Gravity center change of carbon emissions in Chinese residential building sector: Differences between urban and rural area

Wang, Jiebing; You, Kairui; Li, Qi; Hong, Ren

doi:10.1016/j.egyr.2022.08.208

Cited by 24 publications

(6 citation statements)

References 47 publications

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“…Building energy service projects involve many services, including consultancy, design, equipment, construction, operation, finance, and others, making the BESI complex. Compared with energy services in other fields (e.g., industrial services), the development of the BESI lagged [3] due to numerous reasons, such as lacking sufficient support in current policies, the availability of few industry professionals, uncertainty about audit activities regarding energy saving, the complexity of energy retrofitting in old buildings, and lower payback [26][27][28]. Regarding the above circumstances, some studies have focused on depicting the risk indicators and critical success factors and proposing a series of policy recommendations accordingly [29,30].…”

Section: Building Energy Service Industrymentioning

confidence: 99%

“…With the rapid economic growth and industrialization in the last decades, China has become the engine of the world's economic growth, leading to a dramatic increase in energy consumption and carbon emissions [1][2][3][4]. The building sector is a critical contributor to China's energy consumption, whose energy consumption in a given life-cycle accounts for over 40% of China's total energy use and carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

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Evolution of China’s Building Energy Service Industry Based on Synergetic Theory

2022

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Global climate crises are forcing the world to behave sustainably. The building energy service industry (BESI) emerged and promoted building energy conservation by providing a market-oriented mechanism for initial investment. However, the BESI lacks scientific and rational planning, lagging far behind the energy service in the industrial sector. This paper attempts to analyze BESI from the perspective of order parameter-based analysis by adopting the DEMATEL (Decision-Making and Trial Evaluation Laboratory) method, thereby revealing the characteristics of industrial evolution and ascertaining the main order parameters. Consequently, the results show that the evolution of the BESI industry relies on synergistic interaction in the corporate operation, industry-standard, production factor-related, and external environmental industry subsystems. The synergy of the BESI consists of synergy in subsystems, between subsystems, and between the system and the external environment. Three main order parameters dominating the evolution of the BESIs system are determined, namely, “financial support”, “industry standard”, and “technology innovation”. Financial support and industry standard drove the development of the BESI in China over the last few years, while technological innovation will lead its evolution in the coming years. Based on these results, policy suggestions can be proposed to foster BESI development, especially regarding technological innovation.

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Section: Building Energy Service Industrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evolution of China’s Building Energy Service Industry Based on Synergetic Theory

2022

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“…Rural housing causes a huge environmental burden throughout its entire lifecycle, but fails to provide comfortable living conditions (Aisikaer et al, 2023; Han et al, 2022) [3,4]. Solving the problems of high energy consumption and low comfort has become a major challenge for the green development of rural housing (Li et al, 2020;Wang et al, 2022) [5,6].…”

Section: Introductionmentioning

confidence: 99%

Greenness evaluation of rural residential buildings based on the composite perspective of Environment-Building-Resources

Xu,

Tang,

Wang

et al. 2024

Preprint

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Based on the composite perspective of environment-building-resource(EBR), influencing factors of the greenness of rural buildings were sorted out by brainstorming and expert consultation, an innovative comprehensive evaluation system was constructed and the weight ofthe impact factors were calculated by fuzzy analytic network process(FANP). The EBR greenness comprehensive scoring standards of each influence factor were established by means of questionnaire, field measurement and numerical simulation. As a typical representative of human populated areas in southwest China, 13 villages in the second circle of Chengdu were selected as case study areas by means of the regional average distribution theory and minimum sampling criteria. Innovative combination of obstacle degree model and spatial interpolation analysis, the key factors affecting the greening of rural buildings were diagnosed. The results showed that, indoor thermal environment(E21), indoor light environment(E22), popularity of biogas facilities (R12), green building material usage(R13) have a significant impact on the EBR greenness score. The EBR score of study area shows a spatial distribution pattern of high in the west and low in the east, with extremely uneven scores in various dimensions. According to the key factors obtained from the systematic evaluation, the refined exploration of promotion strategies and measures was carried out, the greenness improvement suggestion was put forward.

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“…Previous studies have examined the relationship between household CFs (Cao et al, 2019; Goldstein et al, 2022; Kim et al, 2010, 2011; Rong et al, 2020), individual CFs (Kim and Kim, 2013), per capita CFs (Wang et al, 2019; Yang and Meng, 2020), urban form (Hong et al, 2022; Muñiz and Dominguez, 2020; Shi et al, 2023; Wang et al, 2022; Wu et al, 2021; Zheng et al, 2022), and density (Kim, 2015; Liao et al, 2022; Shen et al, 2022). Although these studies suggest that urban form and density can play a significant role in reducing carbon footprints at the city level, the specific relationship may vary at the community level depending on the intra-urban spatial structures.…”

Section: Introductionmentioning

confidence: 99%

Planning factors affecting carbon footprints of residents: Density, land use, and suburbanization

Kim

Noh

2023

Environment and Planning B: Urban Analytics and City Science

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Energy-efficient urban development and carbon footprints (CFs) are often discussed in relation to climate change. The optimal level of urban density from a carbon reduction perspective at the city level has been much debated. However, considering possible trade-offs or co-benefits for CFs in the housing and travel sectors, it remains difficult to evaluate how intra-urban/residential densities and mixed land-use patterns relate to individual CFs at a community level in different seasons. The study objective was to demonstrate the changes in the CFs of residents in summer and winter according to spatiotemporal changes in urban forms, such as intra-urban/residential densities and mixed land-use patterns. Based on geographical data and CF survey results from Seoul and Gyeonggi in 2009 and 2018, four path analysis models were used to verify the spatiotemporal variances of the relationships between urban forms and the CFs of the housing/travel sectors (HCF/TCF). Path analysis with a set of mediation variables enables the evaluation of possible trade-offs, or co-benefits, when investigating the impacts of different measures of intra-urban densities and mixed land-use patterns on the CFs. Furthermore, the moderating effects of different cooling and heating patterns in different seasons on CFs were verified by comparing the four path analysis models in different spatiotemporal contexts. The results showed spatiotemporal changes in urban density and different impacts of urban and residential densities on the TCF. It was also revealed that a low percentage of residential land use in urbanized areas offsets the advantage of high density in reducing TCF and HCF. Seasonal differences were also observed in the effects of residential density and HCF. The results of this study help us understand the spatiotemporal characteristics of TCF and HCF in urban settings, which can assist efforts to achieve carbon neutrality goals.

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Gravity center change of carbon emissions in Chinese residential building sector: Differences between urban and rural area

Cited by 24 publications

References 47 publications

Evolution of China’s Building Energy Service Industry Based on Synergetic Theory

Evolution of China’s Building Energy Service Industry Based on Synergetic Theory

Greenness evaluation of rural residential buildings based on the composite perspective of Environment-Building-Resources

Planning factors affecting carbon footprints of residents: Density, land use, and suburbanization

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