IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v2y2020i2p10-155d340855.html
   My bibliography  Save this article

Comparison of Small-Scale Wind Energy Conversion Systems: Economic Indexes

Author

Listed:
  • Muhammad Shahzad Nazir

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Yeqin Wang

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Muhammad Bilal

    (School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Hafiz M. Sohail

    (School of Economics and Management, South China Normal University, Guangzhou 510631, China)

  • Athraa Ali Kadhem

    (Center for Advanced Power and Energy Research, Faculty of Engineering, University Putra Malaysia, Selangor 43400, Malaysia)

  • H. M. Rashid Nazir

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, Hebei, China)

  • Ahmed N. Abdalla

    (Faculty of Electronics and Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China)

  • Yongheng Ma

    (Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China)

Abstract

Wind energy is considered as one of the most prominent sources of energy for sustainable development. This technology is of interest owing to its capability to produce clean, eco-friendly, and cost-effective energy for small-scale users and rural areas where grid power availability is insufficient. Wind power generation has developed rapidly in the past decade and is expected to play a vital role in the economic development of countries. Therefore, studying dominant economic factors is crucial to properly approach public and private financing for this emerging technology, as industrial growth and energy demands may outpace further economic studies earlier than expected. In this study, a strategy-focused method for performing economic analysis on wind energy based on financial net present value, levelized cost of energy, internal rate of return, and investment recovery period is presented. Numerical and simulation results depict the most optimal and economical system from a 3 and a 10 kW wind energy conversion system (WECS). Moreover, the aforementioned criteria are used to determine which WECS range is the most suitable investment with the shortest payback period. Finally, an economically viable and profitable wind energy system is recommended.

Suggested Citation

  • Muhammad Shahzad Nazir & Yeqin Wang & Muhammad Bilal & Hafiz M. Sohail & Athraa Ali Kadhem & H. M. Rashid Nazir & Ahmed N. Abdalla & Yongheng Ma, 2020. "Comparison of Small-Scale Wind Energy Conversion Systems: Economic Indexes," Clean Technol., MDPI, vol. 2(2), pages 1-12, April.
  • Handle: RePEc:gam:jcltec:v:2:y:2020:i:2:p:10-155:d:340855
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/2/2/10/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2571-8797/2/2/10/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2019. "Global levelised cost of electricity from offshore wind," Energy, Elsevier, vol. 189(C).
    2. Dong, Changgui & Qi, Ye & Dong, Wenjuan & Lu, Xi & Liu, Tianle & Qian, Shuai, 2018. "Decomposing driving factors for wind curtailment under economic new normal in China," Applied Energy, Elsevier, vol. 217(C), pages 178-188.
    3. Groth, Theresa M. & Vogt, Christine A., 2014. "Rural wind farm development: Social, environmental and economic features important to local residents," Renewable Energy, Elsevier, vol. 63(C), pages 1-8.
    4. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
    5. Haghighat Mamaghani, Alireza & Avella Escandon, Sebastian Alberto & Najafi, Behzad & Shirazi, Ali & Rinaldi, Fabio, 2016. "Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia," Renewable Energy, Elsevier, vol. 97(C), pages 293-305.
    6. Sinha, Sunanda & Chandel, S.S., 2014. "Review of software tools for hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 192-205.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Łukasz Augustowski & Piotr Kułyk, 2024. "Conditions for the Development of Wind Energy for Individual Consumers: A Case Study in Poland," Energies, MDPI, vol. 17(14), pages 1-13, July.
    2. Dongfang Ren & Xiaopeng Guo, 2023. "Simulation modeling and analysis of carbon emission reduction potential of multi-energy generation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11823-11845, October.

