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Sahand Daneshvar
Department of Industrial Engineering, Faculty of Engineering, Eastern Mediterranean University, Via Mersin 10, Famagusta 99628, TRNC, Turkey

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Journal article
Published: 01 July 2021 in Sustainability
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This paper examines the dual efficiency of bioenergy, renewable hydro energy, solar energy, wind energy, and geothermal energy for selected OECD countries through an integrated model with energy, economic, environmental, and social dimensions. Two questions are explored: Which renewable energy alternative is more dual efficient and productive? Which renewable energy alternative is best for a particular country? Data envelopment analysis (DEA) is used for the efficiency evaluation, and the global Malmquist productivity index is applied for productivity analysis. Results indicate bioenergy as the most efficient renewable energy alternative with a 20% increase in average efficiency in 2016 compared to 2012. Renewable hydro energy, wind energy, and solar energy show a 17.5%, 16%, and 11% increase, respectively. The average efficiency growth across all renewable energy alternatives signifies major advancement. Country performance in renewable energy is non-monolithic; therefore, they should customize their renewable energy portfolio accordingly to their strengths to enhance renewable energy efficiency. Renewable hydro appears to have the most positive productivity change in 2016 compared to 2012, while solar energy regressed in productivity due to its scale inefficiency. All renewable energy alternatives have relatively equal average pure efficiency change. The positive trend in efficiency and productivity provides an incentive for policy makers to pursue further development of renewable energy technologies with a focus on improving scale efficiency.

ACS Style

Sedef Kara; Mustapha Ibrahim; Sahand Daneshvar. Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries. Sustainability 2021, 13, 7401 .

AMA Style

Sedef Kara, Mustapha Ibrahim, Sahand Daneshvar. Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries. Sustainability. 2021; 13 (13):7401.

Chicago/Turabian Style

Sedef Kara; Mustapha Ibrahim; Sahand Daneshvar. 2021. "Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries." Sustainability 13, no. 13: 7401.

Journal article
Published: 17 March 2020 in Journal of Energy Storage
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Wind power integration with high penetration in a power system is indispensable. However, wind power integration, especially with high level, raises the power system instability problems due to its natural variability and unpredictability, which increases system uncertainties. Thus, uncertainties and correlations amongst wind farms should be considered in a power system operation and planning. One of the best solutions for facilitating the wind power integration is the installation of an energy storage system (ESS). However, the location and sizing of ESSs should be optimally planned to achieve maximum benefits such as minimising total cost, time shifting, reliability and power quality enhancement, minimising power loss, improving the power factor and providing environmental support. In this paper, a new probabilistic discretising method is derived and developed to discretise the continuous joint power distribution of correlated wind farms. Combining the new probabilistic discretising method with a multi-objective hybrid particle swarm optimisation (MOPSO) and non-dominated sorting genetic algorithm (NSGAII), a new hybrid probabilistic optimisation algorithm is proposed. The proposed hybrid algorithm aims to search for the best location and size of energy storage system (ESSs) and considers the power uncertainties of multi-correlated wind farms. The objective functions to be minimised include a system's total expected cost restricted by investment budget, total expected voltage deviation and total expected carbon emission. IEEE 30-bus and IEEE 57-bus systems are adopted to perform the case studies using the proposed hybrid probabilistic optimisation algorithm. The simulation results demonstrate the effectiveness of the proposed hybrid method in solving the optimal allocation problem of ESSs and considering the uncertainties of wind farms’ output power and the correlation amongst them.

ACS Style

Ahmad AL Ahmad; Reza Sirjani; Sahand Daneshvar. New hybrid probabilistic optimisation algorithm for optimal allocation of energy storage systems considering correlated wind farms. Journal of Energy Storage 2020, 29, 101335 .

AMA Style

Ahmad AL Ahmad, Reza Sirjani, Sahand Daneshvar. New hybrid probabilistic optimisation algorithm for optimal allocation of energy storage systems considering correlated wind farms. Journal of Energy Storage. 2020; 29 ():101335.

