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Modelling energy-efficient renovation adoption and diffusion process for households: a review and a way forward
The residential sector is one of the major sources of energy consumption, with a high energy conservation potential. Energy consumption reduction could be achieved through Energy-Efficient Renovation (EER). This paper presents a systematic review of EER adoption influences and EER diffusion modelling. The review starts with an overview of EER adoption motivators, barriers, and policies, then introduces the adoption influences, including socio-demographics, housing factors, social influences, and environmental attitudes. The significances of these influences vary across different studies, and studies focussing on influences cannot provide insights on the number of resources and efforts needed to overcome the barriers. EER modelling of adoption decision-making and energy efficiency diffusion was introduced, focusing on Agent-Based Modelling (ABM). The most investigated technology diffusion is Photo-Voltaic (PV) panels. Most ABM models were developed based on behaviour theories. These models are used for evaluating policy effectiveness. Most policies analyses among the reviewed papers are limited, neglecting the influences of housing situations and building codes and standards. Besides, few models are developed based on real-world data. It is concluded that agent-based models in EER are needed to include a broad range of technologies or incorporate existing empirical EER studies or empirical adoption data for reliable simulation results.
Modelling energy-efficient renovation adoption and diffusion process for households: a review and a way forward
The residential sector is one of the major sources of energy consumption, with a high energy conservation potential. Energy consumption reduction could be achieved through Energy-Efficient Renovation (EER). This paper presents a systematic review of EER adoption influences and EER diffusion modelling. The review starts with an overview of EER adoption motivators, barriers, and policies, then introduces the adoption influences, including socio-demographics, housing factors, social influences, and environmental attitudes. The significances of these influences vary across different studies, and studies focussing on influences cannot provide insights on the number of resources and efforts needed to overcome the barriers. EER modelling of adoption decision-making and energy efficiency diffusion was introduced, focusing on Agent-Based Modelling (ABM). The most investigated technology diffusion is Photo-Voltaic (PV) panels. Most ABM models were developed based on behaviour theories. These models are used for evaluating policy effectiveness. Most policies analyses among the reviewed papers are limited, neglecting the influences of housing situations and building codes and standards. Besides, few models are developed based on real-world data. It is concluded that agent-based models in EER are needed to include a broad range of technologies or incorporate existing empirical EER studies or empirical adoption data for reliable simulation results.
Modelling energy-efficient renovation adoption and diffusion process for households: a review and a way forward
Du, Hua (author) / Han, Qi (author) / de Vries, Bauke (author)
2022-02-01
Du , H , Han , Q & de Vries , B 2022 , ' Modelling energy-efficient renovation adoption and diffusion process for households: a review and a way forward ' , Sustainable Cities and Society , vol. 77 , 103560 . https://doi.org/10.1016/j.scs.2021.103560
Article (Journal)
Electronic Resource
English
DDC:
690
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