Renewable energy adoption in urban residential communities in China: An agent-based model for assessing intervention impact

IF 7.1 1区地球科学 Q1 ENVIRONMENTAL STUDIES

Computers Environment and Urban Systems Pub Date : 2025-06-19 DOI:10.1016/j.compenvurbsys.2025.102323

Hua Du , Qi Han , Bauke de Vries , Jun Sun

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引用次数: 0

Abstract

Designing effective policy interventions is an essential instrument to promote the widespread adoption of photovoltaic (PV) systems in the residential sector. Designing such policies and evaluating their effectiveness requires an approach that allows for simulation in the complex system setting of the built environment. In this study we applied Agent-Based Modelling to evaluate the effectiveness of two policies (i.e., information campaign and demonstration projects) and two community factors (i.e., community size and required agreement rate) to promote the adoption of residential community PV diffusion in Chinese cities. This model is developed based on the empirical results of a previous discrete choice experiment. The results show that lowering the required agreement rate for community decisions contributes to an increase in PV adoption, while community size has little impact on adoption diffusion. We found that combining the two policy interventions or combining them with a community factor (i.e., lowering the required agreement rate) can effectively promote the adoption of community PV. Policy intervention implications and suggestions are presented.

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中国城市居民社区采用可再生能源：基于主体的干预影响评估模型

设计有效的政策干预措施是促进光伏系统在住宅部门广泛采用的重要手段。设计这样的政策和评估其有效性需要一种在建筑环境的复杂系统设置中进行模拟的方法。在本研究中，我们运用基于agent的模型来评估两项政策（即信息宣传活动和示范项目）和两个社区因素（即社区规模和所需的协议率）对促进中国城市采用住宅社区光伏扩散的有效性。这个模型是基于先前的离散选择实验的经验结果发展起来的。结果表明，降低社区决策的共识率有助于提高光伏采用率，而社区规模对采用扩散的影响不大。我们发现，将两种政策干预相结合或将其与社区因素相结合（即降低所需的同意率）可以有效促进社区光伏的采用。提出了政策干预的影响和建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers Environment and Urban Systems Multiple-

CiteScore

13.30

自引率

7.40%

发文量

111

审稿时长

32 days

期刊介绍： Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.