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Hybrid renewable energy integration (HREI) system for subtropical climate in Central Queensland, Australia

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  • Shafiullah, G.M.

Abstract

Global warming encourages interest worldwide to integrate large quantities of renewable energy into the power grid as these sources are free from greenhouse gas emissions as well as assisting to reduce the energy crisis. Demand for energy in the Capricornia region of Queensland, Australia is increasing due to expansion of the coal industry and the availability of nearby iconic tourist attractions such as the Great Barrier Reef. Therefore, to reduce the energy crisis as well as minimise global warming, a hybrid renewable energy integration system was developed to facilitate installation of significant renewable energy generation capacity into the grid in the subtropical climate of Central Queensland. The proposed hybrid renewable energy integration system comprises a prediction model that forecasts solar and wind generation in advance; a techno-economic model that analyses the techno-economic and environmental prospects of renewable energy; and a load management system by which utilities can manage customer load demand efficiently. It has been shown that a subtropical climatic region has significant potentialities for substantially increased use of renewable energy which can not only contribute to the reduction of global warming, but also reduce energy generation costs and help ameliorate the energy crisis.

Suggested Citation

  • Shafiullah, G.M., 2016. "Hybrid renewable energy integration (HREI) system for subtropical climate in Central Queensland, Australia," Renewable Energy, Elsevier, vol. 96(PA), pages 1034-1053.
    • Handle: RePEc:eee:renene:v:96:y:2016:i:pa:p:1034-1053
    DOI: 10.1016/j.renene.2016.04.101
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    Cited by:

    1. Fahad Alharbi & Denes Csala, 2020. "Saudi Arabia’s Solar and Wind Energy Penetration: Future Performance and Requirements," Energies, MDPI, vol. 13(3), pages 1-18, January.
    2. Chih-Chiang Wei, 2017. "Nearshore Wave Predictions Using Data Mining Techniques during Typhoons: A Case Study near Taiwan’s Northeastern Coast," Energies, MDPI, vol. 11(1), pages 1-23, December.
    3. Nallapaneni Manoj Kumar & Shauhrat S. Chopra & Aneesh A. Chand & Rajvikram Madurai Elavarasan & G.M. Shafiullah, 2020. "Hybrid Renewable Energy Microgrid for a Residential Community: A Techno-Economic and Environmental Perspective in the Context of the SDG7," Sustainability, MDPI, vol. 12(10), pages 1-30, May.
    4. Md Asaduzzaman Shoeb & GM. Shafiullah, 2018. "Renewable Energy Integrated Islanded Microgrid for Sustainable Irrigation—A Bangladesh Perspective," Energies, MDPI, vol. 11(5), pages 1-19, May.
    5. Ajlan, Abdullah & Tan, Chee Wei & Abdilahi, Abdirahman Mohamed, 2017. "Assessment of environmental and economic perspectives for renewable-based hybrid power system in Yemen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 559-570.
    6. Rajvikram Madurai Elavarasan & G. M. Shafiullah & Nallapaneni Manoj Kumar & Sanjeevikumar Padmanaban, 2019. "A State-of-the-Art Review on the Drive of Renewables in Gujarat, State of India: Present Situation, Barriers and Future Initiatives," Energies, MDPI, vol. 13(1), pages 1-30, December.
    7. Furat Dawood & GM Shafiullah & Martin Anda, 2020. "Stand-Alone Microgrid with 100% Renewable Energy: A Case Study with Hybrid Solar PV-Battery-Hydrogen," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
    8. 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).
    9. Dong Zhang & GM Shafiullah & Choton Kanti Das & Kok Wai Wong, 2023. "Optimal Allocation of Battery Energy Storage Systems to Enhance System Performance and Reliability in Unbalanced Distribution Networks," Energies, MDPI, vol. 16(20), pages 1-35, October.
    10. Mendoza-Vizcaino, Javier & Raza, Muhammad & Sumper, Andreas & Díaz-González, Francisco & Galceran-Arellano, Samuel, 2019. "Integral approach to energy planning and electric grid assessment in a renewable energy technology integration for a 50/50 target applied to a small island," Applied Energy, Elsevier, vol. 233, pages 524-543.
    11. McPherson, Madeleine & Harvey, L.D. Danny & Karney, Bryan, 2017. "System design and operation for integrating variable renewable energy resources through a comprehensive characterization framework," Renewable Energy, Elsevier, vol. 113(C), pages 1019-1032.
    12. Mohammad Mehdi Lotfinejad & Reza Hafezi & Majid Khanali & Seyed Sina Hosseini & Mehdi Mehrpooya & Shahaboddin Shamshirband, 2018. "A Comparative Assessment of Predicting Daily Solar Radiation Using Bat Neural Network (BNN), Generalized Regression Neural Network (GRNN), and Neuro-Fuzzy (NF) System: A Case Study," Energies, MDPI, vol. 11(5), pages 1-15, May.
    13. Jeslin Drusila Nesamalar, J. & Venkatesh, P. & Charles Raja, S., 2017. "The drive of renewable energy in Tamilnadu: Status, barriers and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 115-124.
    14. Chih-Chiang Wei, 2017. "Predictions of Surface Solar Radiation on Tilted Solar Panels using Machine Learning Models: A Case Study of Tainan City, Taiwan," Energies, MDPI, vol. 10(10), pages 1-26, October.
    15. Xiuli Wu & Xianli Shen & Qi Cui, 2018. "Multi-Objective Flexible Flow Shop Scheduling Problem Considering Variable Processing Time due to Renewable Energy," Sustainability, MDPI, vol. 10(3), pages 1-30, March.
    16. Siddik Shakul Hameed & Ramesh Ramadoss & Kannadasan Raju & GM Shafiullah, 2022. "A Framework-Based Wind Forecasting to Assess Wind Potential with Improved Grey Wolf Optimization and Support Vector Regression," Sustainability, MDPI, vol. 14(7), pages 1-29, April.
    17. Mazzeo, Domenico & Matera, Nicoletta & De Luca, Pierangelo & Baglivo, Cristina & Maria Congedo, Paolo & Oliveti, Giuseppe, 2020. "Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates," Applied Energy, Elsevier, vol. 276(C).
    18. Hani Al-Rawashdeh & Omar Ali Al-Khashman & Jehad T. Al Bdour & Mohamed R. Gomaa & Hegazy Rezk & Abdullah Marashli & Laith M. Arrfou & Mohamed Louzazni, 2023. "Performance Analysis of a Hybrid Renewable-Energy System for Green Buildings to Improve Efficiency and Reduce GHG Emissions with Multiple Scenarios," Sustainability, MDPI, vol. 15(9), pages 1-32, May.

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