Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis

Arteaga-López, Ernesto; Angeles‐Camacho, César; Bañuelos-Ruedas, Francisco

doi:10.1016/j.energy.2018.10.191

Cited by 61 publications

(23 citation statements)

References 19 publications

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“…Second, QMC provides a way to conduct a GSA regardless of how computationally demanding the model of interest is. In application to WRA, one can model wind with a distribution (Weibull 38,39 or other 40,41 ) or using more timeconsuming computational fluid dynamics (CFD) [42][43][44] or WRF 45,46 models. The third benefit is flexibility.…”

Section: Introductionmentioning

confidence: 99%

Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE

Tsvetkova¹,

Ouarda²

2019

Journal of Renewable and Sustainable Energy

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The present paper bridges mathematical modeling and wind resource assessment (WRA). Sensitivity analysis (SA) links portions of output variance to the variance in each input variable. Global SA (GSA) explores inputs globally. One-at-a-time SA is dominating in WRA, while GSA is often overlooked. Compared to traditional methods, GSA offers potential improvement by the means of the quasi-Monte Carlo (QMC) technique with its elaborate sampling designs enabling faster convergence. The main novelty of this work is twofold: the use of QMC in WRA and Sobol method as a variance-based GSA method in WRA. This paper is among a few using GSA in WRA. Two case studies were conducted. One shows that QMC with sampling based on Sobol sampling outperforms Latin hypercube sampling and pseudorandom sampling. It also shows that in terms of accuracy of results, the brute-force calculation of Sobol sensitivity indices (SI) should be used whenever the model allows it; otherwise, SI can be estimated. Another case study demonstrates a valid GSA study for WRA at Masdar City, United Arab Emirates. The results suggest that the influence of the variance in Weibull parameters on annual energy production (AEP) might be overestimated, while found to be responsible for 2% of AEP uncertainty, and the influence of the variance in air density might be overlooked, while found to account for 94%. WRA studies would benefit greatly from using the QMC and Sobol method. The Sobol method is a universal GSA method, providing valid results for nonlinear models typical for WRA, and QMC provides global scalability, model independence, and flexibility in uncertainty quantification.

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Section: Introductionmentioning

confidence: 99%

Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE

Tsvetkova¹,

Ouarda²

2019

Journal of Renewable and Sustainable Energy

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“…Some of such locations where it would be possible are: (a) on rooftops [31], (b) in between two buildings [32], (c) inside through building opening [33], (d) on building's skin [34]. The increased wind speeds in such locations are found to be 5.85 m/s [35], 5.5 m/s [36], 5.25 m/s [37], which are close to the wind speed investigated in the present work. existing results [27].…”

Section: Resultsmentioning

confidence: 99%

A 2D numerical simulation of blade twist effect on the aerodynamic performance of an asymmetric blade vertical axis wind turbine in low wind speed

Mazarbhuiya¹,

Biswas²,

Sharma³

2018

EAI Endorsed Transactions on Energy Web

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For urban areas, small-scale vertical axis wind turbine (VAWT) is a promising energy harvester due to its compact structure. However, VAWT's performance is inferior in low wind speed of urban environment. Selection of proper design and operational parameters can give a desirable power output under such condition. In this paper, effect of trailing edge blade twist on aerodynamic performance of an asymmetric blade H-Darrieus VAWT at a wind speed (6.0 m/s) is investigated using 2D numerical simulation. Important aerodynamic parameters considering blade twists have been analysed. Although blade twist has not increased power coefficient magnificently, the same is improved with blade twist of 1º. However, further increase of the latter reduces the turbine performance. A maximum power coefficient of 0.171 is obtained at tip speed ratio 2.4 for 1º blade twist configuration. Hence, the present study shows that blade twist should be very low for low wind speed application of H-Darrieus VAWT.

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“…La dinámica computacional de fluidos (CFD, por sus siglas en inglés) es de gran ayuda en estudios que buscan mejorar el rendimiento en dispositivos de transferencia de calor. Es por esta razón por la que es utilizada con regularidad para desarrollar diseños mejorados de varios mecanismos que requieren transferencia de energía como calentadores de aire solares y para evaluar el potencial de generación de energía [5].…”

Section: Introductionunclassified

Análisis numérico de un sistema de calentamiento de agua utilizando un colector solar de placa plana

et al. 2020

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El objetivo de la presente investigación fue realizar un análisis numérico mediante CFD de un colector solar de placa plana; además, se realizó una comparación con resultados experimentales. El fluido de trabajo alcanzó una temperatura máxima de salida de 20.16 °C a las 12:00, el valor de la radiación solar se determinó para las coordenadas geográficas latitud –0.2252 y longitud –77.84; de forma similar, en este horario fue posible obtener una temperatura de la superficie del colector de 27.12 °C, como valor pico. Se determinó el menor rendimiento del dispositivo de transferencia de calor a las 10:00 con un valor de temperatura de salida del agua y temperatura máxima en la superficie del colector de 18.65 y 20.48 °C, respectivamente. Los resultados experimentales mostraron una temperatura máxima de 20.93 °C y una temperatura mínima de19.4 °C, derivando en un error de 4.01 % entre la simulación computacional y los datos experimentales.

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Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis

Cited by 61 publications

References 19 publications

Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE

Quasi-Monte Carlo technique in global sensitivity analysis of wind resource assessment with a study on UAE

A 2D numerical simulation of blade twist effect on the aerodynamic performance of an asymmetric blade vertical axis wind turbine in low wind speed

Análisis numérico de un sistema de calentamiento de agua utilizando un colector solar de placa plana

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