Projects
Projects: Summary of Projects by RegionProjects in Region Scotland involving University of Strathclyde : GR/S82855/01 |
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| Reference Number | GR/S82855/01 | |
| Title | Predicting the effect of occupant behaviour on thermal comfort & energy use in buildings | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Residential and commercial) 100%; | |
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%; ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 50%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Professor JF Nicol No email address given Low Energy Architecture Research Unit London Metropolitan University |
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| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 06 December 2004 | |
| End Date | 05 June 2007 | |
| Duration | 30 months | |
| Total Grant Value | £132,768 | |
| Industrial Sectors | Construction | |
| Region | London | |
| Programme | Process Environment and Sustainability | |
| Investigators | Principal Investigator | Professor JF Nicol , Low Energy Architecture Research Unit, London Metropolitan University (99.999%) |
| Other Investigator | Professor J Clarke , Mechanical Engineering, University of Strathclyde (0.001%) |
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| Industrial Collaborator | Project Contact , Colt International Ltd (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | Computer simulations are increasingly used to predict the indoor climate and energy use of buildings. At present there is no accepted method for simulating naturally ventilated buildings controlled by their occupants. Yet the majority of buildings fall into this category. This proposal tackles this problem by using existing databases about the use of controls such as windows, blinds, lights and fans in offices.The project will develop empirical algorithms to give the probability of occupants using a particular control. Many of the input variables to a simulation are also not precisely known, but probability distributions are available from meteorological records.The combined probability distribution of these factors will be predicted. From this it will be possible to calculate the distribution of energy use and indoor climate (and hence the risk of discomfort) using dynamic simulation techniques. New methods to predict the future performance of naturally ventilated building will bedeveloped as part of the project. This project will give building designers and others a method for predicting the future risk of discomfort and range of energy use in naturally ventilated building | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 01/01/07 | |
