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A New Algorithm for Optimal Design of the Recirculating Cooling Water System of Thermal Power Plants Part II: Case Study 2

DOI: 10.4236/epe.2025.178013, PP. 241-247

Keywords: Thermal Power Plant, Cooling Water System, Cold End System, Natural Draft Cooling Tower, Steam Condenser, Optimization

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Abstract:

An innovative approach to the optimization of process parameters and equipment sizes of the recirculating cooling water system for various types of thermal power plants (TPPs) with natural draft wet cooling towers is presented in this paper. This article is organized into several parts to illustrate the application of the proposed optimization method using case studies. Case Study 2 is intended to demonstrate how different combinations of the decision variables affect the optimization results compared to the optimal base case when all decision variables are optimized.

References

[1]  Popadić, A.V. (2025) A New Algorithm for Optimal Design of the Recirculating Cooling Water System of Thermal Power Plants Part I: Description of the Methodology & Case Study 1. Energy and Power Engineering, 17, 217-240.
https://doi.org/10.4236/epe.2025.178012
[2]  Black, A.P. (2019) CS 350 Algorithms and Complexity, Lecture 6: Exhaustive Search Algorithms. Department of Computer Science, Portland State University.
https://web.cecs.pdx.edu/~black/cs350/Lectures/lec06-Exhaustive%20Search.pdf
[3]  Lincke, T.R. (2002) Exploring the Computational Limits of Large Exhaustive Search Problems. Ph.D. Thesis, Swiss Federal Institute of Technology.
https://doi.org/
https://doi.org/10.3929/ethz-a-004442444

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