Meteorological aspects of wind energy: Assessing the resource and selecting the sites

Pennell, W. T.; Barchet, W.R.; Elliott, D.; Wendell, L.L.; Hiester, T.R.

doi:10.1016/0167-6105(80)90036-7

Cited by 10 publications

(3 citation statements)

References 2 publications

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“…Renewable power plant site-selection was previously studied using traditional procedures and analytical methods [12][13][14][15]. Pennell et al (1980) first introduced the effective criteria for selecting the ideal site for wind turbines and then, based on the experiences of experts, they recommended a method for the process of optimal site selection. Their results were not strong enough because they were based on probabilistic opinions [12].…”

Section: Literature Review 21 Overview Of Common Methods In Site Sele...mentioning

confidence: 99%

“…Pennell et al (1980) first introduced the effective criteria for selecting the ideal site for wind turbines and then, based on the experiences of experts, they recommended a method for the process of optimal site selection. Their results were not strong enough because they were based on probabilistic opinions [12]. Calzonetti and Eckert considered the process of location as necessary to increase efficiency in energy facilities.…”

Section: Literature Review 21 Overview Of Common Methods In Site Sele...mentioning

confidence: 99%

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A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP

et al. 2023

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Currently, worldwide attention to clean energy and sustainable energy has been expedited because of its many environmental benefits. In fact, wind and solar energies play a prime role in decarbonizing the energy market. However, finding the most suitable locations for wind/solar power plants is difficult because of the non-homogeneous distribution of these sources. This paper presents a novel method for selecting the optimal locations for wind and solar farms by mapping the space of the decision criteria to the site score. In addition, the multiple linear regression model was used, with the help of the combination of GIS and AHP methods, to model the siting of wind and solar power plants. The site scoring method used in this study is reliable and globally evaluated; therefore, the scores are accurate and effective. To reveal the ability of the proposed method, two study areas were investigated and researched. The results achieved based on the introduced method showed that, in case study 1, areas with an area of about 9, 4 and 7 km2 are suitable for the construction of wind, solar and wind/solar power plants, respectively. This paper also used fourteen existing wind/solar, wind and solar farms from five continents around the world. The results showed that the suggested model acts the same as the real data. In addition to the interest these results hold for the development of renewable energy in the study area, this novel approach may be applied elsewhere to select optimum sites for wind, solar, and combined wind and solar farms.

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Section: Literature Review 21 Overview Of Common Methods In Site Sele...mentioning

confidence: 99%

Section: Literature Review 21 Overview Of Common Methods In Site Sele...mentioning

confidence: 99%

A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP

et al. 2023

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“…The first set of methods employed in the 20th century for site selection were traditional and based on calculations and formulas derived from the site selection factors discussed above. Assessments would focus on the performance of technical and feasibility analyses for achieving the highest possible efficiency at wind farms by concentrating on the estimation of power output; electricity generating costs; cost, value, and uncertainty assessments; and capital investments for installed capacities [122][123][124]. In the past two decades, the application of geographic information systems (GISs) and remote sensing (RS) techniques have become part of the most popular methods for site selections.…”

Section: Improvements On Control Algorithms Layout Optimization and S...mentioning

confidence: 99%

Onshore Wind Farm Development: Technologies and Layouts

Haces-Fernandez

Cruz-Mendoza

2022

Energies

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Significantly growing wind energy is being contemplated as one of the main avenues to reduce carbon footprints and decrease global risks associated with climate change. However, obtaining a comprehensive perspective on wind energy considering the many diverse factors that impact its development and growth is challenging. A significant factor in the evolution of wind energy is technological advancement and most previous reviews have focused on this topic. However, wind energy is influenced by a host of other factors, such as financial viability, environmental concerns, government incentives, and the impact of wind on the ecosystem. This review aims to fill a gap, providing a comprehensive review on the diverse factors impacting wind energy development and providing readers with a holistic panoramic, furnishing a clearer perspective on its future growth. Data for wind energy was evaluated by applying pivot data analytics and geographic information systems. The factors impacting wind energy growth and development are reviewed, providing an overview of how these factors have impacted wind maturity. The future of wind energy development is assessed considering its social acceptance, financial viability, government incentives, and the minimization of the unintended potential negative impacts of this technology. The review is able to conclude that wind energy may continue growing all over the world as long as all the factors critical to its development are addressed. Wind power growth will be supported by stakeholders’ holistic considerations of all factors impacting this industry, as evaluated in this review.

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Stochastic analysis of wind stream and turbine power

Lou¹,

Corotis

1985

Solar Energy

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Meteorological aspects of wind energy: Assessing the resource and selecting the sites

Cited by 10 publications

References 2 publications

A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP

A New Decision Framework for Hybrid Solar and Wind Power Plant Site Selection Using Linear Regression Modeling Based on GIS-AHP

Onshore Wind Farm Development: Technologies and Layouts

Stochastic analysis of wind stream and turbine power

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