Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Marc Alexandre Allard, Marius Paraschivoiu Abstract: Journal of Renewable and Sustainable Energy, Volume 14, Issue 3, May 2022. In this paper, the concept of positioning micro-scale wind turbines on the roof of buildings is being studied for a Darrieus wind turbine, located above the roof of a cubic building at two different positions and operating under different wind flow conditions. The turbine has a height of 2 m and is positioned at 1 or 2 m from the top of the roof of a 30.5 m cubic building. The simulation methodology based on 3D unsteady computational fluid dynamics is first presented, including mesh details and experimental validation of the unperturbed flow baseline configuration. The simulation of different configurations shows that the turbine's Coefficient of Power can reach 0.55 by positioning it above the side corners of the building when the wind reaches the building at 45°. This position indicates that the synergy between the building and the turbine is quite strong such that the turbine should be placed not on top of the frontal corner but on top of one of the side corners. The power produced by this turbine at this location is 464 W. This placement leads to a significant increase in comparison with the maximum coefficient of power (Cp) of 0.32 (equivalent to a power of 378 W) when the turbine does not interact with a building. This increase in performance is very impressive. An increase of 25% in the power extracted can lead to better integration of wind turbines on roofs. Citation: Journal of Renewable and Sustainable Energy PubDate: 2022-05-12T10:14:06Z DOI: 10.1063/5.0079971
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Zhonghua Huang, Yawei Li, Yifan Zhu, Hao Zhou Abstract: Journal of Renewable and Sustainable Energy, Volume 14, Issue 3, May 2022. The non-uniformity of temperature distribution and thermal stress distribution in the on-site high-temperature molten salt receiver is frequently reflected in the receiver's unstable operating circumstances. As a result, the focus of this research is on the transient thermal performance of the receiver in non-steady-state situations. An in-house software was used to estimate the transient temperature distribution of a lab-scale receiver using a three-dimensional transient model built for the receiver's thermal performance calculation. The transient thermal performance of a lab-scale receiver was studied under some variable operating conditions, such as the startup process, varying mass flow rate, varying radiation flux, and varying ambient wind speed, using a combination of numerical prediction and variable-condition experiment on a lab-scale receiver. When the working environment changed, the temperature distribution of the receiver took around 12 s to return to a stable condition. In addition, when the working environment changed, the transient temperature fluctuations of the receiver were given and evaluated in depth in this study. Citation: Journal of Renewable and Sustainable Energy PubDate: 2022-05-09T11:51:54Z DOI: 10.1063/5.0085499
Please help us test our new pre-print finding feature by giving the pre-print link a rating. A 5 star rating indicates the linked pre-print has the exact same content as the published article.
Authors:Hao Lu, Yunpeng Zhang, Peng Hao, Jiao Ma, Hui Zhong, Tingkun Gu, Ming Yang, Li Zhang Abstract: Journal of Renewable and Sustainable Energy, Volume 14, Issue 3, May 2022. The current–voltage (I–V) equation in the equivalent circuit model of the photovoltaic (PV) module is implicit, and the dependence of model parameters on environmental conditions is uncertain, which causes inconvenience in output performance prediction. In this paper, a novel method based on the power-law model (PLM) is proposed to predict the I–V characteristics and output power of PV modules under varying operating conditions. The relationship between parameters in the PLM and manufacturer datasheet information is established. The irradiance and temperature dependences of shape parameters in PLM are obtained and investigated thoroughly. Due to inherent simplicity and explicit expression of PLM, the proposed method predicts the I–V characteristics and output power without using any iterative process, which reduces the computational complexity. The proposed method is validated by different types PV modules and under a wide range of environmental conditions. Comparing with traditional methods based on a single-diode model, the proposed method has better agreements with experimental results in all irradiance and temperature intervals. The accuracy and effectiveness are verified both in short-term and long-term output power prediction. The proposed method is simple and suitable to predict the actual output properties of PV modules under varying operating conditions. Citation: Journal of Renewable and Sustainable Energy PubDate: 2022-05-06T10:15:29Z DOI: 10.1063/5.0088190
Hybrid journal (It can contain Open Access articles)
[27 journals]
