JpGU-AGU Joint Meeting 2017

Session information

[JJ] Poster

H (Human Geosciences) » H-RE Resource and Engineering Geology

[H-RE18] [JJ] Use of earth science data toward effective applications in renewable energy

Mon. May 22, 2017 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall HALL7)

convener:Hideaki Ohtake(National Institute of advanced industrial and technology), Fumichika Uno(National Institute of Advanced Industrial Science and Technology), Teruhisa Shimada(Graduate School of Science and Technology, Hirosaki University), Daisuke Nohara(Central Research Institute of Electric Power Industry)

Renewable energy penetration is increasing dramatically in the world. Renewable energy power generations have become a strong presence in an electric power system. However, there is a problem that renewable energy can not be base power as stable power resources due in part to natural variability of renewable energy and its uneven distribution. For effective use of renewable energy, a combinational use of power resources (e.g., thermal power plants, hydropower systems) and energy storage technologies (e.g., pumped-storage power generation and storage battery system) should be desired. Therefore, we need to understand the amount of renewable resources, causes of variation, and its predictability. Then, observation and forecast information from earth science field should be analyzed and applied to power energy field 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 fields. This proposed session needs your presentation from the whole of renewable energy fields (solar power, wind power, geothermal power, ocean current power/tidal power, wave-power and biomass power generations). Our goal of this session is to exchange views with various researchers between renewable energy field and earth science field (e.g., utilization of earth science datasets for renewable energy field, a request from renewable energy field to earth science field, and so on).




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