PREVIOUS ISSUES » Volume 9 Issue 1 January-March 2021

Volume 9 Issue 1                         January – March 2021


A WAVELET TRANSFORM AND DATA MINING TECHNIQUE BASED PROTECTION TECHNIQUE FOR MICROGRID [pp 01-07]

Country – INDIA

DOI – 10.55083/irjeas.2021.v09i01001

Narware Mamta, Solankee Laxman

Abstract: With the emphasis on reducing carbon footprint and promoting the utilization of non renewable resources of energy in production of electricity, the micro grids have emerged as popular arrangement. Micro grids have empowered the users with flexibility in generating &controling electricity as per their requirements and have reduced their dependence on utility grid. Also they can now transfer surplus electrical energy to utility grid and can earn monetary gains. Photovoltaic systems have emerged as indispensable alternative over other distributed energy resources that can be inetrated in microgrids due to their simple design, easy to install and easy to maintain features. However the deep penetration of microgrid systems is posing threat to reliable & optimal operation of main utility grids. It is important to detect the faults on primitive stage &resove it before it results into catastrophic failure of whole system. This paper presents novel scheme based on wavelet transform & data mining technique for early detection & classification of faults that may occur in microgrid. Once the fault is detected & classified an appropriate protection scheme can be employed to resolve the faults at early stage and thereby improving the overall safe operation of the complete system.

Cite this Article

Mamta Narware, Laxman Solankee. A WAVELET TRANSFORM AND DATA MINING TECHNIQUE BASED PROTECTION TECHNIQUE FOR MICROGRID. International Research Journal of Engineering & Applied Sciences, (IRJEAS). 9(1), pp. 01-07, 2021. https://doi.org/10.55083/irjeas.2021.v09i01001.


SUPPLY CHAIN COORDINATION BY INFORMATION SHARING [pp 08-11]

  Country – USA

DOI – 10.55083/irjeas.2021.v09i01002

Michael Druz

Abstract: Nowadays, the effective supply chain is one of the important issues in the industrial management context. In today’s world that is confronted with rapid technological changes and high competitiveness, companies are more successful that respond to the customers’ needs effectively, regarding the existing opportunities and threats. Since a supply chain consists of various organizations, it can satisfy customers’ needs, only when the whole of its parties become integrated and coordinated.

Cite this Article

Michael Druz. SUPPLY CHAIN COORDINATION BY INFORMATION SHARING. International Research Journal of Engineering & Applied Sciences, (IRJEAS). 9(1), pp. 08-11, 2021. https://doi.org/10.55083/irjeas.2021.v09i01002.


EFFECT OF AUTOMATED COOLING SYSTEM ON EFFICIENCY OF PV SOLAR POWER GENERATION SYSTEM [pp 12-14]

Country – INDIA

DOI – 10.55083/irjeas.2021.v09i01003

Jatin Das, Shyam Malik

Abstract: In day to day life because of lack energy resources man move towards renewable energy source. When we go towards solar system it can use the sun energy to boil water or to generate electricity. Our aim is to develop a system which uses solar energy in both form thermal and solar form. The Hybrid Solar Solution is able to produce more electricity than PV, more reliable hot water than solar thermal, and heating at a better CoP than most conventional heat pumps – all with little or no CO2 emissions. Current projections suggest that a PV-T will produce sufficient electricity over the course of the year to cover the demand of the heat pump, which will meet a reasonably insulated building’s total annual heating and hot water requirements. Further to this the incorporation of a solar thermally charged. The efficiency of the system to a point that it outperforms any thermal system or solar system.

Cite this Article

Jatin Das, Shyam Malik. EFFECT OF AUTOMATED COOLING SYSTEM ON EFFICIENCY OF PV SOLAR POWER GENERATION SYSTEM.  International Research Journal of Engineering & Applied Sciences, (IRJEAS). 9(1), pp. 12-14, 2021. https://doi.org/10.55083/irjeas.2021.v09i01003.


CFD SIMULATION OF HEAT TRANSFER THROUGH A ABSORBER PLATE OF SOLAR AIR HEATER WITH ARTIFICIAL ROUGHNESS [pp 15-19]

Country – INDIA

DOI – 10.55083/irjeas.2021.v09i01004

Swarnim Tiwari, Kamlesh Dubey

Abstract: Solar energy is abundantly available and its use in various applications has always been of great interest among the common man, designer, engineer and researchers. One of the applications among several is in heating of air. Hot air is of use in domestic and industrial purposes. The efficiency of any solar air heater can be understood as the ability of the solar air heater to transfer the heat from the absorber plate where the solar radiations are absorbed to the air flowing over this. Since the heat transfer is affected by the surface of the absorber plate, study of surface conditions becomes essential for improving the efficiency of the heater. Many researchers have done several studies for the improvement of the heat transfer from the absorber plate to the air. In this paper, the authors have simulated the heat transfer from an absorber plate in which artificial roughness elements are provided. The simulation results show that the heat transfer is improving because of the turbulence development near the surface of the absorber plate. The temperature and velocity contours have been presented in this paper. Temperature, velocity, heat transfer coefficient and Nusselt number plots for the absorber plate are also shown.

