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3000. Operational optimization of energy flows in energy-based industrial symbiosis
Invited abstract in session TC-22: Stochastic models in energy systems planning and operations, stream Energy Management.
Tuesday, 12:30-14:00Room: 81 (building: 116)
Authors (first author is the speaker)
1. | Daniela Guericke
|
Department of Industrial Engineering and Business Information Systems, University of Twente | |
2. | Alessio Trivella
|
Industrial Engineering and Business Information Systems, University of Twente | |
3. | Devrim Murat Yazan
|
Department of Industrial Engineering and Business Information Systems, University of Twente |
Abstract
Industrial symbiosis (IS) is a concept of circular economy, where one company utilizes waste, residue, or by-products of another company to replace otherwise needed resources. Companies can also engage in energy-based IS. Here they either utilize waste energy streams directly in energy cascades, or they use waste products for fuel replacement and bioenergy production. Examples are the utilization of waste heat from industrial processes in district heating systems or the usage of industrial or urban waste for energy production. The concept of energy-based IS is often applied in so called hubs for circularity (H4C), i.e., industrial parks where co-located companies collaborate to close energy and resource loops. In this work, we present a modelling approach to optimize the operational planning of the energy flows in a H4C utilizing energy-based IS. Since the waste (energy) streams are by-products of other main production processes, they are not plannable and, therefore, uncertain and volatile. To address this uncertainty, we apply stochastic programming. We present results for a case study using industrial and public data and input from literature. In our experiments, we investigate the benefits of energy-based IS for the energy cost and energy mix of the hub.
Keywords
- OR in Energy
- Stochastic Models
Status: accepted
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