Estimation of wind energy of a building with canopy roof

Wang, B.; Cot, L. D.; Adolphe, Luc; Geoffroy, Sandrine

doi:10.1016/j.scs.2017.08.026

Cited by 47 publications

(19 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Novas fontes de geração de energia elétrica que propicie aumento da capacidade energética para abastecimento das cidades estão sendo amplamente estudadas, tais como: sistemas solares e turbinas eólicas (BELUSSI et al, 2019;KRISTIANSEN;MA;WANG, 2019;SEYAM, 2019;WANG et al, 2017). Além disso a minimização de consumo de energia elétrica em edificações através do uso, por exemplo, de paredes verdes, materiais para isolamento térmico, estão sendo estudadas no intuito de melhorar a capacidade térmica, possibilitando a diminuição do consumo de energia elétrica para resfriar ou aquecer ambientes (BELUSSI et al, 2019;MARQUES et al, 2019;SEYAM, 2019).…”

Section: Sustentabilidade Nas Cidades -Energia Elétricaunclassified

“…A utilização de sistemas de produção de energia a partir de placas fotovoltaicas (KHALID et al, 2016;OURIA, 2019;SADATI;EDWARDS, 2019) e sistemas de turbinas eólicas (KHALID et al, 2016;KRISTIANSEN;MA;WANG, 2019;SHABGARD;SONG;ZHU, 2018;WANG et al, 2017) podem diversificar a matriz energética e reduzir a dependência de energia de fonte hídrica e ou térmica, mitigando os custos com energia elétrica (BELUSSI et al, 2019;SEYAM, 2019). No entanto a utilização de energia solar e eólica ainda é mínima, devido aos altos custos de instalação e a demora quanto ao retorno de investimento (BOBROVA, 2015;MADESSA, 2015;MONTAGNINO, 2017;VIEIRA;MOURA;DE ALMEIDA, 2017).…”

Section: Sustentabilidade Nas Cidades -Energia Elétricaunclassified

See 1 more Smart Citation

Alternativas Para Demanda De Água E Energia Elétrica Para O Município De Governador Celso Ramos

Marques

Barcelos

Magnago

2020

R. gest. sust. ambient.

View full text Add to dashboard Cite

A construção de cidades causa impactos negativos ao meio ambiente, porém elas são fundamentais para a sociedade contemporânea, sendo crescente o interesse por ambientes urbanos. Este artigo trata-se de uma análise documental sobre os aspectos de consumo de água e energia elétrica do município de Governador Celso Ramos (SC), Brasil, no período de 2008 à 2017. Os resultados demonstram aumento de consumo de energia elétrica nos anos período em 69,16% para o setor residencial, 99,55% para o setor comercial e 1,68 vezes a mais para o setor industrial e o consumo de água aumentou 17,02% no mesmo período, com influência da sazonalidade. Mitigações como instalação de fontes alternativas de energia, como solar e eólica, e reaproveitamento de água da chuva e de águas cinzas podem ajudar a atender a demanda da população. Ressaltando que ações educativas devem ser adotadas pois a demanda per capita de água e energia elétrica aumentou no período de estudo. Como conclusão evidencia-se a necessidade de ações conjuntas entre prefeitura municipal, iniciativa privada, órgãos governamentais e munícipes a fim de minimizar os impactos que o crescente número de construções no município está proporcionando ao meio ambiente local.

show abstract

Section: Sustentabilidade Nas Cidades -Energia Elétricaunclassified

Alternativas Para Demanda De Água E Energia Elétrica Para O Município De Governador Celso Ramos

Marques

Barcelos

Magnago

2020

R. gest. sust. ambient.

View full text Add to dashboard Cite

show abstract

“…Another approach is to follow the Rayleigh distribution, which has also been used as one of the statistical tools to analyze wind data. To perform both Weibull and Rayleigh we required shape and scale parameters (k and c) [27]. The shape parameter value decides the type of distribution whether it should be Weibull or Rayleigh.…”

