Skip to main content

Research Repository

Advanced Search

Low energy–low carbon acute hospital engineering design and operation in the UK : analysis of the impact of In-Use

Bacon, M

Authors

M Bacon



Contributors

Abstract

This thesis introduces an innovative contribution to the low energy - low carbon design of acute hospitals in the UK. The need for innovation in acute hospital design arises from the consistently poor energy and carbon performance of the health care estate over a period of nearly three decades. This poor performance translates into a situation where overall consumption of energy in the health care estate has remained largely unchanged over that period, despite substantive improvements in the asset specifications of these facilities. With respect to the commitment made by the British Government to reduce carbon emissions under the Climate Change Act (2008) this situation is clearly unacceptable, because that commitment requires an 80% reduction in carbon emissions by 2050. Of equal concern has been the poor predictability of energy forecasts for new buildings, where the apparent difference in performance between design and what is actually achieved In-use can be substantial.
In terms of energy consumption and the associated carbon emissions, the author’s research has discovered that the issues of poor In-Use performance and poor predictability of performance in acute hospitals are directly linked. The central causal factor that leads to both is a poor understanding of clinical user practices and the impact of those practices on the design and engineering of the hospital. The research identified that without such an understanding it means that hospital planners, designers and engineers are required to make substantial assumptions concerning In-Use during the design process, most notably concerning occupancy presence and the diversity of occupancy.
The author’s investigations found that it would be possible to use simulation to replicate how acute hospitals operate by utilising clinical process information contained in operational policy documents. It was also discovered that the data derived from clinical information systems could be used to run the simulation. It is the unique methods developed by the author that are his contribution to new knowledge. One method developed by the author is called Occupancy Analytics. The method enables the author to predict occupancy presence and diversity within a range of probabilities at any hour of the day within the hospital. A second method enables these values to be modelled within another simulation called the Whole Facility Energy Model. Using both models in sequence the author discovered how to directly correlate the impacts of operational policies and working practices to energy consumption and the associated carbon emissions.
Using this new knowledge, the factors that determine occupancy presence and diversity were then investigated. The author reasoned that if these could be managed then it would be possible to optimise the engineering design, and the consequential energy consumption and the associated carbon emissions. Through the use of a case study that is both revelatory and longitudinal (Yin, Op Cit) the author demonstrates how this objective was achieved.
Finally, using the results from both Occupancy Analytics and Whole Facility Energy Modelling the author also discovered that it would be possible to establish norms for energy and carbon performance based on each patient type using the clinical services of the acute hospital. In the case study, the author demonstrates how this form of analysis could be used to establish the basis for departmental energy budgets, which he envisages could make an important contribution to the future optimisation of low energy – low carbon performance of acute hospitals in the UK.

Citation

Bacon, M. Low energy–low carbon acute hospital engineering design and operation in the UK : analysis of the impact of In-Use. (Thesis). University of Salford

