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Hybrid Systems and Multi-energy Networks for the Future Energy Internet [Minkštas viršelis]

(Tsinghua University, China), (Tsinghua Universit, China), (Fuzhou University, China)
  • Formatas: Paperback / softback, 248 pages, aukštis x plotis: 229x152 mm, weight: 360 g, Approx. 100 illustrations; Illustrations, unspecified
  • Išleidimo metai: 29-Aug-2020
  • Leidėjas: Academic Press Inc
  • ISBN-10: 0128191848
  • ISBN-13: 9780128191842
Kitos knygos pagal šią temą:
Hybrid Systems and Multi-energy Networks for the Future Energy InternetDidesnis paveikslėlis
  • Formatas: Paperback / softback, 248 pages, aukštis x plotis: 229x152 mm, weight: 360 g, Approx. 100 illustrations; Illustrations, unspecified
  • Išleidimo metai: 29-Aug-2020
  • Leidėjas: Academic Press Inc
  • ISBN-10: 0128191848
  • ISBN-13: 9780128191842
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780128191842.html
Raktažodžiai:

Hybrid Systems and Multi-energy Networks for the Future Energy Internet provides the general concepts of hybrid systems and multi-energy networks, focusing on the integration of energy systems and the application of information technology for energy internet. The book gives a comprehensive presentation on the optimization of hybrid multi-energy systems, integrating renewable energy and fossil fuels. It presents case studies to support theoretical background, giving interdisciplinary prospects for the energy internet concept in power and energy. Covered topics make this book relevant to researchers and engineers in the energy field, engineers and researchers of renewable hybrid energy solutions, and upper level students.

