MASTERPLANNING AND SMART
CITIES
GLASGOW TSB FUTURE CITIES (PM KENNY)
Introduction
GLASGOW TSB FUTURE CITIES
This project will develop an APP for building and home owners in Glasgow to
understand their energy use, examine simple Energy Conservation Measures to
help them reduce their consumption and provide them with potential retrofit
solutions that will be applicable to their buildings
Technological Outcomes
• Development of database (could be spatial) to host information from the user and the
<VE> results
• The capability to perform Apache Simulation via a remote server
• A 2D web app for energy retrofit
• A 3D web portal for the display of the results
• A KPI methodology to analyse the results
• A pre-defined list of ECM’s specified to building typologies
• Energy retrofit solution dataset
• A pre-defined list of master templates specific to building typologies
GLASGOW TSB FUTURE CITIES
Deliverables within the next year
Deliverables within the next year
4f
HIERARCHY OF
SOLUTIONS
REPORTS FOR BM
AND BENCMARKS
REPORTS FOR
SERVICE/TECH
SUPPLIERS
BIOCLIMATE
REPORT
4e
THE USER RETURNS
THEIR CHOICES
4
THE USER UPDATES
THEIR ACTUAL AND
ESTIMATED ENERGY
DATA
2D WEB APP
3c
THE USER INPUTS
THEIR SAVINGS MADE
BASED ON THE USE OF
THE APP
3e
2
3d
THE EE DATASET
IS APPLIED TO
THE DSM MODEL
THE 3D MODEL
IS SIMULATED
ON THE CLOUD
THE RETROFIT
OPTIONS AND
RESULTS ARE
GENERATED
THE MASTER
TEMPLATE IS APPLIED
TO THE 3D MODEL TO
CREATE A DSM
1c
4c
THE APPROPRIATE
SIMPLE MEASURES
FOR THE BUILDING
TYPOLOGY IS
GENERATED
MASTER
TEMPLATE
APPROPRIATE
TO BUILDING
A SIMPLE 3D
GEOMETRY
MODEL IS
CREATED
A REDUCED
RETROFIT
DATASET IS
CREATED BASED
ON USER INFO.
6
BIOCLIMATIC
INFORMATION
SPECIFIC TO
THE AREA IS
PRODUCED
4d
3f
KPI CALCULATION
METHODOLOGY
RETROFIT
RESULTS ARE
REFINED BASED
ON GIS INFO (E.G.
ZONING)
1b
3g
SIMPLE ECM’S PREDEFINED PER
BUILDING TYPOLOGY
3b
5a
OS MAPS
1
ENERGY RETROFIT
SOLUTIONS
CEI VALUES PREDEFINED BY LOCATION
3
KPI RESULTS FROM
DATABASE
5
STANDARD
DATABASE
SPATIAL
DATABASE
OPEN STREET MAP
DATA
4a
OTHER GIS DATA
(E.G ZONING INFO,
LISTED BUILDINGS)
BEI VALUES PREDEFINED BY LOCATION
AND BUILDING
TYPOLOGY
FUTURE CLIMATE
FILES
DSM MASTER
TEMPLATES FOR
VARIOUS BUILDING
TYPOLOGIES
3a
1a
USER
INFORMATION
4b
XML/JSON OR
SIMILAR FILE
TRANSFER DATA TO
VIEWING
PLATFORM
5a
3D WEB PORTAL
5b
ONLINE CITY
MODEL
DISPLAYING
KPI’S
MIRIAM - SBRI FUTURE CITIES (PM TBC)
Introduction
MIRIAM – SBRI FUTURE CITIES
MIRIAM is an interoperable Neighbourhood Manager and City Information Model which gathers both RealTime Information (RTI) and Building Specific Information in a city to analyse and understand both power
and heat data at macro-scale. All data is collected via a user friendly web portal, whether it is RTI to be
updated at regular time intervals or manual data that is entered once. Where possible, real data is used to
show real measured energy use in the city and where real data is not available, simulated data is generated
via the building specific information. All data is stored via an interoperable City Information Model (CIM)
server. The filtered data is viewed via an online portal as 3D model geometry, 2D interactive maps or raw
data. This is used to understand energy usage and flows in the city and the amount and type of data
available will determine if one or all views can be utilised. The data from the CIM server is also exported to
a Neighbourhood Manager (NM), which characterises the city in terms of power and heat.