Thesis Type Thesis
Deposit Date Jul 27, 2015
Publicly Available Date Jul 27, 2015
Additional Information References : A. BARBU, N. GRIFFITHS & MORTON, G. 2013. Achieving energy efficiency through behaviour change: what does it take? TH-AK-13-005-EN-N ed. Luxembourg: European Environment Agency. A. XIE & CHAUVIN, F. Patient assignment for an Oncology Outpatient Unit. 6th Annual IEEE Conference on Automation Science, 2010 Toronto, Canada. AUGENBROE, G. 2011. The role of simulation in performance based building. In: HENSEN, J. L. & LAMBERTS, R. (eds.) Building Performance Simulation for Design and Operation. Abingdon, Oxon: SPON. AUGENBROE, G., LI, Z. & HEO, Y. 2009. HVAC Design Informed by Organisational Simulation. Building Simulation 2009. Glasgow, Scotland. B. ABUSHAKRA, A. SREHTHAPUTRA, J.S. HABERL & CLARIDGE, D. E. 2004. Compilation of diversity factors and schedules for energy and cooling load claculations. ASHRAE. B. BORDASS, J. FIELD & COHEN, R. Energy Performance of Non-Domestic Buildings: Closing the Credibility Gap. Building Performance Congress, 2004, 2004. Building Performance Congress, 10. BACON, M. 1998. Information Management in the Briefing Process. In: AMOR, R. (ed.) Product and Process Modelling in the Building Industry. BRE, Watford, United Kingdom: Building research Establishment. BACON, M. 2008. Knowledge Management Systems of the Future. In: BRANDON, P. & KOCATURK, T. (eds.) Virtual Futures for Design, Construction and Procurement. Oxford, UK: Blackwell Publishing Limited. BACON, M. 2013. Occupancy Analytics: a new basis for low energy – low carbon hospital design and operation in the UK Architectural Design and Management [Online], 10. BEGGS, C. B., KERR, K. G., NOAKES, C. J., HATHWAY, E. A. & SLEIGH, P. A. 2008. The ventilation of multiple-bed hospital wards: Review and analysis. American Journal of Infection Control, 36, 250-259. BERGMAN, M. 2008. The Straw Men of the Qualtitative - Quantitative Divide and their Influence on Mixed Methids Rsearch. In: BERGMAN, M. (ed.) Advances in Mixed Methods Research. London: SAGE Publications Limited. BORDASS, W. 2001. Flying Blind: Everything you wanted to know about energy in commercial buildings but were afraid to ask. London, UK: Association for the Conservation of Energy. BORDASS, W., COHEN, R. & STANDEVEN, M. 1997. PROBE 9. Building Services Journal. BORDASS, W., LEAMAN, A. & BUNN, R. 2007. Controls for End Users. Bracknell. BORMANN, F. H. & KELLERT, S. R. 1991. Ecology, Economics, Ethics, London, Yale University Press. BOUCHLAGHEM, D. 2000. Better Construction Briefing. Better Construction Briefing, 7, 437-438. BOURGEOIS, D. J. 2005. Detailed occupancy prediction, occupancy sensing controls and advanced behavioural modelling within whole building simulation. PH.D Doctor of Philosophy, University of Laval. BPIE 2011. European Buildings Under The Microscope. Buildings Performance Institute Europe (BPIE). BROWN, K., DALY, A., ELLIOT, J., HIGGINS, C. & GRANDERSON, J. Hitting the Whole Traget: Setting and Achieving Goals for Deep Efficiency Buildings. ACEEE Summer Study on Energy Efficiency in Buldings, 2010 Pacific Grove, CA. American Council for an Energy Efficient Environment,. BRYAN, G., COHEN, R. & STEPAN, P. 2011. Wider PS Emissions Reduction Potential Final Report. In: CHANGE, D. O. E. A. C. (ed.). London, UK: CAMCO Global. BURAWOY, M. 1991. The extended case method. In: M.BURAWOY, BURTON, A., FERGUSON, A. A., FOX, K. J., GAMSON, J. & GARTRELL, N. (eds.) Ethnography unbound: Power and resistance in the modern metopolis. Berkely, : University of Calfornia Press. C. DEMANUELE, T. TWEDDELL & DAVIES, M. Bridging the gap between preicted and actual energy performance in schools. World Renewable Energy Congress X1, 2010 Abu Dhabi, UAR. C. YOUNES, C. A. SHDID & BITSUAMLAK, G. 2011. Air infiltration through building envelopes: A review. Journal of Building Physics, 35. CABINET_OFFICE 2013. Government Soft Landings. In: OFFICE, T. C. (ed.). London: Cabinet Office. CHAN, W.-K. & HONG, T. 2013. Statistical Analysis and Modelling of Occupancy Patterns in Open-Plan Offices, using Measured Lighting Switch Data. Journal of Building Simulation. CHESHIRE, D. & MENEZES, A. C. 2013. Evaluating operational energy performance of buildings at the design stage. In: BUTCHER, K. (ed.). London: Chartered Institute of Building Services Engineers. CIBSE 2004. Energy Efficiency in Buildings. CIBSE Guide F. London, UK: CIBSE. CIBSE 2006a. CIBSE Energy Assessment and Reporting Methodology. London: CIBSE. CIBSE 2006b. Guide A: Environmental Design. Internal heat gains. 