Yuanyuan Wei , Song He , Ping Huang , Yuechen Duan , Bart Julien Dewancker , Luyao Zhou
{"title":"A calibration procedure for simulation models of rural residential buildings using monthly energy bills: A case study in Zhejiang, China","authors":"Yuanyuan Wei , Song He , Ping Huang , Yuechen Duan , Bart Julien Dewancker , Luyao Zhou","doi":"10.1016/j.csite.2025.106463","DOIUrl":null,"url":null,"abstract":"<div><div>Building energy simulation (BES) is crucial for planning energy-efficient retrofits in rural Chinese residences, yet its accuracy is often limited by insufficient calibration data. This study develops a practical and efficient model calibration procedure that combines monthly electricity bills with a multi-objective genetic algorithm to improve BES reliability under low-data conditions. A case study on a typical rural dwelling in Zhejiang Province was conducted. Nine key parameters—relating to envelope performance, equipment efficiency, and heating schedules—were selected to capture major modeling uncertainties. Calibration followed ASHRAE Guideline 14, targeting a Normalized Mean Bias Error (NMBE) of ≤5 % and a Coefficient of Variation of the Root Mean Square Error (CV(RMSE)) of ≤15 %. Results showed that NMBE was reduced from 12.775 % to 0.108 %, and CV(RMSE) from 21.294 % to 11.054 %, confirming the procedure's effectiveness. The proposed approach enables accurate BES calibration using low-resolution data, bridging the gap between limited field data and the need for reliable energy modeling. It offers a scalable, cost-effective solution to support large-scale retrofit planning in rural settings.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"73 ","pages":"Article 106463"},"PeriodicalIF":6.4000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Case Studies in Thermal Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214157X25007233","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"THERMODYNAMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Building energy simulation (BES) is crucial for planning energy-efficient retrofits in rural Chinese residences, yet its accuracy is often limited by insufficient calibration data. This study develops a practical and efficient model calibration procedure that combines monthly electricity bills with a multi-objective genetic algorithm to improve BES reliability under low-data conditions. A case study on a typical rural dwelling in Zhejiang Province was conducted. Nine key parameters—relating to envelope performance, equipment efficiency, and heating schedules—were selected to capture major modeling uncertainties. Calibration followed ASHRAE Guideline 14, targeting a Normalized Mean Bias Error (NMBE) of ≤5 % and a Coefficient of Variation of the Root Mean Square Error (CV(RMSE)) of ≤15 %. Results showed that NMBE was reduced from 12.775 % to 0.108 %, and CV(RMSE) from 21.294 % to 11.054 %, confirming the procedure's effectiveness. The proposed approach enables accurate BES calibration using low-resolution data, bridging the gap between limited field data and the need for reliable energy modeling. It offers a scalable, cost-effective solution to support large-scale retrofit planning in rural settings.
期刊介绍:
Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.