Chicago/Turabian Style

Ahmad AL Ahmad; Reza Sirjani; Sahand Daneshvar. 2020. "New hybrid probabilistic optimisation algorithm for optimal allocation of energy storage systems considering correlated wind farms." Journal of Energy Storage 29, no. : 101335.

Research article
Published: 08 January 2020 in Quality and Reliability Engineering International
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Failure modes and effects analysis (FMEA) is a safety and reliability technique that is widely used to evaluate, design, and process a system against diverse possible ways through which the potential failure has a tendency to occur. In conventional FMEA, the risk evaluation is determined by risk priority number (RPN) obtained by multiplying of three risk factors—severity, occurrence, and detection. However, because of many shortages in conventional FMEA, the RPN scores have been widely criticized along issues bothering on ambiguity and vagueness, scoring, appraising, evaluating, and selecting corrective actions. In this paper, we propose a new integrated fuzzy smart FMEA framework where the combination of fuzzy set theory, analytical hierarchy process (AHP), and data envelopment analysis (DEA) is used, respectively, to handle uncertainty and to increase the reliability of the risk assessment. These are achieved by employing a heterogeneous group of experts and determining the efficiency of FMEA mode with adequate priority and corrective actions using RPN, time, and cost as indicators. A numerical example (aircraft landing system) is provided to exemplify the feasibility and effectiveness of the proposed model. The outputs of the proposed model compared with the conventional risk assessment technique results show its effectiveness, reliability, and propensity for real applications.

ACS Style

Sahand Daneshvar; Mohammad Yazdi; Kehinde A. Adesina. Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system. Quality and Reliability Engineering International 2020, 36, 890 -909.

AMA Style

Sahand Daneshvar, Mohammad Yazdi, Kehinde A. Adesina. Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system. Quality and Reliability Engineering International. 2020; 36 (3):890-909.

Chicago/Turabian Style

Sahand Daneshvar; Mohammad Yazdi; Kehinde A. Adesina. 2020. "Fuzzy smart failure modes and effects analysis to improve safety performance of system: Case study of an aircraft landing system." Quality and Reliability Engineering International 36, no. 3: 890-909.

Journal article
Published: 22 August 2019 in Science of The Total Environment
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Depletion of natural resources needs quantification and efficiency analysis of the use of resources to improve sustainability. This paper evaluates the efficiency of Organization for Economic Co-Operation and Development (OECD) countries in terms of Water-Energy-Land-Food (WELF-Nexus) to ensure sustainability and environmental viability for both present and future generations. An input-output index system is built at a transnational level. Composite and intrinsic indicators are introduced to incorporate the interconnections and tradeoffs between sectors of the nexus and outcomes of the nexus. The nonparametric benchmarking order-α model, resulting from Data Envelopment Analysis (DEA) is used to estimate WELF-Nexus efficiency of each country, and to alleviate the intricacies of using composite and intrinsic indicators. To ensure resource generativity, an output target setting model that accommodates predefined input is proposed. Results show variation in performance among OECD members, with an annual average efficiency score of 68%, 69% and 78% in 2007, 2012, and 2016. Sensitivity analysis was performed to measure the effect of drought on WELF efficiency, a decrease of about 13% on average WELF efficiency was observed. Outputs improvement was recommended for each country: Lithuania (14%), Mexico (10%) and 11% for Hungary, Latvia, and Turkey due to their high inefficiency. The study provides a robust framework for policy making and shows that a win-win strategy for the nexus must be implemented to achieve WELF-Nexus efficiency, given the trade-offs within its sectors. Furthermore, it highlights that innovative-driven policies will enhance WELF-Nexus efficiency and sustainability.

ACS Style

Mustapha D. Ibrahim; Diogo Cunha Ferreira; Sahand Daneshvar; Rui Cunha Marques. Transnational resource generativity: Efficiency analysis and target setting of water, energy, land, and food nexus for OECD countries. Science of The Total Environment 2019, 697, 134017 .

