The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience
Abstract
:1. Introduction
2. Smart EV Charging Ecosystem
3. IoT—Public Smart Charging, Consumer Experience and Setbacks
3.1. Elements in Public Smart Charging Limitations
3.2. Setbacks in Operations, Management, and Payment Features
3.3. The Interplay of Optimal Scheduling-Based EV Charging System
3.3.1. Battery-Based
Conventional Battery Charging
- Slow Charging: This conventional EV charging technology is time-consuming and, thus, increases turnaround time.
- Night Charging: This is also a conventional way of charging batteries overnight at a slow pace and at low-peak energy rates, leading to extended battery life.
- Battery Swapping: This charging technology is as old as EV technology itself. This technology allows continuity of service for EV users through simply replacing drained batteries with fully charged ones at charging stations. Charging stations could be either centrally or locally sited. Although this technology improves scheduling with minimum delays, the major challenges are high costs, which result from duplicated hardware, and high land usage, especially where local charging stations are deployed. The important design indices to consider in battery swapping include battery property, battery size, charging location, battery swapping location, the quantity of spare backup batteries, the number of charging points per station, and routes and scheduling [48,49].
Emerging Battery Charging
- Dynamic Wireless Power Transfer (DWPT): DWPT, also known as inductive charging, is an emerging technology that promises to eliminate the range limitation in EVs. The technology, which employs wireless inductive power transfer pads, ensures that EVs can be charged while in motion. One big advantage of this DWPT charging is that it cuts down on the size of on-board battery capacity, which translates to more affordable EVs [50]. However, a major challenge of this charging technology is poor efficiency because of the conceivable distance separating the primary sending coil and the secondary pickup coil. Three main types of DWPT charging for EV buses were identified:
- ○
- stationary: when the EV bus is parked and standing over the charger;
- ○
- quasi-dynamic: when the EV bus is forced to drive at low speed while charging;
- ○
- dynamic (on-route or opportunity charging): when the EV bus is charged instantaneously under normal operation.
- Fast Charging: This usually goes together with DWPT-inductive charging. With fast charging for EVs, operational efficiency and driving range can be improved drastically, among other things. Existing fast charging technologies can cut down charging timed to less than a quarter of current times, though this could also mean that battery life and travel range are shortened over time [51]. Concerns about ultra-fast charging degrading battery performance over time compared to extended normal repeated charging exist [52]. Furthermore, ultra-fast charging in frequent but short duration was previously identified as a critical factor in reducing battery capacity and service interruptions.
3.3.2. Non-Battery-Based
- Routes: The travel range to a large extent determines the amount of discharging on battery life. Shorter routes mean prolonged battery life, and vice versa. The condition of roads and traffic are factors that affect EV bus driving cycles and, by extension, battery life. Inductive charging solutions were previously suggested as means of addressing routes with dense traffic and extensive public transport networks [54], while accurate navigation and range prediction is useful in promoting strategies to address EV range anxiety [55]. In [53], DWPT charging is recommended for extended integrated network routes, while for smaller condensed network routes, static wireless power transfer (WPT) can suffice [56]. Other critical factors to consider on EV travel routes are the number and length of bus stops, road texture, overlapping bus lines, average speed, climate, and available time per stop [57].
- Operation: Planning and scheduling is the ability to operate EVs in continuous service along planned routes. They are very important factors to consider because EVs cannot continue a trip if the battery life drops below a minimum threshold. If charging is required, it results in schedule interruptions, delays, and commuter anxiety if the bus needs to be parked until recharging is completed. Hence, to maintain schedule reliability, proper planning and periodic scheduling of transit routes need to be integrated into EV public charging to minimize or eliminate interruptions. In [58], robust scheduling and integrated planning are recognized as critical areas of research for addressing limited driving range and long charging hours for EV transport systems.
- Support Infrastructure: The integration of the emerging renewable energy power system, battery storage, and EVs under an optimal energy management system (EMS) result in optimal power dispatch in terms of reduced energy consumption, reduced energy and operational cost, and reduced greenhouse gas (GHG) emissions [59,60].
