IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i10p5730-d558414.html
   My bibliography  Save this article

On the Optimal Tilt Angle and Orientation of an On-Site Solar Photovoltaic Energy Generation System for Sabah’s Rural Electrification

Author

Listed:
  • Maryon Eliza Matius

    (Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Mohd Azlan Ismail

    (Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Yan Yan Farm

    (Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Adriana Erica Amaludin

    (Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Mohd Adzrie Radzali

    (Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

  • Ahmad Fazlizan

    (Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia)

  • Wan Khairul Muzammil

    (Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Malaysia)

Abstract

An ongoing project to implement a mini standalone solar photovoltaic (PV) generation system of 2.5 kWp capacity at the eco-tourism centre of Liogu Ku Silou-Silou (EPLISSI), Sabah, was initiated in 2019. Since the solar panel support (ground mounting) used in this project will be erected separately, the main goals of this study are to estimate the optimum tilt angle, β opt , and orientation for the solar PV modules. To achieve these goals, the Liu and Jordan isotropic diffuse radiation model was used (1960). Another three isotropic diffuse sky radiation models (Koronakis model, Badescu model, and Tian model) were applied to estimate the optimum tilt angle with the orientation kept facing due south. For verification purposes, the PV power output data obtained from an online PV simulator known as Global Solar Atlas or GSA 2.3 was used and compared to the results of the four isotropic models. The results suggest that the Tian model is more suitable for approximating insolation, as it was proven to have the lowest difference among all models and is in close agreement with the result of the optimum tilt angle provided by GSA 2.3. However, the outcomes demonstrated from the isotropic models propose an error up to 30% (in the range of 31% to 32%) as compared to GSA 2.3.

Suggested Citation

  • Maryon Eliza Matius & Mohd Azlan Ismail & Yan Yan Farm & Adriana Erica Amaludin & Mohd Adzrie Radzali & Ahmad Fazlizan & Wan Khairul Muzammil, 2021. "On the Optimal Tilt Angle and Orientation of an On-Site Solar Photovoltaic Energy Generation System for Sabah’s Rural Electrification," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5730-:d:558414
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/10/5730/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/10/5730/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ramez Abdallah & Adel Juaidi & Salameh Abdel-Fattah & Francisco Manzano-Agugliaro, 2020. "Estimating the Optimum Tilt Angles for South-Facing Surfaces in Palestine," Energies, MDPI, vol. 13(3), pages 1-29, February.
    2. Getu Hailu & Alan S. Fung, 2019. "Optimum Tilt Angle and Orientation of Photovoltaic Thermal System for Application in Greater Toronto Area, Canada," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    3. Tamer Khatib & Dhiaa Halboot Muhsen, 2020. "Optimal Sizing of Standalone Photovoltaic System Using Improved Performance Model and Optimization Algorithm," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    4. Seshie, Yao M. & N’Tsoukpoe, Kokouvi Edem & Neveu, Pierre & Coulibaly, Yézouma & Azoumah, Yao K., 2018. "Small scale concentrating solar plants for rural electrification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 195-209.
    5. Jayaraman, K. & Paramasivan, Lavinsaa & Kiumarsi, Shaian, 2017. "Reasons for low penetration on the purchase of photovoltaic (PV) panel system among Malaysian landed property owners," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 562-571.
    6. Oró, Eduard & Gil, Antoni & de Gracia, Alvaro & Boer, Dieter & Cabeza, Luisa F., 2012. "Comparative life cycle assessment of thermal energy storage systems for solar power plants," Renewable Energy, Elsevier, vol. 44(C), pages 166-173.
    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. Zhang, Kai & Chen, Min & Yang, Yue & Zhong, Teng & Zhu, Rui & Zhang, Fan & Qian, Zhen & Lü, Guonian & Yan, Jinyue, 2022. "Quantifying the photovoltaic potential of highways in China," Applied Energy, Elsevier, vol. 324(C).
    2. Ndeto, Martin Paul & Wekesa, David Wafula & Njoka, Francis & Kinyua, Robert, 2023. "Aeolian dust distribution, elemental concentration, characteristics and its effects on the conversion efficiency of crystalline silicon solar cells," Renewable Energy, Elsevier, vol. 208(C), pages 481-491.

