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Multi-mode study and optimization of a hybrid design/utilization of renewable energy-based power plants integrated with a novel heat recovery application using modified subsystems

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  • Li, Xin
  • Xiang, Shihui

Abstract

The integration of a hybrid structure combining renewable energy units offers an effective solution to address the limitations of individual renewable sources, including notable energy losses in geothermal systems and air pollution from biomass fuel. Considering this, the current research presents an innovative approach to combining geothermal power and biomass feedstock, in which the biomass power plant provides additional heat to the geothermal cycle, augmenting its heat duty and heat recovery potential. Thus, a multimodal structure is employed to concurrently generate power, cooling, and freshwater using modified subsystems: a multi-effect desalination, an organic Rankine cycle with regenerative and internal heat recovery processes, and a generator-absorber-heat exchanger refrigeration cycle. Hence, thermodynamic-economic examinations are undertaken using a multi-mode approach, with EES for simulation and MATLAB for optimization, followed by a thorough sensitivity analysis. Subsequently, the research employs the MOPSO method to apply a multi-objective optimization under two scenarios: exergetic efficiency-net present value and net present value-fixed capital investment. A comprehensive decision study identifies the second scenario as the suitable option, with a net present value of 13.57 $ M and a fixed capital investment of 16.71 $M. Besides, the exergetic efficiency and payback time equal 33.86% and 5.23 years, respectively.

Suggested Citation

  • Li, Xin & Xiang, Shihui, 2026. "Multi-mode study and optimization of a hybrid design/utilization of renewable energy-based power plants integrated with a novel heat recovery application using modified subsystems," Renewable Energy, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:renene:v:267:y:2026:i:c:s0960148126005227
    DOI: 10.1016/j.renene.2026.125697
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