Integration of Clean and Sustainable Energy Resources and Storage in Multi-Generation Systems Design, Modeling and Robust Optimization /
| 団体著者: | |
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| その他の著者: | , , |
| 要約: | X, 355 p. 157 illus., 143 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| 版: | 1st ed. 2020. |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-030-42420-6 |
| フォーマット: | 電子媒体 eBook |
目次:
- Definition of multi-generation systems.-Economic and environmental benefits of renewable energy sources in combined cooling, heating, potable water, hydrogen, and power generation systems
- Selection of cost-effective and energy-efficient storages with respect to uncertain nature of renewable energy resources and variations of demands
- Solar powered combined cooling, heating, potable water, hydrogen, and power generation systems with Application of ice storage/molten salt/batteries/electric and hydrogen vehicles
- Utilization of geothermal heat reservoirs of abandoned oil and gas wells for seawater purification and heat cool/hydrogen/power generation taking into account thermal energy storage systems such as molten salt
- Application of hydro potential in seawater desalination, hydrogen and power generation facilities without and with application of pumped storage
- Bio-fueled poly-generation of heat, power and fresh water production system considering advanced adiabatic compressed air energy storage
- Information gap decision theory for risk-aversion and risk-seeker decision making processes in solar multi-generation systems
- Monte Carlo simulations for sizing ice cold thermal energy storage in solar powered trigeneration microgrids
- Point estimation method for modeling intermittency of solar irradiations in molten salt integrated solar poly-generation plants
- Fuzzy scenario based stochastic programming approach for making robust decision in operation of biomass fired multi-generation plants
- Game theory application for finding optimal operating point of multi-production system under fluctuations of renewables and various load levels. .