Bi-objective minimization of environmental impact and cost in utility plants

► A methodology to minimize environmental impact and operating cost is presented. ► The operating conditions of a utility plant are selected. ► Different strategies are implemented to solve a bi-objective mixed-integer nonlinear programming problem. ► The economical valorization of the reduction of...

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Vydáno v:Computers & chemical engineering Ročník 35; číslo 8; s. 1478 - 1487
Hlavní autoři: Martínez, P., Eliceche, A.M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 10.08.2011
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ISSN:0098-1354, 1873-4375
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Abstract ► A methodology to minimize environmental impact and operating cost is presented. ► The operating conditions of a utility plant are selected. ► Different strategies are implemented to solve a bi-objective mixed-integer nonlinear programming problem. ► The economical valorization of the reduction of greenhouse gases emissions is evaluated. ► The Pareto points where this income compensates the increment in operating cost are identified. A methodology to minimize potential environmental impact and operating cost in the selection of the operating conditions of a steam and power plant is presented. A bi-objective mixed integer nonlinear programming problem is formulated and solved in GAMS. Different strategies are implemented successfully to generate the Pareto curve such as: minimum distance to the utopia point, ɛ-constraint, weighted sum and global criterion. An analysis of the Pareto curve allows the identification of two regions where it is cheaper and more expensive respectively, to reduce the potential environmental impact, providing relevant information to support a decision making process. The economical valorisation of greenhouse gases emissions reduction was also carried out, showing the region of the Pareto curve in which the income would compensate the increment in operating cost, leading to a reduction of the potential environmental impact with no extra cost.
AbstractList A methodology to minimize potential environmental impact and operating cost in the selection of the operating conditions of a steam and power plant is presented. A bi-objective mixed integer nonlinear programming problem is formulated and solved in GAMS. Different strategies are implemented successfully to generate the Pareto curve such as: minimum distance to the utopia point, E>-constraint, weighted sum and global criterion. An analysis of the Pareto curve allows the identification of two regions where it is cheaper and more expensive respectively, to reduce the potential environmental impact, providing relevant information to support a decision making process. The economical valorisation of greenhouse gases emissions reduction was also carried out, showing the region of the Pareto curve in which the income would compensate the increment in operating cost, leading to a reduction of the potential environmental impact with no extra cost.
► A methodology to minimize environmental impact and operating cost is presented. ► The operating conditions of a utility plant are selected. ► Different strategies are implemented to solve a bi-objective mixed-integer nonlinear programming problem. ► The economical valorization of the reduction of greenhouse gases emissions is evaluated. ► The Pareto points where this income compensates the increment in operating cost are identified. A methodology to minimize potential environmental impact and operating cost in the selection of the operating conditions of a steam and power plant is presented. A bi-objective mixed integer nonlinear programming problem is formulated and solved in GAMS. Different strategies are implemented successfully to generate the Pareto curve such as: minimum distance to the utopia point, ɛ-constraint, weighted sum and global criterion. An analysis of the Pareto curve allows the identification of two regions where it is cheaper and more expensive respectively, to reduce the potential environmental impact, providing relevant information to support a decision making process. The economical valorisation of greenhouse gases emissions reduction was also carried out, showing the region of the Pareto curve in which the income would compensate the increment in operating cost, leading to a reduction of the potential environmental impact with no extra cost.
Author Martínez, P.
Eliceche, A.M.
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Issue 8
Keywords Minimisation
Bi-objective
Utility plant
Environmental impact
Cost
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Snippet ► A methodology to minimize environmental impact and operating cost is presented. ► The operating conditions of a utility plant are selected. ► Different...
A methodology to minimize potential environmental impact and operating cost in the selection of the operating conditions of a steam and power plant is...
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SubjectTerms Air pollution
Bi-objective
Cost
Cost engineering
Economics
Environmental impact
Minimisation
Nonlinear programming
Operating costs
Pareto optimality
Reduction
Utility plant
Title Bi-objective minimization of environmental impact and cost in utility plants
URI https://dx.doi.org/10.1016/j.compchemeng.2011.05.003
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