8th Annual International Energy Conversion Engineering Conference 25 - 28 July 2010, Nashville, TN AIAA 2010-6932 Experimental Investigations of Temperature and Relative Humidity in Surgical Operating Theatres and their Numerical Verifications Eng. Waleed A.Ethbayah and Prof.Dr.Essam E. Khalil Cairo University - Faculty of Engineering, Egypt Khalile1@asme.org, The present work fosters experimental measurements and mathematical modelling techniques to primarily determine the thermal and the relative humidity characteristics in the air-conditioned surgical operating theatre. The present work also demonstrates the effect of the various designs of surgical operating theatres and operational parameters on the flow pattern and temperatures characteristics. The present work is a part of a more comprehensive investigation of the more important factors affecting the air environments in surgical operating theatre. Measured and predicted temperatures and relative humidity profiles are shown to be in good agreement. The present paper introduces several recommendations regarding the optimum design requirements of operating theatres to provide hygiene and comfort environment. Relative humidity affects our comfort in numerous ways both directly and indirectly. It is a thermal sensation, skin moisture, and discomfort, tactile sensation of fabrics, health and perception of air quality. Low humidity affects comfort and health. Comfort complaints about dry nose, throat, eyes and skin occur in low humidity conditions, typically when the dew point temperature is less than 0 oC. Low humidity can lead to drying of the skin and mucous surfaces. On respiratory surfaces, drying can concentrate mucous to the extent that celery clearance and phagocyte activities are reduced, increasing susceptibility to respiratory disease as well as comfort. It was found that any increase in humidity from the low winter levels decreased absenteeism. Excessive drying of the skin can lead to lesions, skin roughness, discomfort and impair the skin’s protective functions. Dusty environments can further exacerbate low humidity dry skin conditions; it was also found that drying from low humidity can contribute to irritation1,2. Eye discomfort increased with time in low humidity environments with dew point temperature less than 2 oC. This paper is devoted to the numerical and experimental investigations of the influence of the surgical operating theatre geometrical and airside design on the temperature and relative humidity distributions to create sterile conditions in the theatre. The present work offers examples of measured relative humidity profiles in an operating theatre in (New Kasr El-Aini Teaching Hospital – 1200 beds – Cairo University – Egypt). These experimental results were carried out to verify the proposed numerical procedure and particularly in the vicinity of the supply outlets and operating table. I. Introduction International standards and norms had highlighted the importance of the local spatial distribution of air temperatures and relative humidity on the preferred ambient temperature within the comfort range1-21. The recommended relative humidity limits have caused a lot of discussions during each revision of standard 551. EN ISO 773010 recommends a humidity range of 30% to 70% RH. That recommendation is mainly for indoor air quality purposes. In standards 551, the lower humidity limit is a dew point temperature of 2 oC. The upper limits are 18 oC wet bulb in winter and 20 oC wet bulb temperature in summer. Requirements for acceptable IAQ, Berglund3 and Fang et al.8, specified a narrower range for relative humidity.Any deviation from these conditions can inhibit or promote the growth of bacteria and activate or deactivate viruses. Some bacteria such as Legionella pneumophila are basically water-borne and survive more readily in humid environment. Codes and guidelines specify temperature and humidity range criteria in some hospital areas as a measure for infection control as well as comfort. The air relative humidity levels affect our comfort in numerous ways both directly and indirectly. It is a thermal sensation, skin moisture, and discomfort, tactile sensation of fabrics, health and perception of air quality. Low 1 American Institute of Aeronautics and Astronautics Copyright © 2010 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. humidity affects comfort and health. Comfort complaints about dry nose, throat, eyes and skin occur in low humidity