Solar powered low cost DC-DC converter based line frequency inverter for domestic lighting loads

2012 ◽  
Author(s):  
K. Saravanan ◽  
C. Sharmeela
Keyword(s):  
Low Cost ◽  
Line Frequency ◽  
Lighting Loads ◽  
Solar Powered ◽  
Frequency Inverter

scholarly journals Low Cost, Robust, Environmentally Friendly Geopolymer-Mesoporous Carbon Composites for Efficient Solar Powered Steam Generation

2018 ◽  
Vol 28 (47) ◽  
pp. 1803266 ◽  
Author(s):  
Fenghua Liu ◽  
Binyuan Zhao ◽  
Weiping Wu ◽  
Haiyan Yang ◽  
Yuesheng Ning ◽  
...  
Keyword(s):  
Mesoporous Carbon ◽  
Low Cost ◽  
Environmentally Friendly ◽  
Carbon Composites ◽  
Steam Generation ◽  
Solar Powered

scholarly journals PV Based Automatic Irrigation System

2021 ◽  
Vol 9 (12) ◽  
pp. 21-30
Author(s):  
M. Sreenivasulu Naik
Keyword(s):  
Water Conservation ◽  
Single Channel ◽  
Irrigation System ◽  
Low Cost ◽  
Reservoir Water ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
World Energy ◽  
Human Effort ◽  
Solar Powered

Abstract: In Because of the lack of rains and scarcity of land reservoir water, proper irrigation methods are critical in the field of agriculture. The continuous extraction of water from the earth is lowering the water level, causing a lot of land to slowly come into the unirrigated zones. Another important reason for this is because of unplanned water use, which wastes a significant amount of water. This automatic plant irrigation system is used for this purpose. Solar energy is used to power the system via photovoltaic cells. As a result, there is no need to rely on erratic commercial power. In this digital age, we demand that everything around us be automated, reducing human effort. Electronic circuits are becoming more prevalent, making life easier and simpler in today's world. Energy and water scarcity are two major issues that everyone is dealing with these days. As a result, energy and water conservation are required. The goal is to create a solar-powered prototype that will automatically irrigate the field. Consider how convenient it will be to be able to focus on your next task while your field is being irrigated automatically and at a low cost. No worries about underirrigation or over-irrigation, water waste or expensive electricity, or your busy schedule. Keywords: Arduino Uno-Soil Moisture Sensor Submersible Water Pump - Single Channel Relay - Solar Panel - LCD Display - Buzzer - IDE

scholarly journals Development and Performance Testing of Solar Operated Insecticide and Pesticide Agro Spraying System

2019 ◽  
Vol 9 (1) ◽  
pp. 573-578
Keyword(s):  
Low Cost ◽  
Labour Productivity ◽  
Operating Time ◽  
Performance Testing ◽  
Maintenance Cost ◽  
Pump Efficiency ◽  
Agricultural Field ◽  
Low Efficiency ◽  
And Performance ◽  
Solar Powered

This paper represents the development and performance analysis of Solar operated Spraying system. Generally in the agricultural field, traditional conventional techniques like hand operated and fuel operated sprayer system for spraying pesticides have been used which is not eco-friendly, less labour productivity and low efficiency. These tools uses diesel as fuels which is harmful for the environment and also do increases the operating and maintenance cost. This motivates us to design and fabricate real-time product which is operated by solar energy. The main objective of this research is to design and fabricate the solar powered agricultural pesticide sprayer by considering parameters like desired spraying capacity, low weight, low cost, user-friendly nature, high operating time and for faster coverage of area. Mathematical models were developed after adopting suitable assumptions for calculation of power of the motor and sizing of battery, charge controller, solar panel required for spraying a known quantity of fluid. The parts required for the system had been selected by solving for known inputs values and considering their availability in the market. The maximum discharge at outlet of DC Pump, efficiency of pump had been calculated by taking different discharge at outlet of the pump. Further by using 12 Volt Led light, it can be operated in night mode and also is to reduce back pain of human being by keeping the tank in backside.

scholarly journals Low-Cost IoT Remote Sensor Mesh for Large-Scale Orchard Monitorization

