Proposed and analyzed two novel cascade systems: ECAC and EICAC, integrating ejector and vapor injection with a modified absorption top cycle.
Incorporated Refrigerant Heat Exchanger (RHX) in the absorption cycle to boost refrigerant mass flow and enhance COP.
Achieved up to 15% (ECAC) and 6% (EICAC) higher COP, and 20% and 10% higher exergy efficiency, respectively, compared to traditional systems.
Identified R41–LiBr/H₂O as the best HTC pair; R161, R290, and R1270 also performed well in LTC.
My Role : Lead Author (conceptualization, methodology, thermodynamic modeling, performance evaluation, and writing the original draft of the manuscript).
Developed two advanced hybrid cascaded systems (E-CRAC and EI-CRAC) by integrating a recompression absorption cycle (RAC) with ejector-assisted VCR and vapor injection technologies.
Employed EES-based thermodynamic modeling using 1st and 2nd law analysis and conducted multi-objective optimization using Artificial Neural Network (ANN) and Genetic Algorithm.
Achieved up to 3× COP improvement over traditional CARC systems; E-CRAC and EI-CRAC showed 20% and 10% COP gains and 25% and 15% rise in exergy efficiency over base CRAC.
Identified system sensitivity to operating parameters such as ejector pressure drop, evaporator/condenser pressure, and absorber temperature, stressing the need for fine-tuned control.
My Role : Lead Author (conceptualization, data curation, formal analysis, investigation, methodology, software development, validation, and writing the original draft of the manuscript).
Developed two advanced systems—RE-RAC and VI-RAC—by integrating ejector and vapor injection into the recompression absorption cycle (RAC) to overcome the low COP and pressure issues of traditional ARC.
Conducted detailed energy and exergy analysis, evaluating 1st and 2nd law efficiency, exergy destruction rate, compressor load, and generator heat demand.
Achieved COP improvements of 76% (RE-RAC) and 63% (VI-RAC) over conventional RAC; RE-RAC outperformed SE-RAC by 28% and VI-RAC by 19% under comparable conditions.
Observed performance sensitivity to evaporator/generator temperature, absorber pressure, and pressure ratios; RE-RAC showed a 35% higher COP than VI-RAC at 67 °C generator and 8 °C evaporator conditions.
My Role: Lead Author (conceptualization, data curation, formal analysis, investigation, methodology, software development, validation, and writing the original draft of the manuscript).
Conducted a comparative analysis of five liquid metal-based nanofluids (Ga, GaIn, EGaIn, GaSn, EGaInSn) with four nanoparticles (CNT, Al₂O₃, Cu, diamond) against conventional water-based nanofluids in microchannel heat sinks.
Performed 3D single-phase and two-phase simulations, validated with experimental data from the literature, ensuring grid independence using multiple mesh refinements.
Demonstrated that liquid metal-based nanofluids provide up to 3.41× higher heat transfer coefficients; GaIn–CNT exhibited superior thermal performance compared to other liquid metal-CNT combinations.
Analyzed hydraulic performance using the Performance Evaluation Criterion (PEC), with Ga-based nanofluids showing the most effective balance between thermal and hydraulic characteristics.
My Role : Lead Author (Design, meshing, simulation, and draft writing).
Proposed a novel cascade refrigeration system by integrating Ejector Expansion Vapor Compression Cycle (EEVCC) and Vapor Injection Cycle with Flash Tank (VICFT) via a cascade heat exchanger for moderately low-temperature applications.
Conducted a comprehensive energy and exergy analysis, evaluating the effect of evaporator temperature, ejector pressure drop, and lower circuit condensation temperature.
Found the system to be highly sensitive to pressure and condensation variations, requiring optimal design parameter tuning for best performance.
Demonstrated 8.571% COP and 7.241% exergy efficiency improvement over conventional cascade systems at –60 °C; R170–R601 refrigerant pair provided best environmental and thermodynamic performance.
My Role: Conceptualization, methodology, formal analysis, and writing – original draft.
Proposed a novel compression-absorption cascade system combining a reheater-integrated absorption cycle (HTC) and a flash tank-assisted vapor compression cycle (LTC).
Investigated system performance using energy and exergy analysis, parametric study, and Genetic Algorithm-based optimization for two refrigerant pairings: R41–LiBr/H₂O and R41–NH₃/H₂O.
Found that at −35 °C evaporator temperature, the R41–LiBr/H₂O combination achieved 15.39% higher COP and exergetic efficiency, and R41–NH₃/H₂O achieved 18.49% improvement compared to conventional systems.
Comparative results indicate R41–LiBr/H₂O as the superior refrigerant combination for optimized performance and thermal efficiency.
My Role: Conceptualization, methodology, formal analysis, and writing – original draft.
Proposed a novel Advanced Triple Cascade Refrigeration System (ATCRS) for Ultra-Low Temperature (ULT) applications, integrating a flash tank and suction line heat exchanger to boost energy and economic performance.
Utilized m-Xylene, Toluene, and 1-Butene as refrigerants in the high, medium, and low-temperature stages, respectively.
Achieved 22% higher COP and 19.33% compressor work reduction
Exergy analysis showed 19.35% improvement in exergy efficiency; economic study emphasized the impact of condenser temperature optimization on operational cost reduction.
My Role: Conceptualization, methodology, formal analysis, and writing – original draft.
Investigated advanced supercritical CO₂ (sCO₂) Brayton cycles (Recompression, Partial Cooling, Main Compression Intercooling) for Concentrated Solar Power (CSP) applications through energy–exergy analysis and multi-objective optimization.