AMA Style

Mustapha D. Ibrahim, Diogo Cunha Ferreira, Sahand Daneshvar, Rui Cunha Marques. Transnational resource generativity: Efficiency analysis and target setting of water, energy, land, and food nexus for OECD countries. Science of The Total Environment. 2019; 697 ():134017.

Chicago/Turabian Style

Mustapha D. Ibrahim; Diogo Cunha Ferreira; Sahand Daneshvar; Rui Cunha Marques. 2019. "Transnational resource generativity: Efficiency analysis and target setting of water, energy, land, and food nexus for OECD countries." Science of The Total Environment 697, no. : 134017.

Articles
Published: 05 November 2018 in Engineering Optimization
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Selecting the optimum process parameter level setting for multi-quality processes is cumbersome. Previous methods were plagued by complex computational search, unrealistic assumptions, ignoring the interrelationship between responses and failure to select optimum process parameter level settings. The methods of variable return to scale (VRS) back-propagation neural network (BPNN) previously adopted were limited by the use of weak models, poor discriminatory tendency and an inability to select the optimum parameter level setting. This study applied a modified VRS–adequate BPNN topology model in the robust parameter procedure to solve this problem. Here, standard VRS models are allowed to self-assess, leading to partitioning. The upper bound of the free variable of the VRS model is restricted and the VRS penalization coefficient is adopted to determine the optimum process parameter level setting. The effectiveness of the proposed model measured by the total anticipated improvement yielded the highest total improvement over the existing methods.

ACS Style

Sahand Daneshvar; Kehinde Adewale Adesina. Modified variable return to scale back-propagation neural network robust parameter optimization procedure for multi-quality processes. Engineering Optimization 2018, 51, 1352 -1369.

AMA Style

Sahand Daneshvar, Kehinde Adewale Adesina. Modified variable return to scale back-propagation neural network robust parameter optimization procedure for multi-quality processes. Engineering Optimization. 2018; 51 (8):1352-1369.

Chicago/Turabian Style

Sahand Daneshvar; Kehinde Adewale Adesina. 2018. "Modified variable return to scale back-propagation neural network robust parameter optimization procedure for multi-quality processes." Engineering Optimization 51, no. 8: 1352-1369.

Article
Published: 14 July 2018 in Social Indicators Research
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The millennium development goals (MDGs) were designed to realign national priorities towards human development of which healthcare is the foundation. An extension of the MDGs, the sustainable development goals (SDGs), has more recently been introduced and has become the core focus for Sub-Saharan Africa (SSA) regardless of her performance vis-à-vis the MDGs. A transition into accomplishing the SDGs without identifying the efficiency and determinants of the shortfall in achieving the MDGs is a flawed approach. This paper seeks to estimate the efficiency of healthcare systems in SSA based on health focused MDGs. We estimate the technical efficiency and total factor productivity of these systems, and rank the annual performance of SSA’s healthcare systems from 2010 to 2015 using a robust data envelopment analysis (DEA) approach. Regression analysis is applied to the determinants of healthcare system efficiency. The DEA results show healthcare systems in SSA to be inefficient, with only three countries; Botswana in 2015, Rwanda in 2014 and 2015, and Tanzania in 2015; identified as efficient over the evaluated period. Failure to achieve technological advancements is the identified leading cause of a decrease in productivity. Scale inefficiency is determined to be the primary cause of technical inefficiency. The study also shows that governance measures, i.e., the rule of law and government efficacy, impact healthcare system efficiency more than public expenditure on health, indicating that the volume of resources invested in healthcare systems is not as important as the efficient management of the said resources in SSA countries.

ACS Style

Mustapha D. Ibrahim; Sahand Daneshvar; Mevhibe B. Hocaoğlu; Olasehinde-Williams G. Oluseye. An Estimation of the Efficiency and Productivity of Healthcare Systems in Sub-Saharan Africa: Health-Centred Millennium Development Goal-Based Evidence. Social Indicators Research 2018, 143, 371 -389.

