How to rapidly predict the performance of ORC: Optimal empirical correlation based on cycle separation
| Autor: | Li Wenjia, Shuai Deng, Yanping Du, Jun Zhao, Yongzhen Wang, Qingsong An, Likai Hu, Hongmei Yin |
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| Rok vydání: | 2019 |
| Předmět: |
Organic Rankine cycle
Thermal efficiency Renewable Energy Sustainability and the Environment 020209 energy Energy Engineering and Power Technology Thermodynamics 02 engineering and technology Power (physics) Fuel Technology 020401 chemical engineering Nuclear Energy and Engineering Thermodynamic cycle Heat transfer Acentric factor Convergence (routing) 0202 electrical engineering electronic engineering information engineering Exergy efficiency 0204 chemical engineering Mathematics |
| Zdroj: | Energy Conversion and Management. 188:86-93 |
| ISSN: | 0196-8904 |
| DOI: | 10.1016/j.enconman.2019.02.095 |
| Popis: | This paper establishes an empirical correlation based on the separability of thermodynamic cycle, which could characterize the thermodynamic performance of organic Rankine cycle (ORC), resembling heat transfer empirical correlation. In this research, we found that the thermal efficiency, exergy efficiency and net output power of ORC can be expressed by the heat source characteristics ( T hs , heat source temperature) and two key physical properties of working fluids (Tcri, critical temperature; ω , acentric factor). That is, Ω ORC , o p t = C wf · T cri m · ω wf n · T hs o .Taking subcritical ORC as an example, the empirical correlation of the optimal power generation and its corresponding optimal evaporation temperature could be provided through proposed method. The results reveal that the empirical correlations have the high prediction accuracies (the determination coefficient R2 are both about 0.97) when comparing with traditional numerical calculation. The application of correlation could avoid the complex process of iteration for calculation convergence and calling properties, so it is more convenient and faster than traditional methods when used to predict the performance of ORC or to select and design the working fluids. |
| Databáze: | OpenAIRE |
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