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Optimizing Energy Management in Hybrid Systems: A Case Study on PV, Battery, and Hydrogen Electrolysis

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 13 No. 4 (2025) · hlm. 936–951

DOI
10.52549/ijeei.v13i4.7173
ISSN
2089-3272, 2089-3272
Terbit
2025-12-03
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

Energy-intensive facilities face significant challenges in managing energy costs while ensuring reliable power for critical operations. This paper explores the integration of renewable energy and hydrogen technologies in a hybrid system, aimed at reducing grid dependency, minimizing energy costs, and contributing to environmental sustainability. A hybrid energy system comprising solar photovoltaic (PV) generation, battery storage, hydrogen production via electrolysis, and a proton exchange membrane (PEM) fuel cell was developed and simulated using MATLAB Simulink. The system was controlled by an intelligent energy management system (EMS) based on fuzzy logic, which dynamically prioritized energy sources to ensure operational autonomy. A hospital in Jeddah is used as a case study to demonstrate the application of this hybrid system. Simulation results showed that the hybrid system could generate up to 3,017,359 kWh annually, reducing the cost of energy (COE) from $0.19/kWh to $0.11/kWh. The system alleviated grid load by 3,000,000 kWh/year and reduced COâ‚‚ emissions by 1.5 million kg annually. The PV array demonstrated a maximum power point tracking (MPPT) efficiency of 93.6%, and the PEM fuel cell achieved an efficiency of 65%. The fuzzy logic EMS effectively optimized energy flow, ensuring reliable power supply without frequent reliance on grid power. These findings highlight the potential of hybrid renewable energy systems for enhancing energy resilience and sustainability in energy-intensive facilities.

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9 penulis · 22 tautan kepenulisan bersama · 12 lintas organisasi

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  • Effat University
  • University of Wah
  • Nahda University
  • University of Engineering and Technology Taxila
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Rekan penulisOrganisasiArtikel bersama
Muhammad Haroon YaqubUniversity of Wah2
Aamir HanifUniversity of Wah2
Mian Farhan UllahAfiliasi tidak diketahui2
Muhammad Shahzaib ShahUniversity of Engineering and Technology Taxila2
Aziza I. HusseinEffat University2

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Optimizing Energy Management in Hybrid Systems: A Case Study on PV, Battery, and Hydrogen Electrolysis</dc:title>
	<dc:creator xml:lang="en">Rada, Rawan A</dc:creator>
	<dc:creator xml:lang="en">Anwar, Naveed</dc:creator>
	<dc:creator xml:lang="en">Hussein, Aziza I.</dc:creator>
	<dc:creator xml:lang="en">M. Aly, Rabab Hamed</dc:creator>
	<dc:subject xml:lang="en">Energy Management</dc:subject>
	<dc:subject xml:lang="en">Hybrid Systems</dc:subject>
	<dc:subject xml:lang="en">Hydrogen Electrolysis</dc:subject>
	<dc:subject xml:lang="en">Fuzzy Logic Control</dc:subject>
	<dc:subject xml:lang="en">Photovoltic System</dc:subject>
	<dc:subject xml:lang="en">Hydrogen Production</dc:subject>
	<dc:description xml:lang="en">Energy-intensive facilities face significant challenges in managing energy costs while ensuring reliable power for critical operations. This paper explores the integration of renewable energy and hydrogen technologies in a hybrid system, aimed at reducing grid dependency, minimizing energy costs, and contributing to environmental sustainability. A hybrid energy system comprising solar photovoltaic (PV) generation, battery storage, hydrogen production via electrolysis, and a proton exchange membrane (PEM) fuel cell was developed and simulated using MATLAB Simulink. The system was controlled by an intelligent energy management system (EMS) based on fuzzy logic, which dynamically prioritized energy sources to ensure operational autonomy. A hospital in Jeddah is used as a case study to demonstrate the application of this hybrid system. Simulation results showed that the hybrid system could generate up to 3,017,359 kWh annually, reducing the cost of energy (COE) from $0.19/kWh to $0.11/kWh. The system alleviated grid load by 3,000,000 kWh/year and reduced COâ‚‚ emissions by 1.5 million kg annually. The PV array demonstrated a maximum power point tracking (MPPT) efficiency of 93.6%, and the PEM fuel cell achieved an efficiency of 65%. The fuzzy logic EMS effectively optimized energy flow, ensuring reliable power supply without frequent reliance on grid power. These findings highlight the potential of hybrid renewable energy systems for enhancing energy resilience and sustainability in energy-intensive facilities.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2025-12-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/7173</dc:identifier>
	<dc:identifier>10.52549/ijeei.v13i4.7173</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 13 No. 4: December 2025; 936-951</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/7173/1041</dc:relation>
</oai_dc:dc>