Evaluation of small-scale liquefied natural gas (SSLNG) processes: advanced exergoeconomic analysis

Delpisheh, Mostafa; Saffari, Hamid; Hosseinalipour, S. M.; Mehrpooya, Mehdi

doi:10.1007/s11696-022-02408-5

Cited by 8 publications

(1 citation statement)

References 56 publications

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“…In the field of energy systems and their assessments, exergoeconomic analysis is widely applied. Exergoeconomic is the integration of exergy analysis and economic principles, offering insights into the distribution of costs within a system and facilitating the optimization of overall system performance 47 . The foundation of eco‐exergy relies on exergy.…”

Section: Thermodynamic Modelingmentioning

confidence: 99%

A 3E analysis of a multi‐power generation system employing CO₂, LNG, and Organic Rankine cycles

Dadpour,

Deymi‐Dashtebayaz,

Delpisheh

et al. 2024

Env Prog and Sustain Energy

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One avenue in increasing the energy efficiency of energy systems is through utilizing the thermal energy of flue gases of industrial plants. On this thread, herein, a novel combined cascade cycle for heat recovery of flue gases of an industrial plant is proposed comprising of an organic Rankine cycle (ORC), high‐pressure transcritical CO2 cycle, transcritical CO2 cycle, and a liquefied natural gas (LNG) regasification cycle. System analysis is conducted using energy, exergy, and eco‐exergy equations. The optimization is carried out using the TOPSIS multi‐objective method. Exergy efficiency, net output work, and cost are identified as the optimization objectives. The optimization process focused on fine‐tuning variables including the vapor generator pinch point temperature, ORC turbine inlet pressure, ORC condenser pressure, and ORC condenser pinch point temperature, with optimal values gauged at 19.31°C, 29.59 bar, 1.413 bar, and 14.52°C, respectively. The preheater had the largest exergy destruction share, followed by the heat exchanger unit. The analysis showed that the ORC condenser pressure and temperature difference between two working fluids in the heat exchanger were the most critical parameters in the proposed cycle, significantly affecting the system performance. Accordingly, the exergy efficiency, net output work, and cost values in the optimal state were equal to 15.2%, 6416 kW, and 0.7457 $/s, respectively. The advantages of the proposed system include efficient heat recovery through the coupling of the multiple cycles and enhanced energy conversion pertinent to a wider range of temperatures, maximizing the overall energy extraction from the waste heat.

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Section: Thermodynamic Modelingmentioning

confidence: 99%

A 3E analysis of a multi‐power generation system employing CO₂, LNG, and Organic Rankine cycles

Dadpour,

Deymi‐Dashtebayaz,

Delpisheh

et al. 2024

Env Prog and Sustain Energy

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Integration of geothermal-driven organic Rankine cycle with a proton exchange membrane electrolyzer for the production of green hydrogen and electricity

Assareh

Delpisheh

Baldinelli

et al. 2023

Environ Sci Pollut Res

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Engineers and scientists are increasingly interested in clean energy options to replace fossil fuels in response to rising environmental concerns and dwindling fossil fuel resources. There has been an increase in the installation of renewable energy resources, and at the same time, conventional energy conversion systems have improved in efficiency. in this paper, several multi-generation systems based on geothermal energy are modeled, assessed, and optimized with an organic Rankine cycle and proton-exchange membrane electrolyzer subsystem in five different arrangements. Based on the results, the evaporator mass flow rate and inlet temperature, turbine efficiency, and inlet temperature are the most influential parameters on system outputs, namely, net output work, hydrogen production, energy efficiency, and cost rate. In this case study, the city of Zanjan (Iran) is selected for a case study, and the results of system energy efficiency for changes in ambient temperature are examined during the four seasons of the year. To determine the optimal values of the objective functions, energy efficiency, and cost rate, NSGA-II multi-objective genetic algorithm is employed, and a Pareto chart is derived as a result. A system's irreversibility and performance are gauged by energy and exergy analyses. At the optimum state, the best configuration yields an energy efficiency and cost rate of 0.65% and 17.40 $/h, respectively.

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Modeling and performance/sensitivity analysis of a thermally regenerative electrochemical refrigerator powered by thermoelectric generator

2023

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Evaluation of small-scale liquefied natural gas (SSLNG) processes: advanced exergoeconomic analysis

Cited by 8 publications

References 56 publications

A 3E analysis of a multi‐power generation system employing CO₂, LNG, and Organic Rankine cycles

A 3E analysis of a multi‐power generation system employing CO₂, LNG, and Organic Rankine cycles

Integration of geothermal-driven organic Rankine cycle with a proton exchange membrane electrolyzer for the production of green hydrogen and electricity

Modeling and performance/sensitivity analysis of a thermally regenerative electrochemical refrigerator powered by thermoelectric generator

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Evaluation of small-scale liquefied natural gas (SSLNG) processes: advanced exergoeconomic analysis

Cited by 8 publications

References 56 publications

A 3E analysis of a multi‐power generation system employing CO2, LNG, and Organic Rankine cycles

A 3E analysis of a multi‐power generation system employing CO2, LNG, and Organic Rankine cycles

Integration of geothermal-driven organic Rankine cycle with a proton exchange membrane electrolyzer for the production of green hydrogen and electricity

Modeling and performance/sensitivity analysis of a thermally regenerative electrochemical refrigerator powered by thermoelectric generator

Contact Info

Product

Resources

About

A 3E analysis of a multi‐power generation system employing CO₂, LNG, and Organic Rankine cycles

A 3E analysis of a multi‐power generation system employing CO₂, LNG, and Organic Rankine cycles