Abstract
Carbon peak and carbon neutrality have been incorporated into the ecological civilization construction and social development strategy in China. At the same time, the implementation of clean energy transformation in urban settlements only relies on the mandatory provisions in the transformation design standards for a long time, and the transformation effect is inconsistent with the actual transformation demands of residents, which is contrary to the original intention of improving the living environment. A clean energy transformation investigation was conducted in the existing urban settlements in China from July to August 2020 in order to study the influencing factors and demands of residents' transformation intention in the clean energy transformation. The influencing factors and demand of urban residents' clean energy transformation intention were analyzed according to different climate zones, multivariate logistic regression and binary logistic regression. Taking Shandong Province as a case, a specific analysis of residential energy consumption data in cold climate zones is carried out, and the peak of residential carbon dioxide is predicted under the condition of different annual replacement rates of clean energy power generation. The results show that the residents' intention index of clean energy transformation is the highest in hot summer and cold winter area. The low motivation of clean energy transformation intention mainly comes from low annual income and high cost of living energy consumption considering the influencing factors of urban residents' clean energy transformation intention. In contrast, the high motivation of clean energy transformation intention is mainly from the not popular user of clean energy. For the demand of clean energy transformation, residents in cold regions have clear demand for energy-saving transformation of external walls and air conditioning, etc. residents consumption can be achieved the carbon peak by 2030 only when the annual growth rate of clean electricity reaches more than 5%.
Clean Energy Transformation Investigation and Carbon Emission Analysis in Existing Urban Settlements in China