    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. Ramez Abdallah & Emad Natsheh & Adel Juaidi & Sufyan Samara & Francisco Manzano-Agugliaro, 2020. "A Multi-Level World Comprehensive Neural Network Model for Maximum Annual Solar Irradiation on a Flat Surface," Energies, MDPI, vol. 13(23), pages 1-31, December.
    2. Al-Nimr, Moh’d A. & Al-Ammari, Wahib A., 2020. "A novel hybrid and interactive solar system consists of Stirling engine ̸vacuum evaporator ̸thermoelectric cooler for electricity generation and water distillation," Renewable Energy, Elsevier, vol. 153(C), pages 1053-1066.
    3. Jorge M. Llamas & David Bullejos & Manuel Ruiz de Adana, 2019. "Optimization of 100 MW e Parabolic-Trough Solar-Thermal Power Plants Under Regulated and Deregulated Electricity Market Conditions," Energies, MDPI, vol. 12(20), pages 1-23, October.
    4. Mostafavi Tehrani, S. Saeed & Shoraka, Yashar & Nithyanandam, Karthik & Taylor, Robert A., 2019. "Shell-and-tube or packed bed thermal energy storage systems integrated with a concentrated solar power: A techno-economic comparison of sensible and latent heat systems," Applied Energy, Elsevier, vol. 238(C), pages 887-910.
    5. Miró, Laia & Oró, Eduard & Boer, Dieter & Cabeza, Luisa F., 2015. "Embodied energy in thermal energy storage (TES) systems for high temperature applications," Applied Energy, Elsevier, vol. 137(C), pages 793-799.
    6. Liu, Chunyu & Zheng, Xinrui & Yang, Haibin & Tang, Waiching & Sang, Guochen & Cui, Hongzhi, 2023. "Techno-economic evaluation of energy storage systems for concentrated solar power plants using the Monte Carlo method," Applied Energy, Elsevier, vol. 352(C).
    7. Gönül, Ömer & Yazar, Fatih & Duman, A. Can & Güler, Önder, 2022. "A comparative techno-economic assessment of manually adjustable tilt mechanisms and automatic solar trackers for behind-the-meter PV applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Sameh Monna & Adel Juaidi & Ramez Abdallah & Aiman Albatayneh & Patrick Dutournie & Mejdi Jeguirim, 2021. "Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine," Energies, MDPI, vol. 14(13), pages 1-13, June.
    9. Arifa Tanveer & Shihong Zeng & Muhammad Irfan & Rui Peng, 2021. "Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior," Energies, MDPI, vol. 14(16), pages 1-24, August.
    10. Miguel Ángel Pardo & Héctor Fernández & Antonio Jodar-Abellan, 2020. "Converting a Water Pressurized Network in a Small Town into a Solar Power Water System," Energies, MDPI, vol. 13(15), pages 1-26, August.
    11. Jayathunga, D.S. & Karunathilake, H.P. & Narayana, M. & Witharana, S., 2024. "Phase change material (PCM) candidates for latent heat thermal energy storage (LHTES) in concentrated solar power (CSP) based thermal applications - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    12. Lau, Lin-Sea & Choong, Yuen-Onn & Wei, Chooi-Yi & Seow, Ai-Na & Choong, Chee-Keong & Senadjki, Abdelhak & Ching, Suet-Ling, 2020. "Investigating nonusers’ behavioural intention towards solar photovoltaic technology in Malaysia: The role of knowledge transmission and price value," Energy Policy, Elsevier, vol. 144(C).
    13. Ronewa Collen Nemalili & Lordwell Jhamba & Joseph Kiprono Kirui & Caston Sigauke, 2023. "Nowcasting Hourly-Averaged Tilt Angles of Acceptance for Solar Collector Applications Using Machine Learning Models," Energies, MDPI, vol. 16(2), pages 1-19, January.
    14. Claudia Fabiani & Anna Laura Pisello & Marco Barbanera & Luisa F. Cabeza & Franco Cotana, 2019. "Assessing the Potentiality of Animal Fat Based-Bio Phase Change Materials (PCM) for Building Applications: An Innovative Multipurpose Thermal Investigation," Energies, MDPI, vol. 12(6), pages 1-18, March.
    15. Harnpon Phungrassami & Phairat Usubharatana, 2021. "Environmental Problem Shifting Analysis of Pollution Control Units in a Coal-Fired Powerplant Based on Multiple Regression and LCA Methodology," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    16. Vallecha, H. & Bhola, P., 2019. "Sustainability and replicability framework: Actor network theory based critical case analysis of renewable community energy projects in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 194-208.
    17. Ramez Abdallah & Adel Juaidi & Salameh Abdel-Fattah & Mahmoud Qadi & Montaser Shadid & Aiman Albatayneh & Hüseyin Çamur & Amos García-Cruz & Francisco Manzano-Agugliaro, 2022. "The Effects of Soiling and Frequency of Optimal Cleaning of PV Panels in Palestine," Energies, MDPI, vol. 15(12), pages 1-18, June.
    18. Lechón, Yolanda & Lago, Carmen & Herrera, Israel & Gamarra, Ana Rosa & Pérula, Alberto, 2023. "Carbon benefits of different energy storage alternative end uses. Application to the Spanish case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    19. Llorach-Massana, Pere & Peña, Javier & Rieradevall, Joan & Montero, Juan Ignacio, 2016. "LCA & LCCA of a PCM application to control root zone temperatures of hydroponic crops in comparison with conventional root zone heating systems," Renewable Energy, Elsevier, vol. 85(C), pages 1079-1089.
    20. Bashiri, Ali & Alizadeh, Sasan H., 2018. "The analysis of demographics, environmental and knowledge factors affecting prospective residential PV system adoption: A study in Tehran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3131-3139.

    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:jsusta:v:13:y:2021:i:10:p:5730-:d:558414. 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.