2006 ed. London: CIBSE. CIBSE 2011. CIBSE Review of Energy Benchmarks for Display Energy Certificates - Analysis of DEC results to date. London, UK: Chartered Institute of Building Services Engineers. CLARIDGE, D. E. 2011. Building simulation for practical operational optimisation. In: J.L.M HENSON & LAMBERTS, R. (eds.) Building Performance Simulation for Design and Operation. Oxon, UK: Spon Press. COLLINS, K. J., DORE, C., EXTON-SMITH, A. N., FOX, R., MACDONALD, I. C. & WOODWARD, P. M. 1977. Accidental hypothermia and impaired temperature homeeostasis in the elderly. British Medical Journal, 1, 353-356. COOPER, I. 2001. Post-occupancy evaluation - where are you? Building Research and Information, 29, 158-163. COOPER, J. O., HERON, T. E. & HEWARD, W. L. 2007. Applied Behavioural Analysis, New jersey, Columbus, Ohio, Pearson. CROZIER, B. 2000. Enhancing the Performance of Oversized Plant. Application Guides S. Old Bracknell Lane West, Bracknell, Berkshire RG12 7AH: BSRIA. D. AMARATUNGA, D. BALDRY, M. SASHAR & NEWTON, R. 2002. Quantitative and qualitative research in the built environment: application of “mixed” research approach. International Journal of Productivity and Performance Management, 51, 17-31. DAINTY, A. 2008. Methodological pluraism in construction management research. In: KNIGHT, A. & RUDDOCK, L. (eds.) Advanced Research Methods in the Built Environment. Chichester, West Sussex, UK: J. Wiley & Sons. DCLG 2008. Improving the energy efficiency of our buildings. In: GOVERNMENT, D. F. C. L. (ed.) The Energy Performance of Buildings (Certificates and Inspections) (England and Wales) Regulations 2007 SI 2007/991, amended by SI 2007/1669, SI 2007/3302 and SI 2008/647. PO Box 236, Wetherby, West Yorkshire, LS23 7NB: Communities and Local Government Publications. DECC. 2007. CRC Energy Efficiency Scheme [Online]. London: Crown. Available: https://http://www.gov.uk/government/publications/carbon-reduction-commitment-crc-energy-efficiency-scheme-april-2013-to-march-2014 [Accessed March 2013. DEGELMAN, L. O. A model for the simulation of daylighting and occupancy sensors as an energy control strategy for office buildings. Proceedings of Building Simulation 99, 1999 Japan. 571-578. DELAY, T., FARMER, S. & JENNINGS, T. 2009. Building the future, today. Available: http://www.carbontrust.com/media/77252/ctc765_building_the_future__today.pdf [Accessed Febriary 2013]. DOH 2007. Health Technical Memorandum 03-01: Specialised ventilation for healthcare premises. Part A - Design and installation. Appendix 2 - Recommended Air Change Rates. London: Stationary Office. DONG, B. & LAM, K. P. 2011. Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network. Journal of Building Performance Simulation, 4, 359-369. DUARTE, C., WYMELENBERG, K. V. D. & RIEGER, C. 2013. Revealing Occupancy Patterns in Office Buildings Through the Use of Annual Occupancy Sensor Data. ASHRAE Annual Conference. ASHRAE. DUONG, T. V., PHUNG, D. Q., BUI, H. H. & VENKATESH, A. Human Behaviour Recognition with Gneric Exponential Family Duration Modelling in the Hidden Semi-Markov Model. 18th International Conference of Pattern Recognition (ICPR 2006), 2006 Hong Kong, China. IEEE Computer Society. E. AZAR & MENASSA, C. 2012. A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Energy and Buildings, 55, 841-853. EISENHARDT, K. 1989. Building Theories from Case Study Research. The Academy of Management Review, 14, 532 - 550. ENVIRONMENT SCIENCE CENTER. 