2020 ◽  
Vol 9 (3) ◽  
pp. 44
Author(s):  
Leonor Varandas ◽  
João Faria ◽  
Pedro Gaspar ◽  
Martim Aguiar
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Low Cost ◽  
Experimental Tests ◽  
Remote Measurement ◽  
Land Protection ◽  
Remote Monitoring System ◽  
Solar Powered ◽  
The Individual ◽  
System Nodes

Population growth and climate change lead agricultural cultures to face environmental degradation and rising of resistant diseases and pests. These conditions result in reduced product quality and increasing risk of harmful toxicity to human health. Thus, the prediction of the occurrence of diseases and pests and the consequent avoidance of the erroneous use of phytosanitary products will contribute to improving food quality and safety and environmental land protection. This study presents the design and construction of a low-cost IoT sensor mesh that enables the remote measurement of parameters of large-scale orchards. The developed remote monitoring system transmits all monitored data to a central node via LoRaWAN technology. To make the system nodes fully autonomous, the individual nodes were designed to be solar-powered and to require low energy consumption. To improve the user experience, a web interface and a mobile application were developed, which allow the monitored information to be viewed in real-time. Several experimental tests were performed in an olive orchard under different environmental conditions. The results indicate an adequate precision and reliability of the system and show that the system is fully adequate to be placed in remote orchards located at a considerable distance from networks, being able to provide real-time parameters monitoring of both tree and the surrounding environment.

Development of a Low-Cost Solar-Powered Water Supply System for Small-Scale Drip Irrigation Farms in Sub-Saharan Africa: Dosing Tank and Bell Siphon Perspective

2018 ◽  
Vol 144 (7) ◽  
pp. 05018003 ◽  
Author(s):  
Eric Oppong Danso ◽  
Thomas Atta-Darkwa ◽  
Finn Plauborg ◽  
Edward Benjamin Sabi ◽  
Yvonne Kugblenu-Darrah ◽  
...  
Keyword(s):  
Water Supply ◽  
Drip Irrigation ◽  
Low Cost ◽  
Supply System ◽  
Water Supply System ◽  
Sub Saharan Africa ◽  
Small Scale ◽  
Sub Saharan ◽  
Solar Powered

scholarly journals Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6104
Author(s):  
Bernardo Calabrese ◽  
Ramiro Velázquez ◽  
Carolina Del-Valle-Soto ◽  
Roberto de Fazio ◽  
Nicola Ivan Giannoccaro ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Visually Impaired ◽  
High Speed ◽  
Low Cost ◽  
Recognition Rate ◽  
Object Identification ◽  
Time Interval ◽  
Solar Powered ◽  
Human Faces

This paper introduces a novel low-cost solar-powered wearable assistive technology (AT) device, whose aim is to provide continuous, real-time object recognition to ease the finding of the objects for visually impaired (VI) people in daily life. The system consists of three major components: a miniature low-cost camera, a system on module (SoM) computing unit, and an ultrasonic sensor. The first is worn on the user’s eyeglasses and acquires real-time video of the nearby space. The second is worn as a belt and runs deep learning-based methods and spatial algorithms which process the video coming from the camera performing objects’ detection and recognition. The third assists on positioning the objects found in the surrounding space. The developed device provides audible descriptive sentences as feedback to the user involving the objects recognized and their position referenced to the user gaze. After a proper power consumption analysis, a wearable solar harvesting system, integrated with the developed AT device, has been designed and tested to extend the energy autonomy in the different operating modes and scenarios. Experimental results obtained with the developed low-cost AT device have demonstrated an accurate and reliable real-time object identification with an 86% correct recognition rate and 215 ms average time interval (in case of high-speed SoM operating mode) for the image processing. The proposed system is capable of recognizing the 91 objects offered by the Microsoft Common Objects in Context (COCO) dataset plus several custom objects and human faces. In addition, a simple and scalable methodology for using image datasets and training of Convolutional Neural Networks (CNNs) is introduced to add objects to the system and increase its repertory. It is also demonstrated that comprehensive trainings involving 100 images per targeted object achieve 89% recognition rates, while fast trainings with only 12 images achieve acceptable recognition rates of 55%.

Sign in / Sign up

Export Citation Format

Share Document