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Volumetric Heating Capacity (VHC) Regression Parameters for 48 Refrigerants

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DataCite Commons2026-03-27 更新2026-04-25 收录
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https://daks.uni-kassel.de/handle/123456789/699
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This repository provides the fourth-order Hamilton-Allen regression parameters for calculating the volumetric heating capacity (VHC) of 48 refrigerants as a function of heat source and sink temperatures. The parameters are derived from the study:<br>Large-Scale Heat Pumps: Development of a Broadly Applicable, Easy-to-Use Heating Capacity Model Jesper, Mateo; Hoffmann, Chris René; Pag, Felix; Vajen, Klaus; Jordan, Ulrike Preprint available at: http://dx.doi.org/10.2139/ssrn.5082708 The regression model enables simple, accurate, and broadly applicable estimates of VHC for large-scale heat pump applications, including district heating and industrial processes. The parameters are validated with a coefficient of determination (R²) exceeding 0.998 for all refrigerants, ensuring high reliability for preliminary design and feasibility studies. Key Features:<br>- Coefficients for fourth-order Hamilton-Allen polynomial models (Eq. 9 in the paper) for each refrigerant.<br> Parameters cover a wide range of operating conditions, defined by heat source and sink temperatures within the constraints outlined in the study.<br>- Data for 48 refrigerants, including conventional and low-GWP (Global Warming Potential) options. Applications:<br>- Suitable for preliminary design, feasibility assessments, and comparative analyses of heat pump systems.<br>- Complements COP (Coefficient of Performance) regression models for complete heat pump modeling. Assumptions and Limitations:<br>- The model assumes fixed superheating (7 K) and subcooling (1 K).<br>- Isentropic compressor efficiency is assumed to be ideal for simplicity.<br>- Errors may arise if real-world conditions deviate significantly from these assumptions (see Section 4.5 of the paper for sensitivity analysis).
提供机构:
Universität Kassel
创建时间:
2026-03-26
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