Renewable energy-driven decentralized polygeneration systems herald great potential in tackling climate change issues and promoting sustainable development. In this light, study introduces a new machine learning-based multi-objective optimization approach of an integrated solar CO2 capture system for meeting greenhouse’s power, freshwater, demands. The solar-assisted comprises 486-kW gas turbin...

Besides paying more attention to renewables, developing efficient multi-generation systems fed by currently available energy sources is another pathway sustainable development. Meanwhile, hydrogen production will play a key role in the green transition. The present work investigates gas-to-X system produce power, hydrogen, steam, and heat from thermodynamic economic points of view. proposed inc...

In this study, the performance of an irreversible regenerative Brayton cycle is sought through power maximizations using finite-time thermodynamic concept in finite-size components. Optimizations are performed using a genetic algorithm. In order to take into account the finite-time and finite-size concepts in the current problem, a dimensionless mass-flow rate parameter is used to deploy ti...

• Novel geothermal systems are proposed for combined cooling and power generation. Parametric multi-objective thermoeconomic optimization comparisons performed. System Conf. (a) has the best power/exergy efficiency (58%) specific cost (30 $/GJ). (b) highest cooling/thermal (43%) (67 The rates of optimised (a)-(c) 440, 560, 600 $/h a given heat source. Comparative parametric analyses three novel...

In this work, a novel dual-nozzle ejector enhanced triple-evaporator refrigeration cycle (DETRC) without separator is proposed to improve the performance of the conventional ejector one (CETRC). The performance of DETRC is analyzed and compared with CETRC in term of energy coefficient of performance (COPen). Under given operating conditions, the COPen improvement of the no...