Techno-economic analysis of a stand-alone hybrid renewable energy system with hydrogen production and storage options

dc.contributor.author Yildiz Kalinci
dc.contributor.author A. Hepbasli
dc.contributor.author I. Dincer
dc.date.accessioned 2025-10-06T17:52:21Z
dc.date.issued 2015
dc.description.abstract In the present study a hybrid renewable energy system using hydrogen energy as energy storage option is conceptually modeled for the Bozcaada Island in Turkey. The system is investigated from the techno-economic point of view. The Hybrid Optimization Model for Electric Renewable (HOMER) tool is used to define the optimum size of the equipment based on the geographical and meteorological data of the island. The HOMER uses the net present cost (NPC) method while ranking the system suitability. Also the cost of energy (COE) is calculated with the total annual cost (AC<inf>T</inf>). The study considers two scenarios which are only wind turbine and wind turbine/PV hybrid systems. Using the wind turbine/PV array system instead of wind turbine only decreases the NPC from $14624343 to $11960698. Also it decreases the hydrogen tank capacity to 400 kg and hence affects other equipment size and NPC. So the COE varies between $1.016/kWh and $0.83/kWh. According to this the optimum system components are defined as PV array-300 kW wind turbine (E33x2) fuel cell-100 kW converter-150 kW electrolyzer-200 kW and hydrogen tank-400 kg to supply a 1875 kWh/d primary load. Furthermore the effects of some parameters and the equipment on NPC are examined. Increasing potential of the renewable energy sources such as annual average wind speed or solar radiation decreases both COE and NPC. While the annual average solar radiation increases to 5 kWh/m2/d the NPC and COE decrease to $11673704 and $0.81/kWh. Likewise an increase in the annual average wind speed will decrease the costs to $11452712 and $0.795/kWh respectively. Also increasing the real interest i to 5% increases the COE to $1.043/kWh as expected. © 2021 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.ijhydene.2014.10.147
dc.identifier.isbn 0080311393
dc.identifier.issn 03603199
dc.identifier.issn 0360-3199
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930317494&doi=10.1016%2Fj.ijhydene.2014.10.147&partnerID=40&md5=a2ca51d514f956cf3cdfb54ab77f3332
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9902
dc.language.iso English
dc.publisher Elsevier Ltd
dc.relation.ispartof International Journal of Hydrogen Energy
dc.source International Journal of Hydrogen Energy
dc.subject Cost Assessment, Electricity, Hydrogen Production, Renewable Energy, Digital Storage, Economic Analysis, Electric Energy Storage, Electricity, Fuel Cells, Hybrid Systems, Hydrogen Storage, Meteorology, Photovoltaic Cells, Renewable Energy Resources, Solar Radiation, Tanks (containers), Wind, Wind Turbines, Annual Average Wind Speed, Cost Assessment, Hybrid Optimization, Hybrid Renewable Energy Systems, Meteorological Data, Renewable Energies, Renewable Energy Source, Techno-economic Analysis, Hydrogen Production
dc.subject Digital storage, Economic analysis, Electric energy storage, Electricity, Fuel cells, Hybrid systems, Hydrogen storage, Meteorology, Photovoltaic cells, Renewable energy resources, Solar radiation, Tanks (containers), Wind, Wind turbines, Annual average wind speed, Cost assessment, Hybrid optimization, Hybrid renewable energy systems, Meteorological data, Renewable energies, Renewable energy source, Techno-Economic analysis, Hydrogen production
dc.title Techno-economic analysis of a stand-alone hybrid renewable energy system with hydrogen production and storage options
dc.type Article
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gdc.description.endpage 7664
gdc.description.startpage 7652
gdc.description.volume 40
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 276
gdc.plumx.crossrefcites 60
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gdc.plumx.scopuscites 321
oaire.citation.endPage 7664
oaire.citation.startPage 7652
person.identifier.scopus-author-id Kalinci- Yildiz (23477781600), Hepbasli- A. (55131010100), Dincer- I. (56278550500)
project.funder.name The authors gratefully acknowledge the support provided by Dokuz Eylul University Yasar University and University of Ontario Institute of Technology as well as the Natural Sciences and Engineering Research Council of Canada .
publicationissue.issueNumber 24
publicationvolume.volumeNumber 40
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