Volume 9 Issue 4
October-December 2021
All articles in this issue under licence
STUDY OF PERFORMANCE OF CEILING SWIRL DIFFUSER PLACEMENT IN INDOOR ENVIRONMENT [pp 20-24]
Country – INDIA
DOI –10.55083/irjeas.2021.v09i04006
Paresh Korde, Dr. Shailendra Dwivedi
Abstract: An air diffuser while placing in an indoor office space has been the most important consideration for human thermal comfort.To obtain a maximum thermal comfort in an open indoor space the velocity of air and swirl produced by diffuser also has a huge impact.In this thesis we have worked to obtain a better temperature distributed in an indoor space as well as to get a better effect of swirl. We have observed the performance of placing a ceiling swirl diffuser by placing it on a diffuser angle of 9⁰,10⁰,11 in an indoor space. Swirl produce by diffuser depends on it angle and proper swirl mixing with air produce better temperature distribution inside the room to obtain thermal comfort so by this experimental work we just want to evaluate and analysis the proper flow of air by swirl diffuser to design more angle validated ceiling diffusers.
Cite this Article
Paresh Korde, Dr. Shailendra Dwivedi. STUDY OF PERFORMANCE OF CEILING SWIRL DIFFUSER PLACEMENT IN INDOOR ENVIRONMENT. International Research Journal of Engineering & Applied Sciences, (IRJEAS), 9(4), pp. 20-24, 2021. https://doi.org/10.55083/irjeas.2021.v09i04006.
TWO DIMENSIONAL AEROFOIL WIND TURBINE BLADE DESIGN AND ANALYSIS USING CFD ANALYSIS [pp 25-27]
Country – INDIA
DOI –10.55083/irjeas.2021.v09i04005
Kamal Bhan Singh, Yogesh Mishra
Abstract: In the current scenario, wind turbine energy accounts for 70% of total renewable energy used in India. The Indian wind energy sector has a capacity of 20 GW installed (as on 31.5.2017). In terms of installed wind power capacity, India ranks fifth in the world and is regarded as a major player in the global wind energy market. For the current work, a design method based on modelling in Uni-graphics and followed by simulation using the CFD (Computational Fluid Dynamics) star ccm + programme is chosen, so that the expense and time required to find the optimum aerodynamic design of a wind turbine blade by experiment can be minimised. The wind turbine aerodynamic theory is used in the analysis. This simulation analyses the characteristics of aerofoils by using star ccm + two-dimension models of wind turbine blades. The SST K- turbulent model is used to analyse two-dimensional aero foils NREL S807 and NREL-S809. The dimensionless lift, drag, and pitching moment coefficients of wind turbine blades at various angles of attack were calculated.Two different aero foils, NRELS807 and NREL S809, with ten different angle of attack are also analysed, for a total of 20 cases with a wind speed of 20m/sec. Uni-graphics is used for modelling. The firstaero foil NREL S807 has a maximum lift coefficient of 1.25 at a 12o angle of attack and a maximum drag coefficient of 0.134 at a 16o angle of attack. Maximum lift for aero foil S809 is 1.15 at an angle of attack (AOA) of 16o, and maximum drag is around 0.176.
Cite this Article
Kamal Bhan Singh, Yogesh Mishra. TWO DIMENSIONAL AEROFOIL WIND TURBINE BLADE DESIGN AND ANALYSIS USING CFD ANALYSIS. International Research Journal of Engineering & Applied Sciences, (IRJEAS), 9(4), pp. 25-27, 2021. https://doi.org/10.55083/irjeas.2021.v09i04005.
MACHINE LEARNING BASED FAULT DIAGNOSIS SCHEME FOR GRID-CONNECTED PV SYSTEM [pp 28-33]
Abstract: Photovoltaic (PV) systems have received a lot of attention in recent decades due to their accessibility and advancements in PV technology. The protection of PV systems from faults such as String to String (SS), String to Ground (SG), Open circuit (OC), and partial shading are the key challenges to the realization of cost-effective and environmentally friendly PV systems. Such unusual circumstances reduce the maximum available PV power. Partial shading and breakdowns in a PV array must therefore be noticed quickly for enhanced system efficiency and reliability. The significant fault current in PV systems can be detected using the existing safety devices in PV systems, such as fuses and residual current detectors. The flowing fault current being of low order is not significant enough for current protection devices to detect if the solar and/or fault mismatch is modest and the fault resistance is high.As a result, under cloudy and low irradiance conditions, the traditional protection devices fail to identify problems, resulting in reliability concerns and photovoltaic fire threats. In this context, a fault diagnosis scheme for PV systems is presented in this paper, which includes feature extraction using the Discrete wavelet transform, and classification of various defects on the PV system using Decision tree.
Cite this Article
Deepa Singh, Laxman Solankee. MACHINE LEARNING BASED FAULT DIAGNOSIS SCHEME FOR GRID-CONNECTED PV SYSTEM. International Research Journal of Engineering & Applied Sciences, (IRJEAS), 9(4), pp. 28-33, 2021. https://doi.org/10.55083/irjeas.2021.v09i04007.