Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region

Xinjiang uygur autonomous region in China experiences low winter temperatures and strong solar radiation. Actual test results showed that the indoor temperature of a conventional prefabricated house dropped to −10.02 °C at night, resulting in high heating energy consumption of 80.08 kWh. After insul...

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Main Authors: Juan Zhao, Rui Liu, Botao Zhou, Yunchao Fu, Yongcai Li, Wenjie Zhang
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25003429
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author Juan Zhao
Rui Liu
Botao Zhou
Yunchao Fu
Yongcai Li
Wenjie Zhang
author_facet Juan Zhao
Rui Liu
Botao Zhou
Yunchao Fu
Yongcai Li
Wenjie Zhang
author_sort Juan Zhao
collection DOAJ
description Xinjiang uygur autonomous region in China experiences low winter temperatures and strong solar radiation. Actual test results showed that the indoor temperature of a conventional prefabricated house dropped to −10.02 °C at night, resulting in high heating energy consumption of 80.08 kWh. After insulation transformation, the minimum temperature improved by 4.94 °C and heating energy consumption was reduced by 46.7 %. TRNSYS was utilized to develop the prefabricated house model and the genetic algorithm coupled with MATLAB is employed to perform the optimization calculations by considering the thicknesses of thermal insulation materials on external walls and roofs as variables for optimization. The results indicate that the GA-optimized scheme suggests 300 mm of roof insulation material, 360 mm of floor insulation material, and 110 mm for the north wall as well as 100 mm each for the south, east, and west external walls. Compared to original scheme1, it effectively achieves a reduction in the annual cost value to 6037.09CNY, representing a decrease of 489.853CNY, along with an energy consumption of 9428.36 kWh, reflectiong a reduction by 13.48 %.This study provides experimental data and passive energy-saving optimization solutions for improving thermal performance in retrofitting prefabricated houses.
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institution Kabale University
issn 2214-157X
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publishDate 2025-06-01
publisher Elsevier
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series Case Studies in Thermal Engineering
spelling doaj-art-7d8f7bb9e25d4dc08c408996655aa70e2025-08-20T03:52:28ZengElsevierCase Studies in Thermal Engineering2214-157X2025-06-017010608210.1016/j.csite.2025.106082Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang regionJuan Zhao0Rui Liu1Botao Zhou2Yunchao Fu3Yongcai Li4Wenjie Zhang5School of Urban Planning and Municipal Engineering, Xi'an Polytechnic University, Xi ‘an, 710048, ChinaSchool of Urban Planning and Municipal Engineering, Xi'an Polytechnic University, Xi ‘an, 710048, ChinaSchool of Urban Planning and Municipal Engineering, Xi'an Polytechnic University, Xi ‘an, 710048, ChinaSichuan Provincial Architectural Design and Research Institute Co., Ltd, 610093, China; Corresponding author.School of Civil Engineering, Chongqing University, Chongqing, 400045, ChinaSchool of Urban Planning and Municipal Engineering, Xi'an Polytechnic University, Xi ‘an, 710048, ChinaXinjiang uygur autonomous region in China experiences low winter temperatures and strong solar radiation. Actual test results showed that the indoor temperature of a conventional prefabricated house dropped to −10.02 °C at night, resulting in high heating energy consumption of 80.08 kWh. After insulation transformation, the minimum temperature improved by 4.94 °C and heating energy consumption was reduced by 46.7 %. TRNSYS was utilized to develop the prefabricated house model and the genetic algorithm coupled with MATLAB is employed to perform the optimization calculations by considering the thicknesses of thermal insulation materials on external walls and roofs as variables for optimization. The results indicate that the GA-optimized scheme suggests 300 mm of roof insulation material, 360 mm of floor insulation material, and 110 mm for the north wall as well as 100 mm each for the south, east, and west external walls. Compared to original scheme1, it effectively achieves a reduction in the annual cost value to 6037.09CNY, representing a decrease of 489.853CNY, along with an energy consumption of 9428.36 kWh, reflectiong a reduction by 13.48 %.This study provides experimental data and passive energy-saving optimization solutions for improving thermal performance in retrofitting prefabricated houses.http://www.sciencedirect.com/science/article/pii/S2214157X25003429Prefabricated housesEnvelope structureThermal performancePassive energy-saving optimization
spellingShingle Juan Zhao
Rui Liu
Botao Zhou
Yunchao Fu
Yongcai Li
Wenjie Zhang
Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region
Case Studies in Thermal Engineering
Prefabricated houses
Envelope structure
Thermal performance
Passive energy-saving optimization
title Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region
title_full Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region
title_fullStr Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region
title_full_unstemmed Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region
title_short Thermal performance and passive energy saving optimization of prefabricated houses in Xinjiang region
title_sort thermal performance and passive energy saving optimization of prefabricated houses in xinjiang region
topic Prefabricated houses
Envelope structure
Thermal performance
Passive energy-saving optimization
url http://www.sciencedirect.com/science/article/pii/S2214157X25003429
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AT ruiliu thermalperformanceandpassiveenergysavingoptimizationofprefabricatedhousesinxinjiangregion
AT botaozhou thermalperformanceandpassiveenergysavingoptimizationofprefabricatedhousesinxinjiangregion
AT yunchaofu thermalperformanceandpassiveenergysavingoptimizationofprefabricatedhousesinxinjiangregion
AT yongcaili thermalperformanceandpassiveenergysavingoptimizationofprefabricatedhousesinxinjiangregion
AT wenjiezhang thermalperformanceandpassiveenergysavingoptimizationofprefabricatedhousesinxinjiangregion