The EDEM methodology for housing upgrade analysis, carbon and energy labelling and national policy development

Joseph Andrew Clarke; Sabeeta Ghauri; Cameron Johnstone; Jae Min Kim; Paul Gerard Tuohy

The EDEM methodology for housing upgrade analysis, carbon and energy labelling and national policy development

Joseph Andrew Clarke, Sabeeta Ghauri, Cameron Johnstone, Jae Min Kim, Paul Gerard Tuohy

Mechanical And Aerospace Engineering

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Abstract

The ESRU Domestic Energy Model (EDEM) was developed to assist policy makers in analysis of options for improving carbon and energy performance of housing across a range of possible future technologies, behaviours and environmental factors. EDEM was formulated into an easy to use tool, built on results of detailed simulation models aligned with national housing survey data. From pragmatic inputs, EDEM can determine energy and carbon performance at any scale, from individual dwelling to national stock. EDEM was used to analyse potential upgrades including renewable energy systems and also to rate energy performance of dwellings as required by EU Directive (EU, 2002). This paper describes EDEM methodology, structure and operation then presents findings from application. While initial EDEM projects are for Scottish housing the methodology is applicable to other countries.

Original language	English
Number of pages	8
Publication status	Published - 27 Jul 2009
Event	11th International IBPSA Conference - Glasgow, Scotland Duration: 27 Jul 2009 → 30 Jul 2009

Conference

Conference	11th International IBPSA Conference
City	Glasgow, Scotland
Period	27/07/09 → 30/07/09

Keywords

EDEM methodology
DME
domestic energy model
carbon
energy
performance
housing upgrade analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Clarke JA Johnstone CM strathprints The EDEM methodology for housing upgrade analysis carbon and energy labelling and national policy dev May 08Submitted manuscript, 251 KB

Cite this

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title = "The EDEM methodology for housing upgrade analysis, carbon and energy labelling and national policy development",

abstract = "The ESRU Domestic Energy Model (EDEM) was developed to assist policy makers in analysis of options for improving carbon and energy performance of housing across a range of possible future technologies, behaviours and environmental factors. EDEM was formulated into an easy to use tool, built on results of detailed simulation models aligned with national housing survey data. From pragmatic inputs, EDEM can determine energy and carbon performance at any scale, from individual dwelling to national stock. EDEM was used to analyse potential upgrades including renewable energy systems and also to rate energy performance of dwellings as required by EU Directive (EU, 2002). This paper describes EDEM methodology, structure and operation then presents findings from application. While initial EDEM projects are for Scottish housing the methodology is applicable to other countries.",

keywords = "EDEM methodology, DME, domestic energy model, carbon, energy, performance, housing upgrade analysis",

author = "Clarke, {Joseph Andrew} and Sabeeta Ghauri and Cameron Johnstone and Kim, {Jae Min} and Tuohy, {Paul Gerard}",

note = "Also presented at: eSim Conference, 20-23 May 2008, Quebec, Canada. (This is a variant record); 11th International IBPSA Conference ; Conference date: 27-07-2009 Through 30-07-2009",

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T1 - The EDEM methodology for housing upgrade analysis, carbon and energy labelling and national policy development

AU - Clarke, Joseph Andrew

AU - Ghauri, Sabeeta

AU - Johnstone, Cameron

AU - Kim, Jae Min

AU - Tuohy, Paul Gerard

N1 - Also presented at: eSim Conference, 20-23 May 2008, Quebec, Canada. (This is a variant record)

PY - 2009/7/27

Y1 - 2009/7/27

N2 - The ESRU Domestic Energy Model (EDEM) was developed to assist policy makers in analysis of options for improving carbon and energy performance of housing across a range of possible future technologies, behaviours and environmental factors. EDEM was formulated into an easy to use tool, built on results of detailed simulation models aligned with national housing survey data. From pragmatic inputs, EDEM can determine energy and carbon performance at any scale, from individual dwelling to national stock. EDEM was used to analyse potential upgrades including renewable energy systems and also to rate energy performance of dwellings as required by EU Directive (EU, 2002). This paper describes EDEM methodology, structure and operation then presents findings from application. While initial EDEM projects are for Scottish housing the methodology is applicable to other countries.

AB - The ESRU Domestic Energy Model (EDEM) was developed to assist policy makers in analysis of options for improving carbon and energy performance of housing across a range of possible future technologies, behaviours and environmental factors. EDEM was formulated into an easy to use tool, built on results of detailed simulation models aligned with national housing survey data. From pragmatic inputs, EDEM can determine energy and carbon performance at any scale, from individual dwelling to national stock. EDEM was used to analyse potential upgrades including renewable energy systems and also to rate energy performance of dwellings as required by EU Directive (EU, 2002). This paper describes EDEM methodology, structure and operation then presents findings from application. While initial EDEM projects are for Scottish housing the methodology is applicable to other countries.

KW - EDEM methodology

KW - DME

KW - domestic energy model

KW - carbon

KW - energy

KW - performance

KW - housing upgrade analysis

UR - http://www.ibpsa.org/proceedings/BS2009/BS09_2070_2076.pdf

UR - http://strathprints.strath.ac.uk/16468/

UR - http://www.sesg.strath.ac.uk/Downloads/EDEM%20eSIM2008%20paper.pdf

M3 - Paper

T2 - 11th International IBPSA Conference

Y2 - 27 July 2009 through 30 July 2009

ER -

The EDEM methodology for housing upgrade analysis, carbon and energy labelling and national policy development

Abstract

Conference

Keywords

UN SDGs

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