See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/48354594 A simulation assessment of the height of light shelves to enhance daylighting quality in tropical office buildings under overcast sky conditions in Dhaka, Banlgadesh Article · July 2009 Source: OAI CITATIONS READS 11 350 4 authors: Ar Joarder Zebun Ahmed Bangladesh University of Engineering and Technology Bangladesh University of Engineering and Technology 16 PUBLICATIONS 54 CITATIONS 33 PUBLICATIONS 39 CITATIONS SEE PROFILE SEE PROFILE A. D. F. Price Monjur Mourshed Loughborough University Cardiff University 343 PUBLICATIONS 5,379 CITATIONS 111 PUBLICATIONS 1,575 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: CONFIGURATION OF WINDOWS AND PARTITION WALLS OF RESIDENTIAL APARTMENTS TO IMPROVE DAYLIGHT CONDITION IN DINING SPACES View project HaCIRIC View project All content following this page was uploaded by Zebun Ahmed on 04 September 2016. The user has requested enhancement of the downloaded file. Building Simulation 2009 University of Strathclyde, Glasgow 27th — 30th July Proceedings of the 11th International Building Performance Simulation Association Conference Editors: Paul A. Strachan Nick J. Kelly Michaël Kummert 11th International Building Performance Simulation Association conference BUILDING SIMULATION 2009 27th – 30th July, 2009 University of Strathclyde, Glasgow Proceedings Edited by: Paul A. Strachan, Nick J. Kelly, and Michaël Kummert Published by: Building Simulation 2009 Organising committee Copyright © 2009 International Building Performance Simulation Association ISBN: 978-0-947649-40-1 Published by the Organizing Committee of The 11th IBPSA Conference Building Simulation 2009 For ordering information see: http://www.ibpsa.org Preface The biennial conference and exhibition of the International Building Performance Simulation Association (IBPSA) is the premier event in the field. It covers all topics related to building performance simulation, from building physics to human factors and HVAC systems, and from software development issues to application of simulation in design practice, commissioning and post-occupancy performance assessment. IBPSA was founded in 1986 to advance and promote the science of building performance simulation in order to improve the design, construction, operation and maintenance of new and existing buildings worldwide. Previous conferences in Vancouver, Canada (1989); Nice, France (1991); Adelaide, Australia (1993); Madison, USA (1995); Prague, Czech Republic (1997); Kyoto, Japan (1999); Rio de Janeiro, Brazil (2001); Eindhoven, The Netherlands (2003); Montréal, Canada (2005); and Beijing, China (2007) have contributed to this goal. Computer simulation has become an increasingly popular tool to predict the environmental performance of buildings in all stages of the building life cycle: from design through commissioning, to operation and management. The capabilities and usability of computer simulation programs have much improved since their early development in the 1960's and 1970's. From these early experimental days, building modelling and simulation have evolved to such an extent that today they are in many situations a required step in the design process, as well as securing a role in the energy certification processes resulting from legislative initiatives to limit carbon emissions and energy demand from buildings. As practitioner use of modelling and simulation tools has permeated the building design professions, the organisers of Building Simulation 2009 felt that it was appropriate to provide a forum for interaction between developers and users of performance simulation tools. For the first time, one day of the conference was devoted to Applications, with papers and discussions focused on case studies, design process development, vendor initiatives, and the needs of the industry. An international Scientific Committee of 160 experts from the private sector, academia, and government research communities was assembled to review abstracts and papers submitted to Building Simulation 2009. Each abstract and each paper was reviewed by at least two members of the Scientific Committee in a doubleblind review process. Over 300 papers were accepted by the Scientific Committee to be presented at Building Simulation 2009 and appear in these proceedings. Papers submitted for the conference were sent in by authors from 41 countries, reflecting the truly international nature of the conference. Accepted papers address the following topic areas: Advances in building physics Human aspects of the indoor environment Building services Commissioning and operation Energy capture and conversion Advances in applications Validation and calibration Software issues Simulation in design practice Regulation/code compliance Application day case studies IBPSA gratefully acknowledges the financial and other support of the Building Simulation 2009 sponsoring organisations which are mentioned in these proceedings. Lori McElroy, Organising Committee Chair Paul Strachan, Organising Committee Co-Chair and Scientific Committee Chair Nick Kelly, Scientific Committee Co-Chair Scientific Executive Committee Paul Strachan, ESRU, University of Strathclyde, UK – Chair Nick Kelly, ESRU, University of Strathclyde, UK – Co-Chair Godfried Augenbroe, Georgia Institute of Technology, United States Ian Beausoleil-Morrison, Carleton University, Canada Michael Donn Victoria University, New Zealand Jan Hensen, TU/e, Technische Universiteit Eindhoven, Netherlands Roberto Lamberts, Universidade Federal de Santa Catarina, Brazil Jeffrey Spitler, Oklahoma State University, United States Terry Williamson, University of Adelaide, Australia Harunori Yoshida, Kyoto University, Japan Yingxin Zhu, Tsinghua University, China Scientific Committee Marc Olivier Abadie Univ La Rochelle FRANCE Minu Agarwal Buro Happold UNITED STATES Don Alexander Cardiff University UNITED KINGDOM Khaled Al-Sallal UAE University UNITED ARAB EMIRATES Philippe Andre University of Liège BELGIUM Mahdavi Ardeshir Vienna University of Technology AUSTRIA Athanasios Argiriou Patras University GREECE Andreas Athienitis Concordia University CANADA Constantinos Balaras NOA GREECE Paul Bannister Exergy Australia Pty Ltd AUSTRALIA Chip Barnaby Wrightsoft Corp UNITED STATES Martin Bartak CTU in Prague CZECH REPUBLIC Marco Beccali università di palermo - dept. DREAM ITALY Michel Bernier Ecole Polytechnique de Montréal CANADA Fabio Bisegna SAPIENZA University of Rome ITALY Jeff Blake Natural Resources Canada CANADA Milorad Bojic University of Kragujevac, Faculty of Mechanical Engineering at Kragujevac SERBIA Denis Bourgeois Université Laval CANADA Richard Buswell Loughborough University UNITED KINGDOM Guedi Capeluto Faculty of Architecture and Town Planning-Technion ISRAEL Joyce Carlo UFSC BRAZIL Antonio Carrillo-Andres University of Malaga SPAIN Pavel Charvat Brno University of Technology CZECH REPUBLIC qingyan Chen Purdue University UNITED STATES Tintai Chow City University HONG KONG Stephane Citherlet University of Applied Sciences of Western Switzerland SWITZERLAND Joe Clarke ESRU, Univ Strathclyde UNITED KINGDOM Jeremy Cockroft ESRU, Univ Strathclyde UNITED KINGDOM Drury Crawley U S Department of Energy UNITED STATES Paul Cropper De Montfort University UNITED KINGDOM Michael Crowley Dublin Institute of Technology IRELAND Stanislav Darula Slovak Academy of Sciences SLOVAKIA Michael Davies UCL UNITED KINGDOM Pieter de Wilde Plymouth University UNITED KINGDOM Larry Degelman Texas A&M University UNITED STATES Bill Dempster Mech Eng, Univ Strathclyde UNITED KINGDOM Jordan Denev Univ Karlsruhr GERMANY Qi-Hong Deng Central South University, Hunan CHINA Johan Desmedt Vito BELGIUM Ery Djunaedy Arup SINGAPORE Frantisek Drkal CTU in Prague CZECH REPUBLIC Clemens Felsmann Univ of Dresden GERMANY Alex Ferguson CETC, Natural Resources Canada CANADA Dusan Fiala University of Stuttgart GERMANY Alan Fung Ryerson University CANADA Enedir Ghisi Federal University of Santa Catarina BRAZIL Louis Gosselin Laval University CANADA Karl Grau Danish Building Research Institute, Aalborg University DENMARK Jeff Haberl Texas A&M UNITED STATES Kamel Haddad CANMET Energy Technology Centre CANADA Neveen Hamza Newcastle University UNITED KINGDOM Victor Hanby De Montfort University UNITED KINGDOM Jon Hand ESRU, Univ Strathclyde UNITED KINGDOM Yukihiro Hashimoto Polytechnic University JAPAN Dariusz Heim Technical University of Lodz POLAND Per Heiselberg Aalborg University DENMARK Hugo Hens KU Leuven BELGIUM Jozef Hraska Slovak University of Technolog SLOVAKIA Atsushi Iwamae Kinki University JAPAN Milan Janak Slovak University of Technology SLOVAKIA Soren Jensen Danish Technological Institute DENMARK Yingchun Ji De Montfort University UNITED KINGDOM Yi Jiang Tsinghua University CHINA Christopher Jones EnerSave Analytics Inc. CANADA Karel Kabele CTU in Prague CZECH REPUBLIC Nick Kelly ESRU, Univ Strathclyde UNITED KINGDOM Essam E. Khalil Cairo University EGYPT Katarzyna Klemm Technical University of Lodz POLAND Georgios Kokogiannakis ESRU, Univ Strathclyde UNITED KINGDOM Hisashi Kotani Osaka University JAPAN Mikkel Kragh Arup UNITED KINGDOM Michaël Kummert ESRU, Univ Strathclyde UNITED KINGDOM Milos Lain CTU in Prague CZECH REPUBLIC Simon Lannon Welsh School of Architecture UNITED KINGDOM Aziz Laouadi NRC CANADA Xianting Li Tsinghua University CHINA Marcel