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Optimization design of rural residences in severe cold zone of China weighing the dual-control objectives of life cycle carbon emission and economic cost
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-12-09 , DOI: 10.1016/j.enbuild.2024.115156 Sheng Yao, Ying Wu, Xizhuo Ni, Shiya Zhao, Xiaohui Wu, Min Li
Energy and Buildings ( IF 6.6 ) Pub Date : 2024-12-09 , DOI: 10.1016/j.enbuild.2024.115156 Sheng Yao, Ying Wu, Xizhuo Ni, Shiya Zhao, Xiaohui Wu, Min Li
The majority of rural residences in China have poor thermal performance, resulting in significant carbon emissions. Meanwhile, economic cost level is critical to achieve low-carbon construction. In the study, the dual-control objectives of life cycle carbon emission and economic cost for rural residences were proposed, and an optimization model was developed including the objective function models and the decision-making method. Furthermore, one typical rural residence was selected as the case to carry out the optimal renovation design strategy, and the optimization solution was also applied to the other prototypical rural residences. Interestingly, the uncertainty analysis of the carbon emissions for the optimized rural residences was conducted using a semi-parametric probability analysis method based on data quality indicators. The result indicates that the most significant impact factor of life cycle carbon emission for the rural residences is the type of external doors and windows. For the optimized rural residences, the life cycle carbon emissions can be reduced by 25.01 %–36.26 % and the life cycle economic costs are decreased by 5.56 %–18.87 %. The operation stage has the greatest potential for the carbon emission reduction of rural residences in the life cycle. The coefficients of variation of carbon emissions of the optimized rural residences are reliable. With the logarithmic normal distribution, the coefficient of variation is between 5.92 % and 15.08 % under all scenarios of the heating system. In addition, under the baseline scenario of using fired heaters, the coefficient of variation of carbon emissions with uniform distribution is highest, and that with normal distribution is lowest.
更新日期：2024-12-09
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