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...
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Format: | Electronic Book Chapter |
Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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024 | 7 | |a 10.3390/books978-3-03928-037-7 |c doi | |
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042 | |a dc | ||
100 | 1 | |a Toffolo, Andrea |4 auth | |
700 | 1 | |a Lazzaretto, Andrea |4 auth | |
245 | 1 | 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 electronic resource (362 p.) | ||
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506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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 |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a techno-economic analysis | ||
653 | |a mixed integer linear programming | ||
653 | |a superstructure-free | ||
653 | |a thermal power plants | ||
653 | |a superstructure-based | ||
653 | |a compressed natural gas (CNG) | ||
653 | |a fleet of energy conversion and storage units | ||
653 | |a oil palm | ||
653 | |a spatial analysis | ||
653 | |a optimization | ||
653 | |a energy storage | ||
653 | |a small-scale compressed-air energy storage (SS-CAES) | ||
653 | |a distributed energy | ||
653 | |a Mixed-Integer NonLinear/Linear Programming (MINLP/MILP) | ||
653 | |a absorption refrigerator | ||
653 | |a uncertainties | ||
653 | |a electricity production | ||
653 | |a design and operation optimization | ||
653 | |a smart power systems | ||
653 | |a IEEE-RTS | ||
653 | |a smart energy systems | ||
653 | |a exergy analysis | ||
653 | |a palm oil residues | ||
653 | |a intertemporal optimization | ||
653 | |a supercritical CO2 | ||
653 | |a thermo-electric | ||
653 | |a integrated ship energy systems | ||
653 | |a dynamic optimization | ||
653 | |a sustainability | ||
653 | |a mathematical programming | ||
653 | |a cycle configuration | ||
653 | |a palm oil mills | ||
653 | |a energy systems | ||
653 | |a advanced exergy-based analysis | ||
653 | |a flowsheet synthesis | ||
653 | |a solar energy | ||
653 | |a reliability | ||
653 | |a multi-energy systems | ||
653 | |a uncertainty | ||
653 | |a hourly distribution | ||
653 | |a absorption technology | ||
653 | |a Real Coded Genetic Algorithm (RCGA) | ||
653 | |a thermal energy storage | ||
653 | |a optimization of energy systems design and operation | ||
653 | |a price estimation | ||
653 | |a value-added products | ||
653 | |a district energy system | ||
653 | |a electricity demand | ||
653 | |a Violation Constraint-Handling (VCH) | ||
653 | |a synthesis | ||
653 | |a synthesis/design optimization | ||
653 | |a liquefied natural gas (LNG) | ||
653 | |a supply chains optimization | ||
653 | |a rolling-horizon | ||
653 | |a dynamic modelling | ||
653 | |a renewable energy systems | ||
653 | |a battery storage | ||
653 | |a wave energy | ||
653 | |a MONA | ||
653 | |a operating cost | ||
653 | |a combined heat and power | ||
653 | |a multi-objective optimization | ||
653 | |a gas supply chain | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/1999 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/55341 |7 0 |z DOAB: description of the publication |