Skip to main content
Log in

A review on geothermal Organic Rankine cycles: modeling and optimization

  • Published:
Journal of Thermal Analysis and Calorimetry Aims and scope Submit manuscript

Abstract

Employing renewable energy sources for power generation have been developed in recent years due to their several benefits including low emission of greenhouse gases and their inexhaustible nature. Among the applicable renewable energy sources for electricity generation, geothermal energy is one of the most appropriate ones owing to its independent availability from the weather condition. Due to the acceptable performance of Organic Rankine cycles (ORCs) in generating power from low- or medium-temperature heat sources, these cycles are appropriate choices for utilization in geothermal power plants. There are several parameters that influence the rate of power production and the efficiency of geothermal-based ORCs. The impacts of influential parameters have been investigated in several studies by modeling and optimization of these cycles. This article provides a comprehensive review of the previous studies focused on modeling and optimization of the ORCs with different configurations and operating conditions, which would be useful for the researchers working in this field of science. Conclusions of the reviewed studies reveal that geothermal-based ORCs performance is significantly influenced by the applied operating fluid in the cycle, working condition in addition to configuration and architecture of the applied cycle. Moreover, studies that concentrated on the optimization of geothermal-based ORCs are also reviewed and their key conclusions are reflected as well. In the majority of the studies in this field, technical and economic objectives have been considered for optimization of the cycles. Depending on the characteristics of the case studies, the efficiency and cost of the generated power in optimized geothermal-based ORCs vary greatly. Finally, several recommendations are proposed for future studies in this field.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Abbreviations

\(h\) :

Specific enthalpy

\(\dot{m}\) :

Mass flow rate

\(Q\) :

Heat

\(T\) :

Temperature

\(s\) :

Specific entropy

\(X\) :

Exergy

\(W\) :

Work

\(\psi\) :

Specific exergy flow

\(\eta\) :

Energy efficiency

\(\varepsilon\) :

Exergy efficiency

References

  1. Zhu B, Su B, Li Y. Input–output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08–2013/14. Appl Energy. 2018;230:1545–56.

    Google Scholar 

  2. Zhu B, Ma S, Xie R, Chevallier J, Wei YM. Hilbert spectra and empirical mode decomposition: a multiscale event analysis method to detect the impact of economic crises on the European Carbon Market. Comput Econ. 2018 [cited 2020 Sep 30];52:105–21. https://doi.org/10.1007/s10614-017-9664-x.

  3. Javanshir A, Sarunac N, Razzaghpanah Z. Thermodynamic analysis of ORC and its application for waste heat recovery. Sustainability. 2017;9:1974.

    Google Scholar 

  4. Cammarata G, Cammarata L, Petrone G. Thermodynamic analysis of ORC for energy production from geothermal resources. Energy Procedia. 2014;45:1337–43.

    Google Scholar 

  5. Yue C, Han D, Pu W, He W. Thermal matching performance of a geothermal ORC system using zeotropic working fluids. Renew Energy. 2015;80:746–54.

    CAS  Google Scholar 

  6. Ghalandari M, Maleki A, Haghighi A, Shadloo MS, Nazari MA, Tlili I. Applications of nanofluids containing carbon nanotubes in solar energy systems: a review. J Mol Liq. 2020 [cited 2020 Jun 14];113476. https://linkinghub.elsevier.com/retrieve/pii/S0167732220314379.

  7. Cai W, Li X, Maleki A, Pourfayaz F, Rosen MA, Alhuyi Nazari M, et al. Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology. Energy. 2020;201:117480.

    Google Scholar 

  8. Zhang W, Maleki A, Rosen MA. A heuristic-based approach for optimizing a small independent solar and wind hybrid power scheme incorporating load forecasting. J Clean Prod. 2019 [cited 2019 Sep 1];117920. https://www.sciencedirect.com/science/article/pii/S0959652619327908.

  9. Wang P, Li JB, Bai FW, Liu DY, Xu C, Zhao L, et al. Experimental and theoretical evaluation on the thermal performance of a windowed volumetric solar receiver. Energy. 2017;119:652–61.

    CAS  Google Scholar 

  10. Abdelkareem MA, El Haj Assad M, Sayed ET, Soudan B. Recent progress in the use of renewable energy sources to power water desalination plants. Desalination. 2018;435:97–113.

    CAS  Google Scholar 

  11. Invernizzi CM. The Organic Rankine cycle. In: Lecture notes in energy, vol 11. London: Springer; 2013. p. 117–75.

  12. Hosseini SE, Butler B. Design and analysis of a hybrid concentrated photovoltaic thermal system integrated with an Organic Rankine cycle for hydrogen production. J Therm Anal Calorim. 2020;20:1–16.

