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At the general debate of the 75th session of the United Nations General Assembly, president Xi Jinping proposed to reach ”carbon peak” by 2030 and strive to achieve the ”carbon neutrality” by 2060. Research on carbon emission projections is of positive significance to facilitate the effective application of ”double carbon” in China. Therefore, this paper proposes a regional carbon emission projection method. Firstly, based on the regional resource endowment and historical data on energy consumption, this paper forecasts the energy structure of each sector in the region through the Markov model and the energy demand of each sector in the region through the LEAP model. Then, the CO2emission factor of each energy source is calculated. Finally, the projection of regional CO2emissions under different policy and technology scenarios is provided by considering the influence of different factors on future regional carbon emissions, and the emission reduction potential is analyzed based on the projection results. To check the effectiveness of the presented method, this paper carries out a case study of regional CO2emission in a city in China and analyzes the emission decrease effect of each proposed initiative according to the projected results. The results of the case study demonstrate that the presented method can effectively assess the regional CO2emissions and the reduction potential of different emission reduction measures.

Faced with the challenge of decarbonization, the net-zero smart building energy system with the integration of a wind power system could become one practical solution for people's energy usage, and a proper frequency control method is essential in helping realize the goal. This article studies the frequency control method of the net-zero smart building energy system adopting a wind power system where the influence of wind turbulence characteristics on the system frequency has been analyzed. The novelty lies in formulating the relationship between frequency deviation and turbulence characteristics, based on which, an innovative frequency controller has been designed where an additional reference power output is added to the traditional over-speed control to obtain a better frequency regulation performance according to turbulence characteristics. The simulations and experiments carried out on a frequency control experimental platform demonstrate the effectiveness and superiority of the improved control method.