  • Focuses on the emerging technologies and current challenges of integrating multiple technologies for distributed energy internet
  • Addresses current challenges of multi-energy networks and case studies supporting theoretical background
  • Includes a transformative understanding of future concepts and R&D directions on the concept of the energy internet
Acknowledgments ix
1 Introduction
1.1 World energy
1(2)
1.2 Electricity
3(1)
1.3 Renewable energy
4(1)
1.4 Carbon dioxide emission
5(2)
1.5 Summary
7(2)
References
7(2)
2 Distributed hybrid system and prospect of the future Energy Internet
2.1 Introduction
9(3)
2.2 Topology of distributed hybrid systems
12(18)
2.2.1 Energy generation subsystem
12(3)
2.2.2 Energy storage subsystem
15(9)
2.2.3 Energy recovery subsystem
24(3)
2.2.4 Energy end-use subsystem
27(3)
2.2.5 Connection and interaction
30(1)
2.3 Scales of distributed hybrid systems
30(3)
2.3.1 Grid-connected DHS
30(2)
2.3.2 Micro-grid DHS
32(1)
2.3.3 Islanded DHS
32(1)
2.4 Distributed energy networks
33(1)
2.5 Prospect of the future Energy Internet
34(1)
2.6 Summary
35(6)
References
36(5)
3 Bridging a bi-directional connection between electricity and fuels in hybrid multienergy systems
3.1 Introduction
41(1)
3.2 Fuel cells for energy generation
42(21)
3.2.1 Fuel cell efficiency and classification
43(5)
3.2.2 Proton exchange membrane fuel cell
48(1)
3.2.3 Alkaline fuel cell
49(1)
3.2.4 Solid oxide fuel cell
50(3)
3.2.5 Fuel cells fueled with diverse fuels
53(2)
3.2.6 Direct liquid fuel cells
55(3)
3.2.7 Direct carbon fuel cells
58(3)
3.2.8 Direct flame fuel cells
61(2)
3.3 Power-to-gas or power-to-liquid for energy storage
63(12)
3.3.1 Electrolyzers
64(6)
3.3.2 Power-to-gas
70(4)
3.3.3 Power-to-liquid
74(1)
3.4 Reversible fuel cells
75(4)
3.5 Summary
79(6)
References
79(6)
4 High-efficiency hybrid fuel cell systems for vehicles and micro-CHPs
4.1 Introduction
85(1)
4.2 Hybrid fuel cell/battery vehicle systems
86(14)
4.2.1 PEMFC-based fuel cell vehicle systems
87(8)
4.2.2 SOFC-based fuel cell vehicle systems
95(5)
4.3 Fuel cell-based micro CHP or CCHP systems
100(8)
4.3.1 Basic schematic diagram of fuel cell-based micro-CHP or CCHP systems
101(2)
4.3.2 Direct flame solid oxide fuel cell for micro-CHP or CCHP systems
103(2)
4.3.3 Costs of fuel cell-based micro-CHP systems
105(3)
4.4 Hybrid fuel cell vehicle: Mobile distributed energy system
108(2)
4.5 Summary
110(3)
References
110(3)
5 Stabilization of intermittent renewable energy using power-to-X
5.1 Introduction
113(1)
5.2 Power-to-gas systems
114(16)
5.2.1 Power-to-H2 for hydrogen production
114(6)
5.2.2 Power-to-syngas via H2O/CO2 co-electrolysis
120(4)
5.2.3 Power-to-methane for integrating with the natural gas networks
124(6)
5.3 Power-to-liquid systems
130(9)
5.3.1 Power-to-methanol
130(4)
5.3.2 Power-to-F-T liquid fuels
134(5)
5.4 Summary
139(2)
References
139(2)
6 Ammonia: a clean and efficient energy carrier for distributed hybrid system
6.1 Introduction
141(2)
6.2 Ammonia-based energy roadmap
143(2)
6.3 Current interest and projects on ammonia-based energy vector
145(3)
6.3.1 Ammonia price
145(1)
6.3.2 Effectiveness of ammonia-based system
146(1)
6.3.3 Ammonia-based energy projects
147(1)
6.4 Hybrid systems for ammonia production
148(10)
6.4.1 System schematic and flow charts
149(4)
6.4.2 Energy efficiency and economic analysis
153(5)
6.5 Ammonia-fueled hybrid systems
158(15)
6.5.1 Ammonia-fueled engines
160(2)
6.5.2 Ammonia-to-hydrogen
162(3)
6.5.3 Indirect ammonia fuel cells
165(7)
6.5.4 Direct ammonia fuel cells
172(1)
6.6 Summary
173(6)
References
173(6)
7 Power balance and dynamic stability of a distributed hybrid energy system
7.1 Introduction
179(1)
7.2 Dynamic system simulation platform
180(10)
7.2.1 Model library
180(10)
7.3 Renewable power integration and power balance
190(10)
7.3.1 Evaluation of the key indicators
190(1)
7.3.2 Impact of renewable power integration
191(1)
7.3.3 Dynamic operation strategies
192(5)
7.3.4 Co-generation of electricity, heat and gas
197(3)
7.4 Novel criterion for distributed hybrid systems
200(5)
7.4.1 Application to evaluate the impact of renewable power integration
201(2)
7.4.2 Application to detect energy storage capacity
203(1)
7.4.3 Application to evaluate energy storage strategies
204(1)
7.5 Summary
205(2)
References
206(1)
8 Applying information technologies in a hybrid multi-energy system
8.1 Why information technologies are needed?
207(1)
8.2 Block chain and energy transaction
208(2)
8.3 Energy big data and cloud computing
210(4)
8.3.1 Definition of big data and cloud computing
210(1)
8.3.2 Big data and cloud computing architecture
211(2)
8.3.3 Typical application scenarios
213(1)
8.4 Internet of things applications
214(3)
References
215(2)
9 Application and potential of the artificial intelligence technology
9.1 Smart energy
217(3)
9.2 Prediction for energy Internet
220(6)
9.3 Control and optimization based on artificial algorithm
226(4)
9.4 Swarm intelligence for complex energy networks
230(5)
References
234(1)
Index 235
Yu Luo, Associate Professor, National Engineering Research Center of Chemical Fertilizer Catalyst, Fuzhou University. His research interests are distributed energy network systems, CHP systems, flame fuel cells and exergy analysis. Yixiang Shi, Associate Professor, Department of Energy and Power Engineering, Tsinghua University. His research interests are Reaction mechanism and multi-scale modeling of solid oxide cells, Solid oxide electrolyte direct carbon and direct flame fuel cells, Elevated temperature CO2 adsorption separation and electrochemical conversion. Ningsheng Cai, Professor, Department of Energy and Power Engineering, Tsinghua University. His research interests are reaction kinetics, chemical engineering, electrocatalysis and duel cells.