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Dynamic pricing of waste heat recovered from electrolyser systems in a multi-energy district
There has been a rapid acceleration in the expansion of electrolysis capacity in recent years. The previous year marked a record-breaking deployment of electrolysis technology [1]. Recovering waste heat from electrolysis and compression can improve the overall system efficiency. The integration of such waste heat into district heating systems has been investigated in literature [2], where levelized cost of heat has been used to value waste heat. However, given dynamic electricity price, time-varying hydrogen demand, potential provision of ancillary services to energy systems, time-varying thermal demand within the district heating network and the supply temperature level, the marginal cost of waste heat can vary during the day. In addition, base heat supply systems such as heat pumps are equipped to supply the heating demand. Therefore, the pricing of waste heat from a hydrogen-based system needs to be lower than the pricing of heat from heat pumps, to be accepted by consumers.
The key steps envisioned for the completion of the project are as follows:
1. Literature review on waste heat recovery and optimization-based market clearing (4 weeks);
2. Definition of case study district and definition of optimization problems (4 weeks);
3. Extend existing models using data collected from the move demonstrator at Empa [3] as well as from the literature (4 weeks);
4. Conduct numerical case studies to obtain the optimal operation and derive waste heat value (4 weeks);
5. Analysis of impact of waste heat recovery temperature on the waste heat recovery value (4 weeks);
6. Analyze results and report writing (4 weeks);
The key steps envisioned for the completion of the project are as follows: 1. Literature review on waste heat recovery and optimization-based market clearing (4 weeks); 2. Definition of case study district and definition of optimization problems (4 weeks); 3. Extend existing models using data collected from the move demonstrator at Empa [3] as well as from the literature (4 weeks); 4. Conduct numerical case studies to obtain the optimal operation and derive waste heat value (4 weeks); 5. Analysis of impact of waste heat recovery temperature on the waste heat recovery value (4 weeks); 6. Analyze results and report writing (4 weeks);
This project address the central research question: How could we dynamically value the waste heat from electrolysis and hydrogen compression under dynamic boundary conditions, supply temperature levels and alternative heat solutions?
This project address the central research question: How could we dynamically value the waste heat from electrolysis and hydrogen compression under dynamic boundary conditions, supply temperature levels and alternative heat solutions?
ThesisProposal.pdf
