Effect of Policy Implementation on Energy Retrofit Behavior and Energy Consumption in a Simulated Neighborhood
Lars Even Egner () and
Christian Klöckner ()
Additional contact information
Lars Even Egner: https://www.ntnu.no/ansatte/lars.e.egner
Christian Klöckner: http://www.ntnu.no/ansatte/klockner
Journal of Artificial Societies and Social Simulation, 2022, vol. 25, issue 4, 7
Abstract:
As the heating of private households represents 16.5% of all EU final energy consumption, household energy retrofitting is a central part of the solution for the ongoing climate crisis. However, ABM models have not sufficiently been explored as a tool for designing policies for reducing household heating energy consumption through energy retrofitting. This paper presents the Household Energy Retrofit Behavior (HERB) model, which simulated energy retrofitting in a neighbourhood. The HERB model feeds a decision-making process based on existing behavioural household retrofit research with survey data and assesses the impact of different policies on cumulative energy need over 100 years. The model finds that the current Norwegian main retrofit subsidies have a positive effect on energy use. Furthermore, although motivating households to retrofit to a specific standard has no positive impact, motivating households close to retrofitting has a positive effect. Finally, lowering the threshold for receiving subsidies has a positive impact.
Keywords: Energy Efficiency; Thermal Insulation; Policy Assessment; Decision-Making Process (search for similar items in EconPapers)
Date: 2022-10-31
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.jasss.org/25/4/7/7.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2021-103-3
Access Statistics for this article
More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().