Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations.
Building Energy Assessment at stock level is an important task in identifying the best strategies for achieving a more energy efficient and low carbon society. Non-domestic buildings are identified to make up 17% of total energy consumption in England and Wales and 19% of CO2 emissions. To understan...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2009
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| Online Access: | https://eprints.nottingham.ac.uk/10895/ |
| _version_ | 1848791149798490112 |
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| author | Smith, Stefan Thor |
| author_facet | Smith, Stefan Thor |
| author_sort | Smith, Stefan Thor |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Building Energy Assessment at stock level is an important task in identifying the best strategies for achieving a more energy efficient and low carbon society. Non-domestic buildings are identified to make up 17% of total energy consumption in England and Wales and 19% of CO2 emissions. To understand the energy requirement of the non-domestic stock, large scale (empirically based) energy surveying has been carried out namely in the Non-Domestic Building Stock project and Carbon Reductions in Buildings project.
It is recognised that building energy surveys are difficult to carry out; expensive on time, technical resources, and metered energy use is (on a large scale) necessarily crude.
With improving computer ability, dynamic energy modelling tools allow for detailed assessment of building energy use and comfort performance. Using Monte Carlo simulation a method of assessing the probable variability in non-domestic building thermal energy loads was developed. The method was developed to capture the heterogeneity in non-domestic buildings at national stock level and determine how stock level physical form variations impact thermal loading.
Non-domestic building form and surrounding topography are considered to be influenced by building control laws and building regulations. Control documentation often stipulates guidelines and best practice - hence building heterogeneity. As such, historical regulations were used to develop basic probability distributions of potential physical characteristics associated with non-domestic buildings.
Stating that form and site characteristics are randomly determined from the defined probability distributions, a stochastic modelling process to represent thermal variation in a building stock was developed. This provided potential for categorising building thermal performance by period of construction. The model utilised a dynamic simulation model as a 'black-box' for predicting base thermal loads. |
| first_indexed | 2025-11-14T18:23:55Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-10895 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:23:55Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-108952025-02-28T11:10:09Z https://eprints.nottingham.ac.uk/10895/ Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. Smith, Stefan Thor Building Energy Assessment at stock level is an important task in identifying the best strategies for achieving a more energy efficient and low carbon society. Non-domestic buildings are identified to make up 17% of total energy consumption in England and Wales and 19% of CO2 emissions. To understand the energy requirement of the non-domestic stock, large scale (empirically based) energy surveying has been carried out namely in the Non-Domestic Building Stock project and Carbon Reductions in Buildings project. It is recognised that building energy surveys are difficult to carry out; expensive on time, technical resources, and metered energy use is (on a large scale) necessarily crude. With improving computer ability, dynamic energy modelling tools allow for detailed assessment of building energy use and comfort performance. Using Monte Carlo simulation a method of assessing the probable variability in non-domestic building thermal energy loads was developed. The method was developed to capture the heterogeneity in non-domestic buildings at national stock level and determine how stock level physical form variations impact thermal loading. Non-domestic building form and surrounding topography are considered to be influenced by building control laws and building regulations. Control documentation often stipulates guidelines and best practice - hence building heterogeneity. As such, historical regulations were used to develop basic probability distributions of potential physical characteristics associated with non-domestic buildings. Stating that form and site characteristics are randomly determined from the defined probability distributions, a stochastic modelling process to represent thermal variation in a building stock was developed. This provided potential for categorising building thermal performance by period of construction. The model utilised a dynamic simulation model as a 'black-box' for predicting base thermal loads. 2009-12-09 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/10895/1/Thesis.pdf Smith, Stefan Thor (2009) Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. PhD thesis, University of Nottingham. thermal loads architecture building |
| spellingShingle | thermal loads architecture building Smith, Stefan Thor Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| title | Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| title_full | Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| title_fullStr | Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| title_full_unstemmed | Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| title_short | Modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| title_sort | modelling thermal loads for a non-domestic building stock: associating a priori probability with building form and construction - using building control laws and regulations. |
| topic | thermal loads architecture building |
| url | https://eprints.nottingham.ac.uk/10895/ |