conditions, typically when the dew point is less than 0 oC. Low humidity can lead to drying of the skin and mucous surfaces. On respiratory surfaces, drying can concentrate mucous to the extent that celery clearance and phagocyte activities are reduced, increasing susceptibility to respiratory disease as well as comfort, Berglund3. Green9; quantified that respiratory illness and absenteeism increase in winter with decreasing humidity; it was found that any increase in humidity from the low winter levels decreased absenteeism. Excessive drying of the skin can lead to lesions, skin roughness, discomfort and impair the skin’s protective functions. Dusty environments can further exacerbate low humidity dry skin conditions. Eye discomfort increased with time in low humidity environments with dew point temperature less than 2 oC. The relevant standard specifies that to decrease the possibility of discomfort due to low humidity, dew point temperature in occupied spaces should not be less than 3 oC. Elevated relative humidity levels reduce comfort. At lower levels of humidity, thermal sensation is a good indicator of overall thermal comfort and acceptability. But at high humidity levels thermal sensation alone is not a reliable predictor of thermal comfort. Nevins et al.17; recommended that on the warm side of the comfort zone, the relative humidity should not exceed 60% to prevent warm discomfort. The upper relative humidity limit was a dew point of 17 oC, based not so much on comfort as on considerations of mold growth and other moisture related phenomena. Standard 55 specified 60% relative humidity as the upper limit, also based primarily on considerations of mold growth. This limit was challenged for not being based on direct human thermal comfort and for being too restrictive for evaporative coolers, Berglund2. An occupant’s overall satisfaction with the thermal environment is probably a cognitive result of temperature, moisture, friction and other sensations. A recent comfort study of Berglund et al.3 done at temperature of 21 oC to 27 oC with dew points of 2 oC to 20 oC at three levels of activity (sedentary, intermittent walking and standing, and continuous walking) describes extensive subjective responses of 20 subjects and measures physiological responses from five subjects. Humidity and temperature also affect our perceptions of air quality and aspect of comfort and satisfaction with the environment Berglund2. The present paper is devoted to the numerical and experimental investigations of the influence of the surgical operating theatre geometrical and airside design on the temperature and relative humidity distributions to create sterile conditions in the theatre. The present work offers examples of measured relative humidity profiles obtained in one of the operating theatres in New Kasr El-Aini Teaching Hospital – 1200 beds – Cairo University – Egypt. These experimental results were carried out to verify the proposed numerical procedure and particularly in the vicinity of the supply outlets and operating table. II. Experiments The present experimental program describes the test facility setup and the measurements procedure followed in the present work. Experimental Facility The HVAC system that serves the hospital under consideration is all air system (Variable air volume VAV). The HVAC System is in operation most of year. In new Kasr El-Aini Teaching Hospital, the air conditioning system of surgical operating theatres was designed as an all air system, which supplies the different operating theatres in the hospital by air. The supplied airflow to the operating theaters was discharged through four square ceiling perforated diffusers each 0.6 x 0.6 m; the air was supplied through a High-Efficiency Particulate Air Filter (HEPA). The four supply diffusers in each surgical operating theatre had the same relative dimensions in each theatre .Figure 1-a represents a schematic layout of the surgical operating theatres in the New Kasr El-Aini Teaching Hospital, the figure represents elevation and plan views of the surgical operating theatre. It also indicates the positions of the supply air outlets relative to operating table, which was located in the center of the room. The present experiments were performed with the presence of the room furniture, such as the operating table, operating devices, operating lamp, and all additional accessories, as shown in figure 1-b. The room dimensions are 6.6 m in length (L), 4.0 m in width (w), and 3.0 