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dc.contributor.authorBasheer, Yasir
dc.contributor.authorMian Qaisar, Saeed
dc.contributor.authorWaqar, Asad
dc.contributor.authorLateef, Fahad
dc.contributor.authorAlzahrani, Ahmad
dc.date.accessioned2024-01-18T06:27:46Z
dc.date.available2024-01-18T06:27:46Z
dc.date.issued2023-10-01
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2023.3300228en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/1363
dc.descriptionThanks to the Effat University for financially supporting this work under the grant number (UC#9/12June2023/7.1-21(4)7).en_US
dc.description.abstractThe cement industry is a major energy consumer, with most of its costs associated with fuel and energy requirements. While traditional thermal power plants generate electricity, they are both harmful and inefficient. In this study, battery depth of discharge (DOD) is evaluated for four different battery technologies in the context of the cement industry. The battery technologies evaluated are lead-acid (LA), lithium-ion (Li-ion), vanadium redox (VR), and nickel-iron (Ni-Fe). Five cement plants in Pakistan are considered, including Askari Cement Plant, Wah (ACPW), Bestway Cement Plant, Kalar Kahar (BCPKK), Bestway Cement Plant, Farooqia (BCPF), Bestway Cement Plant, Hattar (BCPH), and DG Cement Plant, Chakwal (DGCPC). Four hybrid energy generation models (HEGMs) were proposed using the HOMER pro software. HEGM-1 combines a diesel generator, photovoltaic system, converter, and battery system, while HEGM-2 consists of a photovoltaic system, converter, and battery system. HEGM-3 is a grid-connected version of HEGM-1 and HEGM-4 is the grid-connected version of HEGM-2. A reference base model using only grid connection is also considered. A multi-criteria decision analysis (MCDA) was performed using a cumulative objective function (COF) that includes net present cost (NPC), levelized cost of energy (LCOE), and greenhouse gas (GHG) emissions. The main objective was to maximize COF while minimizing NPC, LCOE, and GHG emissions using optimal battery technology and DOD. The results indicate that VR is the most optimal battery technology, with a DOD of 10% achieved in DGCPC using HEGM-3. This results in a 61.49% reduction in NPC, 78.62% reduction in LCOE, and 84.00% reduction in GHG emissions compared to the base model.en_US
dc.description.sponsorshipEffat Universityen_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectBattery technologiesen_US
dc.subjectDepth of dischargeen_US
dc.subjectGreenhouse gas emissionsen_US
dc.subjectHOMER pro optimizationen_US
dc.subjectLevelized cost of electricityen_US
dc.subjectNet present costen_US
dc.subjectTechno-economic analysisen_US
dc.titleInvestigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Proen_US
dc.source.journalIEEE Accessen_US
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labEnergy Laben_US
dc.subject.KSAENERGYen_US
dc.contributor.ugstudent0en_US
dc.contributor.alumnae0en_US
dc.title.projectArtificial Intelligence enabled performance evaluation of distribution networks under high penetration of Renewable Distributed Generation and Electric Vehiclesen_US
dc.source.indexScopusen_US
dc.source.indexWoSen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.contributor.pgstudent1en_US
dc.contributor.firstauthorBasheer, Yasir


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