Energy and environment in Chinese rural buildings: Situations, challenges, and intervention strategies

Shan, Ming; Wang, Pengsu; Li, Jiarong; Yue, Guangxin; Yang, Xudong

doi:10.1016/j.buildenv.2015.03.016

Cited by 126 publications

(63 citation statements)

References 36 publications

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“…Currently, China has more than 600 million people, occupying 24 billion m 2 of building space in vast rural area [1]. Considering urbanization trends and floor space expansion in China, the rural share of floor space is projected to be 29% in 2030 and 21% in 2050 [2].…”

Section: Introductionmentioning

confidence: 99%

“…Considering urbanization trends and floor space expansion in China, the rural share of floor space is projected to be 29% in 2030 and 21% in 2050 [2]. Compared to urban buildings, rural buildings have higher energy consumption in China due to irrational design Related research shows that poor building envelope is the main reason for the lower temperature of rural buildings in North China [1]. Rural homes on average are significantly less efficient than urban ones, both because of their design and because of their use of inefficient traditional biomass [2].…”

Section: Introductionmentioning

confidence: 99%

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Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China

Tang

et al. 2017

Sustainability

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Abstract:The aim of this paper is to optimize the building shape parameters and envelope parameters influencing the rural building energy consumption in cold winter and hot summer climate. Several typical models are established and optimized by integrated TRNSYS and GenOpt. Single-objective optimization has provided guidance to the multi-dimensional optimization. Building shape and envelope parameters are considered simultaneously by multi-dimensional optimization. Results of the optimization showed significant reduction in terms of EC (energy consumption). When O (building orientation) was SW (south by west) 10 • , LWR (length-width ratio) was 1.1, WWRS (window-wall ratio in south) with the range of 0.6-0.8, ITE (insulation thickness of exterior wall) and ITR (insulation thickness of roof) was 0.05 m and 0.08 m respectively, the building had minimal energy consumption. The results also indicated that the optimal EWT (exterior window type) was plastic single-frame Low-E insulating glazing filled with inert gas, and the optimal shape of building is Re (rectangle). An effective method was provided to optimize the design of the rural building for the purpose of reducing building energy consumption in cold winter and hot summer climate.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China

Tang

et al. 2017

Sustainability

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“…(3) Urbanization level Shan et al showed that China's rural population of 600 million consumes about 192 million tons of raw coal each year [10]. The rural population directly affects coal consumption, and the urbanization level, in turn, can reflect the changes in China's rural population.…”

Section: Index Selectionmentioning

confidence: 99%

“…Coal consumption mainly includes industrial coal and residential coal. Moreover, the use of coal for space heating and cooking in China's rural areas is increasing [10]. Compared with the urban population, the rural population consumes more coal, thus indicating why the urbanization level affects coal consumption.…”

Section: Main Conclusionmentioning

confidence: 99%

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Dynamic Factor Analysis of Trends in Temporal–Spatial Patterns of China’s Coal Consumption

Sun

Chen

et al. 2015

Sustainability

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This paper analyzes coal consumption in the 31 provinces and regions of China from 1995 to 2012. Using spatial analysis in Arc geographical information systems (ArcGIS) and the concept of the center of gravity in physics, we explore the regional differences in temporal-spatial coal consumption and the factors influencing them. The results show that China's coal consumption increased yearly, especially after 2003. It exhibits a marked spatial clustering phenomenon; consumption in the south and east exceeded that in the north and west respectively. Moreover, the center of gravity of consumption gradually moved toward the southwest, indicating reducing gaps in coal consumption between the north-south and the east-west regions. Both the level of economic development and coal consumption are positively related with regional coal production. Promoting urbanization and increasing the proportion of the tertiary industry can effectively reduce coal consumption and help readjust coal consumption patterns to sustainable levels.

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Vernacular Architecture in the MENA Region: Review of Bioclimatic Strategies and Analysis of Case Studies

Al-Sallal

Rahmani

2019

Sustainable Vernacular Architecture

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Energy and environment in Chinese rural buildings: Situations, challenges, and intervention strategies

Cited by 126 publications

References 36 publications

Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China

Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China

Dynamic Factor Analysis of Trends in Temporal–Spatial Patterns of China’s Coal Consumption

Vernacular Architecture in the MENA Region: Review of Bioclimatic Strategies and Analysis of Case Studies

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