Use, Operation and Maintenance of Renewable Energy Systems
Autor: | Miguel Sanz Bobi |
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EAN: | 9783319032245 |
eBook Format: | |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 09.05.2014 |
Untertitel: | Experiences and Future Approaches |
Kategorie: | |
Schlagworte: | Biogas Plant Feasibility LCA Technique Low Cost Hybrid Systems Maintenance Methods in Wind Turbines Maintenance in Solar Power Plants Off-Shore Wind Energy Photovoltaic Solar Energy RES Generation Renewable Energy Systems Smart Cities |
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This book addresses the use, operation and maintenance of new renewable energy systems, taking into account their integration in the current electrical markets and in the new emergent uses of energy. The book is based on practical experiences which present different perspectives about what occurs once an energy production plant based on sources of renewable energy is in production. Questions to be addressed include: how the energy produced is integrated into the current system of energy production, what is its consideration in the electrical market, what the impact is on society, how differential the strategies of operation and maintenance are with respect to conventional systems of energy production, etc.
Dr. Miguel A. Sanz-Bobi has been an IEEE Senior member since 2008. He is a Professor at the Computer Science Department and also Researcher at the Institute for Research and Technology (IIT) both within the Engineering School of the Comillas Pontifical University, Madrid (Spain). He divides his time between teaching and research in the Artificial Intelligence field applied to diagnosis and maintenance of industrial processes. He has been the main researcher in more than 45 industrial projects over the last 25 years related to the diagnosis in real-time of industrial processes, incipient detection of anomalies based on models, knowledge acquisition and representation, reliability and predictive maintenance. All these projects have been based on a combination of artificial intelligence, new information technologies and data mining techniques.
Dr. Miguel A. Sanz-Bobi has been an IEEE Senior member since 2008. He is a Professor at the Computer Science Department and also Researcher at the Institute for Research and Technology (IIT) both within the Engineering School of the Comillas Pontifical University, Madrid (Spain). He divides his time between teaching and research in the Artificial Intelligence field applied to diagnosis and maintenance of industrial processes. He has been the main researcher in more than 45 industrial projects over the last 25 years related to the diagnosis in real-time of industrial processes, incipient detection of anomalies based on models, knowledge acquisition and representation, reliability and predictive maintenance. All these projects have been based on a combination of artificial intelligence, new information technologies and data mining techniques.