Massimo La Scala – författare

Handbook of Energy Economics and Policy: Fundamentals and Applications for Engineers and Energy Planners presents energy engineers and managers with analytical skills and concepts that enable them to apply simple economic logic to understand the interrelations between energy technologies, economics, regulation and governance of the industry. Sections cover the origins, types and measurement of energy sources, transportation networks, and regulatory and policy issues on electricity and gas at a global level, new economic and policy issues, including innovation processes in the energy industry and economic and policy implications. Final sections cover state-of-the-art methods for modeling and predicting the dynamics of energy systems.

Its unique approach and learning path makes this book an ideal resource for energy engineering practitioners and researchers working to design, develop, plan or deploy energy systems. Energy planners and policymakers will also find this to be a solid foundation on which to base decisions.

Presents key-concepts and their interrelation with energy technologies and systems in a clear way for ready application during planning and deployment of energy technologies and systems Includes global case studies covering a wide array of energy sources and regulatory models Explores methodologies for modeling and forecasting the impacts of energy technologies and systems, as well as their costs and possible business models

Handbook of Energy Economics and Policy: Fundamentals and Applications for Engineers and Energy Planners presents energy engineers and managers with analytical skills and concepts that enable them to apply simple economic logic to understand the interrelations between energy technologies, economics, regulation and governance of the industry. Sections cover the origins, types and measurement of energy sources, transportation networks, and regulatory and policy issues on electricity and gas at a global level, new economic and policy issues, including innovation processes in the energy industry and economic and policy implications. Final sections cover state-of-the-art methods for modeling and predicting the dynamics of energy systems.Its unique approach and learning path makes this book an ideal resource for energy engineering practitioners and researchers working to design, develop, plan or deploy energy systems. Energy planners and policymakers will also find this to be a solid foundation on which to base decisions.- Presents key-concepts and their interrelation with energy technologies and systems in a clear way for ready application during planning and deployment of energy technologies and systems- Includes global case studies covering a wide array of energy sources and regulatory models- Explores methodologies for modeling and forecasting the impacts of energy technologies and systems, as well as their costs and possible business models

This book addresses different algorithms and applications based on the theory of multiobjective goal attainment optimization. In detail the authors show as the optimal asset of the energy hubs network which (i) meets the loads, (ii) minimizes the energy costs and (iii) assures a robust and reliable operation of the multicarrier energy network can be formalized by a nonlinear constrained multiobjective optimization problem. Since these design objectives conflict with each other, the solution of such the optimal energy flow problem hasn’t got a unique solution and a suitable trade off between the objectives should be identified. A further contribution of the book consists in presenting real-world applications and results of the proposed methodologies  developed by the authors in  three research projects recently completed and characterized by actual implementation under an overall budget of about 23 million €.

This book addresses different algorithms and applications based on the theory of multiobjective goal attainment optimization. In detail the authors show as the optimal asset of the energy hubs network which (i) meets the loads, (ii) minimizes the energy costs and (iii) assures a robust and reliable operation of the multicarrier energy network can be formalized by a nonlinear constrained multiobjective optimization problem. Since these design objectives conflict with each other, the solution of such the optimal energy flow problem hasn’t got a unique solution and a suitable trade off between the objectives should be identified. A further contribution of the book consists in presenting real-world applications and results of the proposed methodologies  developed by the authors in  three research projects recently completed and characterized by actual implementation under an overall budget of about 23 million €.

Nonlinear Programming and Dynamic Optimization in Energy Systems contains the methodologies and technological solutions for energy system monitoring and control, from applications, to electricity smart grids and more unconventional approaches to multi-carrier systems. The book discusses optimizing the energy hub supply to produce an effective and reliable operation of the multicarrier energy network with tested algorithms to produce optimal energy flow. The authors include results obtained during an industrial research project on Smart Cities that was carried out in collaboration with utility companies and other academic, research, and industrial partners. Results are focused on assessing the impact of distributed generation, storage devices, electric vehicles, and smart appliances distributed to residential energy hubs. In addition, actual results on real-time control and optimal dispatch of a hybrid energy system designed for supplying power in isolated power systems are presented.