Osman Taylan

Prof. Dr. Osman Taylan

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2014 in Applied Soft Computing
Verified
Journal Article
Closed access
OTOsman Taylan
Osman Taylan
ABAbdallah O. Bafail
Abdallah O. Bafail
RAReda M.S. Abdulaal
Reda M.S. Abdulaal
MKMohammed R. Kabli
Mohammed R. Kabli

1 January 2022 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Closed access
CLChangqi Luo
Changqi Luo
BKBehrooz Keshtegar
Behrooz Keshtegar
SZShun Peng Zhu
Shun Peng Zhu
OTOsman Taylan
Osman Taylan
XNXiao-Peng Niu
Xiao-Peng Niu

1 September 2020 in Carbohydrate Polymers
Verified
Journal Article
Closed access
Mustafa Tahsin YilmazMustafa Tahsin Yilmaz
Mustafa Tahsin Yilmaz
OTOsman Taylan
Osman Taylan
CKCanan Yağmur KARAKAŞ
Canan Yağmur KARAKAŞ
EDEnes Dertli
Enes Dertli

31 March 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
OTOsman Taylan
Osman Taylan
RARami Alamoudi
Rami Alamoudi
MKMohammad Kabli
Mohammad Kabli
AAAlawi AlJifri
Alawi AlJifri
FRFares Ramzi
Fares Ramzi
Enrique Herrera-ViedmaEnrique Herrera-Viedma
Enrique Herrera-Viedma
Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy systems and managing the resolution of conflicts are the results of high energy demand for growing economies. Due to some challenging problems of fossil fuels, energy production and distribution from alternative sources are getting more attention. This study aimed to reveal the most proper energy systems in Saudi Arabia for investment. Hence, integrated fuzzy AHP (Analytic Hierarchy Process), fuzzy VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) and TOPSIS (Technique for Order Preferences by Similarity to Idle Solution) methodologies were employed to determine the most eligible energy systems for investment. Eight alternative energy systems were assessed against nine criteria—power generation capacity, efficiency, storability, safety, air pollution, being depletable, net present value, enhanced local economic development, and government support. Data were collected using the Delphi method, a team of three decision-makers (DMs) was established in a heterogeneous manner with the addition of nine domain experts to carry out the analysis. The fuzzy AHP approach was used for clarifying the weight of criteria and fuzzy VIKOR and TOPSIS were utilized for ordering the alternative energy systems according to their investment priority. On the other hand, sensitivity analysis was carried out to determine the priority of investment for energy systems and comparison of them using the weight of group utility and fuzzy DEA (Data Envelopment Analysis) approaches. The results and findings suggested that solar photovoltaic (PV) is the paramount renewable energy system for investment, according to both fuzzy VIKOR and fuzzy TOPSIS approaches. In this context our findings were compared with other works comprehensively.

1 September 2019 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
OTOsman Taylan
Osman Taylan
MYMustafa Tahsin Yilmaz
Mustafa Tahsin Yilmaz
EDEnes Dertli
Enes Dertli

25 February 2022 in Computer Methods in Applied Mechanics and Engineering
Verified
Journal Article
Closed access
SZShun-Peng Zhu
Shun-Peng Zhu
BKBehrooz Keshtegar
Behrooz Keshtegar
MSMohamed El Amine Ben Seghier
Mohamed El Amine Ben Seghier
EZEnrico Zio
Enrico Zio
OTOsman Taylan
Osman Taylan