3.4. Technology Challenges and Opportunities
4. Potential Impacts on Consumer Behaviour and Implications
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- IEA. Improving the Sustainability of Passenger and Freight Transport. Available online: https://www.iea.org/topics/transport (accessed on 25 November 2022).
- IEA. Global EV Outlook 2022. Available online: https://www.iea.org/reports/global-ev-outlook-2022 (accessed on 25 November 2022).
- Engel, H.; Hensley, R.; Knupfer, S.; Sahdev, S. The Basics of Electric-Vehicle Charging Infrastructure|McKinsey. Available online: https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/charging-ahead-electric-vehicle-infrastructure-demand (accessed on 3 March 2023).
- IEA. Electric Vehicles—Analysis—IEA. Available online: https://www.iea.org/reports/electric-vehicles (accessed on 3 March 2023).
- Wang, Y.; Chi, Y.; Xu, J.H.; Yuan, Y. Consumers’ Attitudes and Their Effects on Electric Vehicle Sales and Charging Infrastructure Construction: An Empirical Study in China. Energy Policy 2022, 165, 112983. [Google Scholar] [CrossRef]
- Hardman, S.; Jenn, A.; Tal, G.; Axsen, J.; Beard, G.; Daina, N.; Figenbaum, E.; Jakobsson, N.; Jochem, P.; Kinnear, N.; et al. A Review of Consumer Preferences of and Interactions with Electric Vehicle Charging Infrastructure. Transp. Res. D Transp. Environ. 2018, 62, 508–523. [Google Scholar] [CrossRef]
- Adoba, P.O.; Dioha, M. Strategic Development of Electric Vehicles in Canada. In IAEE Energy Forum First Quarter; International Association for Energy Economics: Cleveland, OH, USA, 2021; pp. 26–31. [Google Scholar]
- Ernst & Young LLP. EY Strategy Canadian Electric Vehicle Transition-the Difference between Evolution and Revolution EY Strategy; Ernst & Young LLP: Sydney, Australia, 2020. [Google Scholar]
- Savari, G.F.; Krishnasamy, V.; Sathik, J.; Ali, Z.M.; Abdel Aleem, S.H.E. Internet of Things Based Real-Time Electric Vehicle Load Forecasting and Charging Station Recommendation. ISA Trans. 2020, 97, 431–447. [Google Scholar] [CrossRef] [PubMed]
- Hoque, A.H.E.; Ahmed, M.R.; Barber, A.; Rizqullah, A.; Iqbal, A.; Khandakar, A. Internet of Things Applications in Electric Vehicles—A Review. Lect. Notes Electr. Eng. 2021, 723, 315–322. [Google Scholar]
- Arif, S.M.; Lie, T.T.; Seet, B.C.; Ayyadi, S.; Jensen, K. Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques. Electronics 2021, 10, 1910. [Google Scholar] [CrossRef]
- Divyapriya, S.; Emayavaramban, G.; Amudha, A.; Ramkumar, M.S.; Nagaveni, P.; Mansoor, V.M. Internet of Things Enabled Plug in Electrical Vehicle Based Self Maximum Demand Controller for Shopping Mall. Mater. Today Proc. 2020, 37, 2567–2571. [Google Scholar] [CrossRef]
- Sestino, A.; Prete, M.I.; Piper, L.; Guido, G. Internet of Things and Big Data as Enablers for Business Digitalization Strategies. Technovation 2020, 98, 102173. [Google Scholar] [CrossRef]
- Kiran, D.R. Internet of Things. In Production Planning and Control; Butterworth-Heinemann: Oxford, UK, 2019; pp. 495–513. [Google Scholar] [CrossRef]
- Phadtare, K.; Wadkar, S.; Thorat, S.; Ghorpade, A.; Jadav, A. A Review on IoT Based Electric Vehicle Charging and Parking System. Int. J. Eng. Res. 2020, V9, 831–835. [Google Scholar] [CrossRef]
- Bhagora, D. Role of IoT in Fueling EV Charging Future Growth. Available online: https://www.einfochips.com/blog/role-of-iot-in-fueling-ev-charging-future-growth/ (accessed on 3 March 2023).
