Description
Stochastic Control in Energy, Environmental and Resource Management Applications 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, the book 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. It bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealized solutions. It does so by using stochastic modeling and control theory to foster balance between the environment and humanity.- Presents comprehensive mathematical foundations, formulas, and practical applications of modern stochastic control theory, with a specific emphasis on its relevance to resource and environmental management- Unites the expertise of researchers hailing from various fields, including agriculture, hydraulic engineering, environmental engineering, and economics- Real-world applications are illustrated through in-depth case studies, utilizing both collected data and publicly accessible information sources
Table of Contents
1. Introduction2. Preliminaries3. Surface water quantity and quality4. Uncertainty and risk modelling of surface waters5. Mathematical modelling of fish migration6. Harvesting problem of fishery resources7. Algae detachment dynamics and sediment replenishment8. Crop and vegetation management from mechanistic viewpoints9. Real option approach for energy market10. Clean energy generation11. Conclusions