Loomans TU/e NETHERLANDS Phylroy Lopez Natural Resources Canada CANADA James Love University of Calgary CANADA Iain Macdonald NRC CANADA Heinrich Manz EMPA SWITZERLAND John Mardaljevic DeMonfort University UNITED KINGDOM Peter Matiasovsky Slovak Academy of Sciences SLOVAKIA Timothy McDowell Thermal Energy System Specialists UNITED STATES Lori McElroy Sust UNITED KINGDOM Arjen Meijer Univ Delft NETHERLANDS Nathan Mendes PUCPR BRAZIL Jocelyn Millette LTE Hydro-Québec CANADA Hyeun Jun Moon Dankook University KOREA Sven Moosberger HSLU - Technik&Architektur, ZIG SWITZERLAND Laurent Mora TREFLE - UMR CNRS, ENSAM FRANCE Christoph Morbitzer Fulcrum SWEDEN Monjur Mourshed Loughborough University UNITED KINGDOM Dejan Mumovic UCL UNITED KINGDOM Tatsuo Nagai Tokyo University of Science JAPAN Piotr Narowski Warsaw University of Technology POLAND Alberto Neto University of Sao Paulo BRAZIL Joel Neymark J. Neymark & Associates UNITED STATES Fergus Nicol London Metropolitan University UNITED KINGDOM Jianlei Niu Hong Kong Polytechnic HONG KONG Martin Ordenes UFSC BRAZIL Jessen Page Arup UNITED KINGDOM Elena Palomo del Barrio TREFLE-ENSAM FRANCE Cheol-Soo Park SungKyunKwan University KOREA Linda Pearce Russell and Yelland Architects AUSTRALIA Leen Peeters KU Leuven BELGIUM Bruno Peuportier Ecole des Mines de Paris FRANCE Patrice Pinel Carleton University CANADA Wim Plokker Vabi NETHERLANDS Julia Purdy CETC-NRCan CANADA Roman Rabenseifer Slovak University of Technology SLOVAKIA Simon Rees De Montfort University UNITED KINGDOM Christoph Reinhart Harvard University UNITED STATES Peter Riederer CSTB FRANCE Julian Rimmer E.H.Price Ltd CANADA Darren Robinson Swiss Federal Institute of Technology SWITZERLAND Carsten Rode DTU DENMARK Aizaz Samuel ESRU, Univ Strathclyde UNITED KINGDOM Yoshiyuki Shimoda Osaka University JAPAN Veronica Soebarto University of Adelaide AUSTRALIA Jelena Srebric The Penn State University UNITED STATES Paul Strachan ESRU, Univ Strathclyde UNITED KINGDOM Lukas Swan Dalhousie University CANADA Dechao Tang Owens Corning CHINA Jun Tanimoto Kyushu University JAPAN Didier Thevenard Numerical Logics Inc. CANADA Marija Todorovic University of Belgrade SERBIA Paul Tuohy ESRU, Univ Strathclyde UNITED KINGDOM Pekka Tuomaala VTT FINLAND Mitsuhiro Udagawa Kogakuin University JAPAN Chris Underwood Northumbria University UNITED KINGDOM Yasuo Utsumi Miyagi National College of Technology JAPAN Christoph van Treeck TU Munich, LS Bauinformatik GERMANY Baolong Wang Tsinghua University CHINA Michael Wetter Lawrence Berkeley National Laboratory UNITED STATES Jan Wienold Fraunhofer ISE GERMANY Andrew Wright De Montfort University UNITED KINGDOM Jonathan Wright Loughborough University UNITED KINGDOM Etienne Wurtz University of La Rochelle FRANCE Jianjun Xia Tsinghua University CHINA Da Yan Tsinghua University CHINA Xudong Yang Tsinghua University CHINA Akashi Yasunori Kyushu University JAPAN Bing Yu Royal Haskoning NETHERLANDS John Zhai University of Colorado UNITED STATES Tengfei (Tim) Zhang Dalian University of Technology (DUT) CHINA Jianing Zhao Harbin University CHINA Gerhard Zimmermann University of Kaiserslautern GERMANY Radu Zmeureanu Concordia University CANADA Gerhard Zweifel HSLU - Technik&Architektur, ZIG SWITZERLAND Table of Contents Technical Session Papers Zero Carbon Housing INVESTIGATING THE POTENTIAL FOR ACHIEVING LOW AND ZERO CARBON HOMES IN THE UK USING AN INTERACTIVE CODE FOR SUSTAINABLE HOMES BASED TOOLKIT Rajat Gupta; Smita Chandiwala lll USING EXISTING WHOLE BUILDING ENERGY TOOLS FOR DESIGNING NET-ZERO ENERGY BUILDINGS – CHALLENGES AND WORKAROUNDS Rohini Brahme; Zheng O’Neill; William Sisson; Kevin Otto RIGHT SIZING AN OFF-GRID SOLAR HOUSE Huafen Hu; Godfried Augenbroe lll lll 1 9 17 Low Carbon Heating, Cooling and Electricity DYNAMIC SIMULATION OF A COMPLETE SOLAR ASSISTED CONDITIONING SYSTEM IN AN OFFICE BUILDING USING TRNSYS Sébastien Thomas; Philippe André IMPLEMENTATION AND VALIDATION OF COMBUSTION ENGINE MICROCOGENERATION ROUTINE FOR THE SIMULATION PROGRAM IDA-ICE Kari Alanne; Niklas Söderholm; Kai Sirén MODELLING SPACE HEATING SYSTEMS CONNECTED TO DISTRICT HEATING IN CASE OF ELECTRIC POWER FAILURE Patrick Lauenburg; Per-Olof Johansson; Janusz Wollerstrand NUMERICAL MODELLING OF MULTIPLE STANDING COLUMN WELLS FOR HEATING AND COOLING BUILDINGS Bobo Mingsum Ng; Chris Underwood; Sara Walker POTENTIAL FOR THE ENERGY EFFICIENCY ADVANCEMENT IN DISTRICT HEATING AND COOLING PLANT BY RENOVATION Yoshiyuki Shimoda; Yoshitaka Uno; Yoshie Togano; Ryo Sunagawa; Yutaka Shoji lll lll lll lll lll 25 33 41 49 56 Modelling of Controllers APPLICATION OF ANN (ARTIFICIAL-NEURAL-NETWORK) IN RESIDENTIAL THERMAL CONTROL Jin Woo Moon; Sung Kwon Jung; Jong-Jin Kim REAL CONTROLLERS IN THE CONTEXT OF FULL-BUILDING, WHOLE-YEAR SIMULATION Per Sahlin; Axel Bring; Lars Eriksson SELF-CALIBRATION AND OPTIMAL CONTROL OF A DOUBLE-SKIN SYSTEM Seong-Hwan Yoon; Cheol-Soo Park; Godfried Augenbroe; Deuk-Woo Kim lll lll lll 64 72 80 EVALUATION AND OPTIMIZATION OF AIR-CONDITIONER ENERGY SAVING CONTROL CONSIDERING INDOOR THERMAL COMFORT Fulin Wang; Harunori Yoshida; Bo Li; Noriko Umemiya; Satoshi Hashimoto; Takaaki Matsuda; Hideo Shinbayashi lll DEVELOPMENT AND VALIDATION OF DETAILED BUILDING, PLANT AND CONTROLLER MODELLING TO DEMONSTRATE INTERACTIVE BEHAVIOUR OF SYSTEM COMPONENTS Jeremy Cockroft; David Kennedy; Martin O’Hara; Aizaz Samuel; Paul Strachan; Paul Tuohy lll 88 96 Modelling Future Energy Demand EMISSIONS REDUCTIONS IN HOTELS IN 2030 Simon Taylor; Thomas Achtmanis; Li Shao ESTIMATION OF HEATING ENERGY USE OF EXISTING HOUSES IN A FUTURE CLIMATE: 2050 VS 2007 Radu Zmeureanu; Guillaume Renaud; Camille Julien; Jean Brau MODELING THE GLOBAL WARMING EFFECT ON INDOOR TEMPERATURE PEAKS AND COOLING SYSTEMS CONSUMPTION Tímea Dénes-Béjat; Emmanuel Bozonnet; Isabelle Calmet lll lll lll 104 112 117 Energy Demands IMPACT OF ADOPTING THE TIME-OF-USE RATE PLANS ON THE ELECTRICITY COST IN THE CANADIAN RESIDENTIAL SECTOR Ali M. Syed WHOLE BUILDING ENERGY SIMULATION AND ENERGY SAVING POTENTIAL ANALYSIS OF A LARGE PUBLIC BUILDING Yiqun Pan THE INFLUENCE OF DESIGN DECISIONS ON ENERGY CONSUMPTION AND THERMAL PERFORMANCE: THE CASE OF UFRN CAMPUS, BRAZIL Raoni Venâncio; Aldomar Pedrini SIMULATING ENERGY USE IN MULTI-FAMILY DWELLINGS WITH MEASURED, NON CONSTANT HEAT GAINS FROM HOUSEHOLD ELECTRICITY Dennis Johansson; Hans Bagge DERIVING U.S. HOUSEHOLD ENERGY CONSUMPTION PROFILES FROM AMERICAN TIME USE SURVEY DATA – A BOOTSTRAP APPROACH Yun-Shang Chiou lll lll lll lll lll 123 129 137 144 151 Optimisation A GENETIC ALGORITHM FOR OPTIMIZATION OF BUILDING ENVELOPE AND HVAC SYSTEM PARAMETERS Matti Palonen; Ala Hasan; Kai Siren APPLICATION MULTI-OBJECTIVE GENETIC ALGORITHM FOR OPTIMAL DESIGN METHOD OF DISTRIBUTED ENERGY SYSTEM Genku Kayo; Ryozo Ooka lll lll 159 167 COMBINATION OF OPTIMISATION ALGORITHMS FOR A MULTI-OBJECTIVE BUILDING DESIGN PROBLEM Mohamed Hamdy; Ala Hasan; Kai Siren GENETIC OPTIMIZATION OF EXTERNAL SHADING DEVICES Marco Manzan; Francesco Pinto USE OF GENETIC ALGORITHMS FOR MULTICRITERIA OPTIMIZATION OF BUILDING REFURBISHMENT Fanny Pernodet; Hicham Lahmidi; Pierre Michel lll lll lll 173 180 188 Software Focusing on the User DAYLIGHT FACTOR SIMULATIONS: HOW CLOSE DO SIMULATION BEGINNERS 'REALLY' GET? Diego I. Ibarra; Christoph F. Reinhart ARCHITECT FRIENDLY: A COMPARISON OF TEN DIFFERENT BUILDING PERFORMANCE SIMULATION TOOLS Shady Attia; Liliana Beltrán; André De Herde; Jan Hensen BUILDING PERFORMANCE SIMULATION IN UNDERGRADUATE MULTIDISCIPLINARY EDUCATION: LEARNING FROM AN ARCHITECTURE AND ENGINEERING COLLABORATION Patrick P. Charles; Charles R. Thomas lll lll lll 196 204 212 Indoor Air Flow and Natural Ventilation SURVEY OF THE EXISTING APPROACHES TO ASSESS AND DESIGN NATURAL VENTILATION AND NEED FOR FURTHER DEVELOPMENTS Marcello Caciolo; Dominique Marchio; Pascal Stabat O-ZONE: AUTOMATIC GENERATOR OF ZONAL MODEL DEDICATED TO DYNAMIC SIMULATIONS OF AIR FLOWS AND HEAT TRANSFERS IN A ROOM Sihem Tasca-Guernouti; Marjorie Musy; Gérard Hégron CURRENT AND LIKELY FUTURE PERFORMANCE OF ADVANCED NATURAL VENTILATION Yingchun Ji; Kevin J. Lomas HIGH-PERFORMACNE AND LOW-COST COMPUTING FOR INDOOR AIRFLOW Wangda Zuo; Qingyan Chen STUDY ON ENERGY MODELING METHODS OF ATRIUM BUILDINGS Yiqun Pan lll lll lll lll lll 220 228 236 244 250 Glazing and Lighting PERFORMANCE EVALUATION OF PV VENTILATED GLAZING Tin-tai Chow; Zhongzhu Qiu; Chunying Li APPLICATIONS OF IMAGE BASED RENDERING IN LIGHTING SIMULATION: DEVELOPMENT AND EVALUATION OF IMAGE BASED SKY MODELS Mehlika Inanici lll lll 258 264 COMPUTATIONAL SIMULATIONS FOR PREDICTING VERTICAL DAYLIGHT LEVELS IN ATRIUM BUILDINGS Jiangtao Du; Steve Sharples PRACTICAL METHOD TO MODEL TREES FOR DAYLIGHTING SIMULATION USING HEMISPHERICAL PHOTOGRAPHY Khaled A. Al-Sallal IMPACT OF WINDOW DESIGN VARIANTS ON LIGHTING AND COOLING LOADS: CLUES FOR REVISITING LOCAL BUILDING REGULATIONS Sanyogita Manu; Rajan Rawal lll lll lll 272 280 286 Residential Demands STUDY ON SIMULATION MODELLING STRATEGY FOR PREDICTING THERMAL ENERGY DEMAND PROFILES OF RESIDENTIAL COMPLEX Minhwan Kim; Insoo Yook; Dongho Kim; Laehyun Kim; Jaemin Kim ON PREDICTING THE MAGNITUDE AND TEMPORAL VARIATION OF COOLING LOADS IN DETACHED RESIDENTIAL BUILDINGS Ian Beausoleil-Morrison THE EFFECTIVENES OF INTRODUCING EFFECTIVE ENERGY SAVINGS MEASURES FOR HOUSEHOLDS IN JAPAN’S RESIDENTIAL SECTOR Tomo Okamura; Yoshiyuki