Weight of energy consumption parameters of rural residences in severe cold area

Appropriate management and optimization of energy consumption provides great support for the sustainable development of rural buildings. Although some research results are helpful for the energy-saving design and transformation of rural residential buildings, there is no systematic analysis of the i...

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Main Authors: Wei Jiang, Bo Liu, Qing Li, Dong Li, Lingyong Ma
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Case Studies in Thermal Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X2100294X
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spelling doaj-475e4ab643e34d42a014410c13869afd2021-07-09T04:43:55ZengElsevierCase Studies in Thermal Engineering2214-157X2021-08-0126101131Weight of energy consumption parameters of rural residences in severe cold areaWei Jiang0Bo Liu1Qing Li2Dong Li3Lingyong Ma4School of Architecture and Civil Engineering, Northeast Petroleum University, Fazhan Lu Street, Daqing, 163318, China; College of Civil Engineering and Water Conservancy, Heilongjiang Bayi Agricultural University, Xinfeng Lu Street, Daqing, 163319, ChinaSchool of Architecture and Civil Engineering, Northeast Petroleum University, Fazhan Lu Street, Daqing, 163318, ChinaSchool of Architecture and Civil Engineering, Northeast Petroleum University, Fazhan Lu Street, Daqing, 163318, ChinaSchool of Architecture and Civil Engineering, Northeast Petroleum University, Fazhan Lu Street, Daqing, 163318, China; Corresponding author.School of Architecture and Civil Engineering, Northeast Petroleum University, Fazhan Lu Street, Daqing, 163318, China; Corresponding author.Appropriate management and optimization of energy consumption provides great support for the sustainable development of rural buildings. Although some research results are helpful for the energy-saving design and transformation of rural residential buildings, there is no systematic analysis of the impact of energy consumption parameters on energy-saving, which is not conducive to further optimization of energy-saving design. Based on more than 200 groups of field survey data, a typical initial rectangle model of rural residence in the severe cold area of northern China is established, and the orientation, aspect ratio, south window-wall ratio (WWR), north WWR, and enclosure structure are five main factors affecting the energy consumption in heating period. The method to evaluate the heating energy consumption of buildings was proposed based on EnergyPlus and analytic hierarchy process (AHP) from different functional parameters. The climate conditions of four cities of three secondary severe cold areas (1A, 1B, 1C) in northern China are selected for the building model, and the change rates and weights of energy consumption related parameters are analyzed. The results from the energy consumption simulation analysis show that the weight of enclosure structure is the largest, followed by the South WWR, the ratio of length to width is the third, and the orientation is the smallest in the four cities, which provides a good reference for the prediction and optimization of energy consumption in the rural residences in severe cold area.http://www.sciencedirect.com/science/article/pii/S2214157X2100294XRural residenceEnergy consumption parameterWeightAnalytic hierarchy processEnergyPlus
collection DOAJ
language English
format Article
sources DOAJ
author Wei Jiang
Bo Liu
Qing Li
Dong Li
Lingyong Ma
spellingShingle Wei Jiang
Bo Liu
Qing Li
Dong Li
Lingyong Ma
Weight of energy consumption parameters of rural residences in severe cold area
Case Studies in Thermal Engineering
Rural residence
Energy consumption parameter
Weight
Analytic hierarchy process
EnergyPlus
author_facet Wei Jiang
Bo Liu
Qing Li
Dong Li
Lingyong Ma
author_sort Wei Jiang
title Weight of energy consumption parameters of rural residences in severe cold area
title_short Weight of energy consumption parameters of rural residences in severe cold area
title_full Weight of energy consumption parameters of rural residences in severe cold area
title_fullStr Weight of energy consumption parameters of rural residences in severe cold area
title_full_unstemmed Weight of energy consumption parameters of rural residences in severe cold area
title_sort weight of energy consumption parameters of rural residences in severe cold area
publisher Elsevier
series Case Studies in Thermal Engineering
issn 2214-157X
publishDate 2021-08-01
description Appropriate management and optimization of energy consumption provides great support for the sustainable development of rural buildings. Although some research results are helpful for the energy-saving design and transformation of rural residential buildings, there is no systematic analysis of the impact of energy consumption parameters on energy-saving, which is not conducive to further optimization of energy-saving design. Based on more than 200 groups of field survey data, a typical initial rectangle model of rural residence in the severe cold area of northern China is established, and the orientation, aspect ratio, south window-wall ratio (WWR), north WWR, and enclosure structure are five main factors affecting the energy consumption in heating period. The method to evaluate the heating energy consumption of buildings was proposed based on EnergyPlus and analytic hierarchy process (AHP) from different functional parameters. The climate conditions of four cities of three secondary severe cold areas (1A, 1B, 1C) in northern China are selected for the building model, and the change rates and weights of energy consumption related parameters are analyzed. The results from the energy consumption simulation analysis show that the weight of enclosure structure is the largest, followed by the South WWR, the ratio of length to width is the third, and the orientation is the smallest in the four cities, which provides a good reference for the prediction and optimization of energy consumption in the rural residences in severe cold area.
topic Rural residence
Energy consumption parameter
Weight
Analytic hierarchy process
EnergyPlus
url http://www.sciencedirect.com/science/article/pii/S2214157X2100294X
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