2013
DOI: 10.1016/j.energy.2012.12.003
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Multicriteria optimization of a distributed energy supply system for an industrial area

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Cited by 127 publications
(69 citation statements)
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“…This work was then extended by incorporating a sensitivity analysis on electricity prices toward the optimal configuration (Carvalho et al 2013). Similarly, Buoro et al (2013) developed a MOO approach to obtain the optimal structure, capacity and operational strategy of an industrial co-generation system. The MOO approach considers a weighted combination of annual costs (e.g.…”
Section: Integrated Approachesmentioning
confidence: 99%
“…This work was then extended by incorporating a sensitivity analysis on electricity prices toward the optimal configuration (Carvalho et al 2013). Similarly, Buoro et al (2013) developed a MOO approach to obtain the optimal structure, capacity and operational strategy of an industrial co-generation system. The MOO approach considers a weighted combination of annual costs (e.g.…”
Section: Integrated Approachesmentioning
confidence: 99%
“…Net Present Value [4], [6], [7], [11], [12], [13], [14], [15], [16], [17], [18] Internal Rate of Return [4], [15], [16], [17] Pay Back Period [3], [4], [7], [8], [9], [12], [14], [15], [16], [17], [18], [19], [20], [21] Profitability Index [17] Return on Investment [4] …”
Section: Considered Indicator Referencesmentioning
confidence: 99%
“…To this aim, Buoro et al [9] analysed a supply network composed by micro-CHP, solar plant and thermal storage facilities. They proposed a multi-criteria optimization model based on linear programming techniques, in order to minimize an objective function which ensures the fulfilment of specific goals.…”
Section: Introductionmentioning
confidence: 99%
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“…The authors have evaluated the benefits of the flexibility of power to heat unit to gain the economic incentives during low electricity price hours. Buoro et al in [23] have evaluated a distributed energy supply system consisting of a CHP plant with PV and thermal storage by using mixed integer linear programming (MILP). Pareto fronts have been applied to the results to find the most optimized solution.…”
Section: Introductionmentioning
confidence: 99%