IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i7p1960-d528838.html
   My bibliography  Save this article

Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan

Author

Listed:
  • Tatsuya Hinokuma

    (Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan)

  • Hooman Farzaneh

    (Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan)

  • Ayas Shaqour

    (Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan)

Abstract

In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar–wind–hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing MPPTs, the proposed MPPT provides rapid power control with small oscillations. The dynamic simulation of the proposed hybrid renewable energy system (HRES) was performed in MATLAB-Simulink, and the model results were validated using an experimental setup installed in the Chikushi campus, Kyushu University, Japan. The techno-economic analysis (TEA) of the proposed system was performed to estimate the optimal configuration of the proposed HRES, subject to satisfying the required annual load in the Chikushi campus. The results revealed a potential of 2% surplus power generation from the proposed HRES, using the FLC-based MPPT system, which can guarantee a lower levelized cost of electricity (LOCE) for the HRES and significant savings of 2.17 million yen per year. The TEA results show that reducing the cost of the solar system market will lead to a reduction in LCOE of the HRES in 2030.

Suggested Citation

  • Tatsuya Hinokuma & Hooman Farzaneh & Ayas Shaqour, 2021. "Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan," Energies, MDPI, vol. 14(7), pages 1-23, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1960-:d:528838
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/7/1960/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/7/1960/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Messalti, Sabir & Harrag, Abdelghani & Loukriz, Abdelhamid, 2017. "A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 221-233.
    2. Esteban, Miguel & Portugal-Pereira, Joana & Mclellan, Benjamin C. & Bricker, Jeremy & Farzaneh, Hooman & Djalilova, Nigora & Ishihara, Keiichi N. & Takagi, Hiroshi & Roeber, Volker, 2018. "100% renewable energy system in Japan: Smoothening and ancillary services," Applied Energy, Elsevier, vol. 224(C), pages 698-707.
    3. Li, Xingshuo & Wen, Huiqing & Hu, Yihua & Jiang, Lin, 2019. "A novel beta parameter based fuzzy-logic controller for photovoltaic MPPT application," Renewable Energy, Elsevier, vol. 130(C), pages 416-427.
    4. Neeraj Priyadarshi & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Farooque Azam, 2019. "An Ant Colony Optimized MPPT for Standalone Hybrid PV-Wind Power System with Single Cuk Converter," Energies, MDPI, vol. 12(1), pages 1-23, January.
    5. Yuichiro Yoshida & Hooman Farzaneh, 2020. "Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan," Energies, MDPI, vol. 13(7), pages 1-18, April.
    6. Shahzad, M. Kashif & Zahid, Adeem & ur Rashid, Tanzeel & Rehan, Mirza Abdullah & Ali, Muzaffar & Ahmad, Mueen, 2017. "Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software," Renewable Energy, Elsevier, vol. 106(C), pages 264-273.
    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. Sota Makino & Takeshi Onishi & Akika Itoh & Issei Sato & Tomohumi Huzita & Chihiro Kayo, 2021. "Sustainable Campus: Reducing Environmental and Financial Burdens by Using Pruned Branches for On-Campus Energy," Sustainability, MDPI, vol. 13(13), pages 1-15, July.
    2. Taofeek Afolabi & Hooman Farzaneh, 2023. "Optimal Design and Operation of an Off-Grid Hybrid Renewable Energy System in Nigeria’s Rural Residential Area, Using Fuzzy Logic and Optimization Techniques," Sustainability, MDPI, vol. 15(4), pages 1-33, February.
    3. Kashif Sohail & Hooman Farzaneh, 2022. "Model for Optimal Power Coefficient Tracking and Loss Reduction of the Wind Turbine Systems," Energies, MDPI, vol. 15(11), pages 1-19, June.
    4. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    5. Evgeny Solomin & Shanmuga Priya Selvanathan & Sudhakar Kumarasamy & Anton Kovalyov & Ramyashree Maddappa Srinivasa, 2021. "The Comparison of Solar-Powered Hydrogen Closed-Cycle System Capacities for Selected Locations," Energies, MDPI, vol. 14(9), pages 1-18, May.
    6. Sangjib Kwon & Hyungbae Gil & Seoin Baek & Heetae Kim, 2022. "Optimal Solution for a Renewable-Energy-Generation System at a Private Educational Institute in South Korea," Energies, MDPI, vol. 15(24), pages 1-11, December.

