评估智能技术干预下的能源指导对缓解能源贫困的影响。

Assessing the impact of energy coaching with smart technology interventions to alleviate energy poverty.

作者信息

Llewellyn Joseph, Venverloo Titus, Duarte Fabio, Ratti Carlo, Katzeff Cecilia, Johansson Fredrik, Pargman Daniel

机构信息

Sustainable Development, Environmental Science and Engineering Department, KTH Royal Institute of Technology, Teknikringen 10b, Stockholm, 114 28, Sweden.

Senseable City Lab, Massachusetts Institute of Technology, 9-216 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.

出版信息

Sci Rep. 2025 Jan 13;15(1):969. doi: 10.1038/s41598-024-80773-9.

DOI:10.1038/s41598-024-80773-9

PMID:39805889

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11730312/

Abstract

Energy poverty affects 550,000 homes in the Netherlands yet policy interventions to alleviate this issue are rare. Therefore, we test two energy coaching interventions in Amsterdam: a static information group (n = 67) which received energy efficient products and one energy-use report, and a smart information group (n = 50), which also had a display providing real-time feedback on energy-use. Results across both groups, show a 75% success rate for alleviating energy poverty. On average homes reduced monthly electricity consumption by 62 kWh (33%), gas by 41 m (42%), bills by €104 (53%) and percentage of income spent on energy from 10.1% to 5.3%.

摘要

能源贫困影响着荷兰55万户家庭，但缓解这一问题的政策干预措施却很少见。因此，我们在阿姆斯特丹测试了两种能源指导干预措施：一个静态信息组（n = 67），该组收到了节能产品和一份能源使用报告；还有一个智能信息组（n = 50），该组还有一个能提供能源使用实时反馈的显示屏。两组的结果显示，缓解能源贫困的成功率为75%。平均而言，家庭每月用电量减少62千瓦时（33%），天然气用量减少41立方米（42%），账单减少104欧元（53%），能源支出占收入的百分比从10.1%降至5.3%。