Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Ahmad Shah Irshad
  • Gul Ahmad Ludin
  • Samiullah Ludin
  • M. H. Elkholy
  • Said Elias
  • Tomonobu Senjyu

Externe Organisationen

  • University of the Ryukyus
  • Kandahar University (KDRU)
  • Kabul Polytechnic University (KPU)
  • Zagazig University
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Details

OriginalspracheEnglisch
Aufsatznummer100599
Seitenumfang19
FachzeitschriftEnergy Conversion and Management: X
Jahrgang22
Frühes Online-Datum20 Apr. 2024
PublikationsstatusVeröffentlicht - Apr. 2024

Abstract

The widespread use of green energy sources creates a significant demand for energy storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one of the most dependable and cost-effective solutions, which uses the PV system on the water body combined with a pair of lakes with different heights. This study focuses on the load side as well as the PHS capacity factor and aims to lower the cost of energy (COE) by raising the PHS capacity factor. Since building a PHS requires a significant upfront investment, doing so will also lower the COE and enable the acquisition of PHS for large-scale power production, which will guarantee power access in large cities. To simulate the FPV-PHS system, the multi-objective genetic algorithm (MOGA) is employed. Sufficient power management is a prerequisite for achieving system reliability in the best possible hybrid energy system design and implementation. Considering the 60-year system lifespan, the net present cost (NPC) analysis shows that, out of all the communities evaluated, the FPV-PHS system has the lowest NPC and COE. For the optimal configuration (FPV (Block A) 105 MW, PHS 80 MW, FPV (Block B) 357 MW, and the current hydropower plant), the expected NPC and energy costs for implementing the hybrid energy system (HRS) at the chosen location are $44,737,613 and $40/MWh, respectively. The existing FPV system spans 4.65 km2 and lowers the evaporation fraction by 17,279,400 m3. The hybrid FPV-PHS system reduces annual CO2 emissions by 581,830 tons. Our research reveals that a hybrid floating PV and pump storage hydropower system offers more steady clean electricity, implying a great significance for power grid infrastructure.

Zitieren

Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application. / Irshad, Ahmad Shah; Ahmad Ludin, Gul; Ludin, Samiullah et al.
in: Energy Conversion and Management: X, Jahrgang 22, 100599, 04.2024.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Irshad, A. S., Ahmad Ludin, G., Ludin, S., Elkholy, M. H., Elias, S., & Senjyu, T. (2024). Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application. Energy Conversion and Management: X, 22, Artikel 100599. https://doi.org/10.1016/j.ecmx.2024.100599
Irshad AS, Ahmad Ludin G, Ludin S, Elkholy MH, Elias S, Senjyu T. Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application. Energy Conversion and Management: X. 2024 Apr;22:100599. Epub 2024 Apr 20. doi: 10.1016/j.ecmx.2024.100599
Irshad, Ahmad Shah ; Ahmad Ludin, Gul ; Ludin, Samiullah et al. / Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application. in: Energy Conversion and Management: X. 2024 ; Jahrgang 22.
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title = "Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application",
abstract = "The widespread use of green energy sources creates a significant demand for energy storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one of the most dependable and cost-effective solutions, which uses the PV system on the water body combined with a pair of lakes with different heights. This study focuses on the load side as well as the PHS capacity factor and aims to lower the cost of energy (COE) by raising the PHS capacity factor. Since building a PHS requires a significant upfront investment, doing so will also lower the COE and enable the acquisition of PHS for large-scale power production, which will guarantee power access in large cities. To simulate the FPV-PHS system, the multi-objective genetic algorithm (MOGA) is employed. Sufficient power management is a prerequisite for achieving system reliability in the best possible hybrid energy system design and implementation. Considering the 60-year system lifespan, the net present cost (NPC) analysis shows that, out of all the communities evaluated, the FPV-PHS system has the lowest NPC and COE. For the optimal configuration (FPV (Block A) 105 MW, PHS 80 MW, FPV (Block B) 357 MW, and the current hydropower plant), the expected NPC and energy costs for implementing the hybrid energy system (HRS) at the chosen location are $44,737,613 and $40/MWh, respectively. The existing FPV system spans 4.65 km2 and lowers the evaporation fraction by 17,279,400 m3. The hybrid FPV-PHS system reduces annual CO2 emissions by 581,830 tons. Our research reveals that a hybrid floating PV and pump storage hydropower system offers more steady clean electricity, implying a great significance for power grid infrastructure.",
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TY - JOUR

T1 - Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application

AU - Irshad, Ahmad Shah

AU - Ahmad Ludin, Gul

AU - Ludin, Samiullah

AU - Elkholy, M. H.