Integrated machine learning models (ANN, RF, XGBoost, LightGBM, etc.) with Genetic Algorithm and TOPSIS to optimize system performance considering climatic variations.
Achieved 1.68% and 7.87% performance enhancement over conventional recompression and partial cooling cycles, respectively.
My Role: Conceptualization, methodology, Supervision
Proposed a solar-assisted repowering strategy for a 200 MW regenerative reheating Rankine cycle thermal power plant to improve energy–exergy efficiency and reduce fuel usage.
Analyzed 14 repowering cases with various combinations of single, double, and triple Feed Water Heater (FWH) replacements using solar-powered heat exchangers.
Parametric studies performed on the most promising configurations using EES-based modeling under varying steam and condenser pressure conditions.
In the best scenario (Case 12), achieved net power output of 225 MW, with energy efficiency of 39.73% and exergy efficiency of 43.99%, offering a pathway for sustainable and optimized power plant performance.
My Role: Conceptualization, methodology, Supervision
Proposed a hybrid Marine Energy Recovery System (MERS) combining a supercritical CO₂ Brayton power cycle and a flash-tank-enhanced transcritical CO₂ refrigeration cycle for simultaneous power generation and cooling onboard ships.
Integrated ORC, shared recuperator, and gas cooler to improve system synergy and performance under marine waste heat recovery conditions.
Achieved energy and exergy efficiencies of 54.62% and 54.90%, with 717.55 kW power output increase and 515.7 kW additional cooling over the baseline.
Multi-objective optimization using ANN + GA revealed an optimal condition yielding 74.95% energy efficiency and 6890.55 kW net power output, highlighting the system’s potential for sustainable maritime applications.
My Role : Conceptualization, methodology, Supervision
Proposed an Advanced Cooling and Power with LNG Utilization (ACPLU) system combining transcritical CO₂-LNG cycle, Organic Rankine Cycle (ORC), and Absorption Refrigeration System (ARS) for enhanced second-law efficiency and cold energy recovery.
Sensitivity analysis was conducted on operating conditions including turbine inlet pressures, heat source temperatures, and pinch point differentials.
ACPLU achieved a second law efficiency of 27.3% and net power output of 11.76 MW; further improved to 29.06% and 12.27 MW using Cyclopentane as ORC fluid.
Multi-objective optimization using ANN-GA improved the system to 28.11% efficiency and 14.16 MW net output, with thermo-economic analysis yielding a cost rate of $9.121/GJ.
My Role : Conceptualization, methodology, Supervision
Investigated four advanced cascaded systems combining Double Effect Absorption Cycles (DEAC) (in Series and Parallel) with ejector-enhanced and ejector-injection-enhanced VCR cycles, using LiBr/H₂O and R41 as working fluids.
Introduced Refrigerant Heat Exchanger (RHX) and ejector technologies to reduce total input power, increase COP, and improve waste heat utilization.
Among all configurations, EI-DAC (Parallel) showed the best performance with ~18% COP improvement and ~17.5% higher exergy efficiency compared to conventional series DEAC.
Highlighted performance sensitivity to evaporator temperature, entrainment ratio, and ejector pressure drop, demonstrating the need for precise control for optimal efficiency.
My Role : Conceptualization, methodology, Analysis, Supervision
Proposed an integrated SMR–MED-TVC system combining Single Mixed Refrigerant (SMR) liquefaction with multi-effect distillation (MED) using a Liquid Vapor Ejector (LVE) to harness waste heat from intercoolers.
Developed a Python-based simulation code, validated against existing literature, to perform energy and exergy analysis along with extensive parametric studies.
Key findings show up to 289.90% LNG production increase with higher refrigerant flow rate, but with a 74.22% decrease in distillate output, identifying critical trade-offs.
Water mass flow rate and inlet temperature were found to significantly affect distillate, brine, and GOR, offering design guidance for sustainable waste heat recovery and clean water generation.
My Role: Conceptualization, methodology, Analysis, Supervision
Introduced two advanced modifications to the Triple Cascade Refrigeration System (TCRS): Suction Line Heat Exchanger (SLHX-VCR) and Flash Tank (FT-VCR), improving ultra-low temperature system performance.
Conducted Advanced Exergy Analysis (AEA) and multi-objective optimization using Artificial Neural Networks (ANN) and NSGA-II, selecting the optimal configuration using TOPSIS.
Achieved COP of 0.7 and Avoidable Exergy Destruction of 6.3 kW, while minimizing Plant Cost Rate ($33,728) and CO₂ emissions (62,119 kg/year) at –105 °C evaporator temperature.
ANN-based MOO reduced optimization time by ~96% compared to direct numerical methods, and identified key exergy destruction sources to guide future design improvements.
My Role: Conceptualization, methodology, Analysis, Supervision
Proposed a nuclear-driven hybrid power and cooling system combining a reheat-recompression main compression intercooling sCO₂ Brayton cycle with a double-effect absorption refrigeration cycle for optimal energy utilization.
Conducted exergoeconomic modeling and parametric analysis, Employed Genetic Algorithm (GA) with multi-objective optimization on EUF, exergy efficiency (ηₑₓ), and unit cost (cp,tot), generating 84 Pareto optimal solutions; LINMAP was used to select the most balanced point.
At optimal design conditions, the system achieved EUF of 69.12%, exergy efficiency of 77.07%, power output of 400.4 MW, cooling of 116.2 MW, and minimum unit cost of $9.46/GJ, outperforming conventional systems.
My Role: Conceptualization, methodology, Analysis, Supervision