2003. Greener Hospitals: Improving Environmental Performance. Available: http://www.gghc.org/resources.greenoperations.reports.php. EUROPEAN_COMMISSION 2013. Report from the Commission to the European Parlament and Council. Progress by Member States towards Nearly Zero-Energy Buildings. Brussels: European Commission. F.DOMINGUEZ-MUNOZ, CEJUDO-LOPEZ, J. M. & CARRILLO-ANDRES, A. 2010. Uncertainty in peak load calculations. Energy and Buildings, 42, 1010-1018. FONE, D., HOLLINGHURST, S., TEMPLE, M., ROUND, A., LESTER, N., WEIGHTMAN, A., ROBERTS, K., COYLE, E., BEVAN, G. & PALMER, S. 2003. Systematic review of the use and value of computer simulation modelling in population health and health care delivery. Journal of Public Health, 25, 325-335. FRANKEL, M., HEATER, M. & HELLER, J. 2012. Sensitivity Analysis: Relative impact of Design, Commissioing, Maintenance and Operational Variables on the Energy Performance of Office Buildings. . ACEE Summer Study on Energy Efficiency in Buildings. Washington, United States: New Building Institute. GBC-UK 2007. Report on carbon reduction in new non-domestic buildings. In: GOVERNMENT, C. A. L. (ed.). Eland House, Bressenden Place, London SW1E 5DU: HMSO. GEORGE, A. L. & BENNETT, A. 2005. Case Studies and Theory Development in the Social Sciences, Cambridge, MIT Press. GILLESPIE, D. T. 1992. Markov Processes: An introduction for physical scientists, San Diego, USA, Academic Press. GOU, Z. & LAU, S. S. 2013. Post-occupancy evaluation of the thermal environment in a green building. Facilities, 31, 357-371. GRIX, J. 2010. The Foundations of Research, Basingstoke, UK, Palgrave Macmillan. GUZMAN, G. & TRIVELATO, L. F. Drawing the boundaries of Codified Knowledge Transfer. In: MASTER, D., ed. Organisational Learning, Knowledge and Capabilities (OLKC 2007), 2007 University of Western Ontario, Canada. H. BURAK GUNAY, WILLIAM O'BRIEN & BEAUSOLEIL-MORRISON, I. 2013. A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices. Building and Environment, 70, 31-47. HALL, R. W. 2006. Patient Flow: Reducing Delay in Healthcare Delivery, United States, Springer. HANNINEN. R, HITCHCOCK. R & CRAWLEY., D. Performance metrics for demand and supply in the building life-cycle process. REHEVA World Congress, 2007 Helsinki. HAYMAKER, J. & CLEVENGER, C. ASSESSING THE TOTAL ENERGY IMPACT OF OCCUPANT BEHAVIOURAL RESPONSE TO MANUAL AND AUTOMATED LIGHTING SYSTEMS. In: SMITH, I. F. C., ed. Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal 2006 Montreal, Canada. Springer Berlin Heidelberg. HENSEN, J. L. & LAMBERTS, R. 2011. Introduction. In: HENSEN, J. L. & LAMBERTS, R. (eds.) Building Performance Simulation for Design and Operation. Abingdon, Oxon: SPON. HENSHER, M. & EDWARDS, N. 1999. Hospital Provision, activity and productivity in England since the 1980's. British Medical Journal, 319: 911. HENZE, G. P. & NEUMANN, C. 2011. Building simulation in building automation systems. In: HENSEN, J. L. & LAMBERTS, R. (eds.) Building Performance Simulation for Design and Operation. Abingdon, Oxon: SPON. HITCHCOCK, R. J., .PIETTE, M. A. & SELKOWITZ, S. E. Performance Metrics and Life-Cycle Information Management for Building Performance Assurance. Proceedings of the ACEEE ’98 Summer Study on Energy Efficiency in Buildings, 1998. Lawrenece Berkley National Laboratory,Building Technologies Department,Environmental Energy Technologies Division, Ernest Orlando Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, 14. HMGOVERNMENT 2008. Climate Change Act 2008. In: HMSO (ed.) 27. UK: The Stationery Office Limited. HOPE 2011. Hospitals in Europe - Healthcare Data. Brussels, Belgium: HOPE - European Healthcare and Hospitals Federation. HOPFE, C. J. & HENSEN, J. L. M. 2011. Uncertainty analysis in building performance simulation for design support. Energy and Buildings. I.P. KNIGHT & DUNN, G. Evaluation of Heat Gains in UK Office Environments. Worldwide CIBSE / ASHRAE Gathering of the Building Services Industry, 2003 Edinburgh. Sourced from: http://www.cardiff.ac.uk/archi/research/auditac/pdf/auditac_carbon.pdf: Sourced from: http://www.cardiff.ac.uk/archi/research/auditac/pdf/auditac_carbon.pdf. I.P. KNIGHT & DUNN, G. 2005. Small power equipment loads in UK office environments. Energy and Buildings, 37, 87-91. IGT 2010. Low Carbon Construction. In: DEPARTMENT FOR BUSINESS, I. A. S. (ed.). London SW1H 0ET: Crown Publications. J. REIJULA & TOMMELEIN, I. D. 2012. Lean hospitals: a new challenge for facility designers. Intelligent Buildings International, 4, 126-143. J.FARRINGTON-DOUGLAS & BROOKS, R. 2007. The Future Hospital: The progressive case for change. London: Insitute of Public Policy Research. JANDA, K. B. 2011. Buildings don't use energy: people do. Architectural Science Review, 54, 15-22. JONES, P. G. & DAVIES, D. H. 2003. Bridging the Great divide. Worldwide CIBSE/ASHRAE Building Sustainability, Value & Profit Conference, Edinburgh. September 