主催: 一般社団法人 日本機械学会
会議名: 2018年度 年次大会
開催日: 2018/09/09 - 2018/09/12
The energy demand in Hokkaido fluctuates greatly due to heat load. Therefore, we can‘t increase the amount of renewable energy introduced by wind power generation and solar power generation. Therefore, in this research, we studied a system that adjusts the fluctuation of energy demand in Hokkaido with hydrogen fuel derived from renewable energy. We used a genetic algorithm that can handle many variables with nonlinear characteristics at the same time in the analysis algorithm. As a result, we found that electric power using conventional oil generator can be reduced to about 55% of demand. In addition, it was found that the equipment utilization rate of the hydrogen production machine can be secured to 80% or more.