Outputs (25)

Modeling and data analysis of electric vehicle fleet charging. (2022)
Conference Proceeding
KUCUKSARI, S. and ERDOGAN, N. 2022. Modeling and data analysis of electric vehicle fleet charging. In Proceedings of 2022 IEEE (Institute of Electrical and Electronics Engineers)/AIAA (American Institute of Aeronautics and Astronautics) Transportation electrification conference and Electric aircraft technologies symposium (ITEC+EATS), 15-17 June 2022, Anaheim, USA. Piscataway: IEEE [online], pages 1139-1143. Available from: https://doi.org/10.1109/itec53557.2022.9814047

In the transition to electric fleets around the world, electricity demand from electric vehicle (EV) fleets is expected to become significant in the future. Since fleet cars can display different charging characteristics than individual EVs, analyzin... Read More about Modeling and data analysis of electric vehicle fleet charging..

EV fleet charging load forecasting based on multiple decomposition with CEEMDAN and swarm decomposition. (2022)
Journal Article
DOKUR, E., ERDOGAN, N. and KUCUKSARI, S. 2022. EV fleet charging load forecasting based on multiple decomposition with CEEMDAN and swarm decomposition. IEEE access [online], 10, pages 62330-62340. Available from: https://doi.org/10.1109/ACCESS.2022.3182499

As the transition to electric mobility is accelerating, EV fleet charging loads are expected to become increasingly significant for power systems. Hence, EV fleet load forecasting is vital to maintaining the reliability and safe operation of the powe... Read More about EV fleet charging load forecasting based on multiple decomposition with CEEMDAN and swarm decomposition..

A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies. (2022)
Journal Article
ERDOGAN, N., KUCUKSARI, S. and MURPHY, J. 2022. A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies. Energy [online], 254(Part A), article number 124161. Available from: https://doi.org/10.1016/j.energy.2022.124161

This study proposes a multi-objective optimization model to determine the optimal charging infrastructure for a transition to plug-in electric vehicles (PEVs) at workplaces. The developed model considers all cost aspects of a workplace charging stati... Read More about A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies..

Offshore wind speed short-term forecasting based on a hybrid method: swarm decomposition and meta-extreme learning machine. (2022)
Journal Article
DOKUR, E., ERDOGAN, N., SALARI, M.E., KARAKUZU, C. and MURPHY, J. 2022. Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine. Energy [online], 248, article 123595. Available from: https://doi.org/10.1016/j.energy.2022.123595

As the share of global offshore wind energy in the electricity generation portfolio is rapidly increasing, the grid integration of large-scale offshore wind farms is becoming of interest. Due to the intermittency of wind, the stability of power syste... Read More about Offshore wind speed short-term forecasting based on a hybrid method: swarm decomposition and meta-extreme learning machine..

Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets. (2022)
Journal Article
ERDOGAN, N., KUCUKSARI, S. and CALI, U. 2022. Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets. IEEE access [online], 10, pages 18988-18997. Available from: https://doi.org/10.1109/ACCESS.2022.3150359

As the transition to electric mobility is expanding at a rapid pace, operationally feasible and economically viable charging infrastructure is needed to support electrified fleets. This paper presents a co-simulation of optimal electric vehicle suppl... Read More about Co-simulation of optimal EVSE and techno-economic system design models for electrified fleets..

Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine. (2021)
Journal Article
HAND, B.P., ERDOGAN, N., MURRAY, D., CRONIN, P., DORAN, J. and MURPHY, J. 2022. Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine. Sustainable energy technologies and assessments [online], 50, article 101874. Available from: https://doi.org/10.1016/j.seta.2021.101874

Tidal energy has received considerable attention over the past decade due to its predictability and high power density. The research in the tidal turbine area has concentrated primarily on the improvement of the energy conversion efficiency. In contr... Read More about Experimental testing on the influence of shaft rotary lip seal misalignment for a marine hydro-kinetic turbine..

An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations. (2021)
Journal Article
ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and DEVECI, M. 2021. An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations. Applied energy [online], 304, article 117866. Available from: https://doi.org/10.1016/j.apenergy.2021.117866

This study addresses the optimal planning of electric vehicle charging infrastructure at workplaces. As the optimal planning for a given workplace can involve various criteria that comprise conflicting single objectives, this study proposes a new int... Read More about An integrated multi-objective optimization and multi-criteria decision-making model for optimal planning of workplace charging stations..

EV specific time-of-use rates analysis for workplace charging. (2021)
Conference Proceeding
KUCUKSARI, S. and ERDOGAN, N. 2021. EV specific time-of-use rates analysis for workplace charging. In Proceedings of 2021 IEEE (Institute of Electrical and Electronics Engineers) Transportation electrification conference (ITEC 2021), 21-25 June 2021, [virtual conference]. Piscataway: IEEE [online], pages 783-788. Available from: https://doi.org/10.1109/itec51675.2021.9490039

EV specific time-of-use rate plans have been recently introduced by several utilities to overcome the demand charge issue that is the main barrier impeding EV growth in the commercial and industrial sector. This study analyses two EV specific TOU rat... Read More about EV specific time-of-use rates analysis for workplace charging..

Designing laboratory experiments for electricity grid integration of renewable energy using microgrid, test-rig emulators and real time simulation tools. (2021)
Conference Proceeding
MURRAY, D.B., ERDOGAN, N., ZEHIR, A. and HAYES, B.P. 2021. Designing laboratory experiments for electricity grid integration of renewable energy using microgrid, test-rig emulators and real time simulation tools. In Proceedings of the 10th Engineering education for sustainable development conference 2021 (EESD2021): building flourishing communities, 14-16 June 2021, Cork Ireland. Cork: University College Cork, pages 380-387. Hosted on CORA [online]. Available from: https://cora.ucc.ie/handle/10468/11674

This paper describes efforts to integrate advanced approaches in microgrid, test-rig emulators and real time simulation into early postgraduate and undergraduate engineering education. It describes two experiments designed for groups of early stage r... Read More about Designing laboratory experiments for electricity grid integration of renewable energy using microgrid, test-rig emulators and real time simulation tools..

Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA. (2021)
Journal Article
DEVECI, M., ERDOGAN, N., CALI, U., STEKLI, J. and ZHONG, S. 2021. Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA. Engineering applications of artificial intelligence [online], 103, article 104311. Available from: https://doi.org/10.1016/j.engappai.2021.104311

The technical, logistical, and ecological challenges associated with offshore wind development necessitate an extensive site selection analysis. Technical parameters such as wind resource, logistical concerns such as distance to shore, and ecological... Read More about Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA..