Abstract
The demand for heating in cold regions drives up carbon emissions every year. In order to achieve China’s carbon neutrality target by 2060, CO2 emissions in the cold regions must be reduced. In this paper, using Design Builder software, a simulation model of residential buildings in severe cold regions was created, and the most appropriate parameter design scheme for carbon emission reduction of residential buildings in severe cold regions was derived by simulating the experimental data of the original parameter design scheme and the changed parameter design scheme, as well as the calculation of carbon dioxide emission reduction rate. In order to make the comparison of the results easier, no change was made in the selection of the changed scheme for the external insulation material, foamed polystyrene panels. The results show that the most suitable parameter scheme for houses in severe cold regions is 85 mm thick foamed polystyrene panels for exterior walls, 200 mm thick foamed polystyrene panels for roofs, and exterior windows should use semi-tempered plastic steel frame and triple glass 6 mm glass + vacuum + 6 mm low-e glass + 12 mm air + 6 mm glass composed of windows. This technique saves 30.32% of energy as compared to the original parameter design approach. The efficiency of energy conservation is 33.03%. The emission reduction effect is significant. The best parametric design plan has a static payback period of 5 years. The best parametric design plan has a discounted payback period of 7 and a net present value of USD 65,413.39. This scheme can provide a great economic return while also increasing the performance of the building.
Highlights
Step 5: The most suitable parameter solutions for residential buildings in severe6 cold of 19 regions were analyzed by combining different perspectives of economic analysis and carbon emission analysis for 17 groups of tested solutions, and the most suitable parameter solutions for residential buildings in severe cold regions were analyzed by combining difsolutions for residential buildings in severe cold regions were analyzed by combining ferent perspectives of economic analysis and carbon emission analysis
In order to determine the carbon dioxide reduction rate of of the the design retrofit programs based on the simulation findings, apply the computational design retrofit programs based on the simulation findings, apply the computational model model of carbon dioxide reduction rate Equation of carbon dioxide reduction rate Equation
The results show that the best parameter design plan for the project from the perspective of CO2 reduction is selected as 85 mm thickness of EPS polystyrene foam panels for the exterior walls, 200 mm thickness of EPS polystyrene foam panels for the roof, 6 + V + 6Low-e + 12A + 6, and semi-tempered vacuum glass plastic windows
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Research on reducing residential building carbon emissions emissions. Increases the can solar heat gain coefficient of the the U-value the walls, and the length of the in eaves reduce energy consumption and increase the building’s energy efficiency, according to the findings. Parameter evaluation and optimization during the design phase improve building energy efficiency and reduce energy consumption, indicating that parameter evaluation and optimization during the design phase reduce building CO2 emissions. Many studies were conducted by existing scholars on the energy consumption of residential buildings in the severe cold regions of China [18–21], few focused on reducing CO2 emissions in the design phase of residential buildings in the severe cold regions of China.
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