Title: Performance improvement of SWH system using fuzzy-grey relational and POA

Authors: G. Senthil Kumaran; R. Manivannan; R. Ramesh; K. Shanmugapriya

Addresses: Department of Computer Science and Engineering, Meenakshi Ramaswamy Engineering College, Thathanur, Ariyalur, Tamil Nadu, 621804, India ' Department of Computer Science and Engineering, Meenakshi Ramaswamy Engineering College, Thathanur, Ariyalur, Tamil Nadu, 621804, India ' Department Electrical and Electronics Engineering, Meenakshi Ramaswamy Engineering College, Thathanur, Ariyalur, Tamil Nadu, 621804, India ' Department Electrical and Electronics Engineering, Meenakshi Ramaswamy Engineering College, Thathanur, Ariyalur, Tamil Nadu, 621804, India

Abstract: This manuscript proposes a hybrid method for modelling solar water heating systems (SWHS) for the residential sector. The proposed hybrid method is the combination of fuzzy grey relational analysis (F-GRA) and pelican optimisation algorithm (POA), together called as F-GRA/POA method. The main aim of the proposed method is to increase the solar thermal energy generation and reduce the system cost. The operation of heating system is depending on solar thermal collectors, heat-only boiler, heat pumps, electric heaters, and thermal energy storage units. The F-GRA/POA method is utilised to calculate the maximal solar thermal energy generation with minimal possible net cost of the system under various constraints. Also, the proposed method considers the reduction of heat demand because of the thermal insulation of buildings, the amount based on the lowest net heat cost is analysed. Then, the performance of the proposed method is implemented in MATLAB site and compared with existing methods.

Keywords: solar water heater; thermal energy storage; residential sector; solar thermal collectors; electric heaters; heat pumps.

DOI: 10.1504/IJHVS.2024.141420

International Journal of Heavy Vehicle Systems, 2024 Vol.31 No.5, pp.579 - 603

Received: 12 Aug 2023
Accepted: 08 Nov 2023
Published online: 12 Sep 2024 *

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