Selection of pure and binary working fluids for high-temperature heat pumps : a financial approach
- Author
- Elias Vieren (UGent) , Toon Demeester (UGent) , Wim Beyne (UGent) , Martin Pihl Andersen, Brian Elmegaard, Alessia Arteconi, Michel De Paepe (UGent) and Steven Lecompte (UGent)
- Organization
- Project
- Abstract
- High-temperature heat pumps are increasingly being recognized for decarbonizing industrial heat supply up to 200 °C. In the open literature, the operating conditions, working fluids and configurations of high-temperature heat pumps are typically optimized for achieving a maximum Coefficient of Performance (COP). This work however presents a method that optimizes the operating conditions, working fluid and configuration of the heat pump, based on a combined financial and technical appraisal. In this regard a financial model to calculate the levelized cost of heat (LCOH) of a heat pump unit is developed. The model screens a large set of working fluids and therefore allows for subcritical, transcritical and supercritical operation and includes (zeotropic) binary mixtures. The methodology is applied to a large set of generic temperature profiles, with process temperatures between 160 °C and 200 °C and heat source temperatures between 80 °C and 120 °C. The results indicate that designing a heat pump solely based on maximum COP may lead to a sub-optimal financial solution. Overall, binary mixtures, either zeotropic or azeotropic, of natural working fluids often performed best. The benefits of zeotropic mixtures are twofold: improved temperature matching and flexibility in their thermophysical properties. However, for industrial processes with high temperature glides, pure fluids operating in the transcritical regime proved to be the most promising. The study also highlights the sensitivity of the financial performance to the electricity price, annual operating hours and heating capacity.
- Keywords
- Heat pump,, optimization, Financial, Techno-economic, ENERGY-STORAGE, OPTIMIZATION, PERFORMANCE, High -temperature heat pump, Optimization, Zeotropic mixture, Transcritical
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01J08Q6CGJ58WBCYJEPK8YHGYC
- MLA
- Vieren, Elias, et al. “Selection of Pure and Binary Working Fluids for High-Temperature Heat Pumps : A Financial Approach.” APPLIED THERMAL ENGINEERING, vol. 252, 2024, doi:10.1016/j.applthermaleng.2024.123615.
- APA
- Vieren, E., Demeester, T., Beyne, W., Pihl Andersen, M., Elmegaard, B., Arteconi, A., … Lecompte, S. (2024). Selection of pure and binary working fluids for high-temperature heat pumps : a financial approach. APPLIED THERMAL ENGINEERING, 252. https://doi.org/10.1016/j.applthermaleng.2024.123615
- Chicago author-date
- Vieren, Elias, Toon Demeester, Wim Beyne, Martin Pihl Andersen, Brian Elmegaard, Alessia Arteconi, Michel De Paepe, and Steven Lecompte. 2024. “Selection of Pure and Binary Working Fluids for High-Temperature Heat Pumps : A Financial Approach.” APPLIED THERMAL ENGINEERING 252. https://doi.org/10.1016/j.applthermaleng.2024.123615.
- Chicago author-date (all authors)
- Vieren, Elias, Toon Demeester, Wim Beyne, Martin Pihl Andersen, Brian Elmegaard, Alessia Arteconi, Michel De Paepe, and Steven Lecompte. 2024. “Selection of Pure and Binary Working Fluids for High-Temperature Heat Pumps : A Financial Approach.” APPLIED THERMAL ENGINEERING 252. doi:10.1016/j.applthermaleng.2024.123615.
- Vancouver
- 1.Vieren E, Demeester T, Beyne W, Pihl Andersen M, Elmegaard B, Arteconi A, et al. Selection of pure and binary working fluids for high-temperature heat pumps : a financial approach. APPLIED THERMAL ENGINEERING. 2024;252.
- IEEE
- [1]E. Vieren et al., “Selection of pure and binary working fluids for high-temperature heat pumps : a financial approach,” APPLIED THERMAL ENGINEERING, vol. 252, 2024.
@article{01J08Q6CGJ58WBCYJEPK8YHGYC,
abstract = {{High-temperature heat pumps are increasingly being recognized for decarbonizing industrial heat supply up to 200 °C. In the open literature, the operating conditions, working fluids and configurations of high-temperature heat pumps are typically optimized for achieving a maximum Coefficient of Performance (COP). This work however presents a method that optimizes the operating conditions, working fluid and configuration of the heat pump, based on a combined financial and technical appraisal. In this regard a financial model to calculate the levelized cost of heat (LCOH) of a heat pump unit is developed. The model screens a large set of working fluids and therefore allows for subcritical, transcritical and supercritical operation and includes (zeotropic) binary mixtures. The methodology is applied to a large set of generic temperature profiles, with process temperatures between 160 °C and 200 °C and heat source temperatures between 80 °C and 120 °C. The results indicate that designing a heat pump solely based on maximum COP may lead to a sub-optimal financial solution. Overall, binary mixtures, either zeotropic or azeotropic, of natural working fluids often performed best. The benefits of zeotropic mixtures are twofold: improved temperature matching and flexibility in their thermophysical properties. However, for industrial processes with high temperature glides, pure fluids operating in the transcritical regime proved to be the most promising. The study also highlights the sensitivity of the financial performance to the electricity price, annual operating hours and heating capacity.}},
articleno = {{123615}},
author = {{Vieren, Elias and Demeester, Toon and Beyne, Wim and Pihl Andersen, Martin and Elmegaard, Brian and Arteconi, Alessia and De Paepe, Michel and Lecompte, Steven}},
issn = {{1359-4311}},
journal = {{APPLIED THERMAL ENGINEERING}},
keywords = {{Heat pump,,optimization,Financial,Techno-economic,ENERGY-STORAGE,OPTIMIZATION,PERFORMANCE,High -temperature heat pump,Optimization,Zeotropic mixture,Transcritical}},
language = {{eng}},
pages = {{16}},
title = {{Selection of pure and binary working fluids for high-temperature heat pumps : a financial approach}},
url = {{http://doi.org/10.1016/j.applthermaleng.2024.123615}},
volume = {{252}},
year = {{2024}},
}
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