IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v53y2013icp132-140.html
   My bibliography  Save this article

Satellite-derived solar resource maps for Myanmar

Author

Listed:
  • Janjai, Serm
  • Masiri, Itsara
  • Laksanaboonsong, Jarungsaeng

Abstract

Solar resource maps for use in solar energy applications have been produced for Myanmar. A satellite-based solar radiation model, originally developed for the tropics, was improved and applied for the region. A 13-year period (1998–2010) of imagery data from GMS 5, GOES 9 and MTSAT-1R satellites was used as the main input in the model. The absorption and scattering of solar radiation by various atmospheric constituents was also taken into account. The absorption of solar radiation due to water vapour was estimated from precipitable water database obtained from the National Center for Environmental Protection (NCEP), USA. The total column ozone obtained from TOMS/EP and OMI/AURA satellites were used to calculate solar radiation absorption by ozone. The visibility data observed at meteorological stations in Myanmar and neighbouring countries were employed to estimate solar radiation depletion due to aerosols. In order to validate the model, five pyranometer stations were established in different regions of Myanmar and a two-year period of data from these stations were used for the model validation. Additionally, global solar radiation measured at 10 stations in a neighbouring country was also employed for the validation. It was found that monthly average global radiation obtained from the measurements and that estimated from the model was in good agreement, with a root mean square difference of 9.6% at monthly scale. After the validation, the model was used to estimate monthly average global radiation over Myanmar and the results were presented as solar resource maps. The maps revealed that geographical distribution of solar radiation was strongly influenced by the topography of the country and the tropical monsoons.

Suggested Citation

  • Janjai, Serm & Masiri, Itsara & Laksanaboonsong, Jarungsaeng, 2013. "Satellite-derived solar resource maps for Myanmar," Renewable Energy, Elsevier, vol. 53(C), pages 132-140.
    • Handle: RePEc:eee:renene:v:53:y:2013:i:c:p:132-140
    DOI: 10.1016/j.renene.2012.11.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148112007173
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2012.11.014?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. Chaabane, M & Ben Djemaa, A, 2002. "Use of HR Meteosat images for the mapping of global solar irradiation in Tunisia: preliminary results and comparison with Wefax images," Renewable Energy, Elsevier, vol. 25(1), pages 139-151.
    2. Bosch, J.L. & Batlles, F.J. & Zarzalejo, L.F. & López, G., 2010. "Solar resources estimation combining digital terrain models and satellite images techniques," Renewable Energy, Elsevier, vol. 35(12), pages 2853-2861.
    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. Salazar, Germán & Checura Diaz, Miguel S. & Denegri, María J. & Tiba, Chigueru, 2015. "Identification of potential areas to achieve stable energy production using the SWERA database: A case study of northern Chile," Renewable Energy, Elsevier, vol. 77(C), pages 208-216.
    2. Hsin-Hung Lin & Jui-Hung Cheng, 2020. "A Study of the Simulation and Analysis of the Flow Field of Natural Convection for a Container House," Sustainability, MDPI, vol. 12(23), pages 1-28, November.
    3. Hernández-Escobedo, Q. & Fernández-García, A. & Manzano-Agugliaro, F., 2017. "Solar resource assessment for rural electrification and industrial development in the Yucatan Peninsula (Mexico)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1550-1561.
    4. Daniel del Barrio Alvarez & Masahiro Sugiyama, 2020. "A SWOT Analysis of Utility-Scale Solar in Myanmar," Energies, MDPI, vol. 13(4), pages 1-17, February.
    5. Alami Merrouni, Ahmed & Elwali Elalaoui, Fakhreddine & Mezrhab, Ahmed & Mezrhab, Abdelhamid & Ghennioui, Abdellatif, 2018. "Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco," Renewable Energy, Elsevier, vol. 119(C), pages 863-873.
    6. Yang, Dazhi & Gueymard, Christian A., 2019. "Producing high-quality solar resource maps by integrating high- and low-accuracy measurements using Gaussian processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    7. Pascale, Andrew & Urmee, Tania & Whale, Jonathan & Kumar, S., 2016. "Examining the potential for developing women-led solar PV enterprises in rural Myanmar," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 576-583.