    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. Haratian, Mojtaba & Tabibi, Pouya & Sadeghi, Meisam & Vaseghi, Babak & Poustdouz, Amin, 2018. "A renewable energy solution for stand-alone power generation: A case study of KhshU Site-Iran," Renewable Energy, Elsevier, vol. 125(C), pages 926-935.
    2. Abhi Chatterjee & Daniel Burmester & Alan Brent & Ramesh Rayudu, 2019. "Research Insights and Knowledge Headways for Developing Remote, Off-Grid Microgrids in Developing Countries," Energies, MDPI, vol. 12(10), pages 1-19, May.
    3. Jing Zhang & Jixing Chen & Hao Liu & Yining Chen & Jingwen Yang & Zongtao Yuan & Qingan Li, 2023. "Applicability of WorldCover in Wind Power Engineering: Application Research of Coupled Wake Model Based on Practical Project," Energies, MDPI, vol. 16(5), pages 1-16, February.
    4. Mohammad Alghassab & Zafar A. Khan & Abdullah Altamimi & Muhammad Imran & Fahad F. Alruwaili, 2022. "Prospects of Hybrid Energy in Saudi Arabia, Exploring Irrigation Application in Shaqra," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    5. Yimy E. García-Vera & Rodolfo Dufo-López & José L. Bernal-Agustín, 2020. "Techno-Economic Feasibility Analysis through Optimization Strategies and Load Shifting in Isolated Hybrid Microgrids with Renewable Energy for the Non-Interconnected Zone (NIZ) of Colombia," Energies, MDPI, vol. 13(22), pages 1-20, November.
    6. Come Zebra, Emília Inês & van der Windt, Henny J. & Nhumaio, Geraldo & Faaij, André P.C., 2021. "A review of hybrid renewable energy systems in mini-grids for off-grid electrification in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    7. Rebecca J. Barthelmie & Kaitlyn E. Dantuono & Emma J. Renner & Frederick L. Letson & Sara C. Pryor, 2021. "Extreme Wind and Waves in U.S. East Coast Offshore Wind Energy Lease Areas," Energies, MDPI, vol. 14(4), pages 1-25, February.
    8. Johnston, Barry & Foley, Aoife & Doran, John & Littler, Timothy, 2020. "Levelised cost of energy, A challenge for offshore wind," Renewable Energy, Elsevier, vol. 160(C), pages 876-885.
    9. Rangel, N. & Li, H. & Aristidou, P., 2023. "An optimisation tool for minimising fuel consumption, costs and emissions from Diesel-PV-Battery hybrid microgrids," Applied Energy, Elsevier, vol. 335(C).
    10. Eriksson, E.L.V. & Gray, E.MacA., 2017. "Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems – A critical review," Applied Energy, Elsevier, vol. 202(C), pages 348-364.
    11. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    12. Mominul Islam, Shah Mohammad & Salema, Arshad Adam & Saleheen, Mohammed Zeehan & Lim, Joanne Mun Yee, 2022. "The influence of shifting the electric bus charging routine on the techno-economic performance of a solar-powered bus depot," Energy, Elsevier, vol. 239(PD).
    13. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
    14. Li, Xia & Xu, Li & Cai, Jingjing & Peng, Cheng & Bian, Xiaoyan, 2024. "Offshore wind turbine selection with multi-criteria decision-making techniques involving D numbers and squeeze adversarial interpretive structural modeling method," Applied Energy, Elsevier, vol. 368(C).
    15. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    16. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    17. Hübner, Gundula & Leschinger, Valentin & Müller, Florian J.Y. & Pohl, Johannes, 2023. "Broadening the social acceptance of wind energy – An Integrated Acceptance Model," Energy Policy, Elsevier, vol. 173(C).
    18. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    19. Bhattacharjee, Vikram & Khan, Irfan, 2018. "A non-linear convex cost model for economic dispatch in microgrids," Applied Energy, Elsevier, vol. 222(C), pages 637-648.
    20. Zhao, Qin & Zhang, Houcheng & Hu, Ziyang & Hou, Shujin, 2021. "Performance evaluation of a new hybrid system consisting of a photovoltaic module and an absorption heat transformer for electricity production and heat upgrading," Energy, Elsevier, vol. 216(C).

    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:gam:jcltec:v:2:y:2020:i:2:p:10-155:d:340855. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.