m in height (H). The operating table has a length of 2.0 m and a width of 0.5 m, and is 1.0 m high. Four ceiling square perforated supply air diffusers were located at the ceiling of the room with dimensions of 0.6 m x 0.6 m; their centres were located at X, Z equal to (1.7,1.3), (4.9,1.3), (4.9,2.7), and (1.7,2.7) as shown in Figure 1-a. The extract ports were located on the left wall with dimensions of 0.5 m x 0.3 m and 0.5 m x 0.2 m; the lower port center point is located at 0.75 m from the floor. The higher extract port center point is located at 2.25 m from the floor Kameel12. Different studies for other operating theatres at a larger Teaching Hospital (4500 beds) were also carried out as well as at a Paediatric Teaching hospital of 500 beds. 2 American Institute of Aeronautics and Astronautics Experimental Procedure Measurements of relative humidity and temperatures were obtained in the vicinity of the bed by dividing the measuring locations to 10 points at Y direction. Measurements were obtained in the vicinity of the operating table between 0.0 m and 2.0 m from patient leg to head and at about 1.0 m high above room finished floor. Heated thermocouple anemometer was used .its probe has a semi-sphere shape with a diameter of 1.0 mm, and was supported in separate telescopic support of a cylindrical shape with a diameter equals to 12.0 mm at its base position. That separate telescope has a maximum length of 675 mm, which allowed measurements from remote distances. The heated thermocouple anemometer measurements depended on the time averaging the results. Time constant, (typically 120 seconds in the present work) was set to collect readings that are time averaged to yield the final time-averaged measured value. The heated thermocouple anemometer measures relative humidity with accuracy ± 2.0%. For more details of the experimental procedure, reference should be made to Kameel12. Figure 1-a. Schematic layout of the surgical operating theatre (elevation view) Figure 1-b. General view of the surgical operating theatre under consideration and the Hospital in the Right Bottom Corner 3 American Institute of Aeronautics and Astronautics III. Mathematical Simulation Three time averaged velocity components in X, Y, and Z coordinate directions were obtained by solving the governing equations using a “SIMPLE Numerical Algorithm" [Semi Implicit Method for Pressure Linked Equation] described earlier in the work Spalding et al.21 and Khalil14. The turbulence characteristics were represented by a modified and appropriately extended two-equation k - ε model to account for normal and shear stresses and near-wall functions. Fluid properties such as densities, viscosity and thermal conductivity were obtained from references. The present work made use of the Computer Program FLUENT, which was developed Fluent Inc. as commercial code. The non-commercial 3DHVAC, developed by Khalil14 and modified later by Kameel12, and by Khalil 16 was also utilized. The program solves the differential equations governing the transport of mass, three momentum components, energy, and contaminant concentration in three-dimensional configurations. Numerical Procedure The Computer Program, FLUENT is used to solve the time-independent (steady state) conservation equations together with the RNG k-ε model, Chen5, Chow6, El Gharbi 7, and the corresponding inlet and wall boundary conditions. The numerical grid divided the space of the surgical operating theatre into discritized computational cells (600000 grid nodes). The discrete finite difference equations were solved with the SIMPLE algorithm, Patankar, 20. Solution convergence criteria, was applied at each iteration and ensured the summations of normalized residuals were less than 0.1% for flow, 1% for k andε, and 0.1 for energy. Model Validation Previous comparisons between measured and predicted flow pattern, turbulence characteristics, and heat transfer were reported earlier in the open literature utilizing the present computational capabilities (FLUENT), reference should be made to these for further details and assessments. The predictions of flow and turbulence characteristics were reported to be in general qualitative agreement with the corresponding experiments and numerical simulations published by others, Kameel12, Khalil16. The obtained trends are in adequate agreement for engineering purposes. Nevertheless discrepancies exist and particularly in the vicinity of recirculation zone boundaries. More discrepancies