Real Time Clock based Energy Efficient Automatic Dual Axis Solar Tracking System

Kumar.N, Krishna; Subramaniam, V.

doi:10.4186/ej.2018.22.1.15

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…One way to change the position of the solar cell to be perpendicular to the sunlight is to use a solar tracker/sun tracker. Sun tracker is a device that is used to move solar cells so that they are perpendicular to the direction of sunlight [4]- [5]. The sun tracker consists of actuators, controllers, angle sensors, light sensors, and sources of electrical energy.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Support Vector Machine And Perceptron Algorithms In Classification Of The Best Work Programs In P2KBP3A

Samudra¹,

Rosnelly²,

Situmorang³

2023

ICoSTEC

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With the rapid growth of government agencies that are required to carry out an activity in every aspect that publishes and carries out obligations every year, it is required to be held accountable and also implemented for every device that receives such as fostered villages by utilizing the available APBD funds to maximize the work program that has been designed. so that it can be implemented as much as possible. That way, to get the best from all aspects of every work program implementation, there must be an important point from the annual work program design that is made without exception. Data mining itself can help P2KBP3A in analyzing each work program that is designed before being implemented in the future for the annual work program by looking at various aspects of past work program data and grouping work programs in the form of classification. In designing the work program, this research builds a classification model by adding a sigmoid activation function that uses SVM and perceptron to compare the accuracy results of the algorithm used to get the best work program design. From the various classifications used, the best value for classifying the dataset of the best P2KBP3A work programs can be seen from the average accuracy value of 87.5%, F1 value of 82.2%, the precision value of 80.2%, and recall value of 87.5%.

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Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Support Vector Machine And Perceptron Algorithms In Classification Of The Best Work Programs In P2KBP3A

Samudra¹,

Rosnelly²,

Situmorang³

2023

ICoSTEC

View full text Add to dashboard Cite

show abstract

“…Sidek et al [12] built a master-slave dual-axis solar tracking system using two slave microcontrollers to control the position of both axes, which are governed by a master microcontroller, obtaining an accuracy of 0.5 • in the sun tracker with a maximum energy gain of 26.9% better than the fixed-tilted PV panel. Kumar.N and Subramaniam [13] implemented an MDS sun tracker to orient a solar dish concentrator, calculating the sun position using an RTC and a solar position equation, thus obtaining 75% more average thermal energy compared to a fixed solar tracking system.…”

Section: Introductionmentioning

confidence: 99%

SCADA-Based Heliostat Control System with a Fuzzy Logic Controller for the Heliostat Orientation

et al. 2019

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In central receiver systems, there are local controls that modify the position of the heliostats, where the trend is to increase the intelligence of the local controls in order to give them greater autonomy from the central control. This document describes the design and construction of a SCADA (Supervisory Control and Data Acquisition)-based heliostat control system (HCS) with a fuzzy logic controller (FLC) for the orientation control. The HCS includes a supervisory unit with a graphical user interface, a wireless communication network, and a stand-alone remote terminal unit (RTU) implemented on a low-cost microcontroller (MCU). The MCU uses a solar position algorithm with a maximal error of 0.0027 • in order to compute the position of the sun and the desired angles of the heliostat, according to a control command sent by the supervisory unit. Afterwards, the FLC orients the heliostat to the desired position. The results show that the RTU can perform all the tasks and calculations for the orientation control by using only one low-cost microcontroller with a mean squared error less than 0.1 • . Besides, the FLC orients the heliostat by using the same controller parameters in both axes. Therefore, it is not necessary to tune the controller parameters, as in the traditional PID (Proportional-Integral-Derivative) controllers. The system can be adapted in order to control other two-axis solar-tracking systems.

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“…This has become the reason why energy production and consumption pattern has been given special attention in tackling climate change. To reduce GHG emissions and thus combat climate change, the use of renewable energy technologies is required [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Modelling the Impact of Nigeria Household Energy Policies on Energy Consumption and CO2 Emissions

Dioha

2018

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Energy security, environmental degradation, and climate change have become global topics of discussion. In response to these issues, the federal government of Nigeria has developed the National Renewable Energy and Energy Efficiency Policy (NREEEP). In this policy document, some programs were outlined for the Nigerian household sector. A major initiative in the household energy policies is to incorporate energy efficient appliances in all households by 2030. Here, we use the Long-range Energy Alternatives Planning Systems modelling framework to analyse the effect of these policies on final energy demand and CO2 emissions. The paper also goes ahead to look at the knock-on effects if the policies are sustained up to mid-century. Two scenarios are developed; the reference (REF) scenario and the energy policy (EPO) scenario. Results show that final energy demand of the Nigerian residential sector will increase from around 826 PJ in 2010 to 1580 PJ in 2030 and will further increase to 3011 PJ by 2050 in the REF scenario. In the same scenario, CO2 emissions increased from 6.1 MtCO2e in 2010 to around 15.4 and 37.2 MtCO2e in 2030 and 2050 respectively. Our analysis suggests that if the household energy policies are fully implemented in the EPO scenario, about 61% and 58% reduction in energy demand is achievable by 2030 and 2050 respectively when compared to the REF scenario. The study further indicates that the direct total CO2 emissions in the EPO scenario will increase by around 170% and 124% by 2030 and 2050 respectively, when compared with the REF case. Our findings indicate that the current household energy policies are not effective from the perspective of climate change mitigation. Hence, complementary policies are recommended.

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Real Time Clock based Energy Efficient Automatic Dual Axis Solar Tracking System

Cited by 6 publications

References 19 publications

Comparative Analysis of Support Vector Machine And Perceptron Algorithms In Classification Of The Best Work Programs In P2KBP3A

Comparative Analysis of Support Vector Machine And Perceptron Algorithms In Classification Of The Best Work Programs In P2KBP3A

SCADA-Based Heliostat Control System with a Fuzzy Logic Controller for the Heliostat Orientation

Modelling the Impact of Nigeria Household Energy Policies on Energy Consumption and CO2 Emissions

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