Shimoda; Yohei Yamaguchi; Yukio Yamaguchi lll lll lll 294 300 308 Heat and Moisture Modelling EXTERNAL COUPLING BETWEEN BES AND HAM PROGRAMS FOR WHOLE-BUILDING SIMULATION Daniel Cóstola; Bert Blocken; Jan Hensen APPLICATION OF EXTERNALLY-COUPLED BES-CFD IN HAM ENGINEERING OF THE INDOOR ENVIRONMENT Mohammad Mirsadeghi; Bert Blocken; Jan Hensen AN ONSET TO WHOLE BUILDING HYGROTHERMAL MODELLING UNDER WIND-DRIVEN RAIN LOADS Masaru Abuku; Hans Janssen; Staf Roels NUMERICAL ANALYSIS OF HEAT AND MOISTURE TRANSFER IN HISTORICAL CERAMIC MASONRY WALL Dariusz Heim; Sebastian Krawczynski; John Grunewald COMMON EXERCISES IN WHOLE BUILDING HAM MODELLING Carsten Rode; Monika Woloszyn lll lll lll lll lll 316 324 332 340 346 Performance Analysis MODELLING OF HYDRAULIC CIRCUITS FOR DIFFERENT HEAT PUMP SYSTEMS IN LOW ENERGY BUILDING Joachim Seifert lll 354 MODELING AND EXPERIMENT ANALYSIS OF VARIABLE REFRIGERANT FLOW AIRCONDITIONING SYSTEMS Xuhui Wang; Jianjun Xia; Xiaoliang Zhang; Sumio Shiochi; Chen Peng; Yi Jiang SIMULATION OF PASSIVE DOWN-DRAUGHT EVAPORATIVE COOLING (PDEC) SYSTEMS IN ENERGYPLUS Daeho Kang; Richard K. Strand MANAGEMENT STRATEGY FOR IMPROVING THE ENERGY EFFICIENCY OF A GROUND COUPLED HVAC SYSTEM N. Pardo; Á. Montero; A. Sala; J. Martos; J.F. Urchueguía PERFORMANCE PREDICTION ON THE FINNED-TUBE DRY COOLER IN WINTER PERIOD Bing Yu; Xichun Wang; Peter Luscuere lll lll lll lll 361 369 377 385 Cooling and Phase Change A REVISED RADIANT TIME SERIES (RTS) METHOD FOR INTERMITTENT COOLING LOAD CALCULATION Mingxian Cui; Tingyao Chen NUMERICAL METHOD FOR CALCULATING LATENT HEAT STORAGE IN CONSTRUCTIONS CONTAINING PHASE CHANGE MATERIAL Jorgen Rose; Andreas Lahme; Niels Uhre Christensen; Per Heiselberg; Magne Hansen; Karl Grau NUMERICAL STUDY OF THE INFLUENCE OF THE THICKNESS AND MELTING POINT ON THE EFFECTIVENESS OF PHASE CHANGE MATERIALS: APPLICATION TO THE RENOVATION OF A LOW INERTIA SCHOOL Joseph Virgone; Jean Noël; Raymond Reisdorf lll lll lll 392 400 408 Modelling Prerequisites and Simple Models PRECONDITIONS FOR THE USE OF SIMULATION IN M&E ENGINEERING P. de Wilde; D. Prickett A SIMPLE CHILLER MODEL FOR HOURLY TIME STEP APPLICATIONS Gerhard Zweifel SIMPLE, FULLY FEATURED BOILER LOOP MODELLING Erica Kenna; Paul Bannister A TWO-NODE HEAT AND MASS TRANSFER NETWORK MODEL FOR LONG-TERM SIMULATION OF VOID SPACE OF HIGH-RISE APARTMENT HOUSES EQUIPPED WITH GASFIRED BOILERS Tatsuo Nagai; Takashi Kurabuchi COMBINING DIFFERENT LEVELS OF DETAIL IN MODELLING FOR AN IMPROVED PRECISION OF HVAC PLANT SIMULATION Manuel Ljubijanki; Christoph Nytsch-Geusen lll lll lll lll lll 414 420 428 434 442 CFD SENSITIVITY ANALYSIS OF PREDICTED CONVECTIVE HEAT TRANSFER AT INTERNAL BUILDING SURFACES TO DIFFUSER MODELLING IN CFD Kim Goethals; Arnold Janssens RESULTS FROM A CFD REFERENCE STUDY INTO THE MODELLING OF HEAT AND SMOKE TRANSPORT BY DIFFERENT CFD-PRACTITIONERS Marcel Loomans; Tony Lemaire; Mirjam van der Plas A PROTOTYPE MESH GENERATION TOOL DEVELOPMENT FOR CFD SIMULATIONS IN ARCHITECTURE DOMAIN Rui Zhang; Yongjie Zhang; Khee Poh Lam; David H. Archer BUILDING SIMULATION OF THERMAL ENVIRONMENT USING RESPONSE FACTOR ANALYSED BY THREE-DIMENSIONAL CFD FACTOR Kyosuke Hiyama; Yoshihiro Ishida; Shinsuke Kato NUMERICAL SIMULATION OF COLD AIR JET ATTACHMENT TO NON ADIABATIC WALLS Nikola Mirkov; Zana Stevanovic; Zarko Stevanovic lll lll lll lll lll 450 458 466 474 481 Climate and Microclimate APPLICATION OF CFD IN BUILDING PERFORMANCE SIMULATION FOR THE OUTDOOR ENVIRONMENT Bert Blocken; Ted Stathopoulos; Jan Carmeliet; Jan Hensen ASSESSING THE ERROR FROM FAILURE TO ACCOUNT FOR URBAN MICROCLIMATE IN COMPUTER SIMULATION OF BUILDING ENERGY PERFORMANCE T. J. Williamson; Evyatar Erell; Veronica Soebarto MULTISCALE MODELLING OF URBAN CLIMATE Adil Rasheed; Darren Robinson ON SELECTING WEATHER DATA SETS TO ESTIMATE A BUILDING DESIGN’S ROBUSTNESS TO CLIMATE VARIATIONS Christian Struck; Pieter de Wilde; Janneke Evers; Jan Hensen; Wim Plokker lll lll lll lll 489 497 505 513 Occupant Data Collection and Behavioural Modelling TOTAL UTILITY DEMAND PREDICTION BASED ON PROBABILISTICALLY GENERATED BEHAVIROAL SCHEDULES OF ACTURAL INHABITANTS Jun Tanimoto; Aya Hagishima A COMPREHENSIVE STOCHASTIC MODEL OF BLIND USAGE: THEORY AND VALIDATION Frédéric Haldi; Darren Robinson TOWARD EMPIRICALLY-BASED MODELS OF PEOPLE'S PRESENCE AND ACTIONS IN BUILDINGS Ardeshir Mahdavi; Claus Pröglhöf A COMPREHENSIVE STOCHASTIC MODEL OF WINDOW USAGE: THEORY AND VALIDATION Frédéric Haldi; Darren Robinson lll lll lll lll 521 529 537 545 Issues in Compliance UK BUILDING ENERGY CALCULATION SOFTWARE APPROVAL SCHEME Michael Chin Nam Lim AN ANALYSIS OF RESULTS VARIABILITY IN ENERGY PERFORMANCE COMPLIANCE VERIFICATION TOOLS Rokia Raslan; Michael Davies; Nick Doylend ASSET RATING: DISAGREEMENT BETWEEN THE RESULTS OBTAINED FROM SOFTWARE FOR ENERGY CERTIFICATION Angelo Milone; Daniele Milone; Salvatore Pitruzzella METHODOLOGY TO ENHANCE THE PORTUGUESE THERMAL REGULATION ACCURACY FOR EXISTING BUILDINGS Pedro Silva COMPARISON OF STANDARD AND CASE-BASED USER PROFILES IN BUILDING’S ENERGY PERFORMANCE SIMULATION Sergio Cantos Gaceo; Félix Iglesias Vázquez; Jordina Vidal Moreno lll lll lll lll lll 553 561 569 576 584 Heat Pumps and Ground Heat Exchange COMPARISON OF A GROUND-COUPLING REFERENCE STANDARD MODEL TO SIMPLIFIED APPROACHES Timothy P. McDowell; Jeff W. Thornton; Matthew J. Duffy SEASONAL STORAGE OF SOLAR ENERGY IN BOREHOLE HEAT EXCHANGERS Simon Chapuis; Michel Bernier SIMULATION OF A DOMESTIC GROUND SOURCE HEAT PUMP SYSTEM USING A TRANSIENT NUMERICAL BORSEHOLE HEAT EXCHANGER MODEL Miaomiao He; Simon Rees; Li Shao USE OF RESPONSE FACTOR METHOD TO MODEL EARTH-TO-AIR HEAT EXCHANGER BEHAVIOUR: INTEGRATION IN A WHOLE BUILDING SIMULATION INTO SIMSPARK PLATFORM Pierre Tittelein; Etienne Wurtz; Gilbert Achard INFLUENCE OF GROUND HEAT EXCHANGER MODELLING ON THE PREDICTED EFFICIENCY OF THE HEAT PUMP SYSTEM Wojciech Kozak; Joachim Seifert; Wolfgang Richter lll lll lll lll lll 591 599 607 615 623 Software Environments and Paradigms METHODOLOGY FOR DEVELOPING REUSABLE SCHEDULER CLASSES APPLICABLE FOR LONG TERM BUILDING ENERGY SIMULATION Eisuke Togashi; Shin-ichi Tanabe BUILDING ENERGY SIMULATION AND OBJECT-ORIENTED MODELLING: REVIEW AND REFLECTIONS UPON ACHIEVED RESULTS AND FURTHER DEVELOPMENTS Livio Mazzarella; Martina Pasini lll lll 631 638 COMPUTATIONAL FLUID DYNAMICS IN AN EQUATION-BASED MODELING ENVIRONMENT Jason Brown A MODELICA-BASED MODEL LIBRARY FOR BUILDING ENERGY AND CONTROL SYSTEMS Michael Wetter lll lll 646 652 Demand Modelling and Optimisation ANALYZING THE ECONOMIC FEASIBILITY OF PERMUTATIONS OF ENERGY-SAVING MEASURES WITH BATCH SIMULATIONS AND PARETO OPTIMIZATION Kristien Achten; Roel De Coninck; Griet Verbeeck; Jeroen Van der Veken OPTIMISATION OF URBAN ENERGY DEMAND USING AN EVOLUTIONARY ALGORITHM Jérôme Henri Kämpf; Darren Robinson IMPACT OF INSULATION ON BUILDING ENERGY CONSUMPTION Jong-Jin Kim; Jin Woo Moon IMPACT OF GREY WATER HEAT RECOVERY ON THE ELECTRICAL DEMAND OF DOMESTIC HOT WATER HEATERS Parham Eslami-nejad; Michel Bernier lll lll lll lll 660 668 674 681 Modelling of Heat Transfer Processes DEVELOPMENT AND VALIDATION OF A VERSATILE METHOD FOR THE CALCULATION OF HEAT TRANSFER IN WATER-BASED RADIANT SYSTEMSq Massimiliano Scarpa; Karl Grau; Bjarne W. Olesen ENERGY MODELLING OF ETFE MEMBRANES IN BUILDING APPLICATIONS Harris Poirazis; Mikkel Kragh; Charlie Hogg A FUNDAMENTAL APPROACH TO COOLING LOAD CALCULATIONS FOR UFADS AND STRATIFIED SPACES Curtis O. Pedersen APPROXIMATE ANALYTICAL SOLUTION FOR THE HEAT TRANSFER IN PACKED BEDS FOR SOLAR THERMAL STORAGE IN BUILDING SIMULATORS F. R. Villatoro; J. Pérez; F. Domínguez-Muñoz; J. M. Cejudo-López ENERGY CAPTURE USING URBAN SURFACE WATER: MODELLING AND IN-SITU MEASUREMENTS Evelyn Aparicio Medrano; Kees Wisse; Rob Uittenbogaard lll lll lll lll lll 688 696 704 709 716 Advanced Systems Modelling AN IMPLEMENTATION OF CO-SIMULATION FOR PERFORMANCE PREDICTION OF INNOVATIVE INTEGRATED HVAC SYSTEMS IN BUILDINGS Marija Trcka; Michael Wetter; Jan L.M. Hensen COMPARISON OF DIFFERENT APPROACHES FOR THE SIMULATION OF BOILERS USING OIL, GAS, PELLETS OR WOOD CHIPS Michel Haller; Lars Konersmann; Robert Haberl; Angela Dröscher; Elimar Frank lll lll 724 732 COMPUTER SIMULATION FOR BETTER DESIGN AND OPERATION OF LARGE OFFICE BUILDING AIR-CONDITIONING Milos Lain; Jan Hensen; Vladimir Zmrhal DYNAMIC MODELLING OF SHIP ENVIRONMENTS WITH ESP-R Andrew Pennycott; Aizaz Samuel DYNAMIC TEST METHOD FOR THE DETERMINATION OF THE GLOBAL SEASONAL PERFORMANCE FACTOR OF HEAT PUMPS USED FOR HEATING, COOLING AND DOMESTIC HOT WATER PREPARATION P. Riederer; V. Partenay; O. Raguideau lll lll lll 740 746 752 Simulation Assisted Control and Control Strategy Development RECENT ADVANCES IN SIMULATION-POWERED BUILDING SYSTEMS CONTROL Ardeshir Mahdavi; Mathias Schuss; Georg Suter; Susanne Metzger; Sergio Camara; Sokol Dervishi CONTROL STRATEGIES FOR MANAGING ENERGY IN A BUILDING MOCK-UP Julien Eynard; Benjamin Paris; Stéphane Grieu; Thierry Talbert; Frédérik Thiery KEY FACTORS: METHODOLOGY FOR ENHANCEMENT AND SUPPORT OF BUILDING ENERGY PERFORMANCE Andrea Costa; Marcus Keane; Paul Raftery; James O’Donnell A SIMULATION-SUPPORTED CONTROL SCHEME FOR NATURAL VENTILATION IN BUILDINGS Ardeshir Mahdavi; Kristina Orehounig; Claus Pröglhöf lll lll lll lll 760 767 775 783 Photovoltaics and Solar Thermal A SIMPLE MODEL OF DOMESTIC PV SYSTEMS AND THEIR INTEGRATION WITH BUILDING LOADS Steven K. Firth; Richard A. Buswell; Kevin J. 