Wind Farm Feasibility Analysis with Virtual Farms

2022-8
Narin, Eren
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
81
views
82
downloads
The negative impacts of global warming are felt increasingly every day, and how humanity manages energy is one of the most potent causes of global warming. In the era of increasing utilization and importance of renewable energy resources, faster and more accurate decision-making becomes crucial against the chaotic nature of weather. At the top of the decision list, finding feasible and profitable locations to install renewable energy farms presents another challenge. However, typical renewable energy farm feasibility analysis approaches include time-consuming and costly processes. Due to the nature of wind, wind farm feasibility analysis is the most challenging problem among other renewable energy resources, and the lack of data makes this process harder. To overcome this and facilitate the wind farm feasibility analysis process, we have proposed a Generative Adversarial Network (GAN) based novel approach. We have used a limited amount of real historical data and augmented this data for new locations by using geospatial and time-series information. After that, long-term productions with a neural network-based prediction model are predicted by using this synthetic data. With this approach, we not only provide a faster solution for feasibility analysis but also propose a novel geospatial time-series data generation model. Results show that synthetic data that preserves geospatial and time-series characteristics of the original data can be used for long-term feasibility analysis for a selected location and a specified time interval.
renewable energy, wind farm, feasibility analysis, GAN, production prediction, yenilenebilir enerji, rüzgar santrali, fizibilite analizi, üretim tahmini
https://hdl.handle.net/11511/99183
Graduate School of Informatics, Thesis

Suggestions

Greenhouse effect reduction by recovering energy from waste landfills in Pakistan
Zuberi, M. Jibran S.; Ali, Shazia F. (2015-04-01)
Landfills all around the world are one of the major sources that contribute towards global warming and climate change. Although landfilling should be prioritized last in the waste management hierarchy due to highest greenhouse gas emissions as compared to other waste management systems it is still very common around the world. In this study, methane emissions are estimated by applying First Order Decay model to landfills in Pakistan over the latest data available by Pakistan Environmental Protection Agency....
Geochemical modeling of CO2-water-rock interaction in indonesian geothermal fields for a possible future carbon capture and storage project
Utomo, Gagas Pambudi; Yılmaz, Koray K.; Department of Geological Engineering (2019)
The rise of CO2 concentration in Earth’s atmosphere from anthropogenic emissions is the main cause of global warming and climate change. Carbon Capture and Storage (CCS) is considered as an effective method to reduce such emission. CCS can be performed in various sites including geothermal reservoirs. This study is concerned with geochemical modeling of CO2-water-rock interaction for a possible future CCS project in Indonesian geothermal fields, namely Ungaran, Baturaden, Dieng and Awibengkok. The modeling ...
Evaluating maritime intelligent transportation systems: The case of using electric ferries and renewable energy in Türkiye
Pense, Caner; Akınoğlu, Bülent Gültekin; Atik, Oğuz; Department of Earth System Science (2022-10-26)
Climate Change and Global Warming are among the most critical global problems today. Their effects can be seen all over the world. The maritime sector contributes to global Climate Change and Global Warming with greenhouse gas emissions from coastal structures and ships. At the local level, it also negatively affects all life with environmental pollution, especially air and sea. Today, drive technologies are developing at a dizzying speed. In land transportation, electric vehicles are frequently seen. Elect...
Steam reforming of ethanol for hydrogen production using Cu-MCM41 and Ni-MCM41 type mesoporous catalytic materials
Özdoğan, Ekin; Doğu, Timur; Department of Chemical Engineering (2007)
The world’s being alerted to the global warming danger and the depletion of fossil fuel resources, has increased the importance of the clean and renewable hydrogen energy. Bioethanol has high potential to be used as a resource of hydrogen since it is a non-petroleum feedstock and it is able to produce hydrogen rich mixture by steam reforming reactions. Discovery of mesoporous MCM-41 type high surface area silicate-structured materials with narrow pore size distributions (20-100 Å) and high surface areas (up...
CO2 emissions vs. CO2 responsibility: An input-output approach for the Turkish economy
Tunç, Gül İpek; Akbostancı Özkazanç, Elif (Elsevier BV, 2007-02-01)
Recently, global warming (greenhouse effect) and its effects have become one of the hottest topics in the world agenda. There have been several international attempts to reduce the negative effects of global warming. The Kyoto Protocol can be cited as the most important agreement which tries to limit the countries' emissions within a time horizon. For this reason, it becomes important to calculate the greenhouse gas emissions of countries. The aim of this study is to estimate the amount Of CO2-the most impo...
Citation Formats
E. Narin, “Wind Farm Feasibility Analysis with Virtual Farms,” M.S. - Master of Science, Middle East Technical University, 2022.
METU IIS - Integrated Information Service open@metu.edu.tr