Energy and urban built form: An empirical and statistical approach

Energy and urban built form: An empirical and statistical approach. Steadman, P., Hamilton, I., & Evans, S. Building Research and Information, 2014.
doi abstract bibtex

The geometrical forms of buildings have important effects on their use of energy.These relationships are explored at the scale of the entire non-domestic building stock of London. A three-dimensional digital model of the city is used to make a series of geometrical measures: building volume, exposed surface area (walls plus roof) and plan depth. These are compared with figures for the consumption of gas and electricity published by the UK Department of Energy and Climate Change (DECC). The comparisons are made at different levels of spatial aggregation, from boroughs to census districts. Strong correlations are demonstrated between exposed surface area and both gas and electricity use. The analysis also provides some evidence of a sharp increase in electricity use in districts with buildings whose depth in plan exceeds 14 m (in which air-conditioning and permanent artificial lighting are typically required). A multiple regression model is used to measure the contribution of these effects to total energy use, as compared with floor area, activities and number of employees. © 2013 Taylor & Francis.

@article{steadman_energy_2014,
	title = {Energy and urban built form: {An} empirical and statistical approach},
	doi = {10.1080/09613218.2013.808140},
	abstract = {The geometrical forms of buildings have important effects on their use of energy.These relationships are explored at the scale of the entire non-domestic building stock of London. A three-dimensional digital model of the city is used to make a series of geometrical measures: building volume, exposed surface area (walls plus roof) and plan depth. These are compared with figures for the consumption of gas and electricity published by the UK Department of Energy and Climate Change (DECC). The comparisons are made at different levels of spatial aggregation, from boroughs to census districts. Strong correlations are demonstrated between exposed surface area and both gas and electricity use. The analysis also provides some evidence of a sharp increase in electricity use in districts with buildings whose depth in plan exceeds 14 m (in which air-conditioning and permanent artificial lighting are typically required). A multiple regression model is used to measure the contribution of these effects to total energy use, as compared with floor area, activities and number of employees. © 2013 Taylor \& Francis.},
	journal = {Building Research and Information},
	author = {Steadman, Philip and Hamilton, Ian and Evans, Stephen},
	year = {2014},
	keywords = {Building form, Building geometry, Building stock, Electricity use, Energy demand, Exposed surface area, Gas use, Non-domestic, Plan depth},
}

Downloads: 0

{"_id":"jHcr9WzJ6HBLxhwH3","bibbaseid":"steadman-hamilton-evans-energyandurbanbuiltformanempiricalandstatisticalapproach-2014","author_short":["Steadman, P.","Hamilton, I.","Evans, S."],"bibdata":{"bibtype":"article","type":"article","title":"Energy and urban built form: An empirical and statistical approach","doi":"10.1080/09613218.2013.808140","abstract":"The geometrical forms of buildings have important effects on their use of energy.These relationships are explored at the scale of the entire non-domestic building stock of London. A three-dimensional digital model of the city is used to make a series of geometrical measures: building volume, exposed surface area (walls plus roof) and plan depth. These are compared with figures for the consumption of gas and electricity published by the UK Department of Energy and Climate Change (DECC). The comparisons are made at different levels of spatial aggregation, from boroughs to census districts. Strong correlations are demonstrated between exposed surface area and both gas and electricity use. The analysis also provides some evidence of a sharp increase in electricity use in districts with buildings whose depth in plan exceeds 14 m (in which air-conditioning and permanent artificial lighting are typically required). A multiple regression model is used to measure the contribution of these effects to total energy use, as compared with floor area, activities and number of employees. © 2013 Taylor & Francis.","journal":"Building Research and Information","author":[{"propositions":[],"lastnames":["Steadman"],"firstnames":["Philip"],"suffixes":[]},{"propositions":[],"lastnames":["Hamilton"],"firstnames":["Ian"],"suffixes":[]},{"propositions":[],"lastnames":["Evans"],"firstnames":["Stephen"],"suffixes":[]}],"year":"2014","keywords":"Building form, Building geometry, Building stock, Electricity use, Energy demand, Exposed surface area, Gas use, Non-domestic, Plan depth","bibtex":"@article{steadman_energy_2014,\n\ttitle = {Energy and urban built form: {An} empirical and statistical approach},\n\tdoi = {10.1080/09613218.2013.808140},\n\tabstract = {The geometrical forms of buildings have important effects on their use of energy.These relationships are explored at the scale of the entire non-domestic building stock of London. A three-dimensional digital model of the city is used to make a series of geometrical measures: building volume, exposed surface area (walls plus roof) and plan depth. These are compared with figures for the consumption of gas and electricity published by the UK Department of Energy and Climate Change (DECC). The comparisons are made at different levels of spatial aggregation, from boroughs to census districts. Strong correlations are demonstrated between exposed surface area and both gas and electricity use. The analysis also provides some evidence of a sharp increase in electricity use in districts with buildings whose depth in plan exceeds 14 m (in which air-conditioning and permanent artificial lighting are typically required). A multiple regression model is used to measure the contribution of these effects to total energy use, as compared with floor area, activities and number of employees. © 2013 Taylor \\& Francis.},\n\tjournal = {Building Research and Information},\n\tauthor = {Steadman, Philip and Hamilton, Ian and Evans, Stephen},\n\tyear = {2014},\n\tkeywords = {Building form, Building geometry, Building stock, Electricity use, Energy demand, Exposed surface area, Gas use, Non-domestic, Plan depth},\n}\n\n","author_short":["Steadman, P.","Hamilton, I.","Evans, S."],"key":"steadman_energy_2014","id":"steadman_energy_2014","bibbaseid":"steadman-hamilton-evans-energyandurbanbuiltformanempiricalandstatisticalapproach-2014","role":"author","urls":{},"keyword":["Building form","Building geometry","Building stock","Electricity use","Energy demand","Exposed surface area","Gas use","Non-domestic","Plan depth"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/dgopinath","dataSources":["vRECxNMDMX9qKhX8Q"],"keywords":["building form","building geometry","building stock","electricity use","energy demand","exposed surface area","gas use","non-domestic","plan depth"],"search_terms":["energy","urban","built","form","empirical","statistical","approach","steadman","hamilton","evans"],"title":"Energy and urban built form: An empirical and statistical approach","year":2014}