Investigation and Optimization of Integrated Electricity Generation from Wind, Wave, and Solar Energy Sources

被引:6
作者
Balta, Huseyin [1 ]
Yumurtaci, Zehra [1 ]
机构
[1] Yildiz Tech Univ, Fac Mech Engn, TR-34349 Besiktas, Istanbul, Turkiye
关键词
renewable energy; multi-source systems; wave energy; solar energy; wind energy; energy; exergy; power; electricity generation; optimization; response surface methodology; HYDROGEN-PRODUCTION; POWER-GENERATION; SYSTEMS; DESIGN;
D O I
10.3390/en17030603
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This study investigates the potential for renewable energy-based electricity generation using existing wave, wind, and solar energies in Turkiye. A significant part of Turkiye's energy needs is still met using fossil fuels. Considering the country's resources, renewable energy sources appear as an alternative source to meet these needs. The objective of this study is to find an effective, efficient, economical, environmentally friendly, and sustainable way to produce electricity to reach net-zero targets and transition towards low-carbon and carbon-free energy systems. To be able to make a deep investigation about the relevant issue, six provinces from different regions of Turkiye (Antalya, canakkale, Istanbul, Izmir, Kirklareli, and Mugla) are assessed in terms of wave, wind, and solar energy potential, including wave data, wind speeds, sunshine duration, and global radiation values. Wind, wave, and solar energy data of the selected regions were taken from the ERA5 database, which is the weather forecast model of the European Center for Medium-Term Weather Forecasts (ECMWF), and the Ministry of Energy and Natural Resources of the Republic of Turkiye and the General Directorate of Meteorology. Calculations were made using monthly data for the last 5 years. Considering the coastal lengths in the determined regions, the annual total electrical power produced from wave, solar, and wind energies was calculated. In these calculations, the coastal length parameter was assumed to be uniform across all cities, and the electrical power potential from these energy sources was analyzed. Within the framework of these analyses, the number of houses in the selected regions whose electricity needs can be met was calculated. As a result, the potential electrical power and the amount of affordable housing units in the selected regions were compared. As an important result of the studies, it was determined that the characteristic features of the selected regions, such as wavelength, wave height, and wind speed, were directly related to the applicable coast length. The power obtained from wave energy was higher than that from other renewable energy sources, considering the determined coast lengths. Wave energy was followed by parabolic solar collector, wind, and photovoltaic solar energy systems. According to the model, the power obtained from renewable energy systems was at the highest level in the Kirklareli/Demirkoy province compared to other locations. Kirklareli was followed by Istanbul, Antalya, Izmir, Mugla, and canakkale. It was also found that the electricity needs of 763,578 houses were met in the Kirklareli/Demirkoy region, and the electricity needs of 470,590 houses were met in the canakkale/Ayvacik region. The statistically optimized factors using the Response Surface Methodology (RSM) for wind, photovoltaic, parabolic solar collector, and wave power were reported as 995.278, 4529.743, 2264.546, and 276,495.09, respectively. The optimal factors aim to achieve a total electricity generation rate of 2.491 x 109 (kWh/year), a total number of houses of 682,590.55 (number/year), and a total cost of USD 813,940,876. In line with the results obtained, the Kirklareli/Demirkoy region becomes favorable when considering wave and wave-integrated wind and solar energies. The proposed system has the potential to meet the entire electricity demand of the Kirklareli province based on data from the Republic of Turkiye Energy Market Regulatory Authority (EMRA).
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页数:34
相关论文
共 69 条
[1]   Techno-economic analysis and optimization of solar and wind energy systems for power generation and hydrogen production in Saudi Arabia [J].
Al-Sharafi, Abdullah ;
Sahin, Ahmet Z. ;
Ayar, Tahir ;
Yilbas, Bekir S. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 69 :33-49
[2]  
[Anonymous], about us
[3]  
[Anonymous], System Advisor Model (SAM)
[4]   Evaluation and comparison of the levelized cost of tidal, wave, and offshore wind energy [J].
Astariz, S. ;
Vazquez, A. ;
Iglesias, G. .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2015, 7 (05)
[5]   Enhancing Wave Energy Competitiveness through Co-Located Wind and Wave Energy Farms. A Review on the Shadow Effect [J].
Astariz, Sharay ;
Iglesias, Gregorio .
ENERGIES, 2015, 8 (07) :7344-7366
[6]   A Review of Power Co-Generation Technologies from Hybrid Offshore Wind and Wave Energy [J].
Ayub, Muhammad Waqas ;
Hamza, Ameer ;
Aggidis, George A. A. ;
Ma, Xiandong .
ENERGIES, 2023, 16 (01)
[7]   Combined Exploitation of Offshore Wind and Wave Energy in the Italian Seas: A Spatial Planning Approach [J].
Azzellino, Arianna ;
Lanfredi, Caterina ;
Riefolo, Luigia ;
De Santis, Valentina ;
Contestabile, Pasquale ;
Vicinanza, Diego .
FRONTIERS IN ENERGY RESEARCH, 2019, 7 (APR)
[8]  
Celik Z., 2018, EJONS Int. J. Math. Eng. Nat. Sci, V3, P107
[9]  
CW Energy, About us
[10]   Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS [J].
Dezhdar, Ali ;
Assareh, Ehsanolah ;
Agarwal, Neha ;
Bedakhanian, Ali ;
Keykhah, Sajjad ;
Fard, Ghazaleh Yeganeh ;
Zadsar, Narjes ;
Aghajari, Mona ;
Lee, Moonyong .
RENEWABLE ENERGY, 2023, 208 :512-537