IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v143y2015icp301-311.html
   My bibliography  Save this article

Assessment of direct normal irradiance and cloud connections using satellite data over Australia

Author

Listed:
  • Prasad, Abhnil A.
  • Taylor, Robert A.
  • Kay, Merlinde

Abstract

Australia has some of the best solar energy resources on the planet. With a Renewable Energy Target (RET) scheme designed to ensure that 20% of Australia’s electricity comes from renewable sources by 2020, these resources are rapidly being developed. Although not yet widespread, Concentrating Solar Power (CSP) plants are expected to play a significant role in Australia’s future solar-derived electricity. The variability of Direct Normal Irradiance (DNI) is largely responsible for the fluctuations in solar energy outputs from CSP plants. The temporal and spatial variability of DNI over Australia provides an assessment of the solar resource for future deployment of CSP plants. As such, this study analyses recent trends in the hourly solar DNI resource using data from 1990 to 2012 obtained from the Bureau of Meteorology (BOM). The deseasonalized DNI anomaly trends were significant over the west, southeast and northeast of Australia for all seasons. Knowledge of these trends is extremely important for siting and the prediction of CSP plant outputs. DNI increased by 50Wm−2 over west and southeast of Australia, whereas it decreased by 100Wm−2 over northeast of Australia – representing approximately +5% and −12% deviations from the long-term averages, respectively. Seasonal analysis also showed significant DNI trends, especially during the summer and winter. Most of the changes seen in DNI over Australia were modulated by changes in cloud amount over the region. The cloud amount obtained from the International Satellite Cloud Climatology Product (ISCCP) showed high negative correlations associated with DNI anomalies over Australia. The anomaly in cloud amount is highly correlated with the Southern Oscillation Index (SOI) obtained from BOM. The strengthening convective activity over Indonesia associated with strong La Niña events modulates cloud coverage teleconnecting towards northern Australia. This increases cloud cover and lowers the DNI significantly over these regions during the summer and autumn season. Although the change in DNI associated with cloud amount is clear, the effect of change in aerosols over these years still needs to be investigated.

