No abstract

The impact of energy on the economy must be examined not only from an energy structure standpoint but also from an economic structure standpoint, as there is a close relationship between energy structure and energy economy. To avoid the negative effects of energy consumption on the economy, it is also necessary to assess the constraints to the development of the energy economy and then optimize the energy economy and energy structure to achieve rapid economic growth. The research object in this paper is a data center powered by renewable energy, and the resource and energy consumption management model and algorithm are examined. Different adaptive scheduling algorithms are designed for different emphases, and an approximate application scheduling algorithm for renewable energy utilization based on DM is proposed. When building a data center, researching the resource management and energy consumption management strategies can help determine the best energy access scheme. It can provide the necessary reference for specific planning, such as software and hardware configuration, equipment parameter determination, and power access, resulting in lower construction and operation costs.

In order to deal with global warming, resource depletion and environmental degradation, China must develop low-carbon economy to cope with global climate change and maintain sustainable economic development. The important step in the transfer of low-carbon economy from the theoretical stage to practical application stage is to evaluate the level of economic development of low-carbon and to study its time-space disparities. In this paper, a low-carbon economy index system is used to evaluate comprehensively low-carbon economic development in Hebei Province. The evaluation results are analyzed to verify that the results are consistent with the actual situation of low-carbon economic development by using space-time analysis method.

Various pollutants emitted by coal-fired boilers are one of the main culprits of fog and haze forming in recent years especially in the north of China. The paper analyzes the fuel-switching project for district heating and main pollutant reductions, emission reductions of atmospheric particulate matter are calculated by materials accounting method. The economic, environmental and social benefits are also calculated according to pollutant reductions. It is shown that clean energy can be used for district heating. The project provides the theoretical basis for coal fired to gas fired reforming for district heating in the north area and has a guiding role for the other areas of China.

This paper intends to improve the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method in view of the traditional TOPSIS method and combines with the current development of Chinese enterprises. By determining the index weights and attributes, it also constructs a new enterprise decision-making method which based on energy saving and greenhouse gas emissions. According to the survey's raw data, this paper not only calculates the energy levels of conventional coal-fired power plant in North China and an integrated gasification gas-steam combined cycle (IGCC) power plant, but also computes their carbon dioxide emissions. The results show that under the same circumstances, the energy consumption of IGCC power plant is lower than that of the conventional coal-fired power plants, has less carbon dioxide emissions, lower carbon intensity and higher carbon productivity. On the basis, using the improved TOPSIS method, the paper calculates the numerical superiority of two schemes and sorts of them, verified the correctness of this construction method.