Wind energy examples
The use and exploitation of wind energy are very ancient by man. The first evidence of the use of wind dates back to 3000 BC where they used sailing boats on the Nile to move and in the seventeenth century BC during the reign of Hammurabi in Babylon used an irrigation system based on windmills for pumping water. So, let’s go back in time and learn a little more about the history of wind energy.
These equipment or mills became popular especially in Holland where from the middle of the 14th century they were used to drain swamps and lagoons as well as for grain milling, they were multiblade mills, quite slow.
The predecessor models of the current ones appeared in the 20th century and the first ones were manufactured by Jacobs for the generation of electricity in rural areas, with 3 KW equipment during the 30’s in the USA. In 1940 the first large and faster windmills appeared with a generation capacity of 1 MW.
How wind energy works
Care for the environment: its operation will prevent the emission of 287,981 tons of CO2 into the atmosphere per year. In addition, a wastewater treatment plant was implemented that reused about 350 m3 of water to maintain the roads and mitigate dust. The plant generated no environmental impact because it was powered by two mini wind turbines, avoiding the emission of 1.64 tons of CO2.
Guided by the Sustainable Development Goals that we committed to meet before the United Nations, we decided to boost the local economy to empower the community: we strengthened their capacities, generated a circular economy and promoted gender equity.
Wayra I is located 29 km from the city of Nasca, 51 km from San Juan de Marcona, and 480 km from the city of Lima, a few meters from the Pan-American Highway South, in the district of Marcona, province of Nasca, Ica region.
Social benefits of wind energy
Wind energy is an abundant, renewable and clean resource that helps reduce greenhouse gas emissions by replacing fossil fuel-based energy sources. The environmental impact of this type of energy is also generally less problematic than that of other energy sources.
Wind energy is fairly stable and predictable on an annual scale, although there are significant variations on shorter time scales. As the proportion of wind energy produced in a given region or country increases, it becomes imperative to establish a series of improvements in the local power grid. Various energy control techniques, such as increased energy storage capacity, a wide geographical distribution of wind turbines, the availability of backup power sources, the possibility of exporting or importing energy to neighboring regions or reducing demand when wind production is lower, can help mitigate these problems to a large extent.  In addition, wind production forecasts are extremely important to allow grid managers to be prepared for and anticipate foreseeable variations in wind production that may occur in the short term. The following are some of the most important aspects of wind power production forecasting.
November 9 is celebrated as International Inventors’ Day in recognition of all the people who in one way or another have contributed to improving our lives. This day was institutionalized to coincide with the birth of Hedy Lamarr (1914-2000), the inventor of the spread spectrum, to whom we owe the technology present in everyday devices such as GPS, Wi-Fi or Bluetooth.
Lamarr revolutionized progress in the field of telecommunications, just as Charles F. Brush, Poul la Cour, Albert Betz or Palmer Cosslet Putnam contributed to the wind energy technology present today. Currently, the concern that the use of clean energy contributes to reducing pollution levels or the effects of climate change, and technological advances in wind turbines, have contributed to position wind power as one of the best renewable energies.
On the other hand, in onshore technology, Siemens Gamesa has launched 5.8 MW turbines with two rotor variants of 155 and 170 meters in diameter, which have managed to increase annual energy production by 20% and 32%, respectively, in relation to the previous model.