AMA Style

Mustapha D. Ibrahim, Sahand Daneshvar, Mevhibe B. Hocaoğlu, Olasehinde-Williams G. Oluseye. An Estimation of the Efficiency and Productivity of Healthcare Systems in Sub-Saharan Africa: Health-Centred Millennium Development Goal-Based Evidence. Social Indicators Research. 2018; 143 (1):371-389.

Chicago/Turabian Style

Mustapha D. Ibrahim; Sahand Daneshvar; Mevhibe B. Hocaoğlu; Olasehinde-Williams G. Oluseye. 2018. "An Estimation of the Efficiency and Productivity of Healthcare Systems in Sub-Saharan Africa: Health-Centred Millennium Development Goal-Based Evidence." Social Indicators Research 143, no. 1: 371-389.

Original articles
Published: 24 May 2018 in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
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Integrated exergetic, data envelopment analysis (DEA)-robust parameter design framework is proposed to optimize and select thermo-feasible multicomponent distillation system which is a herculean task through reported exergy analysis techniques. It attempts to reduce the thermodynamic computational search for optimal sequence and to handle the effects of variations. Conventional exergetic analysis obtained the thermo-responses, variations are smoothened by robust signal-to-noise ratio procedures, variable return to scale (VRS) partitioning is imposed prior to the efficiency determination by the facet VRS model and penalization coefficient model is employed to select the optimum. The numerical illustration reveals its specificity and provides vivid and panoramic insight into actual efficient systems and those that need improvement. This study shows that exergetic analysis when integrated with DEA and robust parameter procedures can interrelate adequately, efficiently and effectively to optimize multicomponent distillation process and can be applied for optimizing energy-intensive systems especially those with multi-response processes.

ACS Style

Kehinde Adewale Adesina; Sahand Daneshvar. Integrated data envelopment-thermoexergetic optimization framework for multicomponent distillation system with multiexergetic response in the robust parameter design procedures. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2018, 40, 1491 -1507.

AMA Style

Kehinde Adewale Adesina, Sahand Daneshvar. Integrated data envelopment-thermoexergetic optimization framework for multicomponent distillation system with multiexergetic response in the robust parameter design procedures. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 2018; 40 (12):1491-1507.

Chicago/Turabian Style

Kehinde Adewale Adesina; Sahand Daneshvar. 2018. "Integrated data envelopment-thermoexergetic optimization framework for multicomponent distillation system with multiexergetic response in the robust parameter design procedures." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40, no. 12: 1491-1507.

Journal article
Published: 09 May 2018 in International Journal of Occupational Safety and Ergonomics
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This study aimed at establishing fault tree analysis (FTA) using expert opinion to compute the probability of an event. Thus, in order to find the probability of the top event (TE), all probabilities of the basic events (BEs) should be available when FTA is drawn for an event. In this case, employing expert judgment can be used as an alternative to failure data in an awkward situation. The fuzzy analytical hierarchy process (FAHP) as a standard technique is used to give a specific weight to each expert, and fuzzy set theory is engaged for aggregating expert opinion. In this regards, the probability of BEs will be computed and consequently, the probability of TE is obtained using Boolean algebra. Additionally, for the reduction of the probability of TE in terms of three parameter including safety consequences, cost, and benefit; importance measurement technique and modified TOPSIS was employed. The effectiveness of the proposed approach was demonstrated with a real-life case study.

ACS Style

Mohammad Yazdi; Orhan Korhan; Sahand Daneshvar. Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry. International Journal of Occupational Safety and Ergonomics 2018, 26, 319 -335.

AMA Style

Mohammad Yazdi, Orhan Korhan, Sahand Daneshvar. Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry. International Journal of Occupational Safety and Ergonomics. 2018; 26 (2):319-335.

Chicago/Turabian Style

Mohammad Yazdi; Orhan Korhan; Sahand Daneshvar. 2018. "Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry." International Journal of Occupational Safety and Ergonomics 26, no. 2: 319-335.