Cite this Article

Swarnim Tiwari, Kamlesh Dubey. CFD SIMULATION OF HEAT TRANSFER THROUGH A ABSORBER PLATE OF SOLAR AIR HEATER WITH ARTIFICIAL ROUGHNESS. International Research Journal of Engineering & Applied Sciences, (IRJEAS). 9(1), pp. 15-19, 2021. https://doi.org/10.55083/irjeas.2021.v09i01004.


OPTIMIZING THE EFFICIENCY OF SOLAR PHOTO VOLTAIC SYSTEM [ pp 20-32]

Country – INDIA

DOI – 10.55083/irjeas.2021.v09i01005

Hitesh Yadav, Mahesh Kumar

Abstract: India is an energy deficient country, where a large fraction of the population still does not have access to modern day energy services such as electricity. This is due to very limited fossil fuel resources and poor economy, which restrains the import of fossil fuels on a large scale. To overcome energy shortage, India needs to develop its indigenous energy resources like hydropower, solar and wind. India lies in an area of one of the highest solar insulation in the world. Accordingly, the status and outlook of solar energy use in India are discussed. It is concluded that the current infrastructure has not been able to advance the status of solar energy in India. Significant efforts are needed to effectively utilize this cheap renewable energy source. Solar power is a term that refers to several alternative sources of energy by which sunlight is harnessed to do useful work for mankind. People know that it is energy since the same alone implies this, but many people think it is expensive and not a preferred method of producing energy. We need to find out how cost effective it is how useful solar power technologies involves the use of photovoltaic cells.

Cite this Article

Hitesh Yadav, Mahesh Kumar. OPTIMIZING THE EFFICIENCY OF SOLAR PHOTO VOLTAIC SYSTEM. International Research Journal of Engineering & Applied Sciences, (IRJEAS). 9(1), pp. 20-32, 2021. https://doi.org/10.55083/irjeas.2021.v09i01005.

 

Advancing Intelligent Computational Techniques for Uncovering, Identifying, and Forecasting Physical Object Properties: A Comprehensive Exploration [ pp 33-37]

Country – INDIA

DOI -https://doi.org/10.55083/irjeas.2021.v09i01006

Dr. Sajeeda Parveen Shaik

Abstract: The integration of intelligent computational techniques represents a pivotal leap forward in our capacity to analyze, comprehend, and forecast physical object properties. This paper provides a comprehensive exploration of these techniques, emphasizing their crucial role in revealing latent patterns, identifying distinctive features, and predicting the future states of diverse physical objects. Going beyond conventional methodologies, these approaches, driven by artificial intelligence, machine learning, and advanced data analytics, offer a nuanced understanding of the intrinsic characteristics of objects in the physical world. Drawing on a diverse range of case studies across various domains, this exploration highlights the versatility and efficacy of these intelligent computational techniques, unveiling their applications in critical areas such as manufacturing, healthcare, environmental monitoring, transportation, and more. Through detailed examples, the paper demonstrates how these techniques contribute to innovative problem-solving and decision-making processes in real-world scenarios. While showcasing their successes, the paper also addresses existing challenges, ethical considerations, and outlines potential future directions, contributing to the ongoing dialogue surrounding the responsible and effective deployment of intelligent computational techniques. In doing so, the paper emphasizes the transformative impact of these techniques on our understanding of physical object properties and underscores their broader implications for addressing complex challenges and fostering innovation in diverse fields.

 

Investigating the Structural and Electronic Characteristics of a Novel Hybrid Material: Single Crystal Analysis and DFT Studies of a Compound Based on 2-Hydroxypyridine and Selenic Acid. [pp 38-42]

Country – INDIA

DOI -https://doi.org/10.55083/irjeas.2021.v09i01007

Dr. Shrikrishna H Gurlhosur

Abstract: A novel hybrid material, denoted as [(2-OH-pyH+)]2SeO4, has been skillfully synthesized using a precise slow evaporation technique, showcasing crystalline attributes within the monoclinic system. The compound adopts the centrosymmetric space group C2/c, revealing distinctive structural features. Comprehensive investigations into the molecular structure, vibrational spectra, and optical properties of [(2-OH-pyH+)]2SeO4 have been conducted through theoretical studies at the B3LYP/6–31 + G* level, providing valuable insights. This study significantly advances our understanding of the material’s properties and explores potential applications. The synthesis of [(2-OH-pyH+)]2SeO4 is accompanied by a multifaceted theoretical approach, including TD-DFT calculations to simulate the HOMO and LUMO, determining the frontier orbital gap, and computing the UV–visible spectrum in the gas phase. These computational insights establish a crucial link between experimental and theoretical realms, offering a holistic comprehension of the material’s electronic properties. The investigation further delves into intermolecular and intramolecular charge interactions through Natural Bond Orbital (NBO) analysis, unraveling the compound’s bonding nature. Molecular Electrostatic Potential (MEP) calculations contribute to the research, shedding light on the charge distribution and electrostatic features of [(2-OH-pyH+)]2SeO4. This comprehensive research not only successfully synthesizes and characterizes the novel hybrid material but also provides a detailed exploration of its electronic and optical properties through a synergistic combination of experimental and computational approaches, opening potential applications in diverse fields such as catalysis and materials science.