- ITU-T. Internet of Things Global Standards Initiative. Available online: https://www.itu.int/en/ITU-T/gsi/iot/Pages/default.aspx (accessed on 3 March 2023).
- Harris, B. Data-Driven Internet of Things Systems and Urban Sensing Technologies in Integrated Smart City Planning and Management. Geopolit. Hist. Int. Relat. 2021, 13, 53–63. [Google Scholar] [CrossRef]
- Qahtan, M.H.; Mohammed, E.A.; Ali, A.J. Charging Station of Electric Vehicle Based on IoT: A Review. Open Access Libr. J. 2022, 9, e8791. [Google Scholar] [CrossRef]
- Bhatti, G.; Mohan, H.; Singh, R.R. Towards the future of smart electric vehicles: Digital twin technology. Renew. Sustain. Energy Rev. 2021, 141, 110801. [Google Scholar] [CrossRef]
- Savari, G.F.; Sathik, M.J.; Raman, L.A.; El-Shahat, A.; Hasanien, H.M.; Almakhles, D.; Aleem, S.H.A.; Omar, A.I. Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review. Ain Shams Eng. J. 2022, 14, 101938. [Google Scholar] [CrossRef]
- Teimoori, Z.; Yassine, A. A Review on Intelligent Charging Management System for Future Electric Vehicle Transportation. Sustainability 2022, 14, 14100. [Google Scholar] [CrossRef]
- Mastoi, M.S.; Zhuang, S.; Munir, H.M.; Haris, M.; Hassan, M.; Usman, M.; Bukhari, S.S.H.; Ro, J.-S. An in-depth analysis of electric vehicle charging station infrastructure, policy implications, and future trends. Energy Rep. 2022, 8, 11504–11529. [Google Scholar] [CrossRef]
- Rimal, B.P.; Kong, C.; Poudel, B.; Wang, Y.; Shahi, P. Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues. Energies 2022, 15, 1908. [Google Scholar] [CrossRef]
- Efthymiou, M.; Njoya, E.T.; Lo, P.L.; Papatheodorou, A.; Randall, D. The Impact of Delays on Customers’ Satisfaction: An Empirical Analysis of the British Airways On-Time Performance at Heathrow Airport. J. Aerosp. Technol. Manag. 2018, 11, e0219. [Google Scholar] [CrossRef]
- Levinson, R.S.; West, T.H. Impact of Public Electric Vehicle Charging Infrastructure. Transp. Res. D Transp. Environ. 2018, 64, 158–177. [Google Scholar] [CrossRef]
- Anwar, M.B.; Muratori, M.; Jadun, P.; Hale, E.; Bush, B.; Denholm, P.; Ma, O.; Podkaminer, K. Assessing the Value of Electric Vehicle Managed Charging: A Review of Methodologies and Results. Energy Environ. Sci. 2022, 15, 466–498. [Google Scholar] [CrossRef]
- California Air Resources Board. CARB Draft 2020 Mobile Source Strategy; California Air Resources Board: Sacramento, CA, USA, 2020. [Google Scholar]
- Borlaug, B.; Muratori, M.; Gilleran, M.; Woody, D.; Muston, W.; Canada, T.; Ingram, A.; Gresham, H.; McQueen, C. Heavy-Duty Truck Electrification and the Impacts of Depot Charging on Electricity Distribution Systems. Nat. Energy 2021, 6, 673–682. [Google Scholar] [CrossRef]
- Muratori, M. Impact of Uncoordinated Plug-in Electric Vehicle Charging on Residential Power Demand. Nat. Energy 2018, 3, 193–201. [Google Scholar] [CrossRef]
- Coignard, J.; Saxena, S.; Greenblatt, J.; Wang, D. Clean Vehicles as an Enabler for a Clean Electricity Grid. Environ. Res. Lett. 2018, 13, 054031. [Google Scholar] [CrossRef]
- PsiBorg Technologies Pvt. Ltd. IoT for Electric Vehicle Monitoring & Management. Available online: https://www.iotforall.com/iot-for-electric-vehicle-monitoring-and-management (accessed on 3 March 2023).
- Virta Smart Charging of Electric Vehicles: The Ultimate Guide. Available online: https://www.virta.global/smart-charging (accessed on 3 March 2023).