2003. Edinburgh: CIBSE. JUDKOFF, R. & NEYMARK, J. 2006. Model validation and Testing: The methodological foundation of ASHRAE Standard 140. ASHRAE 2006 Annual Meeting. Quebec City, Canada: U.S. Department of Energy, Office of Scientific and Technical Information, P.O. Box 62 Oak Ridge, TN 37831-0062. JUN, J. B., JACOBSON, S. H. & SWISHER, J. R. 1999. Application of discreet-event simulation in health care clinics: A survey. Journal of the Operational Research Society, 50, 109-123. K. TUPPER & FLUHRER, C. 2010. Energy modelling at each design phase: Strategies to mimise design energy use. Fourth National Conference ao IBPSA-USE. New York City, New York: IBPSA. KAMARA, J. M., AUGENBROE, G., ANUMBA, C. J. & CARRILLO, P. M. 2002. Knowledge management in the architecture, engineering and construction industry. Construction Innovation: Infoemation, Process, Management, 2, 53-57. KERSHAW, T. & SIMM, S. 2014. Thoughts of a design team: Barriers to low carbon school design. Sustainable Cities and Society, 11, 40-47. KHAN, M. A. I., NOAKES, C. J. & TOROPOV, V. V. 2012. Multi-objective optimisation of the Ventilation System Design in a Two-Bed Hospital Ward with and Emphasis on Infection Control. First Building Simulation and Otimisation Conference. Loughborough, UK: IBPSA - England. KIUREGHIAN, A. D. & DITLEVSEN, O. 2007. Special workshop on Risk Acceptance and Risk Communication [Online]. Stanford University. Available: http://www.ripid.ethz.ch/Paper/DerKiureghian_paper.pdf [Accessed 08 June 2013 2013]. KOTEK, P., JORDAN, F., KABELE, K. & HENSEN, J. TECHNIQUE OF UNCERTAINTY AND SENSITIVITY ANALYSIS FOR SUSTAINABLE BUILDING ENERGY SYSTEMS PERFORMANCE CALCULATIONS. Building Simulation 2007, 2007 Tianjin University, Tianjin, China. KWOK, S. S. K. & LEE, E. W. M. 2009. A study of the importance of occupancy to building cooling load in prediction by intelligent approach. Energy Conversion and Management, 10. L.PEREZ-LOMBARD, J.ORTIZ & POUT, C. 2008. A review on buildings energy consumption information. Energy and Buildings, 40, 394-398. LAM, J., WAN, K. K. W. & YANG, L. 2008. Sensitivity analysis and energy conservation measures implications. Energy Conversion and Management, 49, 3170-3177. LAPILLONE, B., SEBI, C., POLLIER, K. & MAIRET, N. 2012. Energy Efficiency Trends in Buildings in the EU. Grenoble, France: European Union. LEACH, M., BONNEMA, E., PLESS, S. & TORCELLINI, P. Setting Whole-Building Absolute Energy Use Targets for the K-12 School, Retail, and Healthcare Sectors. ACEEE Summer Study on Energy Efficiency in Buildings, 2012 Pacific Grove, CA. American Council for an Energy Efficient Environment,, 4-2013 - 218. LEIGH, M. E. 2008. Building for the future: Sustainable construction and refurbishment on the government estate. London: The Stationery Office Limited. LI, Y., LEUNG, G. M., TANG, J. W. & YANG, X. 2007. Role of ventilation in airborne transmission of infectous agents in the built environment - a multodisciplanry systematic review. Indoor Air, 17: 2-18, 17. LIAO, C., LIN, Y. & BAROOAH, P. 2012. Agent-based and graphical modelling of building occupancy. Journal of Building Performance Simulation, 5, 5-25. LLEWELLY-DAVIES, R. 1957. Deeper knowledge: better design. Archirects Journal. London. LOWE, R., WINGFIELD, J., BELL, M. & BELL, J. 2007. Evidence for heat losses via party wall cavities in masonry construction. Building Services Engineering Research and Technology, 28, 161-168. M. DONN, S. SELKOWITZ & BORDASS, W. 2009. SIMULATION IN THE SERVICE OF DESIGN – ASKING THE RIGHT QUESTIONS. 11th International Building Performance Simulation Association Conference: Building Simulation. Glasgow, Scotland, : Lawrence Berkeley National Laboratory. M. DONN, S. SELKOWITZ & BORDASS, W. 2012. The building performance sketch. Building Research and Information, 40, 186-208. M. KAGIOGLOU, R. COOPER, G. AOUAD & SEXTON, M. 2000. Rethinking construction: the Generic Design and Construction Process Protocol. Engineering, Construction and Architectural Management, 7, 141-154. M. KISHK, A. AL-HAJI, R. POLLOCK & AOUAD, G. 2003. Effective feedback of the whole-life data to the design process. Journal of Financial Management of Property and Construction,, 8, 89-98. M.A. MELHADO, P.O. BEYER, J.M. HENSEN & SIQUEIRA, L. F. G. 2005. Study of Thermal Comfort, of the energy consumption and the Indoor Envionmental Control in Surgery Rooms. 