Ausgangsbedingungen für die Vermarktung von Nachfrageflexibilität : Status-Quo-Analyse und Metastudie. 2 Fassung

Bertsch, Joachim; Fridgen, Gilbert; Sachs, Thomas; Schöpf, Michael; Schweter, Helena; Sitzmann, Amelie

doi:10.15495/epub_ubt_00004455

Cited by 5 publications

(1 citation statement)

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“…Therefore, prices for energy supply fluctuate, and the varying prices are partially transferred to the consumers [2]. Increasing incidental electricity costs as well as unclear governmental regulations are leading to a severe planning uncertainty for manufacturing companies [3]. Furthermore, the electricity price for industry is rising compared to the EU average and is particular high compared to the EU average especially within Germany (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning

et al. 2021

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The expansion of renewable energies and the concomitant compensatory measures, such as the expansion of the electricity grid, the installation of energy storage facilities, or the flexibilization of demand, lead to a more elaborated energy supply system. Furthermore, the technological development of small power plants has further progressed, and many novel technologies have achieved grid parity. For manufacturing companies, the integration of renewable generation plants at their own site therefore represents a promising strategy for being both technically independent of the electricity grid and autonomous of price policy decisions and volatile market prices. This paper outlines the existing decentralized, renewable power generation technologies, their energetic modeling, and a hybrid optimization methodology for their dimensioning that uses mixed integer linear programming (MILP) and linear programming (LP) problem formulation. Finally, the introduced dimensioning method is applied to an exemplary manufacturing company that is assumed to be in the central part of Germany and located in the metalworking sector. The company has an electricity demand of approximately 20,000 MWh/a. The optimization results in a maximum expansion of PV and the use of CHP to cover the base load leading to a promising energy cost reduction of almost 20%.

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Section: Introductionmentioning

confidence: 99%

Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning

et al. 2021

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Watt’s Next? Leveraging Process Flexibility for Power Cost Optimization

Hermann,

Rusche,

Moder

et al. 2024

Bus Inf Syst Eng

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The transition from fossil fuels to renewable energy sources poses major challenges for balancing increasingly weather-dependent power supply and demand. Although demand-side energy flexibility, offered particularly by industrial companies, is seen as a promising and necessary approach to address these challenges and realize benefits for companies, its implementation is not yet common practice. Often facing highly complex process landscapes and operational systems, process mining provides significant potential to increase transparency of actual process flows and to discover or reflect existing dependencies and interrelationships of activities, instances or resources. It facilitates the implementation of energy flexibility measures and enables the realization of monetary benefits associated with flexible process operation. This paper contributes to the successful integration of energy flexibility into process operations by presenting a design science research artifact called PM4Flex. This is a prescriptive process monitoring approach that uses linear programming to generate recommendations for pending process flows optimized under fluctuating power prices by utilizing established energy flexibility measures. Thereby, event logs and corresponding company- as well as process-specific constraints are considered. PM4Flex is demonstrated and evaluated based on its implementation as a software prototype, its application to exemplary data from two real-world processes exhibiting power cost savings of up to 75% compared to the original execution, and based on semi-structured expert interviews. PM4Flex provides new design knowledge at the interface of prescriptive process monitoring and the energy domain providing decision support to optimize industrial energy procurement costs.

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Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation

Borst¹,

Strobel²,

Kohne³

et al. 2021

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Ausgangsbedingungen für die Vermarktung von Nachfrageflexibilität : Status-Quo-Analyse und Metastudie. 2 Fassung

Cited by 5 publications

References 0 publications

Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning

Renewable On-Site Power Generation for Manufacturing Companies—Technologies, Modeling, and Dimensioning

Watt’s Next? Leveraging Process Flexibility for Power Cost Optimization

Investigating the Electrical Demand-Side Management Potential of Industrial Steam Supply Systems Using Dynamic Simulation

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