    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. Ramirez Camargo, Luis & Gruber, Katharina & Nitsch, Felix, 2019. "Assessing variables of regional reanalysis data sets relevant for modelling small-scale renewable energy systems," Renewable Energy, Elsevier, vol. 133(C), pages 1468-1478.
    2. Hernández-Escobedo, Q. & Fernández-García, A. & Manzano-Agugliaro, F., 2017. "Solar resource assessment for rural electrification and industrial development in the Yucatan Peninsula (Mexico)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1550-1561.
    3. Alonso-Montesinos, J. & Martínez-Durbán, M. & del Sagrado, J. & del Águila, I.M. & Batlles, F.J., 2016. "The application of Bayesian network classifiers to cloud classification in satellite images," Renewable Energy, Elsevier, vol. 97(C), pages 155-161.
    4. Rehman, Naveed ur & Katebi, Milad & Shaikh, Faraz & Al Karim, Miftah, 2020. "Solar resource assessment of modern parking machines in an urban environment," Renewable Energy, Elsevier, vol. 149(C), pages 1406-1413.
    5. Sarmiento, Nilsa & Belmonte, Silvina & Dellicompagni, Pablo & Franco, Judith & Escalante, Karina & Sarmiento, Joaquín, 2019. "A solar irradiation GIS as decision support tool for the Province of Salta, Argentina," Renewable Energy, Elsevier, vol. 132(C), pages 68-80.
    6. Niu, Yinsen & Song, Jifeng & Zou, Lianglin & Yan, Zixuan & Lin, Xilong, 2024. "Cloud detection method using ground-based sky images based on clear sky library and superpixel local threshold," Renewable Energy, Elsevier, vol. 226(C).
    7. Luis Ramirez Camargo & Judith Franco & Nilsa María Sarmiento Babieri & Silvina Belmonte & Karina Escalante & Raphaela Pagany & Wolfgang Dorner, 2016. "Technical, Economical and Social Assessment of Photovoltaics in the Frame of the Net-Metering Law for the Province of Salta, Argentina," Energies, MDPI, vol. 9(3), pages 1-21, February.
    8. Linares-Rodriguez, Alvaro & Ruiz-Arias, José Antonio & Pozo-Vazquez, David & Tovar-Pescador, Joaquin, 2013. "An artificial neural network ensemble model for estimating global solar radiation from Meteosat satellite images," Energy, Elsevier, vol. 61(C), pages 636-645.
    9. Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems," Renewable Energy, Elsevier, vol. 33(7), pages 1435-1443.
    10. Bessafi, Miloud & Oree, Vishwamitra & Khoodaruth, Abdel & Jumaux, Guillaume & Bonnardot, François & Jeanty, Patrick & Delsaut, Mathieu & Chabriat, Jean-Pierre & Dauhoo, Muhammad Zaid, 2018. "Downscaling solar irradiance using DEM-based model in young volcanic islands with rugged topography," Renewable Energy, Elsevier, vol. 126(C), pages 584-593.
    11. Bessafi, Miloud & Oree, Vishwamitra & Khoodaruth, Abdel & Chabriat, Jean-Pierre, 2020. "Impact of decomposition and kriging models on the solar irradiance downscaling accuracy in regions with complex topography," Renewable Energy, Elsevier, vol. 162(C), pages 1992-2003.
    12. Alonso-Montesinos, J. & Batlles, F.J., 2015. "The use of a sky camera for solar radiation estimation based on digital image processing," Energy, Elsevier, vol. 90(P1), pages 377-386.
    13. Pillot, Benjamin & Muselli, Marc & Poggi, Philippe & Haurant, Pierrick & Hared, Idriss, 2013. "The first disaggregated solar atlas of Djibouti: A decision-making tool for solar systems integration in the energy scheme," Renewable Energy, Elsevier, vol. 57(C), pages 57-69.
    14. Moreno, A. & Gilabert, M.A. & Camacho, F. & Martínez, B., 2013. "Validation of daily global solar irradiation images from MSG over Spain," Renewable Energy, Elsevier, vol. 60(C), pages 332-342.
    15. Martínez-Chico, M. & Batlles, F.J. & Bosch, J.L., 2011. "Cloud classification in a mediterranean location using radiation data and sky images," Energy, Elsevier, vol. 36(7), pages 4055-4062.
    16. Janjai, S. & Pankaew, P. & Laksanaboonsong, J. & Kitichantaropas, P., 2011. "Estimation of solar radiation over Cambodia from long-term satellite data," Renewable Energy, Elsevier, vol. 36(4), pages 1214-1220.
    17. Yichao Xu & Xinying Wang & Zhiqiang Jiang & Yi Liu & Li Zhang & Yukun Li, 2023. "An Improved Fineness Flood Risk Analysis Method Based on Digital Terrain Acquisition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3973-3998, August.
    18. Riveros-Rosas, D. & Arancibia-Bulnes, C.A. & Bonifaz, R. & Medina, M.A. & Peón, R. & Valdes, M., 2015. "Analysis of a solarimetric database for Mexico and comparison with the CSR model," Renewable Energy, Elsevier, vol. 75(C), pages 21-29.
    19. Alonso-Montesinos, J. & Batlles, F.J., 2015. "Solar radiation forecasting in the short- and medium-term under all sky conditions," Energy, Elsevier, vol. 83(C), pages 387-393.

    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:renene:v:53:y:2013:i:c:p:132-140. 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.journals.elsevier.com/renewable-energy .

    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.