Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D University of Malaya, Kuala Lumpur, 59990 Malaysia

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Farah Ramadhani,

Corresponding Author

Farah Ramadhani

[email protected]

orcid.org/0000-0001-9055-3642

Physics Department, Faculty of Science, University of Malaya, Kuala Lumpur, 50603 Malaysia

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Mohd Azlan Hussain,

Corresponding Author

Mohd Azlan Hussain

[email protected]

orcid.org/0000-0001-8473-1529

Chemical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603 Malaysia

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Hazlie Mokhlis,

Corresponding Author

Hazlie Mokhlis

[email protected]

orcid.org/0000-0002-1166-1934

Electrical Engineering Department, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603 Malaysia

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Oon Erixno,

Oon Erixno

orcid.org/0000-0002-6147-0263

Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D University of Malaya, Kuala Lumpur, 59990 Malaysia

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First published: 21 October 2022

https://doi.org/10.1002/ente.202200243

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Abstract

This study focuses on designing an optimum polygeneration system for residential homes employing solid oxide fuel cells as the prime mover. Optimization of system components is conducted through multi-objective and multi-criteria combined with decision-making to define the priority of each criterion used. Genetic algorithm (GA) and particle swarm optimization (PSO) techniques are applied to find the optimum capacity and analytic hierarchy process as the decision-making method. Based on the results, the combination of GA and analytic hierarchy process (AHP) gets the best non-dominated solution among the ten solutions generated, superior in power loss and energy cost criteria. The preference design of “energy loss-energy cost” gets the highest priority rank of 0.188 with an efficiency of 0.797, primary energy saving of 0.651, CS of 0.424, carbon dioxide reduction of 0.626, and loss probability of 0.153. The optimum polygeneration system has higher primary energy-saving, CS, and carbon dioxide reduction by about 81.29%, 54%, and 99%, respectively, compared to the unoptimized systems.

Conflict of Interest

The authors declare no conflict of interest.

Open Research

Data Availability Statement

The calculated data presented in this paper is available for access granted by the corresponding author. However, the original raw data is inaccessible due to the continuity of this study for further research.

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Volume10, Issue12

December 2022

2200243

Optimal Sizing of Combined Stationary Solid Oxide Fuel Cell-Based Polygeneration System and Electric Vehicle Charging Considering Multi-Criteria Decisions

Abstract

Conflict of Interest

Open Research

Data Availability Statement

References

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Optimal Sizing of Combined Stationary Solid Oxide Fuel Cell-Based Polygeneration System and Electric Vehicle Charging Considering Multi-Criteria Decisions

Abstract

Conflict of Interest

Open Research

Data Availability Statement

References

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