Energy Efficiency of Small Wind Turbines in an Urbanized Area—Case Studies

Zagubień, A.; Wolniewicz, Katarzyna

doi:10.3390/en15145287

Cited by 11 publications

(5 citation statements)

References 28 publications

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“…The location of the turbine should be selected individually according to local conditions and preceded by an assessment of the wind conditions in the area. When planning the location of the turbine, it is necessary to avoid air turbulence zones, and the turbine rotors and blades should be placed in the laminar air flow zone [47,62,63].…”

Section: Discussionmentioning

confidence: 99%

Stochastic operation model for readiness assessment of small wind turbines based on Markov theory

Zalewska‐Lesiak,

Małachowski,

Szkutnik‐Rogoż

2023

IET Renewable Power Gen

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Wind energy is now one of the most important alternative sources of renewable energy. The development of wind power generation is a prerequisite to meet environmental and sustainable development requirements while achieving energy security goals. The condition for the effectiveness of the proper operation of a wind power plant is its ability to perform the intended functions, which can be expressed by the coefficient of technical readiness. This article presents an original analysis of the readiness of small wind turbines. As part of the research, an original stochastic operation model was developed based on the application of the Markov process theory. Based on the collected data, a 3‐state phase space of the studied process was identified. Various analyses were carried out to calculate the operating coefficients of wind power plants. The ergodic (boundary) probabilities were calculated using three methods. The conditional probabilities were then determined based on the initial distribution. The resulting readiness factors, not exceeding 30%, indicate the low operational efficiency of the small wind turbines in question. Furthermore, an analysis of the sensitivity of the performance factors was carried out for the analysed objects.

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Section: Discussionmentioning

confidence: 99%

Stochastic operation model for readiness assessment of small wind turbines based on Markov theory

Zalewska‐Lesiak,

Małachowski,

Szkutnik‐Rogoż

2023

IET Renewable Power Gen

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“…The electricity consumption in the Al-Qassim (Figure 3) region is commensurate with its population, which reached 10 TWh in 2021. The region is suitable for an appropriate scale of wind generation as there are no significant deformations of wind speed and direction in this vastly non-mountainous landscape [23], which is sure to reduce higher temperature rises and increased greenhouse gases due to the ongoing conventional electricity generation relying mostly on oil and gas. It has a good renewable source and hosts the second largest solar renewable energy project in Al-Rass, with a total capacity of 700 MW, as listed in Table 1.…”

Section: -2-qassim Region Energy Scenariomentioning

confidence: 99%

Wind Energy Assessment Using Weibull Distribution with Different Numerical Estimation Methods: A Case Study

Alanazi,

Aloraini,

Islam

et al. 2023

Emerg Sci J

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The demand for electrical energy is increasing every day, which is one of the critical challenges facing the world today. Hence, the necessity of turning to clean renewable energy sources that are not harmful to the environment as an alternative to the traditional generation based on fossil fuels has become more important than ever before. Wind power is one of the renewable sources that provides a clean solution to generate electricity. In this context, the Kingdom of Saudi Arabia announces renewable energy projects to generate 9 GW from wind in 2032. Hence, the aim of this paper is to investigate the most suitable method of Weibull parameter estimation in order to predict wind characteristics and employ it for wind energy assessment in the Qassim region located in the center of the country. In this study, wind data is collected from NASA's forecasts of global energy resources for 2010–2015 based on their availability at altitudes of 10m and 50m and analyzed by using six different methods for Weibull parameter estimation: the graphical method (GM), standard deviation method (SDM), energy pattern factor method (EPF), moment method (MM), alternative maximum likelihood method (AMLM), and novel energy pattern factor method (NEPF). The efficiency of each method is tested by calculating the root mean square error (RMSE) and the relative wind power density error (RPDE). The comparison shows that the most appropriate method for estimating wind power density in the country is the Moment Method (MM), with the lowest RPDE ratio equal to 0.2018%. It has been found that the wind power density in the Qassim region falls into the class 1 category, as it is less than 100 W/m2 at a height of 10m and less than 200 W/m2at an altitude of 50m. The results show the region is only suitable for small off-grid projects. Doi: 10.28991/ESJ-2023-07-06-024 Full Text: PDF

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“…The wind flow pattern through SWTs on the roofs of buildings will depend on the shape of their roofs (rectangular, prismatic or conical, etc.) and their heights [23]. In this direction, the fundamental positioning of SWTs on the buildings, considering their morphology and the surrounding area, becomes relevant [22,24].…”

Section: Introductionmentioning

confidence: 99%

“…According to the authors, more than 68,000 kWh/y can be produced, with a possible payback period of less than six years. Zagubie ń and Wolniewicz [23] presented a study of the energy efficiency of SWTs in four Polish cities. The authors evaluated the output of two vertical-axis wind turbines through the classification of five analysis zones for wind energy potential from 2 m/s to >6 m/s.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making

Vallejo Díaz,

Herrera Moya,

Garabitos Lara

et al. 2024

Sustainability

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Urban wind energy has emerged as an attractive source of distributed generation in cities to achieve sustainable development goals. The advancement in technologies for the use of urban wind energy has offered an alternative for the decarbonization of cities and the energy transition. The objectives of this work are (1) to identify the potential of wind energy through numerical weather prediction (NWP) data tools and (2) to identify the roles and responsibilities of the stakeholders involved in the decision-making process. A methodology was developed in two phases and applied to a case study in the Dominican Republic. The first phase consisted of estimating the wind energy potential for the 32 provinces at a height of 10 m using open access NWP tools provided by NASA. In the second phase, 28 stakeholders were identified through snowball sampling. The Responsible, Accountable, Consulted, and Informed (RACI) matrix tool was applied to identify the roles of the 28 institutions addressed at the country level as relevant in the decision-making process for the energy sector. The annual average wind speed and energy potential for each province were determined. It was found that 24 provinces have poor potentials, below <4.5 m/s. In the northwest and east is where there is the greatest potential, between 4.83 and 6.63 m/s. The population density was established, and it was observed that the provinces with greater potential are less densely populated. Through 59 interviews, 28 institutions were identified and evaluated due to their relevance in decision making for the implementation of energy projects. According to the RACI matrix, the Ministry of Energy and Mines has been categorized as “A”, electricity distribution companies as “R”, energy associations and universities as “C”, and educational and justice institutions as “I”.

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Energy Efficiency of Small Wind Turbines in an Urbanized Area—Case Studies

Cited by 11 publications

References 28 publications

Stochastic operation model for readiness assessment of small wind turbines based on Markov theory

Stochastic operation model for readiness assessment of small wind turbines based on Markov theory

Wind Energy Assessment Using Weibull Distribution with Different Numerical Estimation Methods: A Case Study

Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making

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