Abstract
Considering the wide spread locations of wind farms in Iran, it is important to develop a suitable decision support system (DSS) to fulfill proper management of wind farms. Extensive literature survey indicates that there are no integrated forms of DSS to manage a set of wind farms. The existing wind farms are performing independently, and there is no practical method for exchanging the online data. DSS can contribute to optimal operation of wind farms, operation and maintenance scheduling, pricing policy, etc. In this study, a geographic information system and RETSCREEN software were linked to the designed DSS to achieve a more suitable result. Also, a huge number of data are constantly collected and fitted into the DSS to predict future performance of the wind farms, support the decision for pricing policy, and develop next generation of wind farms in the studied area. The developed software, called Monitoring Wind Turbines Performance, was applied to a wind farm located in Ganjeh at the northern part of Iran to ensure the capability of the DSS model. The results show that application of this model can lead to both minimal costs imposed to the wind farm owners and considerable margin of economic gain. Setting up such a network and smart technologies can be considered as a useful tool for energy resiliency management in mega cities at the national level.
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Notes
Internet Map Server.
Global Positioning System.
Renewable Energy and Energy Efficiency Organization of Iran.
Hyper Text Markup Language.
Degree Minute Second.
International Electrotechnical Commission.
Iran Power Plant Projects Management Company.
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Acknowledgements
The authors would like to extend their sincere gratitude to Dr. Satkin, the Director of Energy Potential and Resource Assessment Office at SATBA organization for his assistance and Mr. Ali Pouryousefi for providing some data.
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Aghajani, D., Abbaspour, M., Radfar, R. et al. Using Web-GIS technology as a smart tool for resiliency management to monitor wind farms performances (Ganjeh site, Iran). Int. J. Environ. Sci. Technol. 16, 5011–5022 (2019). https://doi.org/10.1007/s13762-018-2091-2
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DOI: https://doi.org/10.1007/s13762-018-2091-2