Exergoeconomic Analysis and Multi Objective Optimization of a Nuclear Driven Integrated Cooling and Power Cycle using Response Surface Regression Modeling Coupled with Genetic Algorithm
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Department of Mechanical and Production Engineering(MPE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
The current study explores the thermal and economic performance of an innovative combined cooling and
power generation system integrating a reheat recompression main compression intercooling Supercritical
CO2 (sCO2) cycle with a double effect absorption refrigeration cycle. To assess the effects of different
input parameters on its performance, a detailed parametric study is conducted. The combined system has
been modeled and proposed to harness 600 MW of thermal energy from the nuclear reactor. The dataset
extracted from thermodynamic and exergoeconomic models has been utilized for response surface
regression modeling (RSM) and its accuracy has been evaluated using different error matrices. Finally,
multi-objective optimization has been conducted integrating the quadratic regression model with genetic
algorithm (GA) on three objective functions: energy utilization factor (EUF), exergy efficiency (ηex) and
total product unit cost (cp,tot) which provided 84 Pareto optimal datasets. Genetic algorithm and LINMAP
are incorporated to select an ideal operating condition from the pareto optimal solutions. Single point
optimization revealed that the novel cycle has a maximum EUF, and second law efficiency of 69.12% and
77.07% respectively with a minimum unit cost of 9.46 $/GJ. The cycle generates 400.4 MW of power and
116.2 MW of evaporative cooling when operated at basic design point. Key findings from this work
demonstrate substantial performance enhancements in the integrated cycle compared to the conventional
ones integrating the sCO2 cycle with a single effect ARS. This research could significantly advance the
harnessing of nuclear energy by optimizing advanced combined power and cooling cycles. Improving
system efficiency and economic feasibility could pave the way for major advancements in nuclear power
generation by introducing new areas for research and innovation.
Description
Supervised by
Dr. Mohammad Mojurul Ehsan,
Professor,
Co-supervised by
Dr. Md. Rezwanul Karim,
Department of Production and Mechanical Engineering(MPE),
Islamic University of Technology (IUT)
Board Bazar, Gazipur-1704, Bangladesh
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Mechanical and Production Engineering, 2025
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