LEADER 04351nam 22009373a 450 001 9910367569203321 005 20250203235435.0 010 $a9783039211197 010 $a3039211196 024 8 $a10.3390/books978-3-03921-119-7 035 $a(CKB)4100000010106054 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/55325 035 $a(ScCtBLL)247310d5-76d0-4db5-a1f7-497019217397 035 $a(OCoLC)1163828124 035 $a(EXLCZ)994100000010106054 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOptimisation Models and Methods in Energy Systems$fCarlos Henggeler Antunes 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (192 p.) 311 08$a9783039211180 311 08$a3039211188 330 $aChallenging 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. 610 $amixed integer linear programming 610 $afuzzy set theory 610 $astochastic programming 610 $amixed integer linear programing 610 $avariable renewable power 610 $ageneration efficiency 610 $aoptimization 610 $aflexibility option 610 $aportfolio analysis 610 $afirefighting 610 $asemi-mean-absolute deviation model 610 $acomponent outage 610 $aenergy network 610 $apredicted mean vote (PMV) 610 $ageneration expansion planning 610 $abuilding microgrid 610 $ademand side management 610 $astochastic robust optimization 610 $aoil storage plants 610 $along-term forecasting 610 $amulti-criteria decision making (MCDM) 610 $alife cycle cost 610 $agraph theory 610 $ascenario-based multistage stochastic programming 610 $aoptimal power generation mix 610 $aheating ventilation and air-conditioning (HVAC) 610 $aintermittent sources 610 $aelectric-power structure adjustment 610 $atechnique for the order of preference by similarity to the ideal solution (TOPSIS) 610 $aintegrated energy system 610 $aMarkov chain Monte Carlo 610 $anondominated sorting genetic algorithm (NSGA) 610 $adomino effect 610 $aenergy system management model 610 $aelectrical distribution systems 610 $amicrogrid operation 610 $ainfluence diagram 610 $anet demand 610 $awind power forecasting 610 $aenergy conservation and emissions reduction 610 $afeasible operation region 610 $ameshed topology 610 $aoccupancy-based control 610 $aislanded microgrids 610 $acombined heat and power 610 $amulti-objective optimization 610 $are-optimization and rescheduling 700 $aAntunes$b Carlos Henggeler$01326687 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910367569203321 996 $aOptimisation Models and Methods in Energy Systems$93037666 997 $aUNINA