- Gibson, P. Internet of Things Sensing Infrastructures and Urban Big Data Analytics in Smart Sustainable City Governance and Management. Geopolit. Hist. Int. Relat. 2021, 13, 42–52. [Google Scholar] [CrossRef]
- IRENA Innovation Outlook. Smart Charging for Electric Vehicles; International Renewable Energy Agency: Masdar City, Abu Dhabi, 2019. [Google Scholar]
- Carey, N.; Anthony, D. Smart Charging May Be Key to Saving Power Grid in World of EVs|Reuters. Available online: https://www.reuters.com/markets/europe/smart-charging-may-be-key-saving-power-grid-world-evs-2022-02-14/ (accessed on 3 March 2023).
- Ecocharge. How Electric Vehicle Charging Load Management Works. Available online: https://evocharge.com/resources/how-electric-vehicle-charging-load-management-works/ (accessed on 20 March 2023).
- ChargePoint Power Management FAQ. Available online: https://www.chargepoint.com/products/power-management-faq (accessed on 13 April 2023).
- Abo-Khalil, A.G.; Abdelkareem, M.A.; Sayed, E.T.; Maghrabie, H.M.; Radwan, A.; Rezk, H.; Olabi, A.G. Electric vehicle impact on energy industry, policy, technical barriers, and power systems. Int. J. Thermofluids 2022, 13, 100134. [Google Scholar] [CrossRef]
- Johnson, J.; Berg, T.; Anderson, B.; Wright, B. Review of electric vehicle charger cybersecurity vulnerabilities, potential impacts, and defenses. Energies 2022, 15, 3931. [Google Scholar] [CrossRef]
- Saber, A.Y.; Venayagamoorthy, G.K. Intelligent unit commitment with vehicle-to-grid—A cost-emission optimization. J. Power Sources 2010, 195, 898–911. [Google Scholar] [CrossRef]
- Acharya, S.; Mieth, R.; Karri, R.; Dvorkin, Y. False data injection attacks on data markets for electric vehicle charging stations. Adv. Appl. Energy 2022, 7, 100098. [Google Scholar] [CrossRef]
- Wu, J.; Jia, Q.S. On optimal charging scheduling for electric vehicles with wind power generation. Fundam. Res. 2022, in press. [Google Scholar] [CrossRef]
- An, Y.; Gao, Y.; Wu, N.; Zhu, J.; Li, H.; Yang, J. Optimal scheduling of electric vehicle charging operations considering real-time traffic condition and travel distance. Expert Syst. Appl. 2023, 213, 118941. [Google Scholar] [CrossRef]
- Sadeghian, O.; Oshnoei, A.; Mohammadi-Ivatloo, B.; Vahidinasab, V.; Anvari-Moghaddam, A. A comprehensive review on electric vehicles smart charging: Solutions, strategies, technologies, and challenges. J. Energy Storage 2022, 54, 105241. [Google Scholar] [CrossRef]
- Chai, Y.T.; Che, H.S.; Tan, C.; Tan, W.-N.; Yip, S.-C.; Gan, M.-T. A two-stage optimization method for Vehicle to Grid coordination considering building and Electric Vehicle user expectations. Int. J. Electr. Power Energy Syst. 2023, 148, 108984. [Google Scholar] [CrossRef]
- Xu, D.; Pei, W.; Zhang, Q. Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience. Energies 2022, 15, 5027. [Google Scholar] [CrossRef]
- You, P.; Yang, Z.; Zhang, Y.; Low, S.H.; Sun, Y. Optimal charging schedule for a battery switching station serving electric buses. IEEE Trans. Power Syst. 2016, 31, 3473–3483. [Google Scholar] [CrossRef]
- Liu, Z.C.; Song, Z.Q. Robust planning of dynamic wireless charging infrastructure for battery electric buses. Transp. Res. Part C Emerg. Technol. 2017, 83, 77–103. [Google Scholar] [CrossRef]
- Bi, Z.; Song, L.; De Kleine, R.; Mi, C.C.; Keoleian, G.A. Plug-in vs. wireless charging: Life cycle energy and greenhouse gas emissions for an electric bus system. Appl. Energy 2015, 146, 11–19. [Google Scholar] [CrossRef]
- An, K.; Jing, W.; Kim, I. Battery-swapping facility planning for electric buses with local charging systems. Int. J. Sustain. Transp. 2019, 14, 489–502. [Google Scholar] [CrossRef]
- Gao, Z.; Lin, Z.; LaClair, T.J.; Liu, C.; Li, J.-M.; Birky, A.K.; Ward, J. Battery capacity and recharging needs for electric buses in city transit service. Energy 2017, 122, 588–600. [Google Scholar] [CrossRef]
- Aamodt, A.; Cory, K.; Coney, K. Electrifying Transit: A Guidebook for Implementing Battery Electric Buses; National Renewable Energy Laboratory: Golden, CO, USA, 2021. Available online: https://www.nrel.gov/docs/fy21osti/76932.pdf (accessed on 14 March 2023).
