Implementation of delay and power monitoring schemes to reduce the power consumption

2011 ◽  
Author(s):  
T.K. Pavan ◽  
K Jagannadha Naidu ◽  
M Shekar Babu
Keyword(s):  
Power Consumption ◽  
Power Monitoring

Delay and Power Monitoring Schemes for Minimizing Power Consumption by Means of Supply and Threshold Voltage Control in Active and Standby Modes

2006 ◽  
Vol 41 (4) ◽  
pp. 805-814 ◽  
Author(s):  
M. Nomura ◽  
Y. Ikenaga ◽  
K. Takeda ◽  
Y. Nakazawa ◽  
Y. Aimoto ◽  
...  
Keyword(s):  
Power Consumption ◽  
Threshold Voltage ◽  
Voltage Control ◽  
Power Monitoring

Design of Monitoring Battery Solar Power Plant and Load Control System based Internet of Things

Teknik ◽  
2021 ◽  
Vol 42 (1) ◽  
pp. 35-44
Author(s):  
Riza Alfita ◽  
Koko Joni ◽  
Fajar Dwika Darmawan
Keyword(s):  
Control System ◽  
Power Plant ◽  
Internet Of Things ◽  
Power Consumption ◽  
Solar Power ◽  
Load Control ◽  
Average Error ◽  
Solar Power Plant ◽  
Power Monitoring ◽  
Internet Of Things Technology

Internet of Things technology in this research is utilized on solar power plant (Case Study: Electrical Engineering Department of Trunojoyo Madura University) as a battery power monitoring and load control system. All of these systems were built to make it easier for users to manage the power consumption while preventing battery damage so that lifetime can last longer and the use of PLTS than more optimal. All of these systems are designed to use several integrated components with their respective functions, including Raspberry as a data processing, smartphone as an interface, and sensors actuator as input-output. From the results of the monitoring accuracy test, the average error value is 1.56%. After ensuring the system has a high level of accuracy, The charge-discharge test is conducted in real-time for 7 days, which shows that the system works according to the research objectives as evidenced by the nothingness of power consumption exceeding the SOC standard limit battery used by 30%. Meanwhile, for the control system test, the wifi connection has the fastest average delay for 10,30 s, provider A 11,17 s, and provider B 12,60 s.

scholarly journals Profiling Energy Efficiency and Data Communications for Mobile Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Peramanathan Sathyamoorthy ◽  
Edith C.-H. Ngai ◽  
Xiping Hu ◽  
Victor C. M. Leung
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Power Consumption ◽  
Power Management ◽  
Data Storage ◽  
Mobile Internet ◽  
Smart Devices ◽  
Power Monitoring ◽  
Reduce Energy Consumption ◽  
Energy Profiling

This paper proposes a novel power management solution for resource-constrained devices in the context of Internet of Things (IoT). We focus on smartphones in the IoT, as they are getting increasingly popular and equipped with strong sensing capabilities. Smartphones have complex and asynchronous power consumption incurred by heterogeneous components including their on-board sensors. Their interaction with the cloud allows them to offload computation tasks and access remote data storage. In this work, we aim at monitoring the power consumption behaviours of the smartphones, profiling both individual applications and the system as a whole, to make better decisions in power management. We design a cloud orchestration architecture as an epic predictor of behaviours of smart devices by extracting their application characteristics and resource utilization. We design and implement this architecture to perform energy profiling and data analysis on massive data logs. This cloud orchestration architecture coordinates a number of cloud-based services and supports dynamic workflows between service components, which can reduce energy consumption in the energy profiling process itself. Experimental results showed that small portion of applications dominate the energy consumption of smartphones. Heuristic profiling can effectively reduce energy consumption in data logging and communications without scarifying the accuracy of power monitoring.

scholarly journals Implementation of Delay and Power Monitoring Schemes to Reduce the Power Consumption

2011 ◽  
Vol 22 (7) ◽  
pp. 1-7
Author(s):  
Author Pavan.T.K. ◽  
Jagannadha Naidu. K ◽  
Nagaraju. V
Keyword(s):  
Power Consumption ◽  
Power Monitoring

Internet of Things Based Power Monitoring and Theft Detection

2020 ◽  
Vol 17 (9) ◽  
pp. 4179-4182
Author(s):  
A. A. Nithyashree ◽  
M. Y. Chandashwini ◽  
K. V. Suma ◽  
Amruta B. Chougale ◽  
C. Likhitha
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Power Consumption ◽  
Energy Crisis ◽  
Power Monitoring ◽  
Smart Systems ◽  
Sustainable Environment ◽  
Challenging Environment ◽  
Advanced Metering ◽  
Energy Grid

Today, our world is facing a challenging environment everywhere, energy crisis being the most important. The only solution to this is having an applicable system to govern the power usage. Our motivation is to achieve independence, sustainability, reliability, security and quality, in terms of power, keeping aside our huge savings in the longer run. This project aims to deliver solutions to these problems by means of IoT as the means of communication and also attacking numerous other matters that smart systems can contract to avoid redundant losses to the energy suppliers and also contribute towards developing a sustainable environment. In this paper, a sincere attempt has been taken to list out the essentials of “Smart