IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v361y2024ics0306261924002678.html
   My bibliography  Save this article

Techno-economic and environmental analyses of hybrid renewable energy systems for a remote location employing machine learning models

Author

Listed:
  • Roy, Dibyendu
  • Zhu, Shunmin
  • Wang, Ruiqi
  • Mondal, Pradip
  • Ling-Chin, Janie
  • Roskilly, Anthony Paul

Abstract

This article offers a detailed investigation into the technical, economic along with environmental performance of four configurations of hybrid renewable energy systems (HRESs), aiming at supplying renewable electricity to a remote location, Henry Island in India. The study explores combinations involving photovoltaic (PV) panels, wind turbines, biogas generators, batteries, and converters, while evaluating their economic, technical, and environmental performance. The economic analysis yield that among all the systems examined, the PV, wind turbine, biogas generator, battery, and converter integrated configuration stands out with highly favourable results, showcasing the minimal value of levelized cost of electricity (LCOE) at $0.4224 per kWh and the lowest net present cost (NPC) at $6.41 million. However, technical analysis yield that the configuration comprising wind turbines, PV panels, converters, and battery yields a maximum excess electricity output of 2,838,968 kWh/yr. Additionally, machine learning techniques are employed to analyse economic and environmental performance data. The study shows Bilayered Neural Network model achieves exceptional accuracy in predicting LCOE, while the Medium Neural Network model proves to be the most accurate in predicting environmental performance. These findings provide valuable perception into the design and optimisation of HRES systems for off-grid applications in remote regions, taking into account their technical, economic, and environmental aspects.