10th International Conference on Indoor Air Quality and Climate. Beijing: Tsinghua University. M.DIBLEY, H. LI, Y. REZGUI & MILES, J. 2012. An ontology framework for intelligent sensor-based building monitoring. Automation in Construction, 28, 1-14. M.M. GUNAL & PIDD, M. 2010. Discrete event simulation for performance modelling in health care: a review of the literature. Journal of Simulation, 2, 42-51. MAHDAVI, A. 2011. People in building performance simulation. In: J.L.M HENSON & LAMBERTS, R. (eds.) Building Performance Simulation for Design and Operation. London & New York: Spon Press. MAHDAVI, A. & PROGLHOF, C. Toward Emperically-Based Models of People's Presence and Actions in Buildings. Building simulation 2009, 2009 Glasgow, Scotland. MANNING, R. Collaborate and Deliver. CIBSE Presidential Address, 2010. The Chartered Institution of Building Services Engineers, 14. MCKAY, J. & MARSHALL, P. 2001. The dual imperatives of action research. Information, Technology & People, 14, 46-59. MCKINSEY&COMPANY 2009. Pathways to a low carbon economy. http://www.mckinsey.com/Client_Service/Sustainability/Latest_thinking/Pathways_to_a_low_carbon_economy. MEJÍA, R., LÓPEZ, A. & MOLINA, A. 2007. Experiences in developing collaborative engineering environments: An action research approach. Computers in Industry, 58, 329-346. MENEZES, A. 2012. The Performance Gap [Online]. Chartered Institute of Building Services Engineers: CIBSE Energy Performance Group. Available: http://cibse.org/content/microsites/epg/cb11.pdf [Accessed June 2012 2012]. MENEZES, A. C., CRIPPS, A., BOUCHLAGHEM, D. & BUSWELL, R. 2011. Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap. Applied Energy, 97. MORTON, T. A., BRETSCHNEIDER, P., COLEY, D. & KERSHAW, T. 2011. Building a better future: An exploration of beliefs about climate change and perceived need for dadaption within the building industry. Building and Environment, 46, 1151–1158. NAO 2007. Building for the future: Sustainable construction and refurbishment on the government estate. In: OFFICE, N. A. (ed.) HC 324 Session 2006-2007 ed. London: The Stationery Office. NBS 2013. The Building Regulations 2010 (2013 Edition). Conservation fo Fuel and Power, Part L2A. Lonon: RIBA Enterprises Limited. NICOL, J. F. & HUMPHREYS, M. A. 2002. Adapative thermal comfort and sustainable thermal standards for buildings. Energy and Buildings, 34, 563-572. NONANKA, I. & TAKEUCHI, H. 1995. The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation, New York, Oxford University Press. OLESEN, B. J. 2007. The philosophy behind EN15251: Indoor environmental crietrai for design and calculation of energy performance in buildings. Energy and Buildings, 39, 740-749. P. HOES, HENSEN, J. L. M., M.G.L.C. LOOMANS, B.DE VRIES & BOURGEOIS, D. 2009. User behavior in whole building simulation. Energy and Buildings, 41, 295-302. PAGE, J., ROBINSON, D., MOREL, N. & SCARTEZZINI, J.-L. 2008. A generalised stochastic model for the simulation of occupant presence. Energy and Buildings, 40, 83-98. PAGE, J., ROBINSON, D. & SCARTEZZINI, J.-L. Stochastic Simulation of Occupant Presence and Behaviour in Buildings. Building Simulation, 2007 Lausanne, Switzerland. PARKER, J., OATES, M., CROPPER, P. & SHAO, L. 2012. COMPARISON OF EPC, DEC AND DYNAMIC THERMAL SIMULATION RESULTS AT BIRMINGHAM AIRPORT. First Building Simulation and Optimisation Conference. Loughborough, UK: IBPSA - England. PICCO. M, R, L. & MARENGO.M 2014. Towards energy performance evaluation in early stage building design: A simplification methodology for commercial building models. Energy and Buildings, 76, 497-505. PLESS, S., TORCELLINI, P. & SHELTON, D. 2011. Using an Energy Performance Based Design-Build Process to Procure a Large Scale Low-Energy Building. ASHRAE Winter Conference, Las Vegas, Nevada: National Renewable Energy Laboratory. PROVERBS, D. & GAMESON, R. 2006. Case study research. In: KNIGHT, A. & RUDDOCK, L. (eds.) Advanced Research Methods in the Built Environment. Chichester, West Sussex, UK: Wiley- Blackwell. R. FRITSCH, A. KOHLER, M. NYGÅRD-FERGUSON & SCARTEZZINI, J.