    Google Scholar 

  13. Deymi-Dashtebayaz M, Maddah S, Goodarzi M, Maddah O. Investigation of the effect of using various HFC refrigerants in geothermal heat pump with residential heating applications. J Therm Anal Calorim. 2020;141:361–72.

    CAS  Google Scholar 

  14. Koroneos CJ, Nanaki EA. Environmental impact assessment of a ground source heat pump system in Greece. Geothermics. 2017;65:1–9. https://doi.org/10.1016/j.geothermics.2016.08.005.

    Article  Google Scholar 

  15. Michopoulos A, Voulgari V, Tsikaloudaki A, Zachariadis T. Evaluation of ground source heat pump systems for residential buildings in warm Mediterranean regions: the example of Cyprus. Energy Effic. 2016;9:1–16.

    CAS  Google Scholar 

  16. Gude VG. Geothermal source potential for water desalination—current status and future perspective. Renew Sustain Energy Rev. 2016;57:1038–65.

    Google Scholar 

  17. Bu X, Wang L, Li H. Performance analysis and working fluid selection for geothermal energy-powered Organic Rankine-vapor compression air conditioning. Geotherm Energy. 2013;1:1–14.

    Google Scholar 

  18. Eyerer S, Dawo F, Wieland C, Spliethoff H. Advanced ORC architecture for geothermal combined heat and power generation. Energy. 2020 [cited 2020 Jun 12];117967. https://linkinghub.elsevier.com/retrieve/pii/S0360544220310744.

  19. Bu X, Jiang K, He Y. Performance analysis of shallow depth hydrothermal enhanced geothermal system for electricity generation. Geothermics. 2020;86:101847.

    Google Scholar 

  20. Ahmadi S, Irandoost Shahrestani M, Sayadian S, Maerefat M, Haghighi Poshtiri A. Performance analysis of an integrated cooling system consisted of earth-to-air heat exchanger (EAHE) and water spray channel. J Therm Anal Calorim. 2020 [cited 2020 Sep 6];1–11. https://doi.org/10.1007/s10973-020-09268-9.

  21. Zhang Y, Huang P. Influence of mine shallow roadway on airflow temperature. Arab J Geosci. 2020 [cited 2020 Sep 30];13:1–6. https://doi.org/10.1007/s12517-019-4934-7.

  22. El Haj Assad M, Said Z, Khosravi A, Salameh T, Albawab M. Parametric study of geothermal parallel flow double-effect water–LiBr absorption chiller. In: 2019 Advances in science and engineering technology international conferences ASET 2019. Institute of Electrical and Electronics Engineers Inc.; 2019.

  23. El Haj Assad M, Bani-Hani E, Khalil M. Performance of geothermal power plants (single, dual, and binary) to compensate for LHC-CERN power consumption: comparative study. Geotherm Energy. 2017;5:17. https://doi.org/10.1186/s40517-017-0074-z.

    Article  Google Scholar 

  24. Heat G. Geothermal roadmap—geothermal heat and power. Paris: International Energy Agency; 2011.

    Google Scholar 

  25. Quaschning V. Geothermal energy—power from the deep. Renew Energy Clim Change, 2nd ed. Wiley; 2019 [cited 2020 Jun 17]. p. 233–44. https://doi.wiley.com/10.1002/9781119514909.ch10.

  26. Bonalumi D, Bombarda P, Invernizzi C. Potential performance of environmental friendly application of ORC and Flash technology in geothermal power plants. Energy Procedia. 2017;129:621–8.

    CAS  Google Scholar 

  27. Tchanche BF. Geothermal energy and Organic Rankine cycle machines. Alternative energy shale gas encyclopedia. Hoboken, NJ: Wiley; 2016 [cited 2020 Jun 17]. p. 310–7. https://doi.wiley.com/10.1002/9781119066354.ch30.

  28. Hsieh JC, Lee YR, Guo TR, Liu LW, Cheng PY, Wang CC. A co-axial multi-tube heat exchanger applicable for a geothermal ORC power plant. Energy Procedia. 2014;61:874–7.

    CAS  Google Scholar 

  29. Yang Y, Huo Y, Xia W, Wang X, Zhao P, Dai Y. Construction and preliminary test of a geothermal ORC system using geothermal resource from abandoned oil wells in the Huabei oilfield of China. Energy. 2017;140:633–45.

    CAS  Google Scholar 

  30. Zanellato L, Astolfi M, Serafino A, Rizzi D, Macchi E. Field performance evaluation of geothermal ORC power plants with a focus on radial outflow turbines. Renew Energy. 2020;147:2896–904.