Suggested Citation

  • Roy, Dibyendu & Zhu, Shunmin & Wang, Ruiqi & Mondal, Pradip & Ling-Chin, Janie & Roskilly, Anthony Paul, 2024. "Techno-economic and environmental analyses of hybrid renewable energy systems for a remote location employing machine learning models," Applied Energy, Elsevier, vol. 361(C).
    • Handle: RePEc:eee:appene:v:361:y:2024:i:c:s0306261924002678
    DOI: 10.1016/j.apenergy.2024.122884
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924002678
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.122884?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ahmed, Eihab E.E. & Demirci, Alpaslan & Tercan, Said Mirza, 2023. "Optimal sizing and techno-enviro-economic feasibility assessment of solar tracker-based hybrid energy systems for rural electrification in Sudan," Renewable Energy, Elsevier, vol. 205(C), pages 1057-1070.
    2. Pourmohammadi, Pardis & Saif, Ahmed, 2023. "Robust metamodel-based simulation-optimization approaches for designing hybrid renewable energy systems," Applied Energy, Elsevier, vol. 341(C).
    3. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).
    4. Alsagri, Ali Sulaiman & Alrobaian, Abdulrahman A. & Nejlaoui, Mohamed, 2021. "Techno-economic evaluation of an off-grid health clinic considering the current and future energy challenges: A rural case study," Renewable Energy, Elsevier, vol. 169(C), pages 34-52.
    5. Konneh, Keifa Vamba & Adewuyi, Oludamilare Bode & Gamil, Mahmoud M. & Fazli, Agha Mohammad & Senjyu, Tomonobu, 2023. "A scenario-based multi-attribute decision making approach for optimal design of a hybrid off-grid system," Energy, Elsevier, vol. 265(C).
    6. Xu, Zilin & Mohsin, Muhammad & Ullah, Kaleem & Ma, Xiaoyu, 2023. "Using econometric and machine learning models to forecast crude oil prices: Insights from economic history," Resources Policy, Elsevier, vol. 83(C).
    7. Ribó-Pérez, David & Herraiz-Cañete, Ángela & Alfonso-Solar, David & Vargas-Salgado, Carlos & Gómez-Navarro, Tomás, 2021. "Modelling biomass gasifiers in hybrid renewable energy microgrids; a complete procedure for enabling gasifiers simulation in HOMER," Renewable Energy, Elsevier, vol. 174(C), pages 501-512.
    8. Hafiz Muhammad Abdullah & Sanghyoun Park & Kwanjae Seong & Sangyong Lee, 2023. "Hybrid Renewable Energy System Design: A Machine Learning Approach for Optimal Sizing with Net-Metering Costs," Sustainability, MDPI, vol. 15(11), pages 1-37, May.
    9. Chinna Alluraiah Nallolla & Vijayapriya Perumal, 2022. "Optimal Design of a Hybrid Off-Grid Renewable Energy System Using Techno-Economic and Sensitivity Analysis for a Rural Remote Location," Sustainability, MDPI, vol. 14(22), pages 1-25, November.
    10. Ghandehariun, Samane & Ghandehariun, Amir M. & Ziabari, Nima Bahrami, 2023. "Performance prediction and optimization of a hybrid renewable-energy-based multigeneration system using machine learning," Energy, Elsevier, vol. 282(C).
    11. Keyvandarian, Ali & Saif, Ahmed, 2023. "Optimal sizing of a reliability-constrained, stand-alone hybrid renewable energy system using robust satisficing," Renewable Energy, Elsevier, vol. 204(C), pages 569-579.
    12. Skroufouta, S. & Baltas, E., 2021. "Investigation of hybrid renewable energy system (HRES) for covering energy and water needs on the Island of Karpathos in Aegean Sea," Renewable Energy, Elsevier, vol. 173(C), pages 141-150.
    13. Akhtari, Mohammad Reza & Shayegh, Iman & Karimi, Nader, 2020. "Techno-economic assessment and optimization of a hybrid renewable earth - air heat exchanger coupled with electric boiler, hydrogen, wind and PV configurations," Renewable Energy, Elsevier, vol. 148(C), pages 839-851.
    14. Cai, Jianchao & Xu, Kai & Zhu, Yanhui & Hu, Fang & Li, Liuhuan, 2020. "Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest," Applied Energy, Elsevier, vol. 262(C).
    15. Tamjid Shabestari, Sara & Kasaeian, Alibakhsh & Vaziri Rad, Mohammad Amin & Forootan Fard, Habib & Yan, Wei-Mon & Pourfayaz, Fathollah, 2022. "Techno-financial evaluation of a hybrid renewable solution for supplying the predicted power outages by machine learning methods in rural areas," Renewable Energy, Elsevier, vol. 194(C), pages 1303-1325.
    16. Al Afif, Rafat & Ayed, Yasmine & Maaitah, Omer Nawaf, 2023. "Feasibility and optimal sizing analysis of hybrid renewable energy systems: A case study of Al-Karak, Jordan," Renewable Energy, Elsevier, vol. 204(C), pages 229-249.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Niu, Xiaofeng & Zhang, Kai & Mahian, Omid, 2023. "Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions," Renewable Energy, Elsevier, vol. 212(C), pages 538-560.
