Print Email Facebook Twitter Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies Title Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies Author Hesselink, Laurens X.W. (Student TU Delft) Chappin, E.J.L. (TU Delft Energie and Industrie) Date 2019 Abstract Increasing the adoption of energy efficient technologies by households is one of the formulated strategies to reduce greenhouse gas emissions. This paper presents a systematic review of agent-based modelling studies on the adoption of energy efficiency by households. It starts with an overview of barriers for adoption, of energy efficiency policies, energy efficiency model types. Afterwards, an analysis is given of technologies modelled, policies simulated, decision-making theories included, and the use of empirical data. An overview is presented of how technologies, barriers and policies relate in the models. Furthermore, the core policy recommendations from existing models are presented. The analysis shows that the reviewed studies predominantly focus on a subset of barriers – a lack of capital, a lack of information, high upfront cost, ignorance, inertia and other priorities. So far, agent-based models have focused on how subsidies, technology bans and information campaigns influence energy efficiency adoption. There is ample opportunity for future agent-based modelling research on energy efficiency adoption policy by studying other residential technologies, other barriers, and other policies that fit the agent-based modelling paradigm well. Subject Adoption barriersAgent-based modelsEnergy efficiency policyEnergy efficient technologyLiterature review To reference this document use: http://resolver.tudelft.nl/uuid:440c497e-716d-4fe2-a2cc-218e170a99d5 DOI https://doi.org/10.1016/j.rser.2018.09.031 ISSN 1364-0321 Source Renewable & Sustainable Energy Reviews, 99, 29-41 Part of collection Institutional Repository Document type journal article Rights © 2019 Laurens X.W. Hesselink, E.J.L. Chappin Files PDF 1_s2.0_S1364032118306737_main.pdf 1.64 MB Close viewer /islandora/object/uuid:440c497e-716d-4fe2-a2cc-218e170a99d5/datastream/OBJ/view