Journal article

A multi-sectoral approach to modelling community energy demand of the built environment

28 Jun 2019
Description

Highlights

Energy demand focused conceptual modelling framework to tackle the Energy Revolution.

Evolution of building-user behaviour is given specific attention in scenario planning.

Residential heat demand is evaluated using a hybrid dynamic simulation/stock model.

Electricity demand is synthesised using a statistical Hidden-Markov Model.

Review across three fields is provided: energy system, stock and building modelling.

Abstract

This paper examines the major challenges associated with evaluating energy demand in the residential building sector in an integrated energy system modelling environment. Three established modelling fields are examined to generate a framework for assessing the impact of energy policy: energy system models, building stock models and dynamic building simulation. A set of profound challenges emerge when attempting to integrate such models, due to distinct differences in their intended applications, operational scales, formulations and computational implementations.

Detailed discussions are provided on the integration of temporally refined energy demand, based on thermodynamic processes and socio-technical effects which may stem from new policy. A detailed framework is discussed for generating aggregate residential demands, in terms of space heating demand, domestic hot water demand, and lighting, appliance and consumer electronics demand. The framework incorporates a pathway for interpreting the effects of changes in household behaviour resulting from prospective policy measures. When long-term planning exercises are carried out using this framework, the cyclic effects between behavioural change and policy implementation are also considered. This work focused specifically on the United Kingdom energy system, however parallels can be drawn with other countries, in particular those with a mature privatised system, dominated by space heating concerns.

Publication Details
Identifiers: 
DOI: 
10.1016/j.enpol.2019.06.041
Volume: 
132
Pagination: 
865-875
Duration: 
September 2019
Access Rights Type: 
Open
Language: 
English
License Type: 
CC BY
Published year only: 
2019
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