-L. 1990. A stochastic model of user behaviour regarding ventilation, Building and Environment. Building and Environment, Volume 25,, 173-181. RACE-CIBSE, G. L. 2006. CIBSE Knowledge Series: KS8. How to design a heating system. London, UK: CIBSE. RAE 2010. Engineering a low carbon built environment. In: HARYOTT, R. (ed.). 3 Carlton House Terrace, London, SW1Y 5DG: The Royal Academy of Engineering. RAFTERY, P., KEANE, M. & COSTA, A. Calibration of a Detailed Simulation Model to Energy Monitoring System Data: A Methodology and Case Study. Building Simulation 2009, 2009 Glasgow, Scotland. RAPOPORT, R. 1970. Three Dilemmas in Action Research. Human Relations, 23, 499-513. REID, S. G. 2007. Special workshop on Risk Acceptance and Risk Communication [Online]. Stanford University. Available: http://www.ripid.ethz.ch/PPT/Reid_ppt.pdf [Accessed 08 June 2013 2013]. RIBA 2009. Climate Change Toolkit: 04 Low Carbon Standards and Assessment Methods. London: RIBA Publications. RIBA 2011a. Green Overlay to the RIBA Outline Plan of Work. London: RIBA Enterprises Limited. RIBA 2011b. Green Overlay tot he RIBA Plan of Work. London: RIBA Publishing. RIBA 2013. RIBA Plan of Work 2013. London: RIBA. ROBINSON, D. Some trends and research needs in energy and comfort prediction. Comfort and Energy Use in Buildings - Getting them Right, 2006 Windsor. neeub. ROBINSON, D. & HALDI, F. 2011. Modelling Occupants's presence and behaviour. Journal of Building Performance Simulation, 4, 301-302. ROBINSON, D. & HALDI, F. 2012. Modelling Occupants's presence and behaviour - Part 2. Journal of Building Performance Simulation, 5, 1-3. ROBSON, C. 2011. Real World Research, Chichester, West Sussex, J. Wiley & sons. ROETZEL, A., TSANGRASSOULIS, A., DIETRICH, U. & BUSCING, S. 2011. Context dependency of comfort and energy performance in mixed-mode offices. Journal of Building Performance Simulation, 4, 303 -322. RUNESON, G. & SKITMORE, M. 2008. Scientific theories. In: KNIGHT, A. & RUDDOCK, L. (eds.) Advanced Research Methods in teh Built Environment. Chichester, West Sussex, UK: J. Wiley & Sons. S. SELKOWITZ, J. HABERL & CLARIDGE, D. 1998. Future Directions: Building Technologies and Design Tools. Sourced from: http://www.aceee.org/sites/default/files/publications/proceedings/SS92_Panel1_Paper34.pdf. S.C. BRAILSFORD & HILTON, N. A. 2001. A comparison of discrete event simulation and system dynamics for modelling health care systems. In: RILEY, J. (ed.) Planning for the Future: Health Service Quality and Emergency Accessibility. Glasgow: Glasgow Caledonian University. S.J. HAYTER, P.A. TORCELLINI, R. JUDKOFF, B.C. SNEAD & HAYTER, R. B. 2000. Designing for Sustainability. Sprinfield, VA, United States: National Renewable Energy Authority [NREL]. SARGENT, R. Verification and Validation of Computer Simulation Models. In: HENDERSON, S. G., BILLER, B., HSIEH, M. H., SHORTLE, J., TEW, J. D. & BARTON, R. R., eds. Proceedings of the 2007 Winter Simulation Conference, 2007. INFORMS Simulation Society. SDU, N. 2009. Saving Carbon, Improving Health. In: PENCHEON, D. D. (ed.). Cambridge CB21 5XB: NHS Sustainable Development Unit. SDU, N. 2012. NHS England Carbon Emissions: Carbon Footprint Report Published 2012. London: NHS Sustainability Development Unit. SETTLES, D. G. Human thermal plume, schlieren image. Pennsylvania State University, USA. SHEN, W., ZHANG, Z., SHEN, G. Q. & FERNANDO, T. 2013. The User Pre-Occupancy Evaluation Method in designer-client communication in early design stage: A Case Study. Automation in Construction, 32, 112 -124. SHORT, A., COOK, M., CROPPER, P. & AL-MAIYAH, S. 2010. Low energy refurbishment strategies for health buildings. Journal of Building Performance Simulation, 3, 197-216. SHORT, C. A., COOK, M. & LOMAS, K. J. 2009. Delivery and Performance of a low-energy ventilation and Cooling strategy. Building Research & Information, 37, 1-30. SIEBERS, P. O., MACAL, C. M., GARNETT, J., BUXTON, D. & PIDD, M. 2010. Discrete-Event simulation is dead, long live agent-based simulation! Journal of Simulation, 4, 204-210. SINGER, B. C., MATTHEW, P., GREENBERG, S., TSCHUDI, W. & SARTOR, D. 2009. Hospital Energy Benchmarking. Berkeley, USA: Berkeley National Laboratory. SKOOG, J. & JAGEMAR, L. 2005. Thermal environment in Swedish hospitals: Summer and winter measurments. Energy and Buildings, 37, 872-877. SMITH, B. Beyond Concepts: Ontology as Reality Representation. In: VARZI, A. & VIEU, L., eds. International Conference on Formal