An Agent-Based Model of Residential Energy Efficiency Adoption

• Published in: Journal of artificial societies and social simulation Vol. 21; no. 3; p. 3
• Main Authors: Moglia, Magnus, Podkalicka, Aneta, McGregor, James
• Format: Journal Article
• Language: English
• Published: Guildford Department of Sociology, University of Surrey 30-06-2018
• Subjects: Agents; Conceptual structure; Data collection; Decision making; Decision making models; Energy; Energy efficiency; Financial incentives; Hot water; Households; Housework; Sales; Social networks; Uptake; Vehicles; Water supply
• ISSN: 1460-7425; 1460-7425
• DOI: 10.18564/jasss.3729

This paper reports on an Agent-Based Model. The purpose of developing this model is to describe ‘the uptake of low carbon and energy efficient technologies and practices by households and under different interventions’. There is a particular focus on modelling non-financial incentives as well as the influence of social networks as well as the decision making by multiple types of agents in interaction, i.e. recommending agents and sales agents, not just households. The decision making model for householder agents is inspired by the Consumat approach, as well as some of those recently applied to electric vehicles. A feature that differentiates this model is that it also represents information agents that provide recommendations and sales agents that proactively sell energy efficient products. By applying the model to a number of scenarios with policies aimed at increasing the adoption of solar hot water systems, a range of questions are explored, including whether it is more effective to incentivise sales agents to promote solar hot water systems, or whether it is more effective to provide a subsidy directly to households; or in fact whether it is better to work with plumbers so that they can promote these systems. The resultant model should be viewed as a conceptual structure with a theoretical and empirical grounding, but which requires further data collection for rigorous analysis of policy options.