Optimal industrial flexibility scheduling based on generic data format

Bahmani, Ramin; Stiphoudt, Christine van; S, Menci; Schöpf, Michael; Fridgen, Gilbert

doi:10.1186/s42162-022-00198-4

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…Additionally, a standardized data model is not used, which makes it a use-case-specific solution. In contrast, Bahmani et al [13] show that energy-flexible production planning based on a generic data model and taking dependencies into account is possible. However, its functionality is only shown in synthetic use cases.…”

Section: Related Workmentioning

confidence: 95%

Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply

et al. 2023

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The following paper examines the practicality of a methodical approach for energy-flexible and energy-optimal operation in the field of metal-cutting production. The analysis is based on the example of a grinding machine and its central cooling-supply system. In the first step, an energy-flexibility data model is built for each subsystem, which describes energy flexibility potentials generically. This is then extended to enable combined energy cost-optimal production planning. As a basis for the links between the data model representations, the cold flows between the subsystems are modeled using parameter-estimation methods, which have a mean absolute error of only 2.3 percent, making the subsequent installation of heat meters unnecessary. Based on the presented approach, the results successfully validate the possibility of energy-flexible cost-optimal and sensor-reduced production planning by reducing energy costs by 6.6 percent overall and 1.9 percent per workpiece produced.

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Section: Related Workmentioning

confidence: 95%

Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply

et al. 2023

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“…The second class represents a "dependency" industrial machines might have. Industrial flexibility can get highly complex as many production systems involve several machines and follow a certain logic for their operation which creates dependencies as expressed in [28]. For instance, some key/value pairs include but are not limited to the trigger flexibility and the amount of times it can be activated.…”

Section: Dimensionsmentioning

confidence: 99%

“…Companies can adjust their energy consumption to align with the availability of renewable energy, thereby reducing CO 2 emissions. Moreover, they can manage fluctuating electricity prices for optimal cost efficiency using the service created by Bahmani et al [28].…”

Section: Benefits Following Platform Adoptionmentioning

confidence: 99%

Energy Synchronization Platform Concept to Enable and Streamline Automated Industrial Demand Response

Stiphoudt,

Menci,

Kaymakci

et al. 2024

Preprint

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The industrial sector consumes a large amount of electricity, making it an ideal candidate for Demand response (DR) flexibility in modern power systems. However, current solutions for industrial DR are limited to individual cases, services and platforms, preventing companies from exploring their complete flexibility potential. Addressing this, we introduce the Energy synchronization platform (ESP), a digital integration platform concept to enable and streamline automated industrial DR. This paper outlines the ESP's conceptual architecture, components, and operational interactions, highlighting the benefits and challenges faced in a small-scale demonstrator consisting of three industrial companies.

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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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Optimal industrial flexibility scheduling based on generic data format

Cited by 7 publications

References 27 publications

Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply

Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply

Energy Synchronization Platform Concept to Enable and Streamline Automated Industrial Demand Response

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

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