were also observed in situation with heating flows than those of ventilation or cooling. For more details of validations for present application (Surgical Operating Theatres) review Kameel,12 and Khalil,15,16. These papers describe the validation of the turbulence model to use it for the prediction of airflow characteristics in the surgical operating theatres. IV.Experimental Results The experimental results of relative humidity measurements and mean air dry bulb temperatures over the operating table will be presented here in graphical plots. The results are well identified and indicated higher values near the surgeon stand; these values show a minimum in the middle portion of the table. Figure 2 and figure 3 show the measured time-dependent air temperatures and relative humidity at various locations along the operating table. 4 American Institute of Aeronautics and Astronautics Temperature Distribution with Time At 1.8 from leg Temperature Distribution with Time At 0.5 from leg 26 Temperatur (C) Temperature (C) 26 24 22 20 24 22 20 18 18 00:10 00:15 00:20 Time (hr.) 00:25 22:10 22:15 22:20 Time (hr.) Figure 2. Measured temperatures at different locations Figure 3. Relative Humidity variation with time over 24 hours 5 American Institute of Aeronautics and Astronautics 22:25 Figure 4. Measured Time averaged air temperature at bed from leg to head positions Figure 5. Measured Time averaged Relative Humidity at bed from leg to head positions Figures 4 and 5 show the variation of temperature and relative humidity along the bed from the head to leg of patient. V. Numerical Results Figure 6 shows the present numerical predictions of local velocities W in Z direction (vertical), kinetic energy of turbulence k, air dry bulb temperatures T, K and the relative humidity Rh% as obtained from the present Fluent Predictions for design of Figure 1. The temperature contours shown in Figure 6 are based on an inlet air temperature of 286K. It can be seen that for both vertical and horizontal planes that the temperature variation at the occupants’ zone (zone up to 2 m from finished floor) from is not more than 3◦C, which satisfies the prevailing norms. A recirculation zone was observed in Figures 6, these zones are to be avoided and are not advised in operating rooms as these can result in accumulation of contaminants and the air will not be renewed. The upper corners of the room are also the worst positions for recirculation zones to exist. 6 American Institute of Aeronautics and Astronautics Predicted downward Velocities w ,m/s Predicted kinetic Energy of turbulence k,m2/s2 Air Temperature, T, K Relative Humidity, RH% Figure 6: Predictions of mean air velocity m/s, kinetic energy of turbulence m2/s2, temperature oK , and relative humidity % 7 American Institute of Aeronautics and Astronautics This model presents more realistic prediction of real cases; the effect of bluff body shape table on the air streamlines was predicted and indicated the respective influence on flow regime and heat transfer. As anticipated the effect of the light pendent dominates the flow pattern in the immediate downstream vicinity of the supply diffuser; the velocity contours are strongly deflected by the light pendent. An emerging recirculation zone was predicted downstream the pendent. Such zone affects the isothermal lines. It should be noticed also that these changes due to lighting fixture and humans are strong but local in nature; as the rest of the room is not really affected. The effect of the presence of the surgery team as blocks in the flow pattern is also depicted; the presence of the surgery team affects the isotherms and iso relative humidity contours to a large extent. From the computational results shown in Figure 6 , it can be concluded that the operating table, light pendent and surgery team presence has a pronounced influence on the local air distribution and flow regimes, isotherms and relative humidity contours. In such room, such observation supports the importance of following comprehensive studies to analyze operating theatre furniture arrangements for better airflow and temperature distribution and less contamination. VI. Discussions and Conclusions From the HVAC design point of view in this surgical operating theatre, it can be interpreted that the designer focused to sterilize the operating area (over the operating table) by developing an air curtain surrounding the operating table area. The designer established this curtain by injecting the