Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition

Hadera, Hubert; Ekström, Joakim; Sand, Guido; Mäntysaari, Juha; Harjunkoski, Iiro; Engell, Sebastian

doi:10.1016/j.compchemeng.2019.05.002

Cited by 19 publications

(14 citation statements)

References 142 publications

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“…The MILP-based model is used for both scheduling problems, while the minimum cost flow network model is used for energy cost optimization. High-quality solutions are obtained in a reasonable computational time [33]. The steelmaking process scheduling problem considering variable electricity prices is studied.…”

Section: Adjustment Strategymentioning

confidence: 99%

Planning and Scheduling for Industrial Demand-Side Management: State of the Art, Opportunities and Challenges under Integration of Energy Internet and Industrial Internet

et al. 2021

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Industrial power has a large load base and considerable adjustment potential. Enterprises with a high degree of automation and adjustable potential can automatically adjust the production status according to the peak load, frequency of the power grid and the demand of new energy consumption, so as to realize automatic demand response. This paper analyzes the opportunities and challenges of industrial demand response under the integration of Industrial Internet and Energy Internet. At the same time, the development direction of industrial demand response under the new situation, such as comprehensive demand response, adjustable load resources and other technical and policy aspects are prospected.

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Section: Adjustment Strategymentioning

confidence: 99%

Planning and Scheduling for Industrial Demand-Side Management: State of the Art, Opportunities and Challenges under Integration of Energy Internet and Industrial Internet

et al. 2021

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“…[61,71,72] minimized costs in different machine scheduling problems that depend on energy consumption costs, as well as penalties for exceeding a given power value. Penalty costs for load deviation were integrated in some places, such as in [73][74][75][76][77]. For example, [75] assumed that a production company predicts its load curve one day ahead and sends the forecast to the energy supplier.…”

Section: Economic Consideration Of Load Managementmentioning

confidence: 99%

Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme

2021

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Scarcity of resources, structural change during the further development of renewable energy sources, and their corresponding costs, such as increasing resource costs or penalties due to dirty production, lead industrial firms to adapt ecological actions. In this regard, research on energy utilization in production planning has received increased attention in the last years, resulting in a large number of research articles so far. With the paper at hand, we review the literature on energy-oriented production planning. The aim of this study is to derive similar core issues and related properties along energy-oriented models within hierarchical production planning. For this, we carry out a systematic literature review and analyze and synthesize 375 research articles. We classify the underlying literature with a novel two-dimensional classification scheme and identify three key topics and five frequently found characteristics, which are presented in detail throughout this article. Based on these results, we state several potentials for further research.

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“…This feature allows 22% of energy generation to contribute to the Mexico national requirements [37] and supply other areas such as the Central and Peninsular zones. In the Central Zone, the population density is around 899 inhabitants per km 2 . Big corporations established in this zone contribute to 27% of the country's gross domestic product (GDP) [38].…”

Section: Power Energy Generation In Mexicomentioning

confidence: 99%

“…Thus, within the electricity generation sector, different variables and parameters must be considered to enhance its preformance. Some of these considerations are the energy demand, the installed capacity, a plant's ability to ramp up or shut down quickly, and generation costs, among other things [1,2]. Studies based in stochastic techniques have been implemented to forecast the generation or demand for short, medium, and long term analysis [3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Power Generation Grids: A Case of Study in Eastern Mexico

López

Domínguez-Cruz

Salgado‐Tránsito

2021

MCA

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Optimization of energy resources is a priority issue for our society. An improper imbalance between demand and power generation can lead to inefficient use of installed capacity, waste of fuels, worse effects on the environment, and higher costs. This paper presents the preliminary results of a study of seventeen interconnected power generation plants situated in eastern Mexico. The aim of the research is to apply a linear programming model to find the system-optimal solution by minimizing operating costs for this grid of power plants. The calculations were made taking into account the actual parameters of each plant; the demand and production of energy were analyzed in four time periods of 6 h during a day. The results show the cost-optimal configuration of the current power infrastructure obtained from a simple implementation model in MATLAB® software. The contribution of this paper is to adapt a lineal progamming model for an electrical distribution network formed with different types of power generation technology. The study shows that fossil fuel plants, besides emitting greenhouse gases that affect human health and the environment, incur maintenance expenses even without operation. The results are a helpful instrument for decision-making regarding the rational use of available installed capacity.

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Integration of production scheduling and energy-cost optimization using Mean Value Cross Decomposition

Cited by 19 publications

References 142 publications

Planning and Scheduling for Industrial Demand-Side Management: State of the Art, Opportunities and Challenges under Integration of Energy Internet and Industrial Internet

Planning and Scheduling for Industrial Demand-Side Management: State of the Art, Opportunities and Challenges under Integration of Energy Internet and Industrial Internet

Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme

Optimization of Power Generation Grids: A Case of Study in Eastern Mexico

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