Wed. May 24, 2023 3:30 PM - 4:45 PM 105 (International Conference Hall, Makuhari Messe)

convener:Hideaki Ohtake(National Institute of Advanced Industrial Science and Technology), Daisuke Nohara(Central Research Institute of Electric Power Industry), Teruhisa Shimada(Graduate School of Science and Technology, Hirosaki University), Fumichika Uno(Nihon University, College of Humanities and Sciences), Chairperson:Teruhisa Shimada(Graduate School of Science and Technology, Hirosaki University)

Renewable energy is increasing dramatically in the world. Renewable energy power generations have become a strong presence in grid operations. However, it is a challenge for renewable energy to be stable power sources due in part to natural variability of renewable energy. For effective use of renewable energy, a combinational of various power resources and energy storage technologies (e.g., pumped-storage power generation, storage battery system, electric vehicles) should be desired. Therefore, we need to understand the amount of renewable resources, causes of variation, and the predictability of power output. Then, observation and forecast information from earth science fields should be analyzed and applied to power energy fields to achieve easy use of earth science databases.
Recently, observation databases from remote sensing technology and/or forecasts from numerical models have become essential for both renewable energy and electric power system. Impacts of both earth science data and optimization are essential to economic evaluation of grid operations.
This proposed session needs your presentation from the whole of renewable energy fields (wind power, solar power, geothermal power, tidal power, wave power and biomass power generations) and from the studies of impacts of weather conditions on energy demand and power systems. Our goal of this session is to exchange views with various researchers between renewable energy fields and earth science fields (e.g., usage-trends of earth science datasets for renewable energy, earth science datasets availability, integrated studies, energy resources in future, and a request from renewable energy fields to earth science fields).