Assessing energy efficiency of green measures for residential buildings: the simulation case of the Changchun city in Ch
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Assessing energy efficiency of green measures for residential buildings: the simulation case of the Changchun city in China Jiaying Teng1 · Wan Wang1 · Xiaofei Mu1 · Chao Xu1 Received: 20 November 2019 / Accepted: 3 November 2020 © Springer Nature B.V. 2020
Abstract Energy efficient building projects has become the focus of sustainable development. In this article, 2 indexes, energy-saving sensitivity and energy-saving contribution, are proposed to assess the energy efficiency of residential buildings. Four green measures to improve the energy efficiency of residential building with either passive or active technologies are designed and their saving performances are evaluated with the case study of a residential building simulation model in Changchun, region in China using the 2 indexes by simulations in the Designbuilder simulation software. The results reveal that improving the energy efficiency of residential buildings in severely cold regions should be focused on two key energy consumption factors, A1-heating (gas) and A2-zone sensible heating. Green measures M4-modifying the heating ventilating and air conditioning system and M1-improving envelope structures are found with high energy-saving sensitivities on the energy consumption factors A1 and A2. The energy-saving contribution of green measures M4 is the largest with the value of 80.17%, and that of green measure M2-adding shading facilities is the smallest with the negative value of − 8.53%. These results suggest that M4 and M1 are the effective green energy-saving renovation measures of the residential buildings in severely cold regions. The assessment method and simulation case study results provide a theoretical foundation and practical suggestions for the decision making to effectively reduce the energy consumption of residential buildings in severely cold regions by adopting appropriate green measures. Keywords Passive technology · Active technology · Energy consumption factors · Sensitivity
* Jiaying Teng [email protected] Xiaofei Mu [email protected] Chao Xu [email protected] 1
School of Economics and Management, Jilin Jianzhu University, Changchun 130118, China
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List of symbol Aj Energy consumption factor (j = 1, 2, 3, 4, 5, 6) A1 Energy consumption of heating (Gas) A2 Energy consumption of zone sensible heating A3 Energy consumption of room electricity A4 Energy consumption of computer and equipment A5 Energy consumption of lighting A6 Energy consumption of domestic hot water electricity DHW Domestic hot water ESS_(Mi-Aj) Energy-saving sensitivity of the green measure Mi (i = 1,2,3,4) for energy consumption factor Aj (j = 1, 2, 3, 4, 5, 6) EC_(Mi-Aj) Annual energy consumption of the energy consumption factor Aj (j = 1, 2, 3, 4, 5, 6) of building with the green measure Mi (i = 1, 2, 3, 4) EC_(T-Aj) Annual energy consumption of the energy consumption factor Aj (j = 1, 2, 3, 4, 5, 6) of the building with the traditional plan (T) ESC_Mi Energy-saving contribution of green measure Mi
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