EnICO – Energieeffiziente IndustrieClusterOptimierung
Elektrische Energiesysteme, Power Management, Leistungselektronik, elektrische Maschinen und Antriebe
Energieverfahrenstechnik
Zusammenfassung der Projektergebnisse
Within eco-industrial parks (EIP), factories engage in mutual interaction through the flow of materials and energy. By modelling the material and energy flow within an eco-industrial park, we gain a comprehensive understanding of how resources circulate. This understanding not only provides strategic insights but also enables the identification of optimization opportunities, fostering more efficient resource utilization, waste reduction, and significant cost savings. In this project, we utilized discrete event simulation to model the material and energy flow within an eco-industrial park. Subsequently, this designed method was applied to simulate a virtual, exemplary industrial park. Following the simulation, optimization work for material and energy was carried out within this virtual park. The modelling of industrial parks comprised three essential elements: park members (usually factories), material flow, and energy flow. The factories were simulated using input and output models, integrating inventory management with designated safety levels and target levels for each material type. The production process considered capacity variations, ensuring a realistic representation. Material flows followed specific protocols dictating the movement of materials within the system, including pushing, purchasing, and ordering. To illustrate the energy flow within the park, we integrated a combined heat and power plant. The power station was designed to efficiently utilize the disposed waste generated by other park members, converting it into both heat and power for the entire park. Furthermore, for the sake of modelling and representation, the power consumption is structured and modelled in a discrete manner. Subsequently, we applied this method to simulate a sample industrial park, comprising six factories and one power plant. To handle scenarios where a single material is shared among multiple customer factories, a diverse set of dispatching policies was developed. We devised two methods to optimize energy utilization within the park and to guarantee the attainment of production targets among its members. The first method involves the knapsack approach, where customers are selectively chosen to maximize energy utilization. The second method addresses this optimization challenge by formulating it into a Constraint Programming (CP) model. The IBM ILOG CPLEX CP solver engine was employed to solve this intricate problem. We conducted a comparative analysis to assess and compare the results obtained through the CP model. In the progress report section, we will begin by providing an overview of the background and objectives of this project. Following that, we will clarify the deviations from the original concept. Subsequently, we will detail the completed work in three primary segments, covering material flow simulation and optimization, energy flow simulation and optimization, and mixed production and energy optimization.
Projektbezogene Publikationen (Auswahl)
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Ein Kennzahlensystem zur systematischen Bewertung von Simulationsergebnissen als Grundlage zur energieeffizienten Industrieclusteroptimierung. Logistics Journal: Proceedings, Vol. 2022
Vollack, B.; Kühn, M. & Schmidt, T.
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Evaluation of Government Incentive Policy on Industrial Waste Utilization by Agent-based Simulation of Industrial Symbiosis Network, EUROSIM2023
Xie, S.; Zhang, T.; Uhlig, T. & Rose, O.
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Mixed energy and production scheduling in an Eco-industrial park. Accepted for the 2024 Winter Simulation Conference and for publication in the WSC 2024 Proceedings
Xie, S.; Zhang, T.; Vollack, B.; Uhlig, T. & Rose, O.
