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Stochastic Control in Energy, Environmental and Resource Management Applications presents a comprehensive exploration of stochastic control and offers practical insights and solutions to contemporary challenges in resource, environment, and energy management. From sustainable fishery practices to water quality assessment and renewable energy generation, it addresses urgent global issues. Additionally, it delves into the mathematical and computational aspects of stochastic control, aligning with modern concepts like
Sustainable Development Goals and
Green Transformation. This book bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealised solutions. It does so by using stochastic modeling and control theory to foster a more sustainable balance between the environment and humanity.
List of contents
1. Introduction
2. Preliminaries
3. Surface water quantity and quality
4. Uncertainty and risk modelling of surface waters
5. Mathematical modelling of fish migration
6. Harvesting problem of fishery resources
7. Algae detachment dynamics and sediment replenishment
8. Crop and vegetation management from mechanistic viewpoints
9. Real option approach for energy market
10. Clean energy generation
11. Conclusions
About the author
Dr. Hidekazu Yoshioka is an Associate Professor at the Japan Advanced Institute of Science and Technology, Nomi, Japan. He received his Ph.D in Agriculture from Kyoto University, Kyoto, Japan in 2016. His research interests include mathematical and numerical analysis of physical, biological, chemical and decision-making problems arising in civil and agricultural engineering. He is currently a member of IEEE.
Dr. Motoh Tsujimura is a Full Professor at the Graduate School of Commerce, Kyoto, Japan. He received his Ph.D in Economics from Osaka University, Osaka, Japan in 2004. His research interest includes sustainable energy systems and other environmental issues using the real options approach, and corporate investment decisions under ambiguity. Dr. Tsujimura is currently a member of IAEE and INFORMS.
