With the full opening of our country's carbon market,the current situation of low carbon resi-dential buildings with too high incremental costs and too long capital payback periods may be broken.Taking a residential building in Beijing as an example,we use machine learning,engineering economics and other relevant theoretical methods,calculate carbon emissions using PKPM software modeling,and take the investment payback period as an evaluation index to analyze the economic impact of carbon trading scheme on the full life cycle of low-carbon residential buildings.The results show that the carbon trading scheme can bring overall 10.92%additional benefits to new low-carbon residential buildings,and the carbon revenue in the operation stage accounts for 7.03%.The above research provides a reference for real estate developers to develop housing types.
维普
万方数据