Optimum Choice of Energy System Configuration and Storages for a Proper Match between Energy Conversion and Demands
This Special Issue addresses the general problem of a proper match between the demands of energy users and the units for energy conversion and storage, by means of proper design and operation of the overall energy system configuration. The focus is either on systems including single plants or groups...
Format: | eBook |
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Language: | English |
Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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024 | 7 | |a 10.3390/books978-3-03928-037-7 |2 doi | |
040 | |a oapen |c oapen | ||
041 | 0 | |a eng | |
042 | |a dc | ||
720 | 1 | |a Toffolo, Andrea |4 aut | |
720 | 1 | |a Lazzaretto, Andrea |4 aut | |
245 | 0 | 0 | |a Optimum Choice of Energy System Configuration and Storages for a Proper Match between Energy Conversion and Demands |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
300 | |a 1 online resource (362 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
520 | |a This Special Issue addresses the general problem of a proper match between the demands of energy users and the units for energy conversion and storage, by means of proper design and operation of the overall energy system configuration. The focus is either on systems including single plants or groups of plants, connected or not to one or more energy distribution networks. In both cases, the optimum design and operation involve decisions about thermodynamic processes, about the type, number, design parameters of components/plants, and storage capacities, and about mutual interconnections and the interconnections with the distribution grids. The problem is absolutely general, encompassing design and operation of energy systems for single houses, groups of houses, industries, industrial districts, municipal areas, regions and countries. The presented papers show that similar approaches can be used in different applications, although a general standard has not been achieved yet. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |u https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a absorption refrigerator | ||
653 | |a absorption technology | ||
653 | |a advanced exergy-based analysis | ||
653 | |a battery storage | ||
653 | |a combined heat and power | ||
653 | |a compressed natural gas (CNG) | ||
653 | |a cycle configuration | ||
653 | |a design and operation optimization | ||
653 | |a distributed energy | ||
653 | |a district energy system | ||
653 | |a dynamic modelling | ||
653 | |a dynamic optimization | ||
653 | |a electricity demand | ||
653 | |a electricity production | ||
653 | |a energy storage | ||
653 | |a energy systems | ||
653 | |a exergy analysis | ||
653 | |a fleet of energy conversion and storage units | ||
653 | |a flowsheet synthesis | ||
653 | |a gas supply chain | ||
653 | |a hourly distribution | ||
653 | |a IEEE-RTS | ||
653 | |a integrated ship energy systems | ||
653 | |a intertemporal optimization | ||
653 | |a liquefied natural gas (LNG) | ||
653 | |a mathematical programming | ||
653 | |a mixed integer linear programming | ||
653 | |a Mixed-Integer NonLinear/Linear Programming (MINLP/MILP) | ||
653 | |a MONA | ||
653 | |a multi-energy systems | ||
653 | |a multi-objective optimization | ||
653 | |a oil palm | ||
653 | |a operating cost | ||
653 | |a optimization | ||
653 | |a optimization of energy systems design and operation | ||
653 | |a palm oil mills | ||
653 | |a palm oil residues | ||
653 | |a price estimation | ||
653 | |a Real Coded Genetic Algorithm (RCGA) | ||
653 | |a reliability | ||
653 | |a renewable energy systems | ||
653 | |a rolling-horizon | ||
653 | |a small-scale compressed-air energy storage (SS-CAES) | ||
653 | |a smart energy systems | ||
653 | |a smart power systems | ||
653 | |a solar energy | ||
653 | |a spatial analysis | ||
653 | |a supercritical CO2 | ||
653 | |a superstructure-based | ||
653 | |a superstructure-free | ||
653 | |a supply chains optimization | ||
653 | |a sustainability | ||
653 | |a synthesis | ||
653 | |a synthesis/design optimization | ||
653 | |a techno-economic analysis | ||
653 | |a thermal energy storage | ||
653 | |a thermal power plants | ||
653 | |a thermo-electric | ||
653 | |a uncertainties | ||
653 | |a uncertainty | ||
653 | |a value-added products | ||
653 | |a Violation Constraint-Handling (VCH) | ||
653 | |a wave energy | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/55341 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/1999 |7 0 |z Open Access: DOAB, download the publication |