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Optimisation Models and Methods in Energy Systems


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Produktinformationen
cover
cover
Artikel-Nr.:
     5667A-9783039211180
Hersteller:
     MDPI
Herst.-Nr.:
     9783039211180
EAN/GTIN:
     9783039211180
Suchbegriffe:
Maschinenbau und Fertigungstechnik
Maschinenbau und Fertigungstechnik ...
allgemeine Technikbücher
allgemeine Technikbücher - englisch...
Challenging problems arise in all segments of energy industries--generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning. This book comprises nine papers addressing problems such as the selection of offshore wind farm locations, a model for the analysis of regional energy system management and emission reduction potential, the management of building microgrid networks in islanded mode considering adjustable power and component outages, the portfolio optimization of power generation assets, a graph theoretic approach to optimal firefighting in oil terminals, a university building test case for occupancy-based building automation, the prospects of a meshed electrical distribution system featuring large-scale variable renewable power, a generation expansion planning model for an integrated energy system considering feasible operation region and the generation efficiency of combined heat and power, and the consideration of wind power generation in Brazil's long-term energy planning model.
Weitere Informationen:
Author:
Carlos Henggeler Antunes
Verlag:
MDPI
Sprache:
eng
Weitere Suchbegriffe: maschinenbau und fertigungstechnik, multi-objective optimization; nondominated sorting genetic algorithm (NSGA); multi-criteria decision making (MCDM), multi-objective optimization, nondominated sorting genetic algorithm (NSGA), multi-criteria decision making (MCDM), technique for the order of preference by similarity to the ideal solution (TOPSIS), life cycle cost, scenario-based multistage stochastic programming, energy system management model, stochastic robust optimization, electric-power structure adjustment, energy conservation and emissions reduction
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