    2. Ullah, Zia & Elkadeem, M.R. & Kotb, Kotb M. & Taha, Ibrahim B.M. & Wang, Shaorong, 2021. "Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply," Renewable Energy, Elsevier, vol. 179(C), pages 885-910.
    3. Pal, Ankit & Ilango, G. Saravana, 2024. "Design and techno-economic analysis of an off-grid integrated PV-biogas system with a constant temperature digester for a cost-effective rural application," Energy, Elsevier, vol. 287(C).
    4. Wang, Yongli & Guo, Lu & Wang, Yanan & Zhang, Yunfei & Zhang, Siwen & Liu, Zeqiang & Xing, Juntai & Liu, Ximei, 2024. "Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment," Energy, Elsevier, vol. 298(C).
    5. Younessi, Hiva Seyed & Bahramara, Salah & Adabi, Farid & Golpîra, Hêmin, 2023. "Modeling the optimal sizing problem of the biogas-based electrical generator in a livestock farm considering a gas storage tank and the anaerobic digester process under the uncertainty of cow dung," Energy, Elsevier, vol. 270(C).
    6. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    7. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Dynamic modelling and thermoeconomic analysis of micro wind turbines and building integrated photovoltaic panels," Renewable Energy, Elsevier, vol. 160(C), pages 633-652.
    8. Barbara Jarmulska, 2022. "Random forest versus logit models: Which offers better early warning of fiscal stress?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 455-490, April.
    9. Augusto Cerqua & Marco Letta & Gabriele Pinto, 2024. "On the (Mis)Use of Machine Learning with Panel Data," Papers 2411.09218, arXiv.org.
    10. Peter Breyer & Stefan Girsch & Jakob Hanzl & Mario Hübler & Sophie Steininger & Elisabeth Wittig, 2023. "An analysis of Austrian banks during the high inflation period of the 1970s," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 45, pages 45-59.
    11. Jiao, Jianling & Song, Jiangfeng & Ding, Tao, 2024. "The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries," Energy, Elsevier, vol. 295(C).
    12. Wei, Haibin & Yang, Dong & Du, Jinhui & Guo, Xin, 2021. "Field experiments on the effects of an earth-to-air heat exchanger on the indoor thermal environment in summer and winter for a typical hot-summer and cold-winter region," Renewable Energy, Elsevier, vol. 167(C), pages 530-541.
    13. Pei Juan Yew & Deepak Chaulagain & Noel Ngando Same & Jaebum Park & Jeong-Ok Lim & Jeung-Soo Huh, 2024. "Optimal Hybrid Renewable Energy System to Accelerate a Sustainable Energy Transition in Johor, Malaysia," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    14. Yu, Mengyan & Umair, Muhammad & Oskenbayev, Yessengali & Karabayeva, Zhаnsaya, 2023. "Exploring the nexus between monetary uncertainty and volatility in global crude oil: A contemporary approach of regime-switching," Resources Policy, Elsevier, vol. 85(PB).
    15. Zhang, Tao & Li, Yiteng & Chen, Yin & Feng, Xiaoyu & Zhu, Xingyu & Chen, Zhangxing & Yao, Jun & Zheng, Yongchun & Cai, Jianchao & Song, Hongqing & Sun, Shuyu, 2021. "Review on space energy," Applied Energy, Elsevier, vol. 292(C).
    16. Mohsin, Muhammad & Jamaani, Fouad, 2023. "A novel deep-learning technique for forecasting oil price volatility using historical prices of five precious metals in context of green financing – A comparison of deep learning, machine learning, an," Resources Policy, Elsevier, vol. 86(PA).
    17. Elkadeem, Mohamed R. & Kotb, Kotb M. & Abido, Mohamed A. & Hasanien, Hany M. & Atiya, Eman G. & Almakhles, Dhafer & Elmorshedy, Mahmoud F., 2024. "Techno-enviro-socio-economic design and finite set model predictive current control of a grid-connected large-scale hybrid solar/wind energy system: A case study of Sokhna Industrial Zone, Egypt," Energy, Elsevier, vol. 289(C).
    18. Ghandehariun, Samane & Ghandehariun, Amir M. & Bahrami Ziabari, Nima, 2024. "Complementary assessment and design optimization of a hybrid renewable energy system integrated with open-loop pumped hydro energy storage," Renewable Energy, Elsevier, vol. 227(C).
    19. Potjagailo, Galina & Wolters, Maik H., 2023. "Global financial cycles since 1880," Journal of International Money and Finance, Elsevier, vol. 131(C).
    20. Meisheng He & Habib Forootan Fard & Khalid Yahya & Mahmoud Mohamed & Ibrahim Alhamrouni & Lilik Jamilatul Awalin, 2023. "Optimal Design of Hybrid Renewable Systems, Including Grid, PV, Bio Generator, Diesel Generator, and Battery," Sustainability, MDPI, vol. 15(4), pages 1-16, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:361:y:2024:i:c:s0306261924002678. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.