    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. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    2. Wang, Jian-jun & Deng, Yu-cong & Sun, Wen-biao & Zheng, Xiao-bin & Cui, Zheng, 2023. "Maximum power point tracking method based on impedance matching for a micro hydropower generator," Applied Energy, Elsevier, vol. 340(C).
    3. Kashif Sohail & Hooman Farzaneh, 2022. "Model for Optimal Power Coefficient Tracking and Loss Reduction of the Wind Turbine Systems," Energies, MDPI, vol. 15(11), pages 1-19, June.
    4. Dalia Yousri & Thanikanti Sudhakar Babu & Dalia Allam & Vigna. K. Ramachandaramurthy & Eman Beshr & Magdy. B. Eteiba, 2019. "Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems," Energies, MDPI, vol. 12(18), pages 1-27, September.
    5. Zapata, Sebastian & Castaneda, Monica & Aristizabal, Andres J. & Dyner, Isaac, 2022. "Renewables for supporting supply adequacy in Colombia," Energy, Elsevier, vol. 239(PC).
    6. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    7. Taofeek Afolabi & Hooman Farzaneh, 2023. "Optimal Design and Operation of an Off-Grid Hybrid Renewable Energy System in Nigeria’s Rural Residential Area, Using Fuzzy Logic and Optimization Techniques," Sustainability, MDPI, vol. 15(4), pages 1-33, February.
    8. Jihed Hmad & Azeddine Houari & Allal El Moubarek Bouzid & Abdelhakim Saim & Hafedh Trabelsi, 2023. "A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids," Energies, MDPI, vol. 16(13), pages 1-41, June.
    9. Bogdanov, Dmitrii & Toktarova, Alla & Breyer, Christian, 2019. "Transition towards 100% renewable power and heat supply for energy intensive economies and severe continental climate conditions: Case for Kazakhstan," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. Camilo, Jones C. & Guedes, Tatiana & Fernandes, Darlan A. & Melo, J.D. & Costa, F.F. & Sguarezi Filho, Alfeu J., 2019. "A maximum power point tracking for photovoltaic systems based on Monod equation," Renewable Energy, Elsevier, vol. 130(C), pages 428-438.
    11. Yanfeng Liu & Yaxing Wang & Xi Luo, 2020. "Design and Operation Optimization of Distributed Solar Energy System Based on Dynamic Operation Strategy," Energies, MDPI, vol. 14(1), pages 1-26, December.
    12. Lemence, Allen Lemuel G. & Tamayao, Mili-Ann M., 2021. "Energy consumption profile estimation and benefits of hybrid solar energy system adoption for rural health units in the Philippines," Renewable Energy, Elsevier, vol. 178(C), pages 651-668.
    13. Maruf, Md. Nasimul Islam, 2021. "Open model-based analysis of a 100% renewable and sector-coupled energy system–The case of Germany in 2050," Applied Energy, Elsevier, vol. 288(C).
    14. Michael O. Ukoba & Ogheneruona E. Diemuodeke & Mohammed Alghassab & Henry I. Njoku & Muhammad Imran & Zafar A. Khan, 2020. "Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria," Sustainability, MDPI, vol. 12(14), pages 1-27, July.
    15. Li, Aitong & Xu, Yuan & Shiroyama, Hideaki, 2019. "Solar lobby and energy transition in Japan," Energy Policy, Elsevier, vol. 134(C).
    16. Muhammad Bilal Ali & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Mohammed A. Alghassab, 2023. "Decarbonizing Telecommunication Sector: Techno-Economic Assessment and Optimization of PV Integration in Base Transceiver Stations in Telecom Sector Spreading across Various Geographically Regions," Energies, MDPI, vol. 16(9), pages 1-34, April.
    17. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.
    18. Changsheng Yuan & Xuesong Zhou & Youjie Ma & Zhiqiang Gao & Yongliang Zhou & Chenglong Wang, 2020. "Improved Application of Third-Order LADRC in Wind Power Inverter," Energies, MDPI, vol. 13(17), pages 1-22, August.
    19. Ruben Hidalgo-Leon & Fernando Amoroso & Javier Urquizo & Viviana Villavicencio & Miguel Torres & Pritpal Singh & Guillermo Soriano, 2022. "Feasibility Study for Off-Grid Hybrid Power Systems Considering an Energy Efficiency Initiative for an Island in Ecuador," Energies, MDPI, vol. 15(5), pages 1-25, February.
    20. Constantino Dário Justo & José Eduardo Tafula & Pedro Moura, 2022. "Planning Sustainable Energy Systems in the Southern African Development Community: A Review of Power Systems Planning Approaches," Energies, MDPI, vol. 15(21), pages 1-28, October.

    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:jeners:v:14:y:2021:i:7:p:1960-:d:528838. 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.