Section: Weibull Distributionmentioning

confidence: 99%

Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India

et al. 2019

View full text Add to dashboard Cite

In this paper the multiverse optimization (MVO) was used for estimating Weibull parameters. These parameters were further used to analyze the wind data available at a particular location in the Tirumala region in India. An effort had been made to study the wind potential in this region (13 • 41 30.4" N 79 • 21 34.4" E) using the Weibull parameters. The wind data had been measured at this site for a period of six years from January 2012 to December 2017. The analysis was performed at two different hub heights of 10 m and 65 m. The frequency distribution of wind speed, wind direction and mean wind speeds were calculated for this region. To compare the performance of the MVO, gray wolf optimizer (GWO), moth flame optimization (MFO), particle swarm optimization (PSO) and other numerical methods were considered. From this study, the performance had been analyzed and the best results were obtained by using the MVO with an error less than one. Along with the Weibull frequency distribution for the selected region, wind direction and wind speed were also provided. From the analysis, wind speed from 2 m/s to 10 m/s was present in sector 260-280 • and wind from 0-4 m/s were present in sector 170-180 • of the Tirumala region in India.optimization is that there exists information exchange among the solutions of candidates. In this way they can handle the local optima, bias of search space and premature convergence easier and faster. Some of the meta-heuristic optimization such as the genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO) and differential evolution algorithm (DEA) have overcome the limitations of single solution optimization methods. Therefore, in this paper a multiverse optimization (MVO) technique is implemented to estimate the parameters to adjust and fit the actual wind profile. This methodology serves as an innovative solution for any particular wind conditions provided a well-defined pattern has been provided. The MVO outperforms other optimization techniques and is being applied for wind energy applications to achieve rapid convergence in estimating Weibull parameters. This MVO algorithm is compared with PSO, which is best among the SI based technique and GWO, MFO as one of the most recent algorithms. The proposed algorithm has high exploitation ability due to combination of WEP/TDR constants and wormholes combined to provide high exploitation. Superior exploration of the proposed algorithm is due to white and black holes to exchange different objects.Here, the wind data for a period of six years from January 2012 to December 2017 in the Tirumala region (13 • 41 30.4" N 79 • 21 34.4" E) is being studied which is located in the southern part of India. In order to analyze the wind distribution, scale and shape parameters are determined using MVO. This gives two values, which is further utilized to determine the probability density function of the Weibull and Rayleigh distribution. With this study it has been estimated that there is sufficient wind potential in this region...

show abstract

“…The study highlighted that the recirculation vortex among the upstream edge of the roof and the first array of solar panel had the highest velocity and the study recommended to position the Vertical Axis Wind Turbine in a horizontal position inside this vortex. Wang et al [76] studied the effect of different forms (flat, trough, double-pitched, gable) of a canopy roof on the airflow over the roof and the potential wind energy generation using CFD simulation. The results showed that under the flat type canopy there is minimal amplification of wind energy amplification.…”

Section: Building Scalementioning

confidence: 99%

“…The results showed that under the flat type canopy there is minimal amplification of wind energy amplification. The addition of an overhang to the upstream of the flat canopy slightly improved the wind concentration under the canopy, however, it was disadvantageous for the region Wang et al [76] studied the effect of different forms (flat, trough, double-pitched, gable) of a canopy roof on the airflow over the roof and the potential wind energy generation using CFD simulation. The results showed that under the flat type canopy there is minimal amplification of wind energy amplification.…”

Section: Building Scalementioning

confidence: 99%

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

et al. 2018

View full text Add to dashboard Cite

Abstract:Global demand for energy continues to increase rapidly, due to economic and population growth, especially for increasing market economies. These lead to challenges and worries about energy security that can increase as more users need more energy resources. Also, higher consumption of fossil fuels leads to more greenhouse gas emissions, which contribute to global warming. Moreover, there are still more people without access to electricity. Several studies have reported that one of the rapidly developing source of power is wind energy and with declining costs due to technology and manufacturing advancements and concerns over energy security and environmental issues, the trend is predicted to continue. As a result, tools and methods to simulate and optimize wind energy technologies must also continue to advance. This paper reviews the most recently published works in Computational Fluid Dynamic (CFD) simulations of micro to small wind turbines, building integrated with wind turbines, and wind turbines installed in wind farms. In addition, the existing limitations and complications included with the wind energy system modelling were examined and issues that needs further work are highlighted. This study investigated the current development of CFD modelling of wind energy systems. Studies on aerodynamic interaction among the atmospheric boundary layer or wind farm terrain and the turbine rotor and their wakes were investigated. Furthermore, CFD combined with other tools such as blade element momentum were examined. Keywords:Computational Fluid Dynamic (CFD); micro to small wind turbine; building integrated with wind turbine; wind farm; aerodynamic interaction; wind energy systems; atmospheric boundary layer (ABL); blade element momentum (BEM)

show abstract

Estimation of wind energy of a building with canopy roof

Cited by 47 publications

References 32 publications

Alternativas Para Demanda De Água E Energia Elétrica Para O Município De Governador Celso Ramos

Alternativas Para Demanda De Água E Energia Elétrica Para O Município De Governador Celso Ramos

Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

Contact Info

Product

Resources

About