    Google Scholar 

  31. Lamba R, Manikandan S, Kaushik SC, Tyagi SK. Thermodynamic modelling and performance optimization of trapezoidal thermoelectric cooler using genetic algorithm. Therm Sci Eng Prog. 2018;6:236–50. https://doi.org/10.1016/j.tsep.2018.04.010.

    Article  Google Scholar 

  32. Altun AF, Kilic M. Thermodynamic performance evaluation of a geothermal ORC power plant. Renew Energy. 2020;148:261–74.

    Google Scholar 

  33. Bianchi M, Branchini L, De Pascale A, Melino F, Ottaviano S, Peretto A, et al. Performance and operation of micro-ORC energy system using geothermal heat source. Energy Procedia. 2018;148:384–91.

    CAS  Google Scholar 

  34. Bahrami M, Hamidi AA, Porkhial S. Investigation of the effect of organic working fluids on thermodynamic performance of combined cycle stirling-ORC. Int J Energy Environ Eng. 2013;4:1–9.

    Google Scholar 

  35. Guzović Z, Rašković P, Blatarić Z. The comparision of a basic and a dual-pressure ORC (Organic Rankine cycle): geothermal Power Plant Velika Ciglena case study. Energy. 2014;76:175–86.

    Google Scholar 

  36. Algieri A, Šebo J. Energetic investigation of Organic Rankine cycles (ORCs) for the exploitation of low-temperature geothermal sources—a possible application in Slovakia. Procedia Comput Sci. 2017;109:833–40.

    Google Scholar 

  37. Hu K, Zhu J, Zhang W, Lu X. A case study of an ORC geothermal power demonstration system under partial load conditions in Huabei Oilfield, China. Energy Procedia. 2017;142:1327–32.

    CAS  Google Scholar 

  38. Zare V. A comparative exergoeconomic analysis of different ORC configurations for binary geothermal power plants. Energy Convers Manag. 2015;105:127–38.

    Google Scholar 

  39. Unverdi M, Cerci Y. Thermodynamic analysis and performance improvement of Irem geothermal power plant in Turkey: a case study of Organic Rankine cycle. Environ Prog Sustain Energy. Wiley; 2018 [cited 2020 Jun 17];37:1523–39. https://doi.wiley.com/10.1002/ep.12818.

  40. Wang N, Zhang S, Fei Z, Zhang W, Shao L, Sardari F. Thermodynamic performance analysis a power and cooling generation system based on geothermal flash, Organic Rankine cycles, and ejector refrigeration cycle; application of zeotropic mixtures. Sustain Energy Technol Assessments. 2020 [cited 2020 Jun 12];40:100749. https://linkinghub.elsevier.com/retrieve/pii/S2213138819309683.

  41. Akrami E, Chitsaz A, Ghamari P, Mahmoudi SMS. Energy and exergy evaluation of a tri-generation system driven by the geothermal energy. J Mech Sci Technol. 2017;31:401–8.

    Google Scholar 

  42. Nami H, Nemati A, Jabbari Fard F. Conventional and advanced exergy analyses of a geothermal driven dual fluid Organic Rankine cycle (ORC). Appl Therm Eng. 2017;122:59–70.

    Google Scholar 

  43. Kianfard H, Khalilarya S, Jafarmadar S. Exergy and exergoeconomic evaluation of hydrogen and distilled water production via combination of PEM electrolyzer, RO desalination unit and geothermal driven dual fluid ORC. Energy Convers Manag. 2018;177:339–49.

    CAS  Google Scholar 

  44. Maleki, A., Nazari, M. A., & Pourfayaz F. Harmony search optimization for optimum sizing of hybrid solar schemes based on battery storage unit. Energy Rep. 2020.

  45. Sadeghi S, Maghsoudi P, Shabani B, Gorgani HH, Shabani N. Performance analysis and multi-objective optimization of an Organic Rankine cycle with binary zeotropic working fluid employing modified artificial bee colony algorithm. J Therm Anal Calorim. 2019;136:1645–65.

    CAS  Google Scholar 

  46. Karimi S, Mansouri S. A comparative profitability study of geothermal electricity production in developed and developing countries: exergoeconomic analysis and optimization of different ORC configurations. Renew Energy. 2018;115:600–19.

    CAS  Google Scholar 

  47. Van Erdeweghe S, Van Bael J, Laenen B, D’haeseleer W. Design and off-design optimization procedure for low-temperature geothermal Organic Rankine cycles. Appl Energy. 2019;242:716–31.

    Google Scholar 

  48. Astolfi M, Romano MC, Bombarda P, Macchi E. Binary ORC (Organic Rankine cycles) power plants for the exploitation of medium-low temperature geothermal sources—part B: techno-economic optimization. Energy. 2014;66:435–46.

