Wind Resource and Wind Power Generation Assessment for Education in Engineering

Artigao, Estefanía; Vigueras-Rodríguez, Antonio; Honrubia-Escribano, A.; Martín-Martínez, Sergio; Gómez‐Lázaro, Emilio

doi:10.3390/su13052444

Cited by 11 publications

(5 citation statements)

References 27 publications

(2 reference statements)

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“…The experience acquired to date has allowed contractor companies to learn for the construction and assembly of wind farms. In addition, the training of specialized personnel in the operation of wind farms has been carried out, as well as experience has been acquired in the processes of processing environmental licenses for operating such plants and building trust relations with neighboring communities [42].…”

Section: Advantages Disadvantagesmentioning

confidence: 99%

Renewable Energy from Wind Farm Power Plants in Peru: Recent Advances, Challenges, and Future Perspectives

Cacciuttolo,

Cano,

Guardia

et al. 2024

Sustainability

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Peru is one of the most diverse countries in the world, and its climatic characteristics, biodiversity, cultural heritage, and location on the planet give it a vast potential for wind energy, both on its coast and within the 200 miles which comprise the Peruvian coastline on the Pacific Ocean. Likewise, the northern and central areas of the country represent the regions with the greatest potential for wind energy use. In this context, wind energy is a viable alternative to mitigate the effects of climate change in local territories and, thus, meet the Sustainable Development Goals (SDGs) outlined in the 2030 United Nations (UN) Agenda. This article presents the potential for generating wind-type electrical energy both on-shore with 20.5 GW and off-shore with 347 GW. In addition, the main advantages, benefits, and restrictions in the implementation of this type of energy plants in Peru are presented, considering the following: (i) the mitigation of climate change considering the insertion of renewable energies in the energy matrix; (ii) the potential of the available wind resource; (iii) the characterization of seven existing wind power plants, considering a total installed capacity of 668 MW; and (iv) the implementation of future wind power plants considering a portfolio of 31 projects for 7429 MW of total installed capacity projected. Finally, recent advances, challenges linked to territorial implementation, and future perspectives in developing the renewable energy sector from wind resources to address climate change are discussed.

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Section: Advantages Disadvantagesmentioning

confidence: 99%

Renewable Energy from Wind Farm Power Plants in Peru: Recent Advances, Challenges, and Future Perspectives

Cacciuttolo,

Cano,

Guardia

et al. 2024

Sustainability

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“…e DF of the NG-IW model is obtained by using Eq. ( 7) in (5). Let X has the NG-IW model, if its DF is given by…”

Section: A New Generalized-inverse Weibull Distributionmentioning

confidence: 99%

“…Generally, the statistical distributions are implemented to analyze real-life situations that are uncertain and endangered. For example, the probability distributions are frequently applied to analyze data in (i) engineering and related sectors [1], (ii) healthcare engineering [2], (iii) the economic and financial sector [3], (iv) hydrology [4], (v) education [5], (vi) metrology [6], (vii) biological sector [7], and (viii) sports [8].…”

Section: Introductionmentioning

confidence: 99%

New Statistical Approaches for Modeling the COVID‐19 Data Set: A Case Study in the Medical Sector

et al. 2022

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Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory, numerous methods have been studied and suggested/introduced to increase the flexibility level of the traditional probability distributions. In this paper, we implement different distribution methods to obtain five new different versions of the inverse Weibull model. The new modifications of the inverse Weibull model are called the logarithm transformed-inverse Weibull, a flexible reduced logarithmic-inverse Weibull, the weighted TX-inverse Weibull, a new generalized-inverse Weibull, and the alpha power transformed extended-inverse Weibull distributions. To illustrate the flexibility and applicability of the new modifications of the inverse Weibull model, a biomedical data set is analyzed. The data set consists of 108 observations and represents the mortality rate of the COVID-19-infected patients. The practical application shows that the new generalized-inverse Weibull is the best modification of the inverse Weibull distribution.

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“…In general, wind energy programs are better developed in Europe, where consortiums of universities offer graduate degrees and perform collaborative research. More specifically, coursework has been motivated by local changes in energy portfolios, for example in Spain, which saw the most growth in installed wind farms in 2019 [10].…”

Section: Wind Energy Growth In Our Regionmentioning

confidence: 99%

Bridging Education and Engineering Students through a Wind Energy-Focused Community Engagement Project

Benitz

Yang

2021

Sustainability

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Regional growth in offshore wind energy development, changes to the state’s K-12 science standards, and a desire to deepen undergraduate student learning coalesced to inspire an interdisciplinary community engagement project bridging university courses in engineering and education. The project consists of three main activities: a professional development event for local fourth grade teachers, five classroom lessons designed and taught by undergraduate engineering and education majors, and a final celebration event, all focused around the topics of wind energy and engineering design. This spring, the project was carried out for the third consecutive year, though each year’s implementation has been unique due to the timing of the onset of COVID-19. Analysis of responses from the Teaching Engineering Self-Efficacy Scale and an end-of-semester course survey demonstrate growth in student learning and transferrable skills from participating in the semester-long project. Additionally, exploration of students’ narrative work provides a richness to further understanding their growth and challenges they confronted. This interdisciplinary community engagement project will continue into future years, with improvements informed by the findings of this work, most notably with the hope of returning to a fully in-person delivery of lessons to fourth-graders.

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Wind Resource and Wind Power Generation Assessment for Education in Engineering

Cited by 11 publications

References 27 publications

Renewable Energy from Wind Farm Power Plants in Peru: Recent Advances, Challenges, and Future Perspectives

Renewable Energy from Wind Farm Power Plants in Peru: Recent Advances, Challenges, and Future Perspectives

New Statistical Approaches for Modeling the COVID‐19 Data Set: A Case Study in the Medical Sector

Bridging Education and Engineering Students through a Wind Energy-Focused Community Engagement Project

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