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Record Nr. |
UNINA9910337590303321 |
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Titolo |
Robust Energy Procurement of Large Electricity Consumers / / edited by Sayyad Nojavan, Mahdi Shafieezadeh, Noradin Ghadimi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (256 pages) |
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Disciplina |
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Soggetti |
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Energy policy |
Renewable energy resources |
Energy systems |
Energy storage |
Power electronics |
Energy Policy, Economics and Management |
Renewable and Green Energy |
Energy Systems |
Energy Storage |
Power Electronics, Electrical Machines and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter1: The concept of large consumer -- Chapter2: Deterministic based energy procurement -- Chapter3: Stochastic based energy procurement -- Chapter4: Robust optimization based energy procurement -- Chapter5: Risk-based energy procurement via IGDT -- Chapter6: Energy procurement via hybrid robust-stochastic approach -- Chapter7: Energy procurement via hybrid IGDT-stochastic approach -- Chapter8: Robust energy procurement under time-of-use pricing -- Chapter9: Robust energy procurement under real-time pricing -- Chapter10: Hybrid heating and power energy procurement -- Chapter11: Hybrid cooling, heating and power energy procurement -- Chapter12: A cost and environmental based energy procurement. |
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Sommario/riassunto |
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This book identifies the challenges faced by large electricity consumers when they use several sources to procure their energy. The huge |
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penetration of distributed energy resources and the intermittent nature of renewables can put the operations of the large electricity consumer at risk. The book discusses the different types of energy sources including the pool market, bilateral contracts, electrical vehicles, energy storage systems, and demand response programs in detail and presents solutions for robust and risk based scheduling. The author provides models for determining and considering uncertainties and optimal bidding strategies. The book is useful to engineers and students involved in the integration of various energy types as well as those working in state and federal governmental organizations who regulate different aspects of electricity market operation and planning. Presents solutions for robust and risk based scheduling; Discusses the operation and planning of energy storage systems; Presents the most-up-to-date technological approaches to energy integration. |
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