AU - Elias, Said

AU - Senjyu, Tomonobu

N1 - Funding Information: We acknowledge the grant of LUH for open access publication.

PY - 2024/4

Y1 - 2024/4

N2 - The widespread use of green energy sources creates a significant demand for energy storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one of the most dependable and cost-effective solutions, which uses the PV system on the water body combined with a pair of lakes with different heights. This study focuses on the load side as well as the PHS capacity factor and aims to lower the cost of energy (COE) by raising the PHS capacity factor. Since building a PHS requires a significant upfront investment, doing so will also lower the COE and enable the acquisition of PHS for large-scale power production, which will guarantee power access in large cities. To simulate the FPV-PHS system, the multi-objective genetic algorithm (MOGA) is employed. Sufficient power management is a prerequisite for achieving system reliability in the best possible hybrid energy system design and implementation. Considering the 60-year system lifespan, the net present cost (NPC) analysis shows that, out of all the communities evaluated, the FPV-PHS system has the lowest NPC and COE. For the optimal configuration (FPV (Block A) 105 MW, PHS 80 MW, FPV (Block B) 357 MW, and the current hydropower plant), the expected NPC and energy costs for implementing the hybrid energy system (HRS) at the chosen location are $44,737,613 and $40/MWh, respectively. The existing FPV system spans 4.65 km2 and lowers the evaporation fraction by 17,279,400 m3. The hybrid FPV-PHS system reduces annual CO2 emissions by 581,830 tons. Our research reveals that a hybrid floating PV and pump storage hydropower system offers more steady clean electricity, implying a great significance for power grid infrastructure.

AB - The widespread use of green energy sources creates a significant demand for energy storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one of the most dependable and cost-effective solutions, which uses the PV system on the water body combined with a pair of lakes with different heights. This study focuses on the load side as well as the PHS capacity factor and aims to lower the cost of energy (COE) by raising the PHS capacity factor. Since building a PHS requires a significant upfront investment, doing so will also lower the COE and enable the acquisition of PHS for large-scale power production, which will guarantee power access in large cities. To simulate the FPV-PHS system, the multi-objective genetic algorithm (MOGA) is employed. Sufficient power management is a prerequisite for achieving system reliability in the best possible hybrid energy system design and implementation. Considering the 60-year system lifespan, the net present cost (NPC) analysis shows that, out of all the communities evaluated, the FPV-PHS system has the lowest NPC and COE. For the optimal configuration (FPV (Block A) 105 MW, PHS 80 MW, FPV (Block B) 357 MW, and the current hydropower plant), the expected NPC and energy costs for implementing the hybrid energy system (HRS) at the chosen location are $44,737,613 and $40/MWh, respectively. The existing FPV system spans 4.65 km2 and lowers the evaporation fraction by 17,279,400 m3. The hybrid FPV-PHS system reduces annual CO2 emissions by 581,830 tons. Our research reveals that a hybrid floating PV and pump storage hydropower system offers more steady clean electricity, implying a great significance for power grid infrastructure.

KW - Capacity factor

KW - Cost of energy

KW - Energy storage system

KW - Hybrid energy system

KW - Power grid

KW - Renewable energy

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U2 - 10.1016/j.ecmx.2024.100599

DO - 10.1016/j.ecmx.2024.100599

M3 - Article

AN - SCOPUS:85191188454

VL - 22

JO - Energy Conversion and Management: X

JF - Energy Conversion and Management: X

M1 - 100599

ER -

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