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Tran Le; C. Maalouf; T. H. Mai; E. Wurtz lll lll 835 843 Compliance Exemplars DEVELOPMENT OF A WEB-BASED, CODE-COMPLIANT 2001 IECC RESIDENTIAL SIMULATOR FOR TEXAS Jeff Haberl; Charles Culp; Bahman Yazdani EVALUATION OF A PRESCRIPTIVE VENTILATION STANDARD WITH REGARD TO 3 DIFFERENT PERFORMANCE INDICATORS Jelle Laverge; Arnold Janssens DEVELOPMENT OF A WEB-BASED, CODE-COMPLIANT ASHRAE 90.1-1999 COMMERCIAL SIMULATION FOR TEXAS Jeff Haberl; Charles Culp; Bahman Yazdani INTEGRATED CALCULATIONS OF THERMAL BEHAVIOUR OF BUILDINGS AND PROCESSES IN AHU - THE TOOL FOR ASSESSMENT OF ENERGY PERFORMANCE OF COMPLEX BUILDINGS Maciej Mijakowski; Piotr Narowski; Jerzy Sowa THE APPLICATION OF SIMULATION IN THE PREDICTION AND ACHIEVEMENT OF ABSOLUTE BUILDING ENERGY PERFORMANCE Paul Bannister lll lll lll lll lll 851 859 867 875 883 Validation VALIDATION OF THE INDOOR EXPOSURE MODEL FOR DWELLING LIFE CYCLE ASSESSMENT Arjen Meijer THREE CASE STUDIES USING BUILDING SIMULATION TO PREDICT ENERGY PERFORMANCE OF AUSTRALIAN OFFICE BUILDINGS Aileen Marie Egan AUTOMATICALLY CALIBRATING A PROBABILISTIC GRAPHICAL MODEL OF BUILDING ENERGY CONSUMPTION Daniel Tarlow; Andrew Peterman; Benedict R. Schwegler; Christopher Trigg VALIDATION OF THE ZONAL METHOD FOR THE CASE OF ISOTHERMAL AIRFLOW IN A RECTANGULAR CAVITY Tiago Czelusniak; Kátia Cordeiro Mendonça; Marc Olivier Abadie lll lll lll lll 890 896 904 912 Glazing, Solar Processes and Glare GEOMETRIC OPTIMIZATION OF FENESTRATION Jonathan Wright lll 920 IMPLEMENTATION AND APPLICATION OF A NEW BI-DIRECTIONAL SOLAR MODELLING METHOD FOR COMPLEX FACADES WITHIN THE ESP-R BUILDING SIMULATION PROGRAM Francesco Frontini; Tilmann E. Kuhn; Sebastian Herkel; Paul Strachan; Georgios Kokogiannakis lll GOAL-BASED DAYLIGHTING DESIGN USING AN INTERACTIVE SIMULATION METHOD Jaime Lee; Marilyne Andersen; Yu Sheng; Barbara Cutler lll DYNAMIC DAYLIGHT GLARE EVALUATION Jan Wienold lll 928 936 944 Shading and Facades ACTIVE SOLAR SHADING Dennis Johansson lll CALIBRATION OF MODELS WITH MICROSHADE Soren Ostergaard Jensen lll COMPARATIVE STUDY OF STATIC VS. DYNAMIC CONTROLS OF DOUBLE-SKIN SYSTEMS Seong-Hwan Yoon; Cheol-Soo Park; Joon-Woo Lee lll MODELING FENESTRATION WITH SHADING DEVICES IN BUILDING ENERGY SIMULATION: A PRACTICAL APPROACH Bartosz A. Lomanowski; John L. Wright lll METHOD FOR EVALUATING EXTERNAL SHADING DEVICE INFLUENCES ON ZONE GAINS BY ENERGYPLUS SIMULATION PROGRAMME Neslihan Türkmenoglu Bayraktar; Vildan Ok lll 952 960 968 976 984 Uncertainty … or is it? COMPARISON OF SAMPLING TECHNIQUES ON THE PERFORMANCE OF MONTECARLO BASED SENSITIVITY ANALYSIS Iain A. Macdonald IMPACTS OF ARCHITECTURAL DESIGN CHOICES ON BUILDING ENERGY PERFORMANCE APPLICATIONS OF UNCERTAINTY AND SENSITIVITY TECHNIQUES Alfonso Capozzoli; Houcem eddine Mechri; Vincenzo Corrado UNCERTAINTY IN THE THERMAL CONDUCTIVITY OF INSULATION MATERIALS F. Domínguez-Muñoz; B. Anderson; J. M. Cejudo-López; A. Carrillo-Andrés APPLICATION OF PARTIAL SAFETY FACTORS IN BUILDING ENERGY PERFORMANCE ASSESSMENT H. Brohus; P. Heiselberg; A. Hesselholt; H. Rasmussen UNCERTAINTY OF ENERGY CONSUMPTION ASSESSMENT OF DOMESTIC BUILDINGS H. Brohus; P. Heiselberg; A. Simonsen, K. C. Sorensen lll lll lll lll lll 992 1000 1008 1014 1022 Modelling Air Flow A NEW UNDER-AISLE DISPLACEMENT AIR DISTRIBUTION SYSTEM FOR WIDE-BODY AIRCRAFT CABINS Shi Yin; Tengfei Zhang INTEGRATION OF NATURAL VENTILATION MODELS IN THE HYGROTHERMAL AND ENERGY SIMULATION PROGRAM POWERDOMUS Roberto Z. Freire; Marc O. Abadie; Nathan Mendes NUMERICAL STUDY ON THE INFLUENCE OF A CEILING HEIGHT FOR DISPLACEMENT VENTILATION Yukihiro Hashimoto; Hiroko Yoneda PERFORMANCE OF MIXED-MODE COOLING STRATEGIES FOR OFFICE BUILDINGS IN ARID CLIMATES Sherif Ezzeldin; Simon Rees; Malcolm Cook lll lll lll lll 1030 1037 1045 1053 Stock Modelling A GIS-BASED BOTTOM-UP SPACE HEATING DEMAND MODEL OF THE LONDON DOMESTIC STOCK A. Mavrogianni; M. Davies; M. Kolokotroni; I. Hamilton ENERGY MODELLING OF CITY HOUSING STOCK AND ITS TEMPORAL EVOLUTION Natalia Filchakova; Urs Wilke; Darren Robinson A FRAMEWORK FOR COMPARATIVE ANALYSIS OF BELGRADE HOUSING STOCK: DETERMINANTS OF CARBON REDUCTION STRATEGY Miroslava Kavgic; Dejan Mumovic; Mike Davies; Zarko Stevanovic; Maja Djurovic-Petrovic CITYSIM: COMPREHENSIVE MICRO-SIMULATION OF RESOURCE FLOWS FOR SUSTAINABLE URBAN PLANNING Darren Robinson; F. Haldi; J. Kämpf; P. Leroux; D. Perez; A. Rasheed; U. Wilke lll lll lll lll 1061 1068 1075 1083 IEA Validation WHAT DID THEY DO IN IEA 34/43? OR HOW TO DIAGNOSE AND REPAIR BUGS IN 500,000 LINES OF CODE Ron Judkoff; Joel Neymark IEA BESTEST IN-DEPTH DIAGNOSTIC CASES FOR GROUND COUPLED HEAT TRANSFER RELATED TO SLAB-ON-GRADE CONSTRUCTION J. Neymark; R. Judkoff; I. Beausoleil-Morrison; A. Ben-Nakhi; M. Crowley; M. Deru; R. Henninger; H. Ribberink; J. Thornton; A. Wijsman; M. Witte AN EMPIRICAL VALIDATION OF BUILDING SIMULATION SOFTWARE FOR MODELLING OF DOUBLE-SKIN FACADE (DSF) Olena Kalyanova; Per Heiselberg; Clemens Felsmann; Harris Poirazis; Paul Strachan; Aad Wijsman TESTING AND VALIDATION OF SIMULATION TOOLS OF HVAC MECHANICAL EQUIPMENT INCLUDING THEIR CONTROL STRATEGIES PART II: VALIDATION OF COOLING AND HEATING COIL MODELS Clemens Felsmann; Jean Lebrun; Vincent Lemort; Aad Wijsman lll lll lll lll 1091 1099 1107 1115 TESTING AND VALIDATION OF SIMULATION TOOLS OF HVAC MECHANICAL EQUIPMENT INCLUDING THEIR CONTROL STRATEGIES PART III: VALIDATION OF AN AIR-COOLED CHILLER MODEL Vincent Lemort; Jean Lebrun; Clemens Felsmann lll 1121 Comfort and Health ENERGY CONSERVATION VS HEALTH: THE AIR QUALITY PICTURE Aizaz Samuel PRODUCTIVITY AND SICK LEAVE INTEGRATED INTO BUILDING PERFORMANCE SIMULATION Wim Plokker; Aad Wijsman IMPACT OF OCCUPANT BEHAVIOUR ON LIGHTING ENERGY USE Wout Parys; Dirk Saelens; Hugo Hens ANNUAL SIMULATION OF IN-DUCT ULTRAVIOLET GERMICIDAL IRRADIATION SYSTEM PERFORMANCE William Bahnfleth LIFE-CYCLE COST SIMULATION OF IN-DUCT ULTRAVIOLET GERMICIDAL IRRADIATION SYSTEMS Bruno Lee lll lll lll lll lll 1129 1135 1143 1151 1159 Performance Assessment Comparisons COMPARISON OF ENERGY PERFORMANCE ASSESSMENT BETWEEN LEED, BREEAM AND GREEN STAR Ya Roderick; David McEwan; Craig Wheatley; Carlos Alonso A COMPARISON OF THE UK STANDARD ASSESSMENT PROCEDURE (SAP) AND DETAILED SIMULATION OF BUILDING-INTEGRATED RENEWABLE ENERGY SYSTEMS G. B. Murphy lll lll 1167 1177 Performance Assessment Tools and Analysis BEHAVIOURAL COMPARISON OF SOME PREDICTIVE TOOLS USED IN A LOW-ENERGY BUILDING Adrien Brun; Clara Spitz; Etienne Wurtz; Laurent Mora BUILDING SIMULATION AS AN ASSISTING TOOL IN DESIGNING AN ENERGY EFFICIENT BUILDING: A CASE STUDY Michael Pollock; Ya Roderick; David McEwan; Craig Wheatley lll lll 1185 1191 Tool Calibration CALIBRATION OF A DETAILED SIMULATION MODEL TO ENERGY MONITORING SYSTEM DATA: A METHODOLOGY AND CASE STUDY Paul Raftery; Marcus Keane; Andrea Costa POST OCCUPANCY CALIBRATION AND REASSESSMENT OF DESIGN PHASE ENERGY MODELING David E. Bradley; D. Michael Utzinger lll lll 1199 1207 Simulation within the Design Process INTEGRATING ENERGY SIMULATION INTO THE DESIGN PROCESS OF HIGH PERFORMANCE BUILDINGS: A CASE STUDY OF THE ALDO LEOPOLD LEGACY CENTER D. Michael Utzinger; David E. Bradley SIMULATION OF A MULTI-FAMILY BUILDING IN MADRID, SPAIN Francesc Bonvehí; Mónica Bobrovsky; Sergi Cantos; Marco Massetti lll lll 1214 1222 CFD and Air Flow in Design Practice CFD ANALYSIS OF NATURAL VENTILATION IN LARGE SEMI-ENCLOSED BUILDINGS – CASE STUDY: AMSTERDAM ARENA FOOTBALL STADIUM Twan van Hooff; Bert Blocken DYNAMIC THERMAL MODELLING AND PHYSICAL WIND TUNNEL TESTING: AN IMPORTANT PARTNERSHIP FOR BUILDING SIMULATION 2009 CONFERENCE Catherine Simpson; Michael Whalley lll lll 1228 1236 Design Process and Data Quality Assurance IMPROVING COMMUNICATION IN BUILDING SIMULATION SUPPORTED PROJECTS L. Prazeres; J. Kim; J. Hand MODELLING AN EXISTING BUILDING IN DESIGNBUILDER/ENERGYPLUS: CUSTOM VERSUS DEFAULT INPUTS Holly A. Wasilowski; Christoph F. Reinhart lll lll 1244 1252 Lighting and Daylighting LIGHTING POWERS IN SHOPS AND THEIR EFFECT ON THE ENERGY PERFORMANCE OF A SHOPPING MALL Sofia Stensson; Monica Axell; Per Fahlén; Jörgen Eriksson; Simon Roos DEVELOPMENT OF SUPPORT TOOL FOR THERMAL AND LUMINOUS ENVIRONMENTAL DESIGN IN OUTDOOR AND SEMI-OUTDOOR LIVING SPACE USING NUMERICAL ANALYSIS Kazuaki Nakaohkubo; Akira Hoyano lll lll 1260 1268 Dealing with Climate Change MODELLING CLIMATE CHANGE ADAPTATION MEASURES TO REDUCE OVERHEATING RISK IN EXISTING DWELLINGS Rachel Capon; Jake Hacker FIRST EXPERIENCES USING CLIMATE SCENARIOS FOR THE NETHERLANDS IN BUILDING PERFORMANCE SIMULATION Wim Plokker; Janneke Evers; Christiaan Struck; Aad Wijsman; Jan Hensen lll lll 1276 1284 Design Case Studies 2 DEVELOPMENT OF A THERMALLY ROBUST SCHOOL OUTLINE DESIGN FOR THE DIFFERENT CLIMATE REGIONS OF TURKIYE Gülsu Ulukavak Harputlugil; Pieter de Wilde; Jan Hensen; Gülser Çelebi THERMAL ANALYSIS OF A DATA CENTRE COOLING SYSTEM UNDER FAULT CONDITIONS Michaël Kummert; William Dempster; Ken McLean lll lll 1292 1299 Simulation and the User THE ARCHITECT AS PERFORMER OF ENERGY SIMULATION IN THE EARLY DESIGN STAGE Suhas Bambardekar; Ute Poerschke SIMULATION IN THE SERVICE OF DESIGN: ASKING THE RIGHT QUESTIONS Michael Donn; Steve Selkowitz; Bill Bordass lll lll 1306 1314 