GIS-Based Wind and Solar Power Assessment in Central Mexico

被引:1
|
作者
Hernandez-Escobedo, Quetzalcoatl [1 ]
Franco, Jesus Alejandro [1 ]
Perea-Moreno, Alberto-Jesus [2 ]
机构
[1] Univ Nacl Autonoma Mexico, Escuela Nacl Estudios Super Unidad Juriquilla, Queretaro 76230, Mexico
[2] Univ Cordoba, Dept Fis Aplicada Radiol & Med Fis, Campus Rabanales, Cordoba 14071, Spain
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 24期
关键词
AWS; GIS; kriging; MERRA-2; Mexico; solar; wind; wind power density; DECISION-SUPPORT-SYSTEM; SITE SELECTION; PHOTOVOLTAIC PV; FARMS LOCATIONS; AHP; PROVINCE; MCDM; METHODOLOGY; CSP;
D O I
10.3390/app122412800
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In Mexico, the economic and industrial development is in the center and north; this represents more than 50% of the country's total consumption. Data on population and energy consumption will be obtained from the following sources: the National Institute of Geography and Statistics (INEGI), and the Energy Information System. Regarding meteorological data, two databases are used: the Automatic Weather Stations (AWS) (for solar irradiance data) and the MERRA-2 reanalysis data (for wind data). These data will be analyzed for use in a geographic information system (GIS) using kriging interpolation to create maps of solar and wind energy. The area studied includes the following states: Mexico City, Puebla, State of Mexico, Hidalgo, Morelos, Zacatecas, Queretaro, San Luis Potosi, Guanajuato, Aguascalientes and Tlaxcala. The results showed that the areas with the highest solar potential are Hidalgo, Estado de Mexico, Morelos, northern Puebla, southern Queretaro, northwestern Guanajuato, and northern Zacatecas, with 5.89 kWh/m(2)/day, and the months with the highest solar potential are March, April, May, and June. Regarding wind potential, the maximum wind power density is in Puebla, with 517 W/m(2), and the windy season in central Mexico spans June, July, August, September, October, and November.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] A GIS-based approach for tornado risk assessment in Mexico
    Leon-Cruz, Jose Francisco
    Castillo-Aja, Rocio
    [J]. NATURAL HAZARDS, 2022, 114 (02) : 1563 - 1583
  • [2] A GIS-based approach for tornado risk assessment in Mexico
    José Francisco León-Cruz
    Rocío Castillo-Aja
    [J]. Natural Hazards, 2022, 114 : 1563 - 1583
  • [3] GIS-based approach including social considerations for identifying locations for solar and wind power plants
    Bernal-del Río, Santiago
    Luján, Carolina
    Ferrer, Sofía
    Mereu, Riccardo
    Osorio-Gómez, Gilberto
    [J]. Energy for Sustainable Development, 2025, 84
  • [4] GIS-based approach for the evaluation of offshore wind power potential for Gujarat
    Patel, Dhrumin
    Nagababu, Garlapati
    Radadia, Nishil
    Parsana, Sohil
    Sheth, Mohak
    Sheth, Nisarg
    [J]. 2018 7TH INTERNATIONAL CONFERENCE ON CLEAN AND GREEN ENERGY-ICCGE 2018, 2018, 154
  • [5] Wind farms: GIS-based visual impact assessment and visualization tools
    Chias, Pilar
    Abad, Tomas
    [J]. CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2013, 40 (03) : 229 - 237
  • [6] GIS-based solar and wind resource assessment and least-cost 100 % renewable electricity modelling for Bolivia
    Cheng, Cheng
    Gutierrez, Natalia Pereira
    Blakers, Andrew
    Stocks, Matthew
    [J]. ENERGY FOR SUSTAINABLE DEVELOPMENT, 2022, 69 : 134 - 149
  • [7] GIS-based suitability analysis for siting solar power plants in Kuwait
    Hassaan, Mahmoud A.
    Hassan, Ahmed
    Al-Dashti, Hassan
    [J]. EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2021, 24 (03): : 453 - 461
  • [8] GIS-Based Site Suitability Analysis for Solar Power Systems in Mongolia
    Munkhbat, Uranchimeg
    Choi, Yosoon
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (09):
  • [9] GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa
    Yushchenko, Alisa
    de Bono, Andrea
    Chatenoux, Bruno
    Patel, Martin Kumar
    Ray, Nicolas
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 : 2088 - 2103
  • [10] A GIS-based FAHP and FEDAS analysis framework for suitable site selection of a hybrid offshore wind and solar power plant
    Karipoglu, Fatih
    Ozturk, Samet
    Efe, Burak
    [J]. ENERGY FOR SUSTAINABLE DEVELOPMENT, 2023, 77