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EXERGY AND ENERGY ANALYSIS OF A HEAT PUMP SYSTEM MODELED IN PYTHON.

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Názov: EXERGY AND ENERGY ANALYSIS OF A HEAT PUMP SYSTEM MODELED IN PYTHON.
Autori: Maria-Isabela, Cașotă (Ghicajanu)1
Zdroj: Annals of 'Constantin Brancusi' University of Targu-Jiu. Engineering Series / Analele Universităţii Constantin Brâncuşi din Târgu-Jiu. Seria Inginerie. 2025, Issue 3, p134-143. 10p.
Predmety: Heat pumps, Exergy, Statistical energy analysis, Thermodynamics, Sensitivity analysis, Python programming language, Economic efficiency, Greenhouse gas mitigation
Abstrakt: Heat pumps represent a key technology for reducing greenhouse gas emissions in the building sector due to their ability to deliver high thermal output using relatively low electrical energy. Traditional energy analysis methods, based primarily on the coefficient of performance (COP), provide insight into heat pump efficiency but cannot fully capture the quality and degradations of energy throughout the cycle. This paper presents a combined energy and exergy analysis of a vapor-compression heat pump system modeled using Python. The thermodynamic properties of the working fluid are evaluated using the CoolProp library, and the cycle is simulated by calculating state points, component work, heat transfer, and exergy destruction. Results show that the compressor is the dominant source of irreversibility, accounting for the highest exergy destruction due to mechanical and thermodynamic losses. Sensitivity analysis indicates that increasing evaporator temperature significantly improves overall exergy efficiency and reduces power consumption. The study demonstrates the usefulness of exergy-based evaluation for identifying inefficiencies in heat pump systems and highlights the environmental benefits associated with improved operating conditions. The Python-based approach provides a transparent, reproducible framework suitable for research, teaching, and integration into larger building simulation workflows. [ABSTRACT FROM AUTHOR]
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Abstrakt:Heat pumps represent a key technology for reducing greenhouse gas emissions in the building sector due to their ability to deliver high thermal output using relatively low electrical energy. Traditional energy analysis methods, based primarily on the coefficient of performance (COP), provide insight into heat pump efficiency but cannot fully capture the quality and degradations of energy throughout the cycle. This paper presents a combined energy and exergy analysis of a vapor-compression heat pump system modeled using Python. The thermodynamic properties of the working fluid are evaluated using the CoolProp library, and the cycle is simulated by calculating state points, component work, heat transfer, and exergy destruction. Results show that the compressor is the dominant source of irreversibility, accounting for the highest exergy destruction due to mechanical and thermodynamic losses. Sensitivity analysis indicates that increasing evaporator temperature significantly improves overall exergy efficiency and reduces power consumption. The study demonstrates the usefulness of exergy-based evaluation for identifying inefficiencies in heat pump systems and highlights the environmental benefits associated with improved operating conditions. The Python-based approach provides a transparent, reproducible framework suitable for research, teaching, and integration into larger building simulation workflows. [ABSTRACT FROM AUTHOR]
ISSN:18424856