Suggested Citation

  • Prasad, Abhnil A. & Taylor, Robert A. & Kay, Merlinde, 2015. "Assessment of direct normal irradiance and cloud connections using satellite data over Australia," Applied Energy, Elsevier, vol. 143(C), pages 301-311.
    • Handle: RePEc:eee:appene:v:143:y:2015:i:c:p:301-311
    DOI: 10.1016/j.apenergy.2015.01.050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915000665
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.01.050?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. Zhang, Yabei & Smith, Steven J. & Kyle, G. Page & Stackhouse Jr., Paul W., 2010. "Modeling the potential for thermal concentrating solar power technologies," Energy Policy, Elsevier, vol. 38(12), pages 7884-7897, December.
    2. Elliston, Ben & MacGill, Iain & Prasad, Abhnil & Kay, Merlinde, 2015. "Spatio-temporal characterisation of extended low direct normal irradiance events over Australia using satellite derived solar radiation data," Renewable Energy, Elsevier, vol. 74(C), pages 633-639.
    3. Dawson, Lucas & Schlyter, Peter, 2012. "Less is more: Strategic scale site suitability for concentrated solar thermal power in Western Australia," Energy Policy, Elsevier, vol. 47(C), pages 91-101.
    4. Bahadori, Alireza & Nwaoha, Chikezie, 2013. "A review on solar energy utilisation in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 1-5.
    5. Mojiri, Ahmad & Taylor, Robert & Thomsen, Elizabeth & Rosengarten, Gary, 2013. "Spectral beam splitting for efficient conversion of solar energy—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 654-663.
    6. Branislava Jovanovic & Dean Collins & Karl Braganza & Doerte Jakob & David Jones, 2011. "A high-quality monthly total cloud amount dataset for Australia," Climatic Change, Springer, vol. 108(3), pages 485-517, October.
    7. Yusaf, Talal & Goh, Steven & Borserio, J.A., 2011. "Potential of renewable energy alternatives in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2214-2221, June.
    8. Martins, F.R. & Pereira, E.B. & Silva, S.A.B. & Abreu, S.L. & Colle, Sergio, 2008. "Solar energy scenarios in Brazil, Part one: Resource assessment," Energy Policy, Elsevier, vol. 36(8), pages 2843-2854, August.
    9. Beath, Andrew C., 2012. "Industrial energy usage in Australia and the potential for implementation of solar thermal heat and power," Energy, Elsevier, vol. 43(1), pages 261-272.
    10. Clifton, Julian & Boruff, Bryan J., 2010. "Assessing the potential for concentrated solar power development in rural Australia," Energy Policy, Elsevier, vol. 38(9), pages 5272-5280, September.
    11. Ridley, Barbara & Boland, John & Lauret, Philippe, 2010. "Modelling of diffuse solar fraction with multiple predictors," Renewable Energy, Elsevier, vol. 35(2), pages 478-483.
    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. Abhnil Amtesh Prasad & Merlinde Kay, 2021. "Prediction of Solar Power Using Near-Real Time Satellite Data," Energies, MDPI, vol. 14(18), pages 1-20, September.
    2. García, Jesús & Soo Too, Yen Chean & Padilla, Ricardo Vasquez & Beath, Andrew & Kim, Jin-Soo & Sanjuan, Marco E., 2018. "Dynamic performance of an aiming control methodology for solar central receivers due to cloud disturbances," Renewable Energy, Elsevier, vol. 121(C), pages 355-367.
    3. Dasari, Hari Prasad & Desamsetti, Srinivas & Langodan, Sabique & Attada, Raju & Kunchala, Ravi Kumar & Viswanadhapalli, Yesubabu & Knio, Omar & Hoteit, Ibrahim, 2019. "High-resolution assessment of solar energy resources over the Arabian Peninsula," Applied Energy, Elsevier, vol. 248(C), pages 354-371.
    4. Huang, Shoujun & Abedinia, Oveis, 2021. "Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market," Energy, Elsevier, vol. 225(C).
    5. Bustos, Cristian & Watts, David & Ayala, Marysol, 2017. "Financial risk reduction in photovoltaic projects through ocean-atmospheric oscillations modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 548-568.
    6. Terrén-Serrano, Guillermo & Martínez-Ramón, Manel, 2021. "Comparative analysis of methods for cloud segmentation in ground-based infrared images," Renewable Energy, Elsevier, vol. 175(C), pages 1025-1040.
    7. Zhang, Huili & Benoit, Hadrien & Gauthier, Daniel & Degrève, Jan & Baeyens, Jan & López, Inmaculada Pérez & Hemati, Mehrdji & Flamant, Gilles, 2016. "Particle circulation loops in solar energy capture and storage: Gas–solid flow and heat transfer considerations," Applied Energy, Elsevier, vol. 161(C), pages 206-224.
    8. Terrén-Serrano, Guillermo & Martínez-Ramón, Manel, 2021. "Multi-layer wind velocity field visualization in infrared images of clouds for solar irradiance forecasting," Applied Energy, Elsevier, vol. 288(C).
    9. Keon Baek & Woong Ko & Jinho Kim, 2019. "Optimal Scheduling of Distributed Energy Resources in Residential Building under the Demand Response Commitment Contract," Energies, MDPI, vol. 12(14), pages 1-19, July.
    10. Yagli, Gokhan Mert & Yang, Dazhi & Gandhi, Oktoviano & Srinivasan, Dipti, 2020. "Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?," Applied Energy, Elsevier, vol. 259(C).
    11. Abutayeh, Mohammad & Padilla, Ricardo Vasquez & Lake, Maree & Lim, Yee Yan & Garcia, Jesus & Sedighi, Mohammadreza & Soo Too, Yen Chean & Jeong, Kwangkook, 2019. "Effect of short cloud shading on the performance of parabolic trough solar power plants: motorized vs manual valves," Renewable Energy, Elsevier, vol. 142(C), pages 330-344.
    12. Prasad, Abhnil A. & Taylor, Robert A. & Kay, Merlinde, 2017. "Assessment of solar and wind resource synergy in Australia," Applied Energy, Elsevier, vol. 190(C), pages 354-367.
    13. Abhnil Amtesh Prasad & Merlinde Kay, 2020. "Assessment of Simulated Solar Irradiance on Days of High Intermittency Using WRF-Solar," Energies, MDPI, vol. 13(2), pages 1-22, January.
    14. Nonnenmacher, Lukas & Kaur, Amanpreet & Coimbra, Carlos F.M., 2016. "Day-ahead resource forecasting for concentrated solar power integration," Renewable Energy, Elsevier, vol. 86(C), pages 866-876.
    15. Prasad, Abhnil Amtesh & Yang, Yuqing & Kay, Merlinde & Menictas, Chris & Bremner, Stephen, 2021. "Synergy of solar photovoltaics-wind-battery systems in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    16. WenminQin, & Wang, Lunche & Gueymard, Christian A. & Bilal, Muhammad & Lin, Aiwen & Wei, Jing & Zhang, Ming & Yang, Xuefang, 2020. "Constructing a gridded direct normal irradiance dataset in China during 1981–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    17. Moreira, Alexandre & Pozo, David & Street, Alexandre & Sauma, Enzo & Strbac, Goran, 2021. "Climate‐aware generation and transmission expansion planning: A three‐stage robust optimization approach," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1099-1118.
    18. Ruidi Zhu & Dong Ni, 2023. "A Model Predictive Control Approach for Heliostat Field Power Regulatory Aiming Strategy under Varying Cloud Shadowing Conditions," Energies, MDPI, vol. 16(7), pages 1-19, March.
    19. Mohammadi, Kasra & Goudarzi, Navid, 2018. "Association of direct normal irradiance with El Niño Southern Oscillation and its consequence on concentrated solar power production in the US Southwest," Applied Energy, Elsevier, vol. 212(C), pages 1126-1137.

