Evaluating Solar and Wind Energy Efficiency in Muş Province Using Real Meteorological Data

dc.contributor.authorTuǧal, Ihsan
dc.date.accessioned2026-07-13T12:15:07Z
dc.date.issued2025
dc.departmentMuş Alparslan Üniversitesi
dc.description9th International Artificial Intelligence and Data Processing Symposium, IDAP 2025 -- 6 September 2025 through 7 September 2025 -- Malatya -- 215321
dc.description.abstractThis study evaluates the solar and wind energy potential of Muş, Türkiye, utilizing daily solar radiation and wind speed data for 2023. Energy production was modeled for representative systems, and economic viability was assessed through unit energy cost calculations. Results demonstrate significantly greater annual electricity generation from wind energy (6,128kWh) compared to solar (3,722kWh), despite lower associated installation costs. Seasonal analysis reveals complementary patterns in resource availability. Economically, wind energy achieved a lower unit cost (1.20USD/kWh) than solar (3.98 USD/kWh). These findings indicate that hybrid wind-solar systems could substantially enhance both sustainability and economic viability for the region. © 2025 IEEE.
dc.identifier.doi10.1109/IDAP68205.2025.11222216
dc.identifier.isbn979-833158990-5
dc.identifier.scopus2-s2.0-105025012064
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP68205.2025.11222216
dc.identifier.urihttps://hdl.handle.net/20.500.12639/8632
dc.indekslendigikaynakScopus
dc.institutionauthorTuǧal, Ihsan
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof9th International Artificial Intelligence and Data Processing Symposium, IDAP 2025
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250701
dc.subjectEnergy Efficiency
dc.subjectMuş Province
dc.subjectRenewable Energy
dc.subjectSolar Energy
dc.subjectWind Energy
dc.titleEvaluating Solar and Wind Energy Efficiency in Muş Province Using Real Meteorological Data
dc.typeConference Object

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