Techno-feasibility (economic & environmental) analysis of EV charging using HRE sources in the work places

THULASINGAM MUTHUKUMARAN; Ajay D Vimal Raj P

doi:10.32397/tesea.vol7.n1.766

Authors

Muthukumaran Thulasingam Department of EEE, Puducherry Technological University, Puducherry, India https://orcid.org/0000-0002-6667-5997 (unauthenticated)
Ajay D Vimal Raj P Department of EEE, Puducherry Technological University, Puducherry, India

DOI:

https://doi.org/10.32397/tesea.vol7.n1.766

Keywords:

HRE, COE, EV, Load Following Dispatch Algorithm, Homer Pro

Abstract

Electric vehicles (EVs) are gaining significant acceptance in the domestic market, primarily due to the continuous rise in fossil fuel prices. Conventional internal combustion (IC) engine vehicles are major contributors to greenhouse gas (GHG) emissions, which adversely impact the atmospheric ecosystem. However, one of the major challenges associated with EV adoption is the limited availability of charging infrastructure. To address this issue, the present research investigates the feasibility of charging EVs using hybrid renewable energy (HRE) sources operating in a grid-connected mode. The study emphasizes the effective utilization of renewable resources for daytime EV charging; a detailed assessment of the renewable energy potential at the study site was carried out, and corresponding power-source models were developed by considering practical and real-time operating constraints. The optimization process focused on key economic indicators, including capital investment, replacement cost, and operation and maintenance (O&M) cost, with the objective of minimizing the cost of energy (COE), reducing the net present cost (NPC) of the HRE system, and lowering GHG emissions. The load-following (LF) algorithm was used to optimize the hybrid configuration, and the performance of the selected system is comprehensively discussed. The optimized HRE model comprising a biomass-based generator in combination with the grid achieved a minimum COE of Rs. 0.462 per kWh for EV charging. Based on the modeled system, it is estimated that approximately 80 EVs can be charged per day, including 40 two-wheelers and 40 four-wheelers. The unmet load of the optimized configuration was calculated as 0.05%.

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References

George Fernandez Savari, M. Jagabar Sathik, L. Anantha Raman, Adel El-Shahat, Hany M. Hasanien, Dhafer Almakhles, Shady H. E. Abdel Aleem, and Ahmed I. Omar. Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: a review. Ain Shams Engineering Journal, 13(6):101938, 2022.

Larry Dickerman and Jessica Harrison. A new car, a new grid. IEEE Power and Energy Magazine, 8(2):55–61, 2010.

Li He and Zhixin Wu. Advancing sustainable EV charging infrastructure: A hybrid solar-wind fast charging station with demand response. Renewable Energy, 237:121843, 2024.

Anis ur Rehman, Haris M. Khalid, and S. M. Muyeen. Grid-integrated solutions for sustainable EV charging: a comparative study of renewable energy and battery storage systems. Frontiers in Energy Research, 12:1403883, 2024.

Mohd Bilal, Fareed Ahmad, and M. Rizwan. Techno-economic assessment of grid and renewable powered electric vehicle charging stations in India using a modified metaheuristic technique. Energy Conversion and Management, 284:116995, 2023.

George Fernandez Savari, M. Jagabar Sathik, L. Anantha Raman, Adel El-Shahat, Hany M. Hasanien, Dhafer Almakhles, Shady H. E. Abdel Aleem, and Ahmed I. Omar. Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review. Ain Shams Engineering Journal, 14(4):101938, 2023.

Kejun Qian, Chengke Zhou, M. Allan, and Yue Yuan. Load model for prediction of electric vehicle charging demand. In 2010 International Conference on Power System Technology (POWERCON), pages 1–6, Zhejiang, China, 2010.

Jia Ying Yong, Vigna K. Ramachandaramurthy, Kang Miao Tan, and N. Mithulananthan. A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects. Renewable and Sustainable Energy Reviews, 49:365–385, 2015.

Nam Pyo Suh, Dong-Ho Cho, and Chun T. Rim. Design of online electric vehicle (OLEV). In Global Product Development: Proceedings of the 20th CIRP Design Conference, Ecole Centrale de Nantes, Nantes, France, pages 3–8. Springer Berlin Heidelberg, 2011.

S. Shahriar, A. R. Al-Ali, A. H. Osman, S. Dhou, and M. Nijim. Machine learning approaches for EV charging behavior: A review. IEEE Access, 8:168980–168993, 2020.

Stefania Mitova and Rudy Kahsar. Urban energy system impact analysis: integration of household solar panels and electric vehicles into smart cities via storage and smart charging. Renewable Energy and Environmental Sustainability, 7:25, 2022.

M. C. Falvo, D. Sbordone, I. S. Bayram, and M. Devetsikiotis. EV charging stations and modes: International standards. In 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), pages 1134–1139, Ischia, Italy, 2014.

