Title: Hybrid COA-IWGAN approach using thermal-solar integrated system with minimised carbon footprint

Authors: M. Jagadeesh Kumar; Kurapaty T. Raghuram; G. Tulasichandra Sekhar; P. Meenalochini

Addresses: Department of Electrical and Electronics Engineering, Sri Sairam Institute of Technology, Tambaram, Chennai, India ' Mechanical Engineering Department, Government Polytechnic, Kothagudem, Telangana, India ' Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Chilakapalem, Etcherla, Srikakulam, AndhraPradesh – 532410, India ' Department of Electrical and Electronics Engineering, Sethu Institute of Technology, Pulloor, Kariapatti – 626115, India

Abstract: This paper proposes a hybrid technique for a thermal-solar system. The proposed technique combines the cheetah optimisation algorithm (COA) and the improved Wasserstein generative adversarial network (IWGAN), commonly named COA-IWGAN. The aim is to decrease carbon emissions of the system. The COA generates the control signal of the voltage source converter (VSC), and IWGAN predicts the optimal control signal of the converter. The COA-IWGAN approach was performed MATLAB platform. From the result, the proposed method loss of carbon emission (LCE) is 54 CO₂KWh at 4% of loss of power supply probability (LPSP), cost is $0.522/kWh and exergy efficiency is 27%. The result shows proposed approach demonstrates significant improvements compared to existing methods.

Keywords: solar energy; thermal energy; carbon footprint; loss of carbon emission; thermoelectric generator; DC-DC converter.

DOI: 10.1504/IJEX.2025.144561

International Journal of Exergy, 2025 Vol.46 No.2, pp.117 - 133

Received: 01 Jul 2024
Accepted: 14 Aug 2024
Published online: 19 Feb 2025 *

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