Design Case Sudies 1 VENTILATION OPERATION IN HOSPITAL ISOLATION ROOM: A MULTI-CRITERION ASSESSMENT CONSIDERING ORGANIZATIONAL BEHAVIOUR Sean Hay Kim; Godfried Augenbroe DEVELOPMENT OF A HIGH-PERFORMANCE OFFICE BUILDING SIMULATION MODEL FOR A HOT AND HUMID CLIMATE Soolyeon Cho; Jeff S. Haberl lll lll 1322 1330 Environmental Impact and LZC Assessment EVALUATION OF ENVIRONMENTAL IMPACTS OF BUILDINGS WITH LESOSAI 6 Didier Favre; Stéphane Citherlet A METHODOLOGY AND TOOLKIT FOR THE ASSESSMENT AND SELECTION OF LZC TECHNOLOGIES IN THE BUILDING DESIGN PROCESS Yaseen Waseem; Nick Kelly; Tom Scanlon; Neil Hall lll lll 1338 1344 Modelling COUPLING OUTER-BODY AIRFLOW AND INNER-BODY THERMOREGULATION MODELS TO PREDICT THERMAL COMFORT IN NONUNIFORM ENVIRONMENTS Gao Naiping; Niu Jianlei; Zhang Hui HEAT AND MOISTURE TRANSFER THROUGH CLOTHING Conrad Voelker; Sabine Hoffmann; Oliver Kornadt; Edward Arens; Hui Zhang; Charlie Huizenga SIMULATING THE EFFECT OF COMPLEX INDOOR ENVIRONMENTAL CONDITIONS ON HUMAN THERMAL COMFORT Paul C. Cropper; Tong Yang; Malcolm J. Cook; Dusan Fiala; Rehan Yousaf MODEL-ADAPTIVE ANALYSIS OF INDOOR THERMAL COMFORT Christoph van Treeck; Jérôme Frisch; Martin Egger; Ernst Rank lll lll lll lll 1352 1360 1367 1374 Tools, Databases and Interfaces PARALLEL: ENERGYPLUS AND THE DEVELOPMENT OF A PARAMETRIC ANALYSIS TOOL Yi Zhang LIVE ENERGY TRNSYS: TRNSYS SIMULATION WITHIN GOOGLE SKETCHUP Malcolm C. Murray; Neil Finlayson; Michaël Kummert; John Macbeth THE DEVELOPMENT OF A SOLAR HOUSE DESIGN TOOL William O'Brien; Andreas Athienitis; Ted Kesik THE PROVENANCES OF YOUR SIMULATION DATA Michael Donn; Drury Crawley; Jon Hand; Andrew Marsh lll lll lll lll 1382 1389 1397 1405 Tools and Techniques DEVELOPMENT OF A SIMULATOR FOR THE URBAN ENVIRONMENTAL LOAD PREDICTION USING SYSTEM DYNAMICS Tomohiro Takai; Toshiyuki Watanabe; Yasunori Akashi; Masato Miyata; Tadahide Sugita; Ayu Terachi THE IDENTIFICATION AND ANALYSIS OF REGIONAL BUILDING STOCK CHARACTERISTICS USING MAP BASED DATA D. K. Alexander; S. Lannon; O. Linovski IMPLEMENTATION OF A CANADIAN RESIDENTIAL ENERGY END-USE MODEL FOR ASSESSING NEW TECHNOLOGY IMPACTS Lukas Swan; V. Ismet Ugursal; Ian Beasuoleil-Morrison DEVELOPMENT OF A FUNCTIONALITY GENERATING SIMULATIONS OF COMMERCIAL AND INSTITUTIONAL BUILDINGS HAVING REPRESENTATIVE CHARACTERISTICS OF A REAL ESTATE STOCK IN QUÉBEC (CANADA) Simon Sansregret; Jocelyn Millette lll lll lll lll 1413 1421 1429 1437 Occupant Data Collection and Modelling 2 SENSOR-BASED OCCUPANCY BEHAVIORAL PATTERN RECOGNITION FOR ENERGY AND COMFORT MANAGEMENT IN INTELLIGENT BUILDINGS Bing Dong; Burton Andrews lll 1444 OCCUPANCY DETECTION THROUGH AN EXTENSIVE ENVIRONMENTAL SENSOR 1452 NETWORK IN AN OPEN-PLAN OFFICE BUILDING Khee Poh Lam; Michael Höynck; Bing Dong; Burton Andrews; Yun-Shang Chiou; Rui Zhang; Diego Benitez; Joonho Choi lll INFORMATION-THEORETIC ENVIRONMENTAL FEATURES SELECTION FOR OCCUPANCY 1460 DETECTION IN OPEN OFFICES Khee Poh Lam; Michael Höynck; Rui Zhang; Burton Andrews; Yun-Shang Chiou; Bing Dong; Diego Benitez lll NEW ENERGY-EFFICIENT BUILDING CONCEPTS AFFECTING HUMAN THERMAL COMFORT AND SENSATION Pekka Tuomaala; Kalevi Piira; Jouko Piippo; Riikka Holopainen; Miimu Airaksinen lll 1468 Inverse Modelling and Calibration USING AN INVERSE METHOD TO EVALUATE ENVELOPE THERMAL PROPERTIES Layal Chahwane; Pierre Tittelein; Etienne Wurtz; Bruno Zuber DATABASE AND SIMULATION MODEL DEVELOPMENT FOR MODELLING THE ENERGY USE OF NON-RESIDENTIAL BUILDINGS Yohei Yamaguchi; Yoshiyuki Shimoda CALIBRATION OF A COMPUTER MODEL OF A NATURALLY-VENTILATED HOUSE LOCATED IN SOUTHERN BRAZIL Cláudia Donald Pereira; Enedir Ghisi ASSISTED CALIBRATION IN BUILDING SIMULATION–ALGORITHM DESCRIPTION AND CASE STUDIES Karine Lavigne lll lll lll lll 1476 1482 1490 1498 Validation in Action VALIDATION OF VELUX DAYLIGHT VISUALIZER 2 AGAINST CIE 171:2006 TEST CASES Raphaël Labayrade; Henrik Wann Jensen; Claus Jensen EXPERIMENTAL VALIDATION OF 3DS MAX DESIGN 2009 AND DAYSIM 3.0 Christoph Reinhart; Pierre-Felix Breton A REFERENCE MODEL FOR GROUND COUPLED HEAT TRANSFER Michael Crowley ANALYSIS OF INDOOR PERFORMANCE OF HOUSES USING RAMMED EARTH WALLS Veronica Soebarto lll lll lll lll 1506 1514 1522 1530 Commissioning SIMULATION AND BIM FOR BUILDING DESIGN, COMMISSIONING AND OPERATION: A COMPARISON WITH THE MICROELECTRONICS INDUSTRY Paul Tuohy RETRO-COMMISSIONING OF A HEAT SOURCE SYSTEM IN A DISTRICT HEATING AND COOLING SYSTEM Eikichi Ono; Harunori Yoshida; Fulin Wang VERIFICATION OF OPTIMUM OPERATION METHOD BY SIMULATION FOR THE HVAC SYSTEM WITH A THERMAL STORAGE TANK IN AN ACTUAL BUILDING Hiromasa Yamaguchi; Harunori Yoshida; Naoki Matsushita; Hisataka Kitora SIMULATION BASED PREDICTIVE CONTROL OF LOW-ENERGY BUILDING SYSTEM USING TWO-STAGE OPTIMIZATION Zhen Yu lll lll lll lll 1538 1546 1554 1562 Technical Session Posters Software developments 1 A NEW APPROACH TO INTER-ZONAL ADJACENCIES ANALYSIS FOR BUILDING ENERGY SIMULATION PROGRAMS Piotr Narowski COMPUTATIONAL ASPECTS OF MODELING DIFFERENT STRATEGIES FOR KITCHEN VENTILATION: A COMPARISON BETWEEN THE MULTI-ZONE APPROACH AND CFD MODELLING WITH REFERENCE TO PREDICTED INDOOR POLLUTANT CONCENTRATIONS Giacomo Villi; Wilmer Pasut; Michele De Carli SOLVING DIFFERENTIAL EQUATIONS IN TRNSYS WITHOUT PROGRAMMING Werner Paul Keilholz; Peter Riederer; Vanessa Ducreux APPLICATION OF THE THREE-DIMENSIONAL NUMERICAL GENERATION OF RESPONSE FACTORS (NGRF) METHOD OF MULTI-YEAR BASED CONDUCTIVE TEMPERATURES IN SOIL AND PASSIVE COOLING EARTH-CONTACT COMPONENTS Stamatis Zoras DEVELOPMENT OF A SIMULATION TOOL FOR CALCULATING MAXIMUM ALLOWABLE COOLING TIME IN CLOSED TYPE COOLING TOWER Mingjie Zheng; Song Pan APPLICATION OF SPECIFIC MODELS IN A GENERAL SIMULATION TOOL Sven Moosberger COMPUTATIONAL SIMULATION OF INDOORS TEMPERATURE FIELD: COMPARATIVE STUDY BETWEEN THE APLICATION OF SHORT AND LONG WIND-CATCH Patricia R. C. Drach A SIMPLE METHOD OF DETERMINING THE INFLUENCE OF THE OVERHANG ON WINDOW SOLAR GAINS Dominik Wodarczyk; Henryk Nowak MORE EFFICIENT ESP-R MODELLING BY AUTOMATIC GENERATION OF INPUT FILES Simon Taylor COUPLING OF TRNSYS WITH SIMULINK: A METHOD TO AUTOMATICALLY EXPORT AND USE TRNSYS MODELS WITHIN SIMULINK AND VICE VERSA P. Riederer; W. Keilholz; V. Ducreux lll lll lll lll lll lll lll lll lll lll 1569 1574 1582 1588 1596 1603 1609 1617 1623 1628 Glazing and lighting THE THERMAL PERFORMANCE OF THE BUILDING ENVELOPE ELEMENTS HAVING GLAZING SURFACES Ioan Moga; Ligia Moga FIELD SUMMER PERFORMANCE OF INTERIOR REFLECTIVE SCREEN SHADES FOR RESIDENTIAL WINDOWS A. D. Galasiu; A. Laouadi; M. M. Armstong; M. C. Swinton; F. Szadkowski lll lll 1634 1642 INFLUENCES OF LIGHTING CONTROL AND NATURAL VENTILATION ON ENERGY USE AND OVERHEATING FOR A DAY-LIT INDUSTRIAL BUILDING Xiaoxin Wang; Chris Kendrick; Ray Ogden ENERGY-EFFICIENT WINDOW FOR CLASSROOM IN WARM TROPICAL AREA Floriberta Binarti MANUAL VS. OPTIMAL CONTROL OF EXTERIOR AND INTERIOR BLIND SYSTEMS Deuk-Woo Kim; Cheol-Soo Park INTEGRATED BUILDING ENERGY AND LIGHTING SIMULATION IN THE FRAMEWORK OF EU PV–LIGHT PROJECT Milan Janak; Reinhard Kainberger THE IMPACT OF GLAZING SELECTION ON DAYLIGHTING AND ENERGY PERFORMANCE FOR AN OFFICE BUILDING IN CANBERRA Peter Taylor; Hélène Duponchel; Paul Bannister ANALYSIS OF DAYLIGHTING DEVICES FOR TYPICAL OFFICE BUILDINGS OF NEW DELHI, INDIA Neha Singhal; Tanmay Tathagat; Rajan Rawal THERMAL EFFICIENCY OF THE WINDOW SHADE Yun Kyu Yi; Ali M. Malkawi ANALYSIS OF ENERGYPLUS DAYLIGHTING MODULE RESULTS: A BRAZILIAN CASE Rejane Magiag Loura; Eleonora Sad de Assis; Roberta Vieira Gonçalves de Souza A SIMULATION ASSESSMENT OF THE HEIGHT OF LIGHT SHELVES TO ENHANCE DAYLIGHTING QUALITY IN TROPICAL OFFICE BUILDINGS UNDER OVERCAST SKY CONDITIONS IN DHAKA, BANGLADESH Ashikur Rahman Joarder; Zebun Nasreen Ahmed; Andrew Price; Monjur Mourshed lll lll lll lll lll lll lll lll lll 1650 1655 1663 1671 1678 1685 1693 1699 1706 Advances in building physics, microclimate PROGRESS IN SIMULATION OF A THERMAL PROBE: MODELLING THE PROBE TO SAMPLE CONDUCTANCE P. de Wilde; R. Griffiths; S. Grove; S. 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Vatavuk lll lll lll lll lll lll lll lll lll lll 1865 1872 1880 1887 1894 1899 1907 1914 1922 1930 Software developments 2 PRODUCT RELATED DEDICATED SOFTWARE DEVELOPMENT BASED ON TRNSYS AND TRNSED Bertrand Labedan; Roel De Coninck A REVIEW AND COMPARISON OF DATA VISUALIZATION TECHNIQUES USED IN BUILDING DESIGN AND IN BUILDING SIMULATION Shweta Srivastav; Simon Lannon; Donald K. Alexander; Phil Jones lll lll 1935 1942 TRNSYS – FEATURES AND FUNCTIONALITITY FOR BUILDING SIMULATION 2009 CONFERENCE Matthew J. Duffy; Marion Hiller; David E. Bradley; Werner Keilholz; Jeff W. Thornton DOCUMENTATION OF OPEN-SOURCE SIMULATION-ADDRESSING MULTIPLE POINTS OF INTEREST Jon W. 