    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. Prasad, Abhnil A. & Taylor, Robert A. & Kay, Merlinde, 2017. "Assessment of solar and wind resource synergy in Australia," Applied Energy, Elsevier, vol. 190(C), pages 354-367.
    2. Deo, Ravinesh C. & Şahin, Mehmet, 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 828-848.
    3. Xu, Xinhai & Vignarooban, K. & Xu, Ben & Hsu, K. & Kannan, A.M., 2016. "Prospects and problems of concentrating solar power technologies for power generation in the desert regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1106-1131.
    4. Deo, Ravinesh C. & Wen, Xiaohu & Qi, Feng, 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset," Applied Energy, Elsevier, vol. 168(C), pages 568-593.
    5. Hoz, Jordi de la & Martín, Helena & Montalà, Montserrat & Matas, José & Guzman, Ramon, 2018. "Assessing the 2014 retroactive regulatory framework applied to the concentrating solar power systems in Spain," Applied Energy, Elsevier, vol. 212(C), pages 1377-1399.
    6. Sharma, Chandan & Sharma, Ashish K. & Mullick, Subhash C. & Kandpal, Tara C., 2015. "Assessment of solar thermal power generation potential in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 902-912.
    7. Zhao, Zhen-Yu & Chen, Yu-Long & Thomson, John Douglas, 2017. "Levelized cost of energy modeling for concentrated solar power projects: A China study," Energy, Elsevier, vol. 120(C), pages 117-127.
    8. Malagueta, Diego & Szklo, Alexandre & Borba, Bruno Soares Moreira Cesar & Soria, Rafael & Aragão, Raymundo & Schaeffer, Roberto & Dutra, Ricardo, 2013. "Assessing incentive policies for integrating centralized solar power generation in the Brazilian electric power system," Energy Policy, Elsevier, vol. 59(C), pages 198-212.
    9. Labordena, Mercè & Patt, Anthony & Bazilian, Morgan & Howells, Mark & Lilliestam, Johan, 2017. "Impact of political and economic barriers for concentrating solar power in Sub-Saharan Africa," Energy Policy, Elsevier, vol. 102(C), pages 52-72.
    10. John Foster & Liam Wagner & Liam Byrnes, 2014. "A Review of Distributed Generation for Rural and Remote Area Electrification," Energy Economics and Management Group Working Papers 3-2014, School of Economics, University of Queensland, Australia.
    11. Elliston, Ben & MacGill, Iain & Prasad, Abhnil & Kay, Merlinde, 2015. "Spatio-temporal characterisation of extended low direct normal irradiance events over Australia using satellite derived solar radiation data," Renewable Energy, Elsevier, vol. 74(C), pages 633-639.
    12. Farjana, Shahjadi Hisan & Huda, Nazmul & Mahmud, M.A. Parvez & Saidur, R., 2018. "Solar industrial process heating systems in operation – Current SHIP plants and future prospects in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 409-419.
    13. Bahadori, Alireza & Zendehboudi, Sohrab & Zahedi, Gholamreza, 2013. "A review of geothermal energy resources in Australia: Current status and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 29-34.
    14. Lemos, Leonardo F.L. & Starke, Allan R. & Boland, John & Cardemil, José M. & Machado, Rubinei D. & Colle, Sergio, 2017. "Assessment of solar radiation components in Brazil using the BRL model," Renewable Energy, Elsevier, vol. 108(C), pages 569-580.
    15. Salcedo-Sanz, Sancho & Deo, Ravinesh C. & Cornejo-Bueno, Laura & Camacho-Gómez, Carlos & Ghimire, Sujan, 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia," Applied Energy, Elsevier, vol. 209(C), pages 79-94.
    16. Bahadori, Alireza & Nwaoha, Chikezie, 2013. "A review on solar energy utilisation in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 1-5.
    17. Aly, Ahmed & Bernardos, Ana & Fernandez-Peruchena, Carlos M. & Jensen, Steen Solvang & Pedersen, Anders Branth, 2019. "Is Concentrated Solar Power (CSP) a feasible option for Sub-Saharan Africa?: Investigating the techno-economic feasibility of CSP in Tanzania," Renewable Energy, Elsevier, vol. 135(C), pages 1224-1240.
    18. Tarun Kumar Aseri & Chandan Sharma & Tara C. Kandpal, 2022. "Condenser cooling technologies for concentrating solar power plants: a review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4511-4565, April.
    19. Duvenhage, D. Frank & Brent, Alan C. & Stafford, William H.L., 2019. "The need to strategically manage CSP fleet development and water resources: A structured review and way forward," Renewable Energy, Elsevier, vol. 132(C), pages 813-825.
    20. Malagueta, Diego & Szklo, Alexandre & Soria, Rafael & Dutra, Ricardo & Schaeffer, Roberto & Moreira Cesar Borba, Bruno Soares, 2014. "Potential and impacts of Concentrated Solar Power (CSP) integration in the Brazilian electric power system," Renewable Energy, Elsevier, vol. 68(C), pages 223-235.

    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:143:y:2015:i:c:p:301-311. 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.