Optimisation Models and Methods in Energy Systems

• Hoofdauteur: Antunes, Carlos Henggeler (auth)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Onderwerpen: History of engineering & technology; mixed integer linear programming; fuzzy set theory; stochastic programming; mixed integer linear programing; variable renewable power; generation efficiency; optimization; flexibility option; portfolio analysis; firefighting; semi-mean-absolute deviation model; component outage; energy network; predicted mean vote (PMV); generation expansion planning; building microgrid; demand side management; stochastic robust optimization; oil storage plants; long-term forecasting; multi-criteria decision making (MCDM); life cycle cost; graph theory; scenario-based multistage stochastic programming; optimal power generation mix; heating ventilation and air-conditioning (HVAC); intermittent sources; electric-power structure adjustment; technique for the order of preference by similarity to the ideal solution (TOPSIS); integrated energy system; Markov chain Monte Carlo; nondominated sorting genetic algorithm (NSGA); domino effect; energy system management model; electrical distribution systems; microgrid operation; influence diagram; net demand; wind power forecasting; energy conservation and emissions reduction; feasible operation region; meshed topology; occupancy-based control; islanded microgrids; combined heat and power; multi-objective optimization; re-optimization and rescheduling
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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 o...