Yijia Cao, Shaowu Tang, Canbing Li, Peng Zhang, Yi Tan, Zhenyu Zhang, and Junxiong Li. An optimized EV charging model considering TOU price and SOC curve. IEEE Transactions on Smart Grid, 3(1):388–393, 2012.

J. A. Domínguez-Navarro, R. Dufo-López, J. M. Yusta-Loyo, J. S. Artal-Sevil, and J. L. Bernal-Agüstín. Design of an electric vehicle fast-charging station with integration of renewable energy and storage systems. International Journal of Electrical Power & Energy Systems, 105:46–58, 2019.

T. Muthukumaran, P. Ajay D. Vimal Raj, and K. Murugaperumal. Feasibility analysis of electric vehicle charging in working places using hybrid renewable sources. In 2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT). IEEE, 2022.

Muthukumaran T., Ajay D. Vimal Raj. P, Murugaperumal K., and Subramaniam NP. Feasibility analysis of PV/Wind/DG based hybrid energy system design for indian educational institute. In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), pages 1–6, Kuala Lumpur, Malaysia, 2021.

T. Muthukumaran, P. Ajay-D-Vimal Raj, K. Murugaperumal, and N. P. Subramaniam. Designing of solar PV plant for EV charging application in residential apartment using solar pro software. The Institution of Engineers (India) Annual Technical Volume (ATV), pages 17–23, 2021.

e-AMRIT, NITI Aayog. Standards and specifications for EV charging. https://e-amrit.niti.gov.in/standards-and-specifications, 2023. Accessed: Mar. 21, 2023.

Plug-in India. Bharat EV specifications for AC and DC charging — everything you need to know. https://www.pluginindia. com/blogs/bharat-ev-specifications-for-ac-and-dc-charging-everything-you-need-to-know, 2023. Accessed: Apr. 5, 2023.

HOMER Energy. HOMER Pro software. https://www.homerenergy.com, 2022. Accessed: Aug. 11, 2022.

Mohammad Reza Akhtari and Mehdi Baneshi. Techno-economic assessment and optimization of a hybrid renewable co-supply of electricity, heat and hydrogen system to enhance performance by recovering excess electricity for a large energy consumer. Energy Conversion and Management, 188:131–141, 2019.

Sunanda Sinha and S. S. Chandel. Analysis of fixed tilt and sun tracking photovoltaic–micro wind based hybrid power systems. Energy Conversion and Management, 115:265–275, 2016.

National Renewable Energy Laboratory (NREL). NSRDB data viewer. https://nsrdb.nrel.gov/data-viewer, 2022. Accessed: Jun. 14, 2022.

M. R. Elkadeem, Shaorong Wang, Ahmed M. Azmy, Eman G. Atiya, Zia Ullah, and Swellam W. Sharshir. A systematic decision-making approach for planning and assessment of hybrid renewable energy-based microgrid with techno-economic optimization: A case study on an urban community in Egypt. Sustainable Cities and Society, 54:102013, 2020.

Fabrizio Fattori, Norma Anglani, and Giovanni Muliere. Combining photovoltaic energy with electric vehicles, smart charging and vehicle-to-grid. Solar Energy, 110:438–451, 2014.

L. Olatomiwa, S. Mekhilef, A. S. N. Huda, and K. Sanusi. Techno-economic analysis of hybrid PV-diesel-battery and PV-wind-diesel-battery power systems for mobile BTS: the way forward for rural development. Energy Science & Engineering, 3(4):271–285, 2015.

IndiaMART. IndiaMART – B2B marketplace. https://indiamart.com, 2019. Accessed: Oct. 15–20, 2019.

Vikram Solar. DS-5BB-72-Eld-Grand-1000V datasheet. https://www.vikramsolar.com/wp-content/uploads/2015/12/DS5BB-72-Eld-Grand-1000V-Dec18.pdf, 2015. Accessed: Oct. 8, 2019.

Solar Experts India. Solar panels price list – vikram solar. https://solarexpertsindia.com/solar-panels-price-100w-150w160w-250w-260w-270w-325w-335w/vikram-solar, 2019. Accessed: Oct. 8, 2019.

Akash Kumar, A. R. Singh, Yanli Deng, Xiangning He, Praveen Kumar, and R. C. Bansal. A novel methodological framework for the design of sustainable rural microgrid for developing nations. IEEE Access, 6:24925–24951, 2018.

K. Murugaperumal and P. Ajay-D-Vimal Raj. Feasibility design and techno-economic analysis of hybrid renewable energy system for rural electrification. Solar Energy, 188:1068–1083, 2019.

T. Adefarati and R. C. Bansal. Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources. Applied Energy, 206:911–933, 2017.

Anurag Chauhan and R. P. Saini. A review on integrated renewable energy system based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control. Renewable and Sustainable Energy Reviews, 38:99–120, 2014.

Md Mustafizur Rahman, Ayokunle Oluwaseun Oni, Eskinder Gemechu, and Amit Kumar. The development of a techno-economic model for assessment of cost of energy storage for vehicle-to-grid applications in a cold climate. Energy, 262:125398, 2023.