Sign in Subscribe
Genetic research

Modified Multigeneration System for Sustainable Energy Production

Strategic Insights

— 1 min read

Researchers from the University of Indonesia have proposed a modified multigeneration system (MGS) that utilizes geothermal heat to produce multiple products, including cooling, heating, power generation, hydrogen, and fresh water through seawater desalination. The system incorporates liquefied natural gas (LNG) as a heat sink and enhanced by a thermoelectric generation (TEG) module and reverse osmosis (RO) desalination unit. The study aims to evaluate the system's thermal efficiency, exergy efficiency, and the sum unit cost of products (SUCP) to assess its thermal, exergy, and exergy-economic performances.

Key Takeaways:

  • The modified MGS system has been evaluated in terms of thermal efficiency, exergy efficiency, and SUCP to assess its thermal, exergy, and exergy-economic performances.
  • The system could generate a heating capacity of 3577 kW, cooling capacity of 505.9 kW, output power of 282.5 kW, hydrogen production of 2.969 kg/h, and distillate water of 145.8 m3/hr.
  • The most optimal values for thermal efficiency, exergy efficiency, and SUCP were found to be 60.08%, 18.65%, and 159.389 $/GJ, respectively.
  • The incorporation of a TEG module and RO desalination unit resulted in a decrease in both thermal and exergy efficiency but an increase in the SUCP.
  • The system's performance was optimized using the Multiobjective Genetic Algorithm (MOGA) based on selected decision variables from the Engineering Equation Solver (EES) code connected with the MATLAB module and the TOPSIS method.
  • The research has been peer-reviewed and published in the journal Energy.

Statistics:

  • Thermal efficiency: 60.08%
  • Exergy efficiency: 18.65%
  • SUCP: 159.389 $/GJ
  • Heating capacity: 3577 kW
  • Cooling capacity: 505.9 kW
  • Output power: 282.5 kW
  • Hydrogen production: 2.969 kg/h
  • Distillate water: 145.8 m3/hr

Sources:

  • Energy, Exergy, and Exergy-economic Optimization of a Multigeneration System Driven By Geothermal Primary Heat Source Using Multi-objective Genetic Algorithm (Moga). Energy, 2025;330.
  • NewsRx. Reports Summarize Chemicals and Chemistry Findings from University of Indonesia [Energy, Exergy, and Exergy-economic Optimization of a Multigeneration System Driven By Geothermal Primary Heat Source Using Multi-objective Genetic Algorithm (Moga)]. Mathematics Week. September 2, 2025; p 2527.

Read more