supply air from four individual air supply grilles at the corners of the operating area. From figures 6, one can notice that this design methodology failed and the operating area is not bounded enough to prevent the airflow crossover the boundaries toward the operating area. The most optimum way to sterilize the operating zone where surgical team operates is by flooding this zone by currents of sterilized air to limit the airflow in one direction only, from the ceiling supply past the occupancy zone and outwards of the operating area. From the previous results, one can conclude that the airside designs have a strong influence on the relative humidity distribution and consequently on the IAQ. The location of the supply outlets plays the major role in his distribution. The extraction ports should be located in the right location to correct the errors of the bad selection of the supply outlet positions. The restrictions of the architect and civil engineer to use a large supply area in the center of the room hinder attainment of good indoor air \quality and comfort. Acknowledgment Thanks and gratitude is respectfully due to Cairo University New Kasr El-Aini Teaching Hospital for the technical support throughout the work. References 1. 2. 3. ASHRAE Standards, 55-1992, ASHRAE, ATLANTA. Berglund, L. G., 1998, Comfort and humidity, ASHRAE Journal, page 35 - 40, August 1998. Berglund, L. G., and Cain, W. S., 1989, Perceived air quality and the thermal environment, The Human equations: Health and Comfort, Proceedings of ASHRAE/SOEH Conference IAQ’89 ATLANTA: ASHRAE, pp. 93-99. 4. Blum, H.M. 1956, Experimental verification of turbulence models, ASHRAE Transactions, Vol. 1, PP 30, Published by ASHRAE, ATLANTA USA. 5. Chen Q., Comparison of different k-e models for indoor air flow computations. Numerical heat transfer, Part B, 28, 1995, pp 353-369 6. Chow T.T., Ward S., Liu J.P and Chan F.C.K.,2000, Air flow in hospital operating theatre: Hong Kong experience, Proceeding of Healthy Building, Volume 2, Finland 2000. 7. El Gharbi, N., 2007, Modélisation et simulation du transfert de chaleur et de masse dans unespace confiné. Application au conditionnement d’air d’une salle de chirurgie, M.Sc.Thesis, Houari Boumediene University, Algeria. 8. Fang, L., Clausen, G., and Fanger, P. O., 1996, The impact of temperature and humidity on perception and emission of indoor air pollutants, Indoor Air’ 96, Tokyo, Institute of Public health. 9. Green, G. H., 1982, The positive and negative effects of building humidification, ASHRAE Transactions, 88(1): 1049-1061. 10. ISO EN 7730, 1994, Moderate thermal environments – Determination of the PMV and PPD indices and specification of the conditions for thermal comfort, International Standards Organization, Geneva. 8 American Institute of Aeronautics and Astronautics 11. Kameel, R. 2000. Computer aided design of flow regimes in air-conditioned spaces, M.Sc. Thesis, Cairo University. 12. Kameel, R. 2002. Computer aided design of flow regimes in air-conditioned operating theatres, Ph.D. Thesis, Cairo University. 13. Kameel, R., and Khalil, E.E. 2002. Generation of the grid node distribution using modified hyperbolic equations, 40th Aerospace Sciences Meeting & Exhibit, AIAA-2002-656. 14. Khalil, E. E., 1978, Numerical Procedures as a tool to Engineering Design, Proc. Informatica 78, Yugoslavia. 15. Khalil, E.E. 2007,” Computer Simulation of Indoor Air Quality and Air Flow Regimes in Surgical Operating Theatres”, Proceedings IAQVEC 2007, Paper 222747_1. October 2007. 16. Khalil, E.E., 2008, On the Modelling Of Thermal Comfort and Air Quality in Air Conditioned Healthcare Applications”, International Review Of Mechanical Engineering, IREME, March Issue, Vol 1 N° 2, 2008 17. Nevins, R., Gonzalez, R. R., Nishi, Y., and Gagge, A. P., 1975, Effect of changes in ambient temperature and level of humidity on comfort and thermal sensations, ASHRAE Transactions, 81(2). 18. Nielsen, P.V. 1989. Numerical prediction of air distribution in rooms, ASHRAE, Building systems: room air and air contaminant distribution, 1989. 19. Olesen, B. W., 2000, Guidelines for comfort, ASHRAE Journal, page 41 - 46, August 1998. 20. Patankar, S. V. 1980, Numerical Heat Transfer and Fluid Flow, 1980 Hemisphere, WDC. 21. Spalding, D.B., and Patankar, S.V. 1974. A calculation procedure for heat, mass and momentum transfer in three dimensional parabolic flows, Int. J. Heat & Mass Transfer, 15, pp. 1787. 9 American Institute of Aeronautics and Astronautics