An Improved Analysis Method for Organic Rankine Cycles Based on Radial-Inflow Turbine Efficiency Prediction
Source abstract
Abstract
The organic Rankine cycle (ORC) has been demonstrated to be an effective method for converting low-grade heat energy into electricity. This paper proposes an improved analysis method for the ORC system. A coupling model of the ORC system with a radial-inflow turbine efficiency prediction model is presented. Multi-objective optimization was conducted for a constant turbine efficiency ORC system (ORCCTE) and a predicted turbine efficiency ORC system (ORCDTE), and the optimization results were compared. Additionally, a sensitivity analysis was conducted with respect to the heat source temperature and the ambient temperature. It can be found that the predicted turbine efficiency decreases with the increasing evaporation temperature, and increases with the increasing condensation temperature. The turbine efficiency is not constant and it varies with operating conditions. The distribution of the Pareto frontier for ORCCTE system and ORCCTE system is different. Compared with the ORCCTE system, the ORCDTE system has a lower optimal evaporation temperature, but a higher optimal condensation temperature. The deviation between the predicted turbine efficiency and the constant turbine efficiency increases with the increasing heat source temperature but decreases with the increasing ambient temperature. Thus, the difference in the theoretical analysis results between ORCCTE system and ORCDTE system increases with the increasing heat source temperature but decreases with the increasing ambient temperature.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Thermodynamic and Exergetic Analyses of Power and Cooling Systems · Adsorption and Cooling Systems · Solar Thermal and Photovoltaic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Lab of Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University, Ministry of Education, Baoding 071003, China
Funding
National Natural Science Foundation of China · Fundamental Research Funds for the Central Universities
References (32)
Show source-provided references
1. A recent review of waste heat recovery by Organic Rankine Cycle10.1016/j.applthermaleng.2018.07.136 ↗
2. Fu, H., Li, Z., Liu, Z., and Wang, Z. (2018). Research on big data digging of hot topics about recycled water use on micro-blog based on particle swarm optimization. Sustainability, 10.10.3390/su10072488 ↗
3. Analysis and comparison on thermodynamic and economic performances of an organic Rankine cycle with constant and one-dimensional dynamic turbine efficiency10.1016/j.enconman.2018.11.017 ↗
4. Song, J., Feng, Q., Wang, X., Fu, H., Jiang, W., and Chen, B. (2019). Spatial Association and Effect Evaluation of CO2 Emission in the Chengdu-Chongqing Urban Agglomeration: Quantitative Evidence from Social Network Analysis. Sustainability, 11.10.3390/su11010001 ↗
5. Thermodynamic analysis of a High Temperature Pumped Thermal Electricity Storage (HT-PTES) integrated with a parallel organic Rankine cycle (ORC)10.1016/j.enconman.2018.09.049 ↗
6. Mahmoudzadeh Andwari, A., Pesiridis, A., Karvountzis-Kontakiotis, A., and Esfahanian, V. (2017). Hybrid electric vehicle performance with organic Rankine cycle waste heat recovery system. Appl. Sci., 7.10.3390/app7050437 ↗
7. Organic Rankine cycle design and performance comparison based on experimental database10.1016/j.apenergy.2017.04.012 ↗
8. Comparison between regenerative organic Rankine cycle (RORC) and basic organic Rankine cycle (BORC) based on thermoeconomic multi-objective optimization considering exergy efficiency and levelized energy cost (LEC)10.1016/j.enconman.2015.02.045 ↗
9. A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems10.1016/j.apenergy.2017.07.120 ↗
10. Thermodynamic evaluation on the effect of working fluid type and fluids critical properties on design and performance of Organic Rankine Cycles10.1016/j.jclepro.2018.03.228 ↗
11. Thermoeconomic multi-objective optimization of an organic Rankine cycle (ORC) adapted to an existing solid waste power plant10.1016/j.enconman.2018.04.103 ↗
12. Thermoeconomic multi-objective optimization of an organic Rankine cycle for exhaust waste heat recovery of a diesel engine10.1016/j.energy.2015.10.117 ↗
13. Thermo-economic-environmental optimization of a liquid separation condensation-based organic Rankine cycle driven by waste heat10.1016/j.jclepro.2018.01.095 ↗
14. Multi-objective optimization and exergoeconomic analysis of waste heat recovery from Tehran’s waste-to-energy plant integrated with an ORC unit10.1016/j.energy.2018.07.074 ↗
15. Efficiency and cost optimization of a regenerative Organic Rankine Cycle power plant through the multi-objective approach10.1016/j.applthermaleng.2016.12.009 ↗
16. Li, P., Han, Z., Jia, X., Mei, Z., and Han, X. (2018). Analysis of the Effects of Blade Installation Angle and Blade Number on Radial-Inflow Turbine Stator Flow Performance. Energies, 11.10.3390/en11092258 ↗
17. Improved thermodynamic design of organic radial-inflow turbine and ORC system thermal performance analysis10.1016/j.enconman.2017.08.025 ↗
18. Off-design performance prediction of radial turbines operating with ideal and real working fluids10.1016/j.enconman.2018.06.093 ↗
19. Modelling and optimization of organic Rankine cycle based on a small-scale radial inflow turbine10.1016/j.enconman.2014.12.003 ↗
20. Constrained multi-objective optimization of radial expanders in organic Rankine cycles by firefly algorithm10.1016/j.enconman.2017.06.070 ↗
21. Parametric analysis of organic rankine cycle based on a radial turbine for low-grade waste heat recovery10.1016/j.applthermaleng.2017.07.046 ↗
22. Multi-objective optimization of evaporation and condensation temperatures for subcritical organic Rankine cycle10.1016/j.energy.2015.02.081 ↗
23. Thermo-fluid dynamics preliminary design of turbo-expanders for ORC cycles10.1016/j.apenergy.2012.02.033 ↗
24. Lee, Y., and Lu, G. (1984). Radial Inflow Turbine and Centrifugal Compressor, China Machine Press.
25. Design and Test of a Small, High Pressure Ratio Radial Turbine10.1115/1.2836651 ↗
26. A new Non-Dominated Sorting Grey Wolf Optimizer (NS-GWO) algorithm: Development and application to solve engineering designs and economic constrained emission dispatch problem with integration of wind power10.1016/j.engappai.2018.04.018 ↗
27. Systematic research on the application of steel slag resources under the background of big data10.1155/2018/6703908 ↗
28. Research on a fusion scheme of cellular network and wireless sensor networks for cyber physical social systems10.1109/ACCESS.2018.2816565 ↗
29. An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production10.1016/j.advengsoft.2016.06.004 ↗
30. A novel design concept for fabricating 3D graphene with the assistant of anti-solvent precipitated sulphates and its Li-ion storage properties10.1039/C7TA10850H ↗
31. Multi-objective optimization of evaporator of organic Rankine cycle (ORC) for low temperature geothermal heat source10.1016/j.applthermaleng.2015.01.034 ↗
32. Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery10.1016/j.energy.2015.01.075 ↗