Abstract
Our World has been polluted, mostly after the industrialization, because of not taking into account the environment and other species. Now, our World gives vital signs. Some actions should be taken to stop the activities that affect the climate catastrophically. One of the important activities in this respect is to model, build and operate a 100% renewable electricity grid on the World (Globalgrid). This target isn’t so easy to be achieved without a very well organized and planned system. One of the major renewable energy source in the Globalgrid will be the solar energy. The very large photovoltaic power plants will most probably play a critical role. This paper presents an experimental fuzzy weighted average aggregated location selection model for the very large photovoltaic power plants in the Globalgrid Concept in the very early engineering design process stages to help the modeling, designing, constructing and operating efforts of the Globalgrid.
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Acknowledgments
The author would like to thank to Dr. Bernadetta Kwintiana Ane (conference), and Dr. Pavel HoleÄŤek (FuzzME). This study shall never be finalized and submitted to the conference without their consideration, guidance, and help. Please send your comments, feedbacks and criticisms to my e-mail (burakomersaracoglu@hotmail.com) in any format at any time. Your feedback will be very important and valuable for me during the development process of the models and systems for the real life applications.
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Saracoglu, B.O. (2019). Experimental FuzzyWA Aggregated Location Selection Model for Very Large Photovoltaic Power Plants in Global Grid in the Very Early Engineering Design Process Stage. In: Ane, B., Cakravastia, A., Diawati, L. (eds) Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18). WSC 2014. Advances in Intelligent Systems and Computing, vol 864. Springer, Cham. https://doi.org/10.1007/978-3-030-00612-9_3
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