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Solar tracker

The renewable energy source is a non-depleting energy source, which is abundantly present in our climate. At present, the existing research areas are focused on renewable energy sources. This source of energy is clean and pollution-free. The only significant problem associated with this is its performance and profitability. We come across several solar panels every day. Those panels are fixed. We took this further on with tracking devices to solar panels. These solar tracking devices come in fixed structures with a single axis and dual axis. The Dual-axis tracking mechanism is quite effective as it is capable of capturing more irradiance than the other. These are capable of shifting the system in various co-ordinates of latitudes and longitudes according to the position of the sun. Fixed axis devices are capable of capturing the maximum intensity of the sun for one particular moment throughout the day when the sun is at zenith. These trackers are powered by small solar cells that provide motion to the panel according to the location of the sun. Also, it is not recommended to use solar trackers with small PV arrays because of the energy consumption of the driving systems, which vary from 2% to 3% of the energy increase delivered by the solar trackers. This paper intended to review different solar tracking system that increases the solar power output. A solar tracking system, using a photovoltaic device to monitor the changing solar position, is disclosed. The photovoltaic device is automatically overridden when the sun ceases to be the brightest point in the sky, for instance during times of partial cloud cover, and the machine attempts to attain the brightest spot in preference to the sun.  The override system is clock-driven and moves the tracking system to approximate the solar position so that when the sun re-energizes as the brightest object in the sky, the photo-voltaic device can immediately reacquire the sun.

Published by: Mithilesh Rai

Author: Mithilesh Rai

Paper ID: V6I4-1380

Paper Status: published

Published: August 14, 2020

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Research Paper

UNO-Phobia vs. Islam-Phobia

Equal & Opposite is the Apriori Framework of this Manifested Nature.

Published by: Jamir Ahmed Choudhury

Author: Jamir Ahmed Choudhury

Paper ID: V6I4-1355

Paper Status: published

Published: August 14, 2020

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Research Paper

Smart grid demand side management using hybrid combination of bat and firefly algorithm

A smart grid is the advanced power grid, and electricity demand is managed and controlled by it. The electricity demand is increased during the peak hours of the day. Thus, to fulfill the electricity demand either generate the extra electricity in the peak hours that increase the cost or reduce the load in the peak hours. The load during peak hours is reduced by adopting a demand-side management technique. These techniques reduce the generation cost, and the performance of the smart grid is improved. This paper provides proposed a new/latest approach known as a hybrid of BAT, and Firefly optimization is used to control the switching time of devices so that the overall load can be minimized. The experimental results are performed for different devices (3 and 5). The simulation results show that the proposed algorithm reduces the cost as compared to the original cost. In the last, we have compared the performance of the proposed algorithm over the existing Particle Swarm Optimization (PSO) algorithm and found that 47.02% and 36.48% cost reduction for 3 and 5 devices, respectively.

Published by: Kirtanpal Singh, Puneet Jain

Author: Kirtanpal Singh

Paper ID: V6I4-1377

Paper Status: published

Published: August 13, 2020

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Review Paper

Water demand prediction using Machine Learning

Water is one of the critical resource for sustainable economic and social development of a country. To maintain health & hygiene, energy & agricultural products, and the environment management water plays a key role. Water demand prediction is very much essential to analyze the requirement which indicates emergency state for water management decisions. The explores usage of water for dairy plants to understand the spatial and well as temporal patterns for future water requirements, to optimize the water demand estimation. It uses concept of Machine learning algorithms to compare and achieve an effective and reliable system for water prediction.

Published by: Disha A. P., Lahari T. K., G. Jananisri, Soniya R.

Author: Disha A. P.

Paper ID: V6I4-1375

Paper Status: published

Published: August 13, 2020

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Research Paper

A study on the effect of CBR value on the thickness of the pavement

Pavements are required for the smooth, safe, and systematic passage of traffic. Pavements are generally classified as flexible and rigid pavements. Flexible pavements are those which have low flexural strength and are flexible in their structural action under loads. Rigid pavements are those which possess noteworthy flexural strength and flexural rigidity.

Published by: K. Shreyas, Yathish G. D., Yashaswini G., Pavithra R., Shilpa Patil

Author: K. Shreyas

Paper ID: V6I4-1328

Paper Status: accepted

Submitted: August 13, 2020

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Research Paper

Approach to help choose right data warehousing tool for an enterprise

Data warehousing tool market space is currently filled with many tools each having its unique pros and cons making it very difficult for enterprises to make the choice of tool. The breadth of data warehousing has also moved beyond data integration, ETL, and presently encompasses data integration, data quality, master data management, metadata management, reference data management, big data Management. Enterprises expect the data warehouse tool providers to meet the requirements of all of these functionalities. This paper provides a point model approach using key performance indicators (KPI), Weightage and Scores to help choose the right data warehousing tool for enterprises.

Published by: Madhusudhan Reddy Sureddy, Prathyusha Yallamula

Author: Madhusudhan Reddy Sureddy

Paper ID: V6I4-1372

Paper Status: published

Published: August 13, 2020

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