    CAS  Google Scholar 

  49. Yekoladio PJ, Bello-Ochende T, Meyer JP. Thermodynamic analysis and performance optimization of Organic Rankine cycles for the conversion of low-to-moderate grade geothermal heat. Int J Energy Res. Wiley; 2015 [cited 2020 Jun 17];39:1256–71. https://doi.wiley.com/10.1002/er.3326.

  50. Shokati N, Ranjbar F, Yari M. Exergoeconomic analysis and optimization of basic, dual-pressure and dual-fluid ORCs and Kalina geothermal power plants: a comparative study. Renew Energy. 2015;83:527–42.

    CAS  Google Scholar 

  51. Liu X, Wei M, Yang L, Wang X. Thermo-economic analysis and optimization selection of ORC system configurations for low temperature binary-cycle geothermal plant. Appl Therm Eng. 2017;125:153–64.

    CAS  Google Scholar 

  52. Sadeghi M, Nemati A, ghavimi A, Yari M. Thermodynamic analysis and multi-objective optimization of various ORC (Organic Rankine cycle) configurations using zeotropic mixtures. Energy. Pergamon; 2016 [cited 2018 May 25];109:791–802. https://www.sciencedirect.com/science/article/pii/S0360544216305746.

  53. Shengjun Z, Huaixin W, Tao G. Performance comparison and parametric optimization of subcritical Organic Rankine cycle (ORC) and transcritical power cycle system for low-temperature geothermal power generation. Appl Energy. 2011;88:2740–54.

    Google Scholar 

  54. Liu X, Zhang Y, Shen J. System performance optimization of ORC-based geo-plant with R245fa under different geothermal water inlet temperatures. Geothermics. 2017;66:134–42.

    Google Scholar 

  55. Fiaschi D, Lifshitz A, Manfrida G, Tempesti D. An innovative ORC power plant layout for heat and power generation from medium- to low-temperature geothermal resources. Energy Convers Manag. 2014;88:883–93.

    Google Scholar 

  56. Mohammadzadeh Bina S, Jalilinasrabady S, Fujii H. Thermo-economic evaluation of various bottoming ORCs for geothermal power plant, determination of optimum cycle for Sabalan power plant exhaust. Geothermics. 2017;70:181–91.

    Google Scholar 

  57. Mosaffa AH, Mokarram NH, Farshi LG. Thermo-economic analysis of combined different ORCs geothermal power plants and LNG cold energy. Geothermics. 2017;65:113–25.

    Google Scholar 

  58. Maleki A, Haghighi A, Irandoost Shahrestani M, Abdelmalek Z. Applying different types of artificial neural network for modeling thermal conductivity of nanofluids containing silica particles. J Therm Anal Calorim. 2020. https://doi.org/10.1007/s10973-020-09541-x

  59. Maleki A, Elahi M, Assad MEH, Alhuyi Nazari M, Safdari Shadloo M, Nabipour N. Thermal conductivity modeling of nanofluids with ZnO particles by using approaches based on artificial neural network and MARS. J Therm Anal Calorim. 2020. https://doi.org/10.1007/s10973-020-09373-9

  60. Arslan O, Yetik O. ANN based optimization of supercritical ORC-binary geothermal power plant: Simav case study. Appl Therm Eng. 2011;31:3922–8.

    Google Scholar 

  61. Zhang X, Zhang Y, Liu Z, Liu J. Analysis of heat transfer and flow characteristics in typical cambered ducts. Int J Therm Sci. 2020;150:106226.

    Google Scholar 

  62. Hemmat Esfe M, Rostamian H, Toghraie D, Yan WM. Using artificial neural network to predict thermal conductivity of ethylene glycol with alumina nanoparticle: effects of temperature and solid volume fraction. J Therm Anal Calorim. 2016;126:643–8.

    CAS  Google Scholar 

  63. Ahmadi MH, Sadeghzadeh M, Raffiee AH, Chau K. Applying GMDH neural network to estimate the thermal resistance and thermal conductivity of pulsating heat pipes. Eng Appl Comput Fluid Mech. 2019 [cited 2019 Mar 31];13:327–36. https://www.tandfonline.com/doi/full/10.1080/19942060.2019.1582109.

Download references

Acknowledgements

The authors would like to Ms M. Afsharzadeh for her assitance in designing and drawing the figures.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mamdouh El Haj Assad.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Haghighi, A., Pakatchian, M., Assad, M.E.H. et al. A review on geothermal Organic Rankine cycles: modeling and optimization. J Therm Anal Calorim 144, 1799–1814 (2021). https://doi.org/10.1007/s10973-020-10357-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10973-020-10357-y

Keywords

Navigation