領域外・複数領域(M) | |||
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セッション小記号 | 応用地球科学(AG) | ||
セッションID | M-AG32 | ||
タイトル | 和文 | Renewable Energy | |
英文 | Renewable Energy | ||
タイトル短縮名 | 和文 | Renewable Energy | |
英文 | Renewable Energy | ||
代表コンビーナ | 氏名 | 和文 | 大竹 秀明 |
英文 | Hideaki Ohtake | ||
所属 | 和文 | 国立研究開発法人 産業技術総合研究所 再生可能エネルギー研究センター | |
英文 | National Institute of Advanced Industrial Science and Technology | ||
共同コンビーナ 1 | 氏名 | 和文 | Pan Chen-Jeih |
英文 | Chen-Jeih Pan | ||
所属 | 和文 | Department of Space Science and Engineering, National Central University | |
英文 | Department of Space Science and Engineering, National Central University | ||
発表言語 | E | ||
スコープ | 和文 |
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 combination 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), energy demand, and environmental impact studies on renewable energy. In addition, researches on initiatives to improve science education and literacy in primary and secondary education on renewable energy are welcome. 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). |
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英文 |
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 combination 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), energy demand, and environmental impact studies on renewable energy. In addition, researches on initiatives to improve science education and literacy in primary and secondary education on renewable energy are welcome. 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). |
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発表方法 | 口頭および(または)ポスターセッション | ||
招待講演 |
Jakob Mann (Technical University of Denmark) |
時間 | 講演番号 | タイトル | 発表者 |
---|---|---|---|
口頭発表 5月28日 PM1 | |||
13:45 - 14:10 | MAG32-01 | Multi-lidar investigations of turbulence structure over the ocean | Jakob Mann |
14:10 - 14:30 | MAG32-02 | Advances in retrieving bias-free turbulence measures with Doppler wind lidars | Alfredo Pena |
14:30 - 14:45 | MAG32-03 | フローティングライダーの精度検証における基準気象マストからの距離の影響 | 大澤 輝夫 |
14:45 - 15:00 | MAG32-04 | Evaluation of a Scanning Doppler LiDAR-based Wind Field Observation in LES | Jay Prakash Goit |
15:00 - 15:15 | MAG32-05 | Factors controlling low-frequency changes in near-surface wind speed | Ingo Richter |
口頭発表 5月28日 PM2 | |||
15:30 - 15:45 | MAG32-06 | Reconstructing geothermal geological models by combining geophysical, geochemical and geological studies in Tatun volcanoes area, Northern Taiwan | Jian-Cheng Lee |
15:45 - 16:00 | MAG32-07 | Sharing of Experience in Establishing Competency Indicators and Designing Teaching Materials for Net-Zero Green Life Literacy for Taiwanese Students in Grades 5-9 | Yenhung Shen |
16:00 - 16:15 | MAG32-08 | On the decarbonization potentials of rooftop PVs integrated with EVs as battery for all the municipalities of Japan | 小端 拓郎 |
16:15 - 16:30 | MAG32-09 | Impact Assessment of Fog on Renewable Energy in Small Islands under Climate Change: An Application of Model Downscaling | Jhih-Ying Guo |
16:30 - 16:45 | MAG32-10 | Solar Irradiance Nowcast by Cloud Tracking and Extrapolation | YIWEN CHEN |
16:45 - 17:00 | MAG32-11 | Enhancing Accuracy of PV Output Probabilistic Forecast through Synergistic Integration of Machine Learning and Ensemble Weather Prediction | 野原 大輔 |
講演番号 | タイトル | 発表者 |
---|---|---|
ポスター発表 5月28日 PM3 | ||
MAG32-P01 | Osmotic power generation as a renewable ocean energy -- its technical and economic potential assessment | 渡邉 琴弓 |
MAG32-P02 | 風洞実験を用いた風速計の着雪・着氷要因の評価 | 宇野 史睦 |
MAG32-P03 | むつ小川原試験サイトにおける沿岸域の風況および熱環境の陸海コントラスト | 小長谷 瑞木 |
MAG32-P04 | Analyzing Projected Changes to Wind Energy Resources in Japan Under Four Climate Change Scenarios | Jacqueline Muthoni Mbugua |
MAG32-P05 | Recent advances in satellite SAR for wind energy applications | Charlotte Bay Hasager |
MAG32-P06 | 洋上風力エネルギー分野のためのERA5波浪再解析データの利用可能性の検討 | 工藤 真理恵 |
MAG32-P07 | 台湾海峡における風力エネルギー変動の特徴 | 武川 怜 |
MAG32-P08 | Mutsu 2022 Intensive LiDAR Experiment: Investigation of Coastal Wind Transition Using Scanning and Floating LiDARs | 嶋田 進 |
MAG32-P09 | Action Research on the Promotion Strategy of the Net Zero Green Living Concept in Higher Education Institutions in Taiwan: A Case Study of CJCU | YULUN SU |
MAG32-P10 | International Interaction Experiences in Promoting Net-Zero Green Life Literacy Competencies in Taiwan— United States and Germany | Hsin-Chih Lai |
MAG32-P11 | Cloud observation and solar irradiance estimation using all-sky imagers in Taiwan-Ⅲ: Assessment of solar resources | 楊 時賢 |
MAG32-P12 | Automatic cloud cover observation using all-sky imager: Feasibility study and comparison with manual observation | 楊 時賢 |
MAG32-P13 | Analysis of global solar irradiance forecasts from the meso-ensemble prediction system - A case study of low-level clouds | 大竹 秀明 |