Technological Outcomes
• Feasibility report on the development of the MIRIAM concept which will act as the
phase 2 submission
• Mock-up of the potential user interface and paper prototype
• Specification of the CIM database and sample prototype
• Specification of the Neighbourhood Manager and sample prototype
• Small scale demonstration using Craighall buildings
MIRIAM - SBRI FUTURE CITIES
Current Tasks
Deliverables within the next year
•
•
•
Feasibility report on how we will deliver the project
Application for Phase 2
Small scale prototype and demonstration
INDICATE (PM NIALL)
Introduction
INDICATE
Through the development of an interactive cloud-based tool that will provide
dynamic assessment of the interactions between buildings, the electricity grid and
Renewable Technologies and Information Communication Technologies (ICT), the
INDICATE project will support decision makers and other stakeholders towards
transforming their cities to a “Smart” City
Technological Outcomes
• Link with GIS and other Real City Data
• The DSM Environment as part of the city
• Analysis Methodology for Evaluation and Quantification
of a Cities Energy Use
• Development of Sustainable Urban Indicators
• The Application of Indicators for Standardisation
• The Application of Indicators for cross-European application
• Web Based Graphical User Interface (GUI) for Masterplanning
• The Virtual City Model (VCM) for City Characterisation and Assessment
INDICATE
Current Tasks
Deliverables within the next year
•
•
•
•
•
Characterisation of the City (April ‘14)
Report on how we can quantify energy efficiency within a city (Mar ‘14)
Dynamic Simulation Model of the City (CitySUMS Phase 2) (Jun ‘14)
Agreement on Virtual City Model Architecture (Sep ‘14)
Templates for Building Typologies (Sep ‘14)
The Creation
of the SMART
CITY
PLAN:
• Urban
Design
• City Planning
• Energy and
Buildings
• Renewable
Resources
REDUCE:
• Urban Heat
Island Effect
• Energy
Consumption
• Carbon
Emissions
• Fossil Fuel
Demand
INTEGRATE:
• District
Heating &
Cooling
• Centralised/
Decentralised
RETs
• ‘Smart’
Technologies
OPTIMISE:
• Existing
Systems
• Energy
Demand
• Energy
Efficiency
FASUDIR (PM VALERIA)
Project overview
FASUDIR- Friendly and Affordable Sustainable Urban
Districts Retrofitting
OBJECTIVE: to develop an Integrated Decision Support Tool (IDST) for a friendly and
affordable sustainable energy retrofitting of buildings and districts, including:
• a novel methodology for selecting and prioritizing energy efficiency retrofitting
interventions at district level
• a software platform supporting this methodology
Principal Objectives of the Project
Definition of the framework (districts
characterization, identification of KPIs)
Development of the software platform
supporting the methodology (IDST tool)
Development of a repository of
technologies and best practices
Development of a methodology for decision
making on buildings energy retrofitting from a
sustainable district perspective
Validation in 3 European districts
(Santiago de Compostela, Budapest, Frankfurt)
FASUDIR
Reports
Deliverables within the next year
•
•
•
•
•
•
European urban districts analysis (Nov. 2013)
EU context for the building energy retrofitting at district scale (Nov. 2013)
Integration of available resources in the IDST approach (Feb. 2014)
IDST Key Performance Indicators (May 2014)
Best practices on energy retrofitting a district scale (Feb. 2014)
Technologies and systems for sustainable building/district retrofitting (Aug.
2014)
•
•
IDST user requirements (May 2014)
External resources integration (Aug.
2014)
Communication pack (Nov. 2013)
Project website (Nov. 2013)
First version of the Dissemination Plan
(Feb.2014)
•
•
•
iURBAN (PM VALERIA)
Project overview
iURBAN- Intelligent URBAn eNergy tool
OBJECTIVE: to develop and validate an intelligent URBAn eNergy tool
based on a smart Decision Support System (smartDSS) to efficiently
manage and distribute at a city level the energy produced and consumed at
a local level, incorporating behavioural aspects of the users
Principal Objectives of the Project
Development of a Smart City database
network to obtain real-time data from
energy consumptions and productions in
different end points of the city
Development of a business model
framework based on the concept of dynamic
value networks of actors
Development of Data Models to forecast shortterm energy consumptions and productions
Development of a smart DSS to optimize
the energy distribution in cities, prevent or
reduce critical peak situations and involve to
all the participants in the energy market
Validation in two European cities (Rijeka, Croatia
and Plovdiv, Bulgaria)
iURBAN
Reports
Deliverables within the next year
•
•
•
•
•
Reference operational scenarios (Jan. 2014)
Requirements for the ICT infrastructure (May 2014)
Architecture, database and data acquisition (June 2014)
Roles and Relationships for Each Pilot Scenario (July 2014)
Key indicators and pilot definition (March 2014)
• Interim pilot validation
(Sept. 2014)
• Dissemination Plan
(Sept. 2014)
• Engagement initiatives
(Jan. 2014)
CI-NERGY
Project Overview
CI-NERGY – ‘Smart cities with sustainable energy
systems’
A multidisciplinary coordinated PhD programme aims to train young scientists
to develop urban decision making and operational optimisation software tools
to minimise non-renewable energy use in cities.
Principal Objectives of the Project
•
Providing high-level integrated trainings to PhDs and Research Fellows (ERs) covering building physics,
energy supply technologies, software engineering and information technology;
•
Developing concepts, modelling and decision-making tools for highly energy efficient cities based on PhD
& ER research
•
Implementing and testing all solutions to two pilot cities: Geneva and Vienna.
4 years
CI-NERGY
Reports
IES role in the project (allocated 1 PhD)
•
Extend the scope of building simulation model to the urban simulation model, by upgrading IES
<VE> software to the urban scale;
•
Integrate the software solutions with other tools developed by the network partners ;
•
Develop a quasi-automated model calibration methodology for the urban simulation models
•
Calibrate the city models with case study data to demonstrate fitness for purpose
Deliverables within the next year
•
MS 12: Validation and scenario testing of simulation platform with monitoring data finalized, Jul
2017
•
D10: Exploitation and IPR report, Sep 2017