Analysis of wind energy resources from high rise building for micro wind turbine: A review

Kumar, Nitin; Prakash, Om

doi:10.1177/0309524x221118684

Cited by 10 publications

(7 citation statements)

References 68 publications

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“…Installation of wind turbines in areas with wind speeds of less than 5 m s −1 is not economically viable. The power coefficient C P of the wind turbines was determined from equations (11) and (12).…”

Section: Resultsmentioning

confidence: 99%

“…An in-depth review of the literature on the analysis of micro-turbine installations on high-rise buildings has revealed that these structures act as towers. The author mentioned that these micro wind turbines were installed in nine states of India for domestic use [11]. The review presented a comprehensive overview of small-scale wind turbines, noting that the installation of a large wind farm has a considerable impact on the climate, thus making micro-turbines more suitable for home use [6].…”

Section: Introductionmentioning

confidence: 99%

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Development of a roof-mounted stand-alone wind turbine system for house-hold power generation

Surve,

Deshmukh,

Kale

et al. 2023

Eng. Res. Express

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In recent years, the development of sustainable energy sources has attracted increasing interest due to worries about the environmental effects of greenhouse gas emissions. Renewable energy and technology may provide a solution to the persistent environmental issues that developing nations are currently experiencing. In this work, it has been demonstrated that the design, analysis, and implementation of the newly developed small roof-mounted stand-alone wind turbine systems for household energy production. It is specially designed for sites with low altitudes (12 m above ground) and low wind speeds (range of 1–12 m s−1). The wind turbine system involves the mechanical design of the 3-blade rotor and its installation on a micro-capacity and self-contained 325 W wind turbine. The experimental analysis reveals that the peak power coefficient (CP) is quite good, about 0.13, and the output power is 43.75 W. The comparative analysis is also done to validate that the results are consistent with micro-capacity systems that have been tested under similar conditions. This work provides insight into the development of roof-mounted stand-alone wind turbine systems, which have a lot of potential for green applications and to make up for people who don’t have access to electricity.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a roof-mounted stand-alone wind turbine system for house-hold power generation

Surve,

Deshmukh,

Kale

et al. 2023

Eng. Res. Express

View full text Add to dashboard Cite

show abstract

“…In the face of the evolving global energy structure and the escalating energy demand, wind power generation has attracted significant attention from countries worldwide, showcasing a sustained upward trajectory [1]. However, the inherent randomness and volatility of wind speed patterns pose substantial constraints on the large-scale integration of wind power generation in grid scheduling and stable operation due to natural environmental conditions [2].…”

Section: Introductionmentioning

confidence: 99%

An Ultra-Short-Term Wind Power Prediction Method Based on Quadratic Decomposition and Multi-Objective Optimization

Chen,

Zhang,

Tong

et al. 2024

EAI Endorsed Trans Energy Web

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To augment the accuracy, stability, and qualification rate of wind power prediction, thereby fostering the secure and economical operation of wind farms, a method predicated on quadratic decomposition and multi-objective optimization for ultra-short-term wind power prediction is proposed. Initially, the original wind power signal is decomposed using a quadratic decomposition method constituted by the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), Fuzzy Entropy (FE), and Symplectic Geometry Mode Decomposition (SGMD), thereby mitigating the randomness and volatility of the original signal. Subsequently, the decomposed signal components are introduced into the Deep Bidirectional Long Short-Term Memory (DBiLSTM) neural network for time series modeling, and the Sand Cat Swarm Optimization Algorithm (SCSO) is employed to optimize the network hyperparameters, thereby enhancing the network’s predictive performance. Ultimately, a multi-objective optimization loss that accommodates accuracy, stability, and grid compliance is proposed to guide network training. Experimental results reveal that the employed quadratic decomposition method and the proposed multi-objective optimization loss can effectively bolster the model’s predictive performance. Compared to other classical methods, the proposed method achieves optimal results across different seasons, thereby demonstrating robust practicality.

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“…A micro wind turbine (MWT) is a type of small-scale wind turbine used to generate electricity for residential or small commercial use (Wilberforce et al, 2023). MWTs have gained popularity in recent years as a way to reduce energy costs and increase energy independence (Kumar & Prakash, 2023). Advances in blade design, control systems, and materials technology have improved the energy conversion efficiency of MWTs and reduced their cost (Ayhan & Sağlam, 2012).…”

Section: Introductionmentioning

confidence: 99%

An investigation of a 3D printed micro-wind turbine for residential power production

Shalby

Salah

Matarneh

et al. 2023

Int. J. Renew. Energy Dev.

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The wind energy sector is rapidly growing and has become one of the most important sources of renewable power production. New technologies are being developed to increase energy production. This study focuses on developing and evaluating a 3-D printed micro-wind turbine system for residential electricity production. The effectiveness of using Poly Lactic Acid material for model production was assessed using the SolidWorks environment. Then, three–dimensional CFD model was developed to simulate a micro-wind turbine. The CFD model was validated in good agreement against scale physical model experiments performed in a wind tunnel. The results demonstrated that the 5-blade micro-wind turbine design was the most effective under the tested conditions, with a low cut-in speed and the ability to operate under torque up to 70 N.m. Finally, the currently available manufacturing processes for micro-wind turbines have been evaluated. Future work should evaluate the performance of the MWT system under realistic conditions in a site test to determine energy production and total efficiency

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Analysis of wind energy resources from high rise building for micro wind turbine: A review

Cited by 10 publications

References 68 publications

Development of a roof-mounted stand-alone wind turbine system for house-hold power generation

Development of a roof-mounted stand-alone wind turbine system for house-hold power generation

An Ultra-Short-Term Wind Power Prediction Method Based on Quadratic Decomposition and Multi-Objective Optimization

An investigation of a 3D printed micro-wind turbine for residential power production

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