Affiliations 

  • 1 Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Indonesia
  • 2 Faculty of Engineering, Warith Al-Anbiyaa University, Karbala, 56001, Iraq
  • 3 Department of Petroleum Engineering, Al-Amarah University College, Maysan, Iraq
  • 4 Department of Chemistry, School of Sciences, Jain (Deemed-to-be) University, Bengaluru, Karnataka, 560069, India
  • 5 - School of Pharmacy-Adarsh Vijendra Institute of Pharmaceutical Sciences, Shobhit University, Gangoh, Uttar Pradesh, 247341, India
  • 6 Chemical Engineering and Petroleum Industries Department, Al-Mustaqbal University, Babylon, 51001, Iraq
  • 7 - Independent Researcher, India
  • 8 Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
  • 9 Department of Production and Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India
Heliyon, 2024 Aug 30;10(16):e35171.
PMID: 39253151 DOI: 10.1016/j.heliyon.2024.e35171

Abstract

In this research, aligned with global policies aimed at reducing CO2 emissions from traditional power plants, we developed a holistic energy system utilizing solar, wind, and ocean thermal energy sources, tailored to regions optimal for ocean thermal energy conversion (OTEC). The selected site, characterized by favorable wind and solar conditions close to areas with high OTEC potential, is designed to meet the electricity needs of a coastal community. The system's core components include an Organic Rankine Cycle, turbines, thermoelectric elements, pumps, a heat exchanger, a wind turbine, and a solar collector. A detailed system analysis and thermodynamic evaluation based on thermodynamic principles were carried out using the Engineering Equation Solver (EES) software. Key factors such as wind speed, solar radiation, and collector area were critical in determining system performance. To enhance the system's effectiveness, we conducted a comprehensive comparison of optimization algorithms, incorporating the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and utilizing a Pareto front for value optimization. This approach significantly outperformed other algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA) in terms of system efficiency and cost-effectiveness. The developed system achieved an exergy efficiency of 14.46 % and a cost rate of $74.98 per hour, demonstrating its suitability for its intended functions. Moreover, exergoenvironmental evaluation was conducted for the proposed plant. The findings revealed that key component HEX has a high exergoenvironmental factor due to their use of hot water, which has zero unit exergoenvironmental impact. Additionally, pumps demonstrated a zero exergoenvironmental impact factor, indicating negligible component-related environmental impacts. Sensitivity analysis further evaluated critical performance parameters, revealing that increases in solar irradiation lead to decreased total system cost rates, while higher turbine temperatures resulted in a remarkable 14.08 % reduction in the system's cost rate. These results underscore the economic viability of operating the system at higher temperatures and strengthen the argument for its adoption from a financial perspective.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.