Scheduling optimization and risk analysis for energy-intensive industries under uncertain electricity market to facilitate financial planning

被引:5
作者
Gangwar, Sachin [1 ]
Fernandez, David
Pozo, Carlos [3 ]
Folgado, Ruben [2 ]
Jimenez, Laureano
Boer, Dieter [1 ]
机构
[1] Univ Rovira I Virgili, Dept Engn Mecan, Av Paisos Catalans 26, Tarragona 43007, Spain
[2] Messer Iber Gases SAU, Km 3-8, Vilaseca 43480, Tarragona, Spain
[3] Univ Rovira I Virgili, Dept Engn Quim, Av Paisos Catalans 26, Tarragona 43007, Spain
关键词
Uncertainty; Optimization; Scheduling; Spot market forecast; Risk analysis; energy -intensive industry; OF-THE-ART; FRAMEWORK; CHALLENGES; MANAGEMENT; OPERATION; SYSTEMS; MODEL;
D O I
10.1016/j.compchemeng.2023.108234
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The planning of energy-intensive processes is intrinsically uncertain due to their dependence on the volatile energy market, with scheduling having a vast impact on the final production cost of these plants. Traditional stochastic methods are mathematically very complex, which translates into a significant computational effort that might prevent a timely response to varying electricity prices. To encounter this uncertainty, we develop a reliable hybrid simulation-optimization approach for optimizing the production plant scheduling, combining scenario analysis with risk analysis. The proposed methodology is demonstrated with real data from a cryogenic air separation plant in Tarragona (Spain). This approach also informs decision-makers about risk or expected shortfall associated with the implied scenario. The generic methodology used here can be easily adapted to schedule facilities in other energy-intensive sectors such as cement, metallurgy or pulp and paper.
引用
收藏
页数:17
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