- Xylia, M.; Silveira, S. The role of charging technologies in upscaling the use of electric buses in public transport: Experiences from demonstration projects. Transp. Res. Part A 2018, 118, 399–415. [Google Scholar] [CrossRef]
- Thitacharee, T.; Sripakagorn, A. Electrification of Public Transport with Fast Charging in Traffic Congested Cities. SAE Technical Paper 2016-01-1718. In Proceedings of the 12th International Conference on Automotive Engineering, Hong Kong, China, 9–11 December 2016. [Google Scholar] [CrossRef]
- Iliopoulou, C.; Kepaptsoglou, K. Integrated transit route network design and infrastructure planning for on-line electric vehicles. Transp. Res. Part D Transp. Environ. 2019, 77, 178–197. [Google Scholar] [CrossRef]
- Carrilero, I.; González, M.; Anseán, D.; Viera, J.C.; Chacón, J.; Pereirinha, P.G. Redesigning European public transport: Impact of new battery technologies in the design of electric bus fleets. Transp. Res. Procedia 2018, 33, 195–202. [Google Scholar] [CrossRef]
- Perumal, S.S.; Lusby, R.M.; Larsen, J. Electric bus planning & scheduling: A review of related problems and methodologies. Eur. J. Oper. Res. 2022, 301, 395–413. [Google Scholar]
- Nasir, T.; Raza, S.; Abrar, M.; Muqeet, H.A.; Jamil, H.; Qayyum, F.; Cheikhrouhou, O.; Alassery, F.; Hamam, H. Optimal Scheduling of Campus Microgrid Considering the Electric Vehicle Integration in Smart Grid. Sensors 2021, 21, 7133. [Google Scholar] [CrossRef] [PubMed]
- Fei, L.; Shahzad, M.; Abbas, F.; Muqeet, H.A.; Hussain, M.M.; Bin, L. Optimal Energy Management System of IoT-Enabled Large Building Considering Electric Vehicle Scheduling, Distributed Resources, and Demand Response Schemes. Sensors 2022, 22, 7448. [Google Scholar] [CrossRef] [PubMed]
- Sayed, M.A.; Atallah, R.; Assi, C.; Debbabi, M. Electric vehicle attack impact on power grid operation. Int. J. Electr. Power Energy Syst. 2022, 137, 107784. [Google Scholar] [CrossRef]
- Nasr, T.; Torabi, S.; Bou-Harb, E.; Fachkha, C.; Assi, C. Power jacking your station: In-depth security analysis of electric vehi-cle charging station management systems. Comput. Secur. 2022, 112, 102511. [Google Scholar] [CrossRef]
- Newburger, E. Biden Rolls Out $5 Billion to States for Electric Vehicle Chargers. Available online: https://www.cnbc.com/2022/02/10/biden-rolls-out-5-billion-to-states-for-electric-vehicle-chargers.html (accessed on 5 April 2023).
- Caixin. China’s New-Energy Vehicles Reach a Turning Point. Available online: https://asia.nikkei.com/Spotlight/Caixin/China-s-new-energy-vehicles-reach-a-turning-point (accessed on 5 April 2023).
