scholarly journals Improved Photovoltaic MATLAB Modeling Accuracy by Adding Wind Speed Effect

2017 ◽  
Vol 10 (1) ◽  
pp. 58-63
Author(s):  
Dong-Soon An ◽  
Prasis Poudel ◽  
Sang-Hyun Bae ◽  
Kyung-Woo Park ◽  
Bongseog Jang
Keyword(s):  
Wind Speed ◽  
Modeling Accuracy ◽  
Speed Effect

scholarly journals Analysis of wind speed effect on voltage in wind power plant performance

2020 ◽  
Vol 1450 ◽  
pp. 012132
Author(s):  
I K Parti ◽  
I N Mudiana ◽  
N W Rasmini
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Wind Power ◽  
Plant Performance ◽  
Wind Power Plant ◽  
Speed Effect

Kinetic effects during ocean evaporation: observed relationship with wind speed 

2021 ◽  
Author(s):  
Daniele Zannoni ◽  
Hans Christian Steen-Larsen ◽  
Andrew Peters ◽  
Árný Erla Sveinbjörnsdóttir
Keyword(s):  
Water Vapor ◽  
Wind Speed ◽  
Water Interface ◽  
Fractionation Factor ◽  
Wind Speeds ◽  
Air Water Interface ◽  
Kinetic Fractionation ◽  
Speed Effect ◽  
Equilibrium Fractionation ◽  
Non Equilibrium

<p>Water vapor has a fundamental role in weather and climate, being the strongest natural greenhouse gas in the Earth’s atmosphere. The main source of water vapor in the atmosphere is ocean evaporation, which transfers a large amount of energy via latent heat fluxes. In the past, evaporation was intensively studied using stable isotopes because of the large fractionation effects involved during water phase changes, providing insights on processes occurring at the air-water interface. Current theories describe evaporation near the air-water interface as a combination of molecular and turbulent diffusion processes into separated sublayers. The importance of those two sublayers, in terms of total resistance to vapor transport in air, is expected to be dependent on parameters such as moisture deficit, temperature and wind speed. Non-equilibrium fractionation effects in isotopic evaporation models are then expected to be related to these physical parameters. In the last 10 years, several water vapor observations from oceanic expeditions were focused on the impact of temperature and wind speed effect, assuming the influence of those parameters on non-equilibrium fractionation in the marine boundary layer. Wind speed effect is expected to be small on total kinetic fractionation and was discussed at length but was not completely ruled out. With a gradient-diffusion approach (2 heights above the ocean surface) and Cavity Ring-Down Spectroscopy we have estimated non-equilibrium fractionation factors for <sup>18</sup>O/<sup>16</sup>O during evaporation, showing that the wind speed effect can be detected and has no significant impact on kinetic fractionation. Results obtained for wind speeds between 0 and 10 m s<sup>-1</sup> in the North Atlantic Ocean are consistent with the Merlivat and Jouzel (1979) parametrization for smooth surfaces (mean ε<sub>18</sub>=6.1‰). A small monotonic decrease of the fractionation parameter is observed as a function of 10 m wind speed (slope  ≅ 0.15 ‰ m<sup>-1</sup> s), without any evident discontinuity. However, depending on the data filtering approach it is possible to highlight a rapid decrease of the kinetic fractionation factor at low wind speed (≤ 2.5 m s<sup>-1</sup>). An evident decrease of fractionation factor is also observed for wind speeds above 10 m s<sup>-1</sup>, allowing to hypothesize the possible effect of sea spray in net evaporation flux. Considering the average wind speed over the oceans, we conclude that a constant kinetic fractionation factor for evaporation is a more simple and reasonable solution than a wind-speed dependent parametrization. </p><p> </p><p>Merlivat, L., & Jouzel, J. (1979). Global climatic interpretation of the deuterium‐oxygen 18 relationship for precipitation. Journal of Geophysical Research: Oceans, 84(C8), 5029-5033.</p>

Modelling the Effects of a Vegetation Barrier on Road Dust Dispersion

2016 ◽  
Vol 821 ◽  
pp. 105-112 ◽  
Author(s):  
Viktor Šíp ◽  
Luděk Beneš
Keyword(s):  
Wind Speed ◽  
Road Traffic ◽  
Road Dust ◽  
Atmospheric Particulate Matter ◽  
Vehicular Traffic ◽  
Atmospheric Conditions ◽  
Atmospheric Stratification ◽  
Dust Dispersion ◽  
Speed Effect ◽  
Porous Obstacle

Atmospheric particulate matter (PM) is a well known risk to human health. Vehicular traffic is one of the major sources of particulates in an urban setting.We study a problem of road dust dispersion. Using CFD solver based on RANS equations, we investigate the effect of a vegetation barrier on the concentration of airborne PM induced by road traffic. Simplified 2D model of a porous obstacle adjacent to a road source of two classes of particles serves as an idealization of a real-world situation.Filtering efficiency of the barrier is investigated under varying atmospheric conditions. Our model indicate that the efficiency decreases for increasing wind speed. Effect of atmospheric stratification on~the~air quality behind the barrier is shown to be highly dependent on the wind speed.

scholarly journals Economic Feasibility Study on PV/Wind Hybrid Microgrids for Indonesia Remote Island Application

TEM Journal ◽  
2021 ◽  
pp. 2001-2006
Author(s):  
Syafii Syafii ◽  
Pinto Anugrah ◽  
Heru Dibyo Laksono ◽  
Herris Yamashika
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Power System ◽  
Electrical Power ◽  
Economic Feasibility ◽  
The Other ◽  
Software Optimization ◽  
Hybrid Microgrid ◽  
Remote Island ◽  
Speed Effect

This paper presents the economic feasibility of hybrid microgrid power system for three remote islands of Sumatra, Indonesia. The microgrid system simulated and analysed using Homer Pro software. Optimization results showed that the combination of photovoltaic (PV), diesel generation (G) and batteries (Batt) for microgrid power system in Mandeh and Lagundri Island area were the most economical configuration. Meanwhile, for Mentawai area, the combination of PV, Wind Turbine (WT), G, Batt was the most optimal since it has higher wind speed then the other two areas. The Mandeh area has the highest solar radiation compared to the other two areas, resulting in the lowest CoE of $0.096/kWh as well as the lowest investment and operational costs. For the fixed PV 100 kW scenario, the optimal configuration is obtained with 86 kW supplied by WT for the Lagundri location, and 67 kW supplied by WT for the Mentawai area, while the WT installation area is not recommended for Mandeh location. The power management analysis showed that the average and patterns of weather parameters including solar radiation and wind speed effect both PV and Wind electrical power production.

Investigation of wind speed effect on different mounted PV systems using satellite data

2020 ◽  
Vol 39 (4) ◽  
Author(s):  
Nurullah Arslanoglu ◽  
Abdulvahap Yigit ◽  
Buket S. Eker
Keyword(s):  
Wind Speed ◽  
Satellite Data ◽  
Pv Systems ◽  
Speed Effect
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