Optimization and economics of landsolar power plant projects
2024
0 views
0 downloads
Advisor: Prof. Ali Köken
Abstract (EN)
Solar energy plays a leading role in the renewable energy transition, offering significant environmental and financial benefits. Effective and cost-efficient design and construction of solar power plants are crucial for maximizing these advantages. This study focuses on the structural design of solar power plants, particularly the use of lightweight steel and aluminum structures, and the financial analysis of their implementation. Using the solar energy potential of the Karacabey district in Bursa as a case study, structural analyses were performed according to AISI and Eurocode standards. These evaluations included material advantages, design parameters, load combinations, and cost analysis. The findings provide recommendations for optimizing the structural and financial aspects of solar power plants to enhance sustainability and efficiency
Author
Dr. Selin Esfendiyar
How to Cite
Selin Esfendiyar (Master Thesis). Optimization and economics of landsolar power plant projects, 2024, Konya Technical University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Konya Technical University
- Numerical and experimental in vestigation of optimization of Pelton turbine rotor design parameters in micro turbine size(2018)
- Comparison of some manufacturing costs according to various analysis parameters and other regulations of reinforced concrete structures with different floor systems(2018)
- The use of silica fume in self-compacting concretes affects the concrete compressive strength and adherence(2018)
- Load-bearing carrier system properties in the historical buildings repair and strengthening techniques for damages model analysis of Zenburi masjid(2018)
- Lateral rigidity improvement of deficient reinforced concrete structures with the use of user friendly systems(2018)
- Application of artificial intelligence methods to estimate monthly pan evaporation using meteorological data(2018)