- Yang, Z. China Is Building Charging Stations for 20 Million EVs. Available online: https://www.protocol.com/bulletins/china-infrastructure-plan-ev (accessed on 5 April 2023).
- Lekach, S.; Kwanten, A. EV Survey Shows Range Anxiety High While Charging Costs Remain Low—Forbes Wheels. Available online: https://www.forbes.com/wheels/features/ev-range-cost-confidence-survey/ (accessed on 5 April 2023).
- Statista Electric Vehicle Charging Infrastructure in China—Statistics & Facts. Available online: https://www.statista.com/topics/10465/electric-vehicle-charging-infrastructure-in-china/#topicOverview (accessed on 5 April 2023).
- Andrade, R.; Ortiz-Garcés, I.; Tintin, X.; Llumiquinga, G. Factors of Risk Analysis for IoT Systems. Risks 2022, 10, 162. [Google Scholar] [CrossRef]
- Antonakakis, M.; April, T.; Bailey, M.; Bernhard, M.; Bursztein, E.; Cochran, J.; Durumeric, Z.; Halderman, J.A.; Invernizzi, L.; Kallitsis, M.; et al. Understanding the mirai botnet. In Proceedings of the 26th USENIX Security Symposium (USENIX Security 17), Vancouver, BC, Canada, 16–18 August 2017; pp. 1093–1110. [Google Scholar]
- Mohd Aman, A.H.; Shaari, N.; Ibrahim, R. Internet of Things Energy System: Smart Applications, Technology Advancement, and Open Issues. Int. J. Energy Res. 2021, 45, 8389–8419. [Google Scholar] [CrossRef]
- Haustein, S.; Jensen, A.F.; Cherchi, E. General Rights Battery Electric Vehicle Adoption in Denmark and Sweden: Recent Changes, Related Factors and Policy Implications. Energy Policy 2021, 149, 112096. [Google Scholar] [CrossRef]
- McLane, R.; Liu, Q. A Look inside China’s Timely Charging Infrastructure Plan. Available online: https://www.greenbiz.com/article/look-inside-chinas-timely-charging-infrastructure-plan (accessed on 5 April 2023).
- Emodi, N.V.; Dwyer, S.; Nagrath, K.; Alabi, J. Electromobility in Australia: Tariff design structure and consumer preferences for mobile distributed energy storage. Sustainability 2022, 14, 6631. [Google Scholar] [CrossRef]
- Kühnbach, M.; Stute, J.; Klingler, A.L. Impacts of Avalanche Effects of Price-Optimized Electric Vehicle Charging—Does Demand Response Make It Worse? Energy Strategy Rev. 2021, 34, 100608. [Google Scholar] [CrossRef]
- Gao, H.; Zang, B.; Sun, L.; Chen, L. Evaluation of Electric Vehicle Integrated Charging Safety State Based on Fuzzy Neural Network. Appl. Sci. 2022, 12, 461. [Google Scholar] [CrossRef]
- Rezvani, Z.; Jansson, J.; Bodin, J. Advances in Consumer Electric Vehicle Adoption Research: A Review and Research Agenda. Transp. Res. D Transp. Environ. 2015, 34, 122–136. [Google Scholar] [CrossRef]
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Emodi, N.V.; Akuru, U.B.; Dioha, M.O.; Adoba, P.; Kuhudzai, R.J.; Bamisile, O. The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience. Energies 2023, 16, 4248. https://doi.org/10.3390/en16104248
Emodi NV, Akuru UB, Dioha MO, Adoba P, Kuhudzai RJ, Bamisile O. The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience. Energies. 2023; 16(10):4248. https://doi.org/10.3390/en16104248
Chicago/Turabian StyleEmodi, Nnaemeka V., Udochukwu B. Akuru, Michael O. Dioha, Patrick Adoba, Remeredzai J. Kuhudzai, and Olusola Bamisile. 2023. "The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience" Energies 16, no. 10: 4248. https://doi.org/10.3390/en16104248
APA StyleEmodi, N. V., Akuru, U. B., Dioha, M. O., Adoba, P., Kuhudzai, R. J., & Bamisile, O. (2023). The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience. Energies, 16(10), 4248. https://doi.org/10.3390/en16104248