Ontology and Information Systems, 2004 Torino, Italy. FOIS. SOMEKH, B. 2006. Action Research - a methodology for change and development, Berkshire, England, McGraw-Hill. SQUAZZONI, F. 2010. The impact of agent based models on social sciences after 15 years of incursions. In: R. FAUCCI & MARCHIONATTI, R. (eds.) History of Economic Ideas. Piza, Roma: Thomson Reuters. STEINFELD, J., BRUCE, A. & WATT, M. 2011. Peak load characteristics of Sydney office buildings and policy recommendations for peak load reduction. Energy and Buildings, 43, 2179-2187. STEVENSON, F. & HUMPHRIES, M. 2007. A post occupancy evaluation of the Dundee Maggie Centre. Dundee, Scotland: University of Dundee. SWISS-RE 2013. Building a Sustainable Future, Risks and Opportunities In: BUSE, I. (ed.). Zurich, Switzerland: SWISS RE. T. MCNULTY & FERLIE, E. 2002. Reengineering Health Care: The Complexities of Organisational Transformation, United States, Oxford University Presss. T.REDDY 2005. Literature Review on Calibration of Building Energy Simulation Programs: Uses, Problems, Procedures, Uncertainty and Tools. ASHRAE Transactions, 112, 226-240. TABAK, V. 2009. User Simulation of Space Utilisation. PhD, Technische Universiteit Eindhoven. TODD, J. A. & FOWLER, K. M. 2010. Measuring Performance of Sustainable Builidngs [Online]. National Institute of Building Sciences. Available: http://www.wbdg.org/resources/measperfsustbldgs.php - intro [Accessed 11/11/2012 2012]. TREEK, C. V. 2011. Indoor thermal quality performance prediction. In: J.L.M HENSON & LAMBERTS, R. (eds.) Building Performance Simulation for Design and Operation. London & New York: Spon Press. TZORTZOPOULOS, P., CODINHOTO, R., KAGIOGLOU, M., ROOKE, J. & KOSKELA, L. 2009. The gaps between healthcare service and building design: a state of the art review. Ambiente construido, 9, 47-55. ULLAH, F. & SHIELDS, M. A. 2011. Governing for the Future - The opportunities for mainstreaming sustainable development. In: COMMISSION, S. D. (ed.). London, UK: SDC. UNDERWOOD, C. P. & YIK, F. W. H. 2004. Modelling Methods for Energy in Buildings, Oxford, United Kingdom, Blackwell Science. V. CORRADO & MECHRI, H. E. 2009. Uncertainty and Sensitivity Analysis for Building Energy Rating. Journal of Building Physics, 33. V. FABI, ANDERSEN., R. V., S.P. CORGNATI, B. W. OLESEN & FILIPPI, M. Description of Occupant Behaviour in Building Energy Simulation: State of the Art and Concepts for Improvement,. 12th Conference of International Building Performance Simulation Association, 2011 Sydney, Australia. VERHEYEN, J., THEYS, N., ALLONSIUS, L. & DESCAMPS, F. 2011. Thermal comfort of patients: Objective and subjective measurements in patient rooms of a Belgian healthcare facility. Building and Environment, 46, 1195-1204. VIROTE, J. & NEVES-SILVA, R. 2012. Stochastic models for building energy prediction based on occupant behaviour and assessment. Energy and Buildings, 183-193. VISCHER, J. C. 2008. Towards a user-centred theory of the built environment. Building Research & Information, 36, 231-240. WANG, C., YAN, D. & JIANG, Y. 2011a. A novel approach for building occupancy simulation. Building simulation, 4. WANG, Z., YANG, R., WANG, L. & DOUNIS, A. Customer-centered Control System for Intelligent and Green Building with Heuristic Optimization. Power Systems Conference and Exposition (PSCE), 2011b Phoenix Convention Center, Phoenix, Arizona, USA. http://ieeexplore.ieee.org/Xplore/home.jsp. WAY, M. & BORDASS, B. 2005. Making feedback and post-occupancy evaluation routine 2: Soft landings – involving design and building teams in improving performance. Building Research & Information, 33, 353-360. WENG, T., BALAJI, B., DUTTA, S., GUPTA, R. & AGARWAL, Y. 2011. Managing plug-loads for demand response within buildings. Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. Seattle, Washington: ACM. WIT, S. D. & AUGENBROE, G. 2002. Analysis of uncertainty in building design evaluations and its implications. Energy and Buildings, 34, 951- 958. YIN, R. K. 2014. Case Study Research Design and Methods, United States, Sage Publications Inc. ZIMMERMANN, G. Agent-based modelling and simulation of individual building occupants. SimBuild 2010, 2010 New York City, New York.
Funders : The Conclude Consultancy Limited

Files






You might also like



Downloadable Citations