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This paper reports on an Agent-Based Model. The purpose of developing this model is to describe 'the uptake of low carbon and energy e icient technologies and practices by households and under di erent 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 di erentiates this model is that it also represents information agents that provide recommendations and sales agents that proactively sell energy e icient 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 e ective to incentivise sales agents to promote solar hot water systems, or whether it is more e ective 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.
Moglia et al. (Mon,) studied this question.