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Love THERMAL PERFORMANCE OF EARTH-AIR HEAT EXCHANGER FOR REDUCING COOLING ENERGY DEMAND OF OFFICE BUILDINGS IN THE UNITED KINGDOM Abdullahi Ahmed; Kenneth Ip; Andrew Miller; Kassim Gidado INDOOR THERMAL COMFORT AND ENERGY EFFICIENCY OF VARIOUS AIRCONDITIONING SCHEMES FOR MUSEUM BUILDINGS Gaoming Ge; Fu Xiao; Shengwei Wang lll lll lll lll lll lll lll lll lll lll 2169 2177 2184 2190 2198 2204 2212 2220 2228 2236 Advances in applications: renewables, passive designs, demand reduction ENVELOPE INSULATION AND HEAT BALANCE IN COMMERCIAL BUILDINGS Ana Paula Melo; Roberto Lamberts PERFORMANCE EVALUATION OF THE PHOTOVOLTAIC DOUBLE-SKIN FACADE Zhongzhu Qiu; Tintai Chow; Peng Li; Chunying Li; Jianxing Ren; Wenhuan Wang MODELLING BUOYANCY INDUCED FLOWS OF PASSIVE COOLING SYSTEMS Pedro Correia da Silva; Vítor Leal; J. Correia da Silva PERFORMANCE EVALUATION OF AN AIR-TO-AIR HEAT PUMP COUPLED WITH TEMPERATE AIR-SOURCES INTEGRATED INTO A DWELLING Bruno Filliard; Alain Guiavarch; Bruno Peuportier ENERGY AND THERMAL COMFORT EVALUATION FOR DIFFERENT PASSIVE SOLUTIONS IN A KINDERGARTEN IN SUMMER CONDITIONS Eusébio. Z. E. Conceição; Margarida C. Lopes; Maria Manuela J. R. Lúcio ENSURING DESIRED NATURAL VENTILATION RATE BY MEANS OF OPTIMIZED OPENINGS Louis Stephan; Alain Bastide; Etienne Wurtz; Bernard Souyri DETAILED MODELING OF SOLAR FLAT-PLATE COLLECTORS WITH DESIGN TOOL KOLEKTOR 2.2 Tomas Matuska; Vladimir Zmrhal; Juliane Metzger COMBINED SOLAR THERMAL AND GROUND SOURCE HEAT PUMP SYSTEM Farzin M. Rad; Alan S. Fung; Wey H. Leong lll lll lll lll lll lll lll lll 2243 2251 2258 2266 2274 2282 2289 2297 Eleventh International IBPSA Conference Glasgow, Scotland July 27-30, 2009 A SIMULATION ASSESSMENT OF THE HEIGHT OF LIGHT SHELVES TO ENHANCE DAYLIGHTING QUALITY IN TROPICAL OFFICE BUILDINGS UNDER OVERCAST SKY CONDITIONS IN DHAKA, BANGLADESH Md. Ashikur Rahman Joarder1, 2, Zebun Nasreen Ahmed1, Andrew Price 2 and Monjur Mourshed2 1 Dept. of Architecture, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. 2 HaCIRIC, Dept. of Civil and Bldg. Engg., Loughborough University, Loughborough, UK. ABSTRACT The objective of this paper is to highlight the effectiveness of light shelves in tropical office buildings to enhance interior daylighting quality. Daylight simulation was performed for custom light shelves for a typical office floor of Dhaka City in Bangladesh, to determine the best possible location under overcast sky conditions. Six alternative models of a 3m high study space were created with varying heights of light shelves. The 3D models were first generated in the Ecotect to study the distribution and uniformity of daylight in the interior space with splitflux method. These models were then exported to a physically-based backward raytracer, Radiance Synthetic Imaging software to generate realistic lighting levels for validating and crosschecking the Ecotect results. The results showed that for achieving light levels closest to specified standards, light shelves at a height of 2m above floor level perform better among the seven alternatives studied including the alternative where no light shelves are present. Finally, the decisions were verified with DAYSIM simulation program to ensure the compliance of the decisions with dynamic annual climate-based daylight performance metrics. KEYWORDS Daylight Simulation, Light Shelves, Overcast Sky, Tropical Region. INTRODUCTION Light shelves are typically placed just above eye level to reflect daylight into the interior ceiling and to use the ceiling as a light-reflector for deeper parts of the room. However, it is believed by many that light shelves and overhangs are not efficient in terms of light penetration under overcast sky conditions and reduce the amount of daylight reaching the interior space (Eagan et al., 2002; Littlefair, 1996; Christoffersen, 1995; Aizlewood, 1993). Standing on a neutral position, daylight simulation was performed in this study for custom light shelves for a typical office floor of Dhaka City, Bangladesh, a tropical location, with predominantly overcast skies, to determine the validity of this opinion. The findings of the computer simulation have been evaluated based on average daylight level on the work-plane height, number of points within standard illumination levels, rate of fluctuation of the daylight levels from the window towards deeper spaces, comparison of rendered images of the study space for luminance levels on specific surfaces and lastly varified with different annual performance metrics. Comparing all the findings, the best possible location of light shelves under the given conditions has been suggested. LIGHT SHELVES AND SHADING Architectural shading solutions are typically part of the exterior facade. Light shelves, overhangs, fins, shade screens, venetian blinds, vertical blinds, miniature louvers, and roller shades are commonly used shading systems. One drawback of using shading devices is the risk of reduced daylight level, as all shading devices reduce the view of sky, which is a potential source of daylight. This can increase the use of artificial lighting for interior task. One of the effective forms of shading devices is the light shelf. Light shelves are horizontal projections placed below a window lintel to reflect sunlight further into the interior. Typically placed just above eye level, the light shelf reflects daylight onto the deeper part of the room using the interior ceiling as a reflector instead of a typical shaded interior ceiling (A.G.S., 2000). At the same time, the light shelf shades the lower portion of any window, reducing the amount of light near the window, which normally has much higher illumination than the deeper parts of spaces and projects the light towards the back. The result is a balanced luminous environment, with less contrast and glare. A light shelf divides a window into a view area below and a clerestory area above. Literature survey shows that light shelves and overhangs are not effective for redistributing light under overcast sky conditions and may reduce the amount of daylight reaching the interior space (Eagan et al., 2002). Both full-scale and scale model measurements have shown that windows with internal light shelves produce an overall reduced daylight factor on the work plane throughout the interior space compared to a nonshaded window of equal size (Littlefair, 1996; Christoffersen, 1995; Aizlewood, 1993). To reach a clearer idea about this impact, daylight simulation was performed in this study for custom light shelves with different height levels. - 1706 - a) SKY CONDITIONS OF DHAKA CITY The climate of Dhaka is tropical and has mainly three distinct seasons – the hot dry (March-May), the hot humid (June-November) and the cool dry season (December-February) (Ahmed, 1995). The sky can be clear or overcast in different parts of the various seasons. During summer (Hot Dry) the sky remains both clear (sunny with sun) and overcast. However, during the warm-humid (March-November) period, which includes the monsoons, the sky remains considerably overcast most of the time. It is only during the winter (December-February) that the sky mostly remains clear. Figure 1 shows sky condition of Dhaka city with respect to cloud cover for Test Reference Years (TRY). The site should be within the urban boundary and should have characteristics typical of the general urban fabric of Dhaka city (Figure 2); b) The example office building should represent the trend of typical office design in Dhaka; c) The building should be built in accordance with the Building Construction Regulations of the City Authority; d) Internal layout of the example office space should be such that, there should be provision for daylight inclusion and distribution; and e) The scale and volume of the building should be representative within the conurbation. OPSONIN BUILDING 100% 80% 60% 40% 20% 0% JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Figure 1: Cloud cover for Test Reference Years, Dhaka. (Source: U.S. Department of Energy, 2008) In composite climates like Dhaka, where both overcast as well as clear conditions are observed during the course of each year, designers face difficulties to choose the condition, based on which they should take the design decisions. The ways and means of tackling the two conditions are quite contrasting to each other (Ahmed, 1987). Windows with fixed horizontal overhead is suitable for overcast sky condition, on the other hand vertical and movable devices are recommended for clear sky. In such cases, it is the overcast sky with steep luminance gradation towards zenith and azimuthal uniformity (CIE, 2004) that presents the more critical situation and hence, design for daylight should satisfy good lighting criteria under overcast conditions (Evans, 1987). METHODOLOGY Selection of Site and Building for simulation The climatic characteristics of Dhaka City differ from other cities of the country due to its location and rapid physical development in last few decades. Physical and environmental characteristics are further modified in different locations within the city. This is due to the density of built environment, building types, building heights and orientations, surface quality of the area – whether hard or soft depending on vegetal cover and presence of water bodies and ponds - materials used for construction, and other related factors. The criteria for site and building selection to determine the typical example office space was based on the following factors: Figure 2: Location of nine storied Opsonin Building in urban setting After a survey of 50 office buildings in the city, based on the above criteria, the nine-storey Opsonin Building (corporate office of Opsonin Pharma Limited) was selected for the study (Joarder, 2007). The 2nd floor of the building was chosen as the example space for simulation. This floor is one of the typical floors of the building, the plan of which is repeated on