No abstract

In the future, energy development will face a series of severe challenges, such as insufficient domestic conventional energy resources, huge oil supply gap, large amount of clean energy needed by cities, and huge international pressure on global climate change. This paper uses historical data and genetic algorithm to improve it, and uses function expansion model to reveal the internal proportional connection between energy consumption and economic development. By comparing the forecasting methods of clean energy demand, it is found that the energy consumption elasticity coefficient method is used to measure and predict the growth ratio of energy consumption, and the figure in the next few years is measured. The software has self-built optimization model, reflects energy supply and demand fluctuations, and generates reports. It can make decision support for regional clean energy system planning, miscalculation and clean energy demand forecasting.

No abstract

The thermal conductivity test is mainly carried out under normal temperature conditions, and there are few reports on the thermal conductivity test at low temperature and high temperature. In this paper, the fabric heat transfer simulation based on non-steady state conditions is analyzed.