Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance

This study provides a reference for estimating the building envelope thermal performance at the initial stage of design for nearly zero-energy buildings in different climate zones. A simplified model of heat load prediction, which combines the quasi-steady-state thermal balance calculation procedure...

全面介绍

书目详细资料
Main Authors: Ziyang Hao, Jingchao Xie, Xiaojing Zhang, Jiaping Liu
格式: 文件
语言:English
出版: MDPI AG 2023-04-01
丛编:Buildings
主题:
在线阅读:https://www.mdpi.com/2075-5309/13/4/1076
_version_ 1827745649386323968
author Ziyang Hao
Jingchao Xie
Xiaojing Zhang
Jiaping Liu
author_facet Ziyang Hao
Jingchao Xie
Xiaojing Zhang
Jiaping Liu
author_sort Ziyang Hao
collection DOAJ
description This study provides a reference for estimating the building envelope thermal performance at the initial stage of design for nearly zero-energy buildings in different climate zones. A simplified model of heat load prediction, which combines the quasi-steady-state thermal balance calculation procedure in ISO 52016 and the variable-base degree-days method, was proposed. Therefore, a building energy performance evaluation tool BPT V1.0 was developed. Subsequently, the simplified model was validated through comparative analysis with the Building Energy Simulation Test (BESTEST) standard procedure. To conduct a feasibility analysis of the development tool, case studies were performed on the performance evaluation of building envelopes of residential and office buildings in different climate zones in China. Compared to the simulation results from EnergyPlus, the deviation of heat load calculated by BPT V1.0 was within 10%, which further verifies the applicability of the tool under different climatic conditions. Annual heat load under different thermal performance building envelopes was calculated through BPT V1.0. The building energy efficiency improvement rates were found to range from 30 to 60% in nearly zero-energy buildings in different climate zones in China. The study results can provide a reference for energy managers and a basis for estimating the building energy efficiency performance with different envelope thermal properties in the region.
first_indexed 2024-03-11T05:10:31Z
format Article
id doaj.art-d9b5db0718c64fe1a64d42b4f5193a50
institution Directory Open Access Journal
issn 2075-5309
language English
last_indexed 2024-03-11T05:10:31Z
publishDate 2023-04-01
publisher MDPI AG
record_format Article
series Buildings
spelling doaj.art-d9b5db0718c64fe1a64d42b4f5193a502023-11-17T18:37:09ZengMDPI AGBuildings2075-53092023-04-01134107610.3390/buildings13041076Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal PerformanceZiyang Hao0Jingchao Xie1Xiaojing Zhang2Jiaping Liu3Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, ChinaKey Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, ChinaKey Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, ChinaKey Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, ChinaThis study provides a reference for estimating the building envelope thermal performance at the initial stage of design for nearly zero-energy buildings in different climate zones. A simplified model of heat load prediction, which combines the quasi-steady-state thermal balance calculation procedure in ISO 52016 and the variable-base degree-days method, was proposed. Therefore, a building energy performance evaluation tool BPT V1.0 was developed. Subsequently, the simplified model was validated through comparative analysis with the Building Energy Simulation Test (BESTEST) standard procedure. To conduct a feasibility analysis of the development tool, case studies were performed on the performance evaluation of building envelopes of residential and office buildings in different climate zones in China. Compared to the simulation results from EnergyPlus, the deviation of heat load calculated by BPT V1.0 was within 10%, which further verifies the applicability of the tool under different climatic conditions. Annual heat load under different thermal performance building envelopes was calculated through BPT V1.0. The building energy efficiency improvement rates were found to range from 30 to 60% in nearly zero-energy buildings in different climate zones in China. The study results can provide a reference for energy managers and a basis for estimating the building energy efficiency performance with different envelope thermal properties in the region.https://www.mdpi.com/2075-5309/13/4/1076heat load predictionbalance point temperaturequasi-steady-state methodvariable-base degree-dayBESTEST
spellingShingle Ziyang Hao
Jingchao Xie
Xiaojing Zhang
Jiaping Liu
Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance
Buildings
heat load prediction
balance point temperature
quasi-steady-state method
variable-base degree-day
BESTEST
title Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance
title_full Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance
title_fullStr Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance
title_full_unstemmed Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance
title_short Simplified Model of Heat Load Prediction and Its Application in Estimation of Building Envelope Thermal Performance
title_sort simplified model of heat load prediction and its application in estimation of building envelope thermal performance
topic heat load prediction
balance point temperature
quasi-steady-state method
variable-base degree-day
BESTEST
url https://www.mdpi.com/2075-5309/13/4/1076
work_keys_str_mv AT ziyanghao simplifiedmodelofheatloadpredictionanditsapplicationinestimationofbuildingenvelopethermalperformance
AT jingchaoxie simplifiedmodelofheatloadpredictionanditsapplicationinestimationofbuildingenvelopethermalperformance
AT xiaojingzhang simplifiedmodelofheatloadpredictionanditsapplicationinestimationofbuildingenvelopethermalperformance
AT jiapingliu simplifiedmodelofheatloadpredictionanditsapplicationinestimationofbuildingenvelopethermalperformance