An agent-based model for energy service companies

Date

2015-04-01T00:00:00Z

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Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science B.V., Amsterdam.

Department

Type

Article

ISSN

0196-8904

Format

Citation

Marguerite Robinson, Liz Varga and Peter Allen (2015). An agent-based model for energy service companies. Energy Conversion and Management, Volume 94, April 2015, pp233-244

Abstract

The residential housing sector is a major consumer of energy accounting for approximately one third of carbon emissions in the United Kingdom. Achieving a sustainable, low-carbon infrastructure necessitates a reduced and more efficient use of domestic energy supplies. Energy service companies offer an alternative to traditional providers, which supply a single utility product to satisfy the unconstrained demand of end users, and have been identified as a potentially important actor in sustainable future economies. An agent-based model is developed to examine the potential of energy service companies to contribute to the large scale upgrading of household energy efficiency, which would ultimately lead to a more sustainable and secure energy infrastructure. The migration of households towards energy service companies is described by an attractiveness array, through which potential customers can evaluate the future benefits, in terms of household energy costs, of changing provider. It is shown that self-financing is a limiting factor to the widespread upgrading of residential energy efficiency. Greater reductions in household energy costs could be achieved by committing to longer term contracts, allowing upgrade costs to be distributed over greater time intervals. A steadily increasing cost of future energy usage lends an element of stability to the market, with energy service companies displaying the ability to retain customers on contract expiration. The model highlights how a greater focus on the provision of energy services, as opposed to consumable products, presents a viable approach to reducing future energy costs and usage.

Description

Software Description

Software Language

Github

Keywords

Agent-based, Complex systems, Domestic technology, Energy efficiency, Energy services, Utilities, Energy infrastructures, Energy service company, Household energy efficiencies, Residential energy.

DOI

Rights

CC:BY 4.0 International -- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

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