the rest of its six upper floors, and it has different exterior conditions on four different sides. The building has a 7m wide road on the west, some single-storey semi-permanent establishments and a two storey building opposite the lift core on the east, another under-construction nine-storey building 2.5m from the northern edge and a three-storey building 2.5m from the south edge. There is a four-storey building and some greenery just opposite the road in front of the office building (Figure 3). - 1707 - Figure 3: Site and surroundings of nine storied Opsonin Building Simulation Study The amount of daylight penetration and its quality in office interiors due to the changes in the height of light shelves can be assessed by simulation study. In reality, due to the simultaneous influence of many different factors, it is difficult to isolate the exclusive effect of one single aspect, or the changes due to it. Daylight simulation allows the study of the effect of changes in any one aspect, keeping other aspects constant. The observation of simulated behaviour related to changing parameters allows the identification of elements, the reduction or introduction of which in design, contributes to increased daylight penetration into the interior. Another significant advantage of simulation study is that it is possible to analyze the lighting situation for any period of the year simply by assigning simulation parameters (like location, date, time, sky condition etc). In this paper, three PC version simulation programs were used to investigate and analyse the impact of the different heights of light shelves on daylight level at work plane height, aiming to find out the better light shelf height. The first program is a comprehensive building analysis software Ecotect v5.20 which is a highly visual, architectural and analysis tool ( Crawley et al, 2005) with lighting, thermal, energy, shading and acoustic performance analysis functions ( Osaji et al, 2009). The second a more focused and accurate daylighting simulation tool, Desktop Radiance 1.02 (Baker, N. et al., 2002; Ward, 1994). The last one is DAYSIM 2.1.P4 simulation program based on the concept of dynamic annual daylight performance metrics (Reinhart et al., 2006). Simulation Parameters The quantitative and qualitative assessments for the design strategies were based on the following parameters: Location : Dhaka, Bangladesh.(90.40 E, 23.80 N) Time : 15 April, 12.30 pm (Time of physical daylight measurements by a light meter to compare with simulation outputs) Calculation Settings : Full Daylight Analysis Precision : High Local Terrain : Urban Window (dirt on glass) : Average Sky Illumination Model : CIE Overcast Design sky Illuminance : 16,500 Lux (Khan, 2005) Study space The second floor of the building was chosen for the simulation study (Figure 4). All indoor and outdoor conditions were kept constant as found in a physical survey (Joarder, 2007). The models were created assuming unshaded peripheral glazing wall, as shading obstructs a major part of daylight penetration. The interior space was also modelled as vacant, devoid of any partitions or furniture, to avoid the effects of such surfaces, which both block and reflect daylight, and may hide the actual impacts of light shelves. The other parameters of the model of the example space, which were incorporated from values found in a physical survey, are as follows. 2nd floor dimensions : 25m x 28.5m Total floor area : 692 sqm Usable office space : 577 sqm Service area : 115 sqm Clear height of office space : 3m Window to floor ratio : 0.36 Work Plane height : 0.75m The following parameters of existing internal finish materials (as found in the field survey) were used in the model for simulations. Ceiling/ Roof of 2nd floor : White painted plaster (reflectance: 0.7). Internal wall : White painted brickwork (reflectance: 0.7). Floor : Reddish ceramic tiles finishes (reflectance: 0.6). Glazing : Single pane of glass with aluminium frame (reflectance: 0.92, U value: 6W/m2K). The upper and lower floors of the study space were hided during simulation, as it was found during trial simulation study that these floors had no contribution to simulation output but prolong the simulation processing time unnecessarily (Figure 4). SECOND FLOOR Figure 4: View of model used for the simulation. Performance Evaluation Process For the purpose of the simulation, the entire office space was divided into grids with reference to column-structural grid (Figure 5). Then 83 points in the open office space were selected for generation of daylight levels at 0.75m above floor level, representing the work plane height for offices in Dhaka (Joarder, 2007). Each intersection point of the grid was coded according to the number-letter system shown in Figure 5, which is then transferred to Tables later (see Figure 13 & Table 2). - 1708 - The findings of the computer simulation were evaluated based on the following criteria: a) Average daylight level on the work-plane height. b) Number of points within acceptable illumination levels. c) Fluctuation of daylight levels from the window towards deeper parts of the space. d) Comparison of rendered images of the example space generated by Radiance for luminance levels on specific surface. e) Different performance metrics with DAYSIM to verify the compliance of the decisions with annual performance. Figure 5: Plan showing the column/structural grid with node references Daylight simulation was done by Ecotect for these grid points to find predicted daylight levels first (Figure 13). The simulated illumination values were then plotted into Tables with the codes coinciding with intersection of letters (rows) and numbers (columns) (Table 2). These values were then compared for different situations. Two additional axes XX’ & YY’ (Figure 5) were created across the plan to show the fluctuation of the daylight levels from the window towards the opposite face of the space (Figures 5 & 6). The calculations consider the Daylight Factor Concept, which is considered valid (the ratio remains constant) only under overcast sky conditions, i.e. when there is no direct sunlight (Koenigsberger et al., 1997). This is the assumed characteristic of Dhaka’s skies during much of the year. Figure 6: Conceptual building section thru XX’ & YY’ The 3D models were first generated for computer simulation in the Ecotect program to calculate the amount of daylight incident on each grid point on the work-plane. The models were then exported to Radiance Synthetic Imaging software to generate realistic predictions of lighting levels. For Desktop Radiance an additional imaginary horizontal plane 0.75m above floor level was created to show daylight contour map on work plane height (Figure 12). Finally a performance metrics was done with DAYSIM to get a complete annual picture. Simulation of Light shelves Daylight simulation was done for custom light shelves (metal deck, reflectance: 0.88, U value: 7.14 W/m2K) provided in Ecotect software of varying heights for the space under study. According to the Dhaka Metropolitan Building Construction Rule 2006, a maximum overhang of 0.5m is allowed over mandatory open spaces (clause no. 50.6G). Six alternative models of the same space were created for varying heights of light shelves by limiting the projection of the light shelves to a maximum of 0.5m on the exterior, and extending it to the same depth in opposite direction to the interior above eye levels. The varying heights investigated for the fixed light shelves were 1.50m, 1.75m, 2.00m, 2.25m, 2.50m and 2.75m above floor level (Figure 7). Figure 7: Section showing varying light shelf heights investigated in this study COMPARISON Table 1 summarizes the simulation results for daylight illumination level on the 83 visible nodes of the grid with no light shelves and light shelves at heights of 1.50m, 1.75m, 2.00m, 2.25m, 2.50m and 2.75m above floor level. Figure 12 is an output of Radiance Synthetic Imaging software, shows the daylight contour distribution of the same spaces at work plane level for the different heights of light shelves mentioned. - 1709 - 1.50 1.75 2.00 2.25 2.50 2.75 83 83 83 83 83 83 83 Minimum illumination value (lux) Maximum illumination value (lux) Average illumination value (lux) No. of points with values higher than 300 lux No. of points with values within 300-900 lux 0 0 0 0 0 0 0 2600 1700 1400 1300 1500 1700 2000 650 466 370 315 367 422 478 40 39 39 37 34 31 30 22 22 26 35 22 15 13 Illumination values in Lux 45 40 35 30 25 20 15 10 5 0 39 39 37 35 34 31 30 26 22 22 15 1.50m 1.75m 2.00m 2.25m 2.5m 13 2.75m Light shelf hight 300 < Lux 300 - 900 Lux Figure 9: Number of points with an illuminance level value above 300 lux and within the acceptable range (300-900 lux) against different light shelf heights Table 1 shows an average of 650 lux daylight level for the case of without any light shelf where contour range varies from 0 to 2600 lux. Even though the average illumination is greater without light shelves, the distribution is worst because there are greater differences between the max and min values. Comparing the alternative six heights of light shelves, it is found that the average daylight level above work plane is reduced with the introduction of light shelves at all heights compared to the condition without any light shelf (650 Lux). However, among six alternative heights the maximum average daylight condition on work plane height is observed for a light shelf at a height of 2.75m above floor level (478Lux) and the minimum average daylight condition on work plane height is observed for a light shelf at a height of 2.00m above floor level (315 Lux, see Figure 8). 700 glare, leaving only 22 points within the range of acceptable daylight illumination level (300-900 Lux). Figure 9 shows Comparison among different light shelf heights for illumination values more than 300 lux with acceptable illumination range (300-900 lux). No. of points within acceptable values None Analysing nodes Light shelves height (m) Table 1: Daylight distribution on node points with no light shelves and light shelves at different heights 650 Another comparison shows the drop of light along XX’ and YY’ axis within the highest limits (900 lux) in Figure 10 & 11 among three significant height of light shelf (at 1.5m, 2m & 2.5m height), which demonstrates that drops in illumination level become sharper with increasing heights of light shelves. Figure 10: Drop of light along XX’ axis with light shelves of three alternative heights within acceptable range (300-900 lux) 600 478 466 500 422 370 400 367 315 300 200 100 0 None 1.50m 1.75m 2.00m 2.25m 2.5m 2.75m Light shelf hight Figure 8: Average illuminance levels vs. light shelf heights Figure 11: Drop of light along YY’ axis with light shelves of three alternative heights within acceptable range (300-900 lux) For the case of without any light shelf 40 points among 83 have values higher than 300 lux, which is the recommended level mentioned in Bangladesh National Building Code (BNBC, 1993) for general office work. If the deeper parts of the office interior are supplied with the recommended illumination level by supplementary light, the points that have values higher than 900 lux will create glare, as these levels exceed three times the recommended values (Littlefare, 1996; Goulding et al., 1992). Therefore, 18 peripheral points among the 40 points will create In the deeper areas, the effect of light shelf height on illumination level at work plane was not as significant due to overcast sky condition. However, the three-dimensional qualitative comparison along with daylight contour distribution on work plane height generated from Radiance output shows (Figure 12) brightest interior ceiling for a light shelf at a height of 2.00m above floor level and darkest interior ceiling for a light shelf at a height of 2.50m. - 1710 - (a) Light shelves 1.50 m above floor level (b) Light shelves 1.75 m above floor level (c) Light shelves 2.00 m above floor level (d) Light shelves 2.25 m above floor level (e) Light shelves 2.50 m above floor level (f) Light shelves 2.75 m above floor level Figure 12: Daylight contour distributions with light shelves of six alternative heights above floor level. DECISION BASED ON SIMULATION STUDY The comparisons in Figures 10 & 11 show that illumination level near the windows varies widely due to the introduction of light shelves. Figure 8 shows that with light shelf at 2m height a maximum of points (35 points) fall within acceptable illumination range (300-900 Lux) with minimum average illumination value (315 lux from Figure 8) which meets the requirement of BNBC (1993) for office work (300 Lux). Therefore, to keep the desired light levels closest to standard, light shelves at a height of 2m above floor level perform better among all alternative heights studied for a space with 3m ceiling height with illuminated ceiling (Figure 12c). Daylight distribution on node points with light shelves 2m above floor level is shown in Figure 13 & Table 2. Figure 13: Daylight distribution on node points with light shelves 2.00 m above floor level. - 1711 - Table 2: Daylight distribution on node points with light shelves 2.00 m above floor level. A B 1 454 2 769 392 253 3 828 4 751 404 5 838 340 6 740 362 272 7 848 8 810 442 9 847 321 10 820 667 11 682 Contour Range: 0-1300 Lux, C 386 209 130 95 121 113 142 155 209 381 546 D E 426 350 143 132 91 69 56 34 37 37 83 40 73 38 97 78 179 114 384 351 555 582 Visible Nodes: 83, F 406 128 60 39 35 17 53 139 174 418 565 G H I 215 72 40 32 15 18 27 145 248 909 104 0 423 1285 482 659 0 379 762 Average Value: 315 Lux Ambient sampling Ambient accuracy Ambient resolution Specular threshold Direct sampling 1000 20 .01 300 0.15 0.2 For different heights of light shelves, daylight factor (DF), conventional daylight autonomy (DA), continuous daylight autonomy (DAcon), and useful daylight index (UDI) were calculated. For all performance metrics, the same annual illuminance profiles were used based on DAYSIM calculations. The simulation time step was one hour. Results for different performance metrics are shown in Table 4. Comparing the annual performance metrics for seven conditions, it is found that the DA, DAcon above 80% and UDI are same for all cases. However, point illumination that has a DF of 2% or higher above work plane is minimum for light shelf at 2m height (80%) compared to all other conditions, but still satisfy the requirement of LEED-NC 2.1 (to qualify 87 86 84 80 83 83 83 0 - 100 0 – 100 0 - 100 0 – 100 0 – 100 0 – 100 0 – 100 DAcon > 80% DAmax > 5% UDI < 100 UDI ≥ 100 DA % Ambient division 5 None 1.50 1.75 2.00 2.25 2.50 2.75 DF ≥2% Ambient bounces Variant *Italic points have values higher than 300 lux, Italic Bold points have values within acceptable range (300-900 lux), points on XX’ and YY’ axes are shaded. for the LEED-NC 2.1 daylighting credit 8.1 a VALIDATION minimum Daylight Factor of 2% is needed in 75% of To validate the simulation results, measurements of all space occupied for critical visual tasks). DAmax daylight levels were taken by a light meter (TES above 5% is reduced with the increase of the height 1332 Digital Lux Meter) on the study space, to of the light shelves. If the values of 5th column compare illumination values generated by the Ecotect (average illumination value) and 6th column (no. of program with the actual daylight levels on April 15, points with values higher than 300 lux) of Table 1 is 2007 at 12.30 pm (date and time used in simulation) compared with the values of 2nd column (DF ≥ 2 %) when the sky was overcast. The deviation between and 5th column (DAmax > 5%) of Table 4, it is actual and simulated point illumination was 5 % (15 found that the values are similar in characteristics lux on average) approximately (Joarder, 2007). with respect to the changing height of light shelves. Therefore, the objective comparison confirming that Although overcast sky presents the more critical the assumption based on which the simulation was condition, it is also important to get a complete done for critical evaluation (time, sky condition, picture about the performance of the studied light design sky illuminance, etc) can be considered as shelves in other types of sky conditions (clear sky, representative of the whole year for the particular intermediate sky etc.) apparent in different period of studied situation. the year (Joarder et al., 2009). So, finally a simulation was run with DAYSIM to calculate Table 4: DAYSIM simulation results for no light daylight levels under all possible sky conditions that shelves and light shelves at six alternative heights may occur at building site in a year. Table 3 summarizes the non- default Radiance simulation parameters. Table 3: Utilized Simulation Parameters in DAYSIM. 98 98 98 98 98 98 98 73 73 72 71 69 67 67 100 100 100 100 100 100 100 0 0 0 0 0 0 0 CONCLUSION This simulation study was performed to find out the effectiveness of light shelf in tropical location, with predominantly overcast skies. The findings agree with past studies that in a tropical location, such as Bangladesh, the introduction of lightshelf at any height produces an overall reduction of illumination on the work plane throughout the interior space. At the same time, the findings also demonstrate that light shelves at a height of 2m above floor level within 3m high ceilings perform better to enhance daylighting quality in the interior space compared to the alternative locations (Figures 12c & 13, Table 2), - 1712 - including the alternative where no light shelves are present. Although the average illumination is higher without light shelves (Table 1), the distribution is better with light shelves at 2m height. Lastly, it can be concluded that light shelf can be an effective element to enhance the quality of daylight in tropical buildings, if designed and located properly. The interior space was considered vacant for this simulation study, however different arrangements of partitions or furniture can affect the output. Only the height of the light shelf was investigated although size, shape, surface angle, and surface properties of light shelves also have significant influence on their ability to enhance daylighting quality in a space. ACKNOWLEDGEMENTS We would like to thank all of the people who helped make this investigation possible, in particular: the Managing Director, Opsonin Pharma Limited, for his consent to conduct the survey of the study building, and the Dept. of Architecture, BUET, Dhaka, Bangladesh for technical support. REFERENCES A.G.S. 2000. Architectural Graphic Standards, John Wiley & Sons, Inc. New York, CD Rom Versions. Ahmed, K.S. 1995. 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