Evaluation of energy-saving retrofit projects of existing rural residential envelope structures from the perspective of rural residents: the Chinese case

Han, Tongze; Liu, Ping; Changlin, Niu; Qiangnian, Li

doi:10.1007/s10668-022-02406-3

Cited by 8 publications

(10 citation statements)

References 37 publications

(37 reference statements)

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“…They employ simplified room/zone thermal mass balance models and use accurate yet complex system models to depict the rapid dynamic response of each component under various control strategies. Another group, including EnergyPlus [25,28,31,35,36,44,64,67,68,70,72,76,[83][84][85][86], DeST [73,77], WUFI ® Plus [30], and IDA-ICE [74], focuses primarily on the long-term dynamic thermal performance of buildings and systems. Therefore, they utilize comprehensive room/zone models and simplified system models, making them more suitable for simulating the annual energy consumption of buildings.…”

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confidence: 99%

“…Moreover, BIM was utilized to predict the energy consumption (EC) and thermal comfort (PMV) of buildings. Corresponding target adaptability functions were established, and hybrid machine learning algorithms were combined to optimize the design parameters of building envelopes and HVAC systems to achieve goals of reduced energy consumption, lower life cycle costs, and improved thermal comfort [64]. Despite these advancements, a significant challenge in the renovation process of existing Chinese residential buildings still needs to be determined as the most cost-effective technological path for a specific project [99].…”

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confidence: 99%

“…Hybrid machine learning algorithms (such as random forests, NSGA-II, and NSGA-III intelligent algorithms) have performed well in multi-objective optimization. Therefore, they are suitable for multi-objective problems in the field of building performance optimization and are commonly used in the sustainable renovation of residential buildings in China [64,85,91]. The multi-objective optimization problem can be summarized as follows:…”

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confidence: 99%

“…Subsequently, the distance between each non-dominated solution and the ideal and anti-ideal solutions is calculated separately. The comprehensive distance serves as the basis for assessing solution equality and enables the computation of TOPSIS scores [49,64,76,86,91].…”

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confidence: 99%

“…Based on the experts' evaluations, the weights of each indicator are calculated. Finally, through AHP calculation, the comprehensive weights of each indicator in the evaluation index system are obtained [49,64,74,76].…”

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confidence: 99%

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Sustainable-Driven Renovation of Existing Residential Buildings in China: A Systematic Exploration Based on Review and Solution Approaches

Huang,

2024

Sustainability

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Under the backdrop of China’s national strategy to achieve carbon neutrality by 2060, efforts are underway across governmental, corporate, societal, and individual sectors to actively explore energy-saving renovations in existing buildings. Given that residential buildings constitute a significant proportion of the total energy consumption throughout the lifecycle of buildings in China, sustainable renovation of residential structures can contribute significantly to implementing China’s carbon emission reduction policies. While there exists a plethora of technological means in the market aimed at improving the energy performance of residential buildings, there still needs to be a more systematic discussion on the framework for sustainable renovation of existing Chinese residential buildings, with knowledge dissemination still needing to be more cohesive. In this context, this paper provides a comprehensive review of the field, utilizing bibliometric methods. Through a systematic review of selected peer-reviewed literature from the Web of Science and Scopus databases, the study focuses on the sustainable renovation of existing Chinese residential buildings, categorizing the process into three main stages: sustainable renovation, building performance simulation and suitability assessment. The paper also reviews the research methods adopted by previous researchers in the renovation, simulation and assessment stages, considering various optimization algorithms, variables, objectives, and software tools. Subsequently, the paper synthesizes a research framework comprising these three stages combined for different research objectives, aiming to assist policymakers, designers, and researchers in gaining a comprehensive understanding of the implementation status of sustainable renovation in existing Chinese residential buildings, identifying barriers to implementation, and formulating more efficient renovation policies and strategies for the future.

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confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Sustainable-Driven Renovation of Existing Residential Buildings in China: A Systematic Exploration Based on Review and Solution Approaches

Huang,

2024

Sustainability

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Framework on low-carbon retrofit of rural residential buildings in arid areas of northwest China: A case study of Turpan residential buildings

Song

Wang²,

Ni³

et al. 2022

Build. Simul.

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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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Evaluation of energy-saving retrofit projects of existing rural residential envelope structures from the perspective of rural residents: the Chinese case

Cited by 8 publications

References 37 publications

Sustainable-Driven Renovation of Existing Residential Buildings in China: A Systematic Exploration Based on Review and Solution Approaches

Sustainable-Driven Renovation of Existing Residential Buildings in China: A Systematic Exploration Based on Review and Solution Approaches

Framework on low-carbon retrofit of rural residential buildings in arid areas of northwest China: A case study of Turpan residential buildings

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

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