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|b Springer Nature
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|b .B59 2020eb
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|a HCDD
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|a Bizon, Nicu.
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|a Optimization of the fuel cell renewable hybrid power systems /
|c Nicu Bizon.
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|a Cham :
|b Springer,
|c 2020.
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| 300 |
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|a 1 online resource (350 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Green Energy and Technology
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|a Print version record.
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|a Intro -- Foreword -- Preface -- Contents -- Abbreviations -- 1 Introduction -- 1.1 Sustainable Energy System Development Using Renewable Energy Sources and Hydrogen Infrastructure -- 1.2 Proton Exchange Membrane Fuel Cell System -- 1.3 Hybrid Power Systems -- 1.4 Research Directions in Hybrid Power Systems -- 1.5 Conclusion -- References -- 2 Hybrid Power Systems -- 2.1 Introduction -- 2.2 Hybrid Power System Architecture -- 2.3 Energy Storage System (ESS) -- 2.3.1 Hybrid ESS Topologies -- 2.3.2 Modeling the Semi-active Hybrid ESS Topology -- 2.3.3 Energy Storage Devices Technologies
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|a 2.3.4 Power Storage Devices Technologies -- 2.4 Proton Exchange Membrane Fuel Cell (PEMFC) System -- 2.4.1 Modeling the PEMFC System -- 2.4.2 Modeling the Fueling Regulators -- 2.4.3 Modeling the Compressor -- 2.5 Modeling the Renewable Energy Sources -- 2.5.1 Modeling the Wind Turbine -- 2.5.2 Modeling the Photovoltaic Panel -- 2.5.3 Modeling of the Renewable Power Profile -- 2.6 Modeling the Load Demand on the DC Bus -- 2.7 Modeling the Power Converters -- 2.8 The Performance Indicators Hybrid Power System -- 2.8.1 Performance Indicators of the PEMFC System
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|a 2.8.2 Performance Indicators of the Renewable Energy Sources -- 2.9 Objectives and Directions of Research for the Hybrid Power System -- 2.10 Conclusion -- References -- 3 Optimization Algorithms and Energy Management Strategies -- 3.1 Introduction -- 3.2 Energy Management Strategies -- 3.2.1 Load-Based Strategy -- 3.2.2 Power-Based Strategy -- 3.3 Optimization Algorithms -- 3.3.1 Performance of the Global Maximum Power Point Tracking Algorithms -- 3.3.2 Performance of the Global Maximum Efficiency Point Tracking Algorithms -- 3.3.3 Fuel Economy Algorithms
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|a 3.4 Fuel Economy Strategy Using Switching of the Fueling Regulators -- 3.4.1 Design for Fuel Economy -- 3.4.2 Fuel Economy -- 3.4.3 Discussion -- 3.5 Strategy to Mitigate Load Impulses and Low Frequency Power Ripples -- 3.5.1 Strategies Air-PFW and Fuel-PFW -- 3.5.2 HSS Design -- 3.5.3 HSS Control -- 3.5.4 HSS Behavior -- 3.6 Conclusion -- References -- 4 Global Extremum Seeking Algorithms -- 4.1 Introduction -- 4.2 Perturbed-Based Extremum Seeking Control -- 4.2.1 PESC Algorithms Designed for Global Search -- 4.2.2 Derivative-Based PESC Scheme for Global Search
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|a 4.2.3 Global PESC Scheme Based on Two Band-Pass Filters -- 4.3 Stability Analysis of the GaPESCbpf Scheme -- 4.4 Comparative Analysis of the Schemes GaPESC and GaPESCd -- 4.4.1 Modeling the GaPESC Scheme -- 4.4.2 Stability Model of the GaPESC Scheme -- 4.5 The Search Gradient Estimation -- 4.5.1 Case of the 1-Dimension (1D) Pattern -- 4.5.2 Case of the 2-Dimensions (2D) Pattern -- 4.6 Designing the GaPESC Scheme -- 4.6.1 Case of a Nonlinear System Modeled by a Multimodal Function -- 4.6.2 Case of a Nonlinear System with a Fast Dynamic Part
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|a 4.6.3 Case of a Nonlinear System with a Slow Dynamic Part
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|a Includes bibliographical references and index.
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|a This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.
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|a Hybrid power systems.
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|a Renewable energy sources.
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|a Hybrid power systems
|2 fast
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|a Renewable energy sources
|2 fast
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|i has work:
|a Optimization of the fuel cell renewable hybrid power systems (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGdyKqbPQTQM8JMJ7hF9Xd
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Bizon, Nicu.
|t Optimization of the Fuel Cell Renewable Hybrid Power Systems.
|d Cham : Springer, ©2020
|z 9783030402402
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| 830 |
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0 |
|a Green energy and technology.
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| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-40241-9
|y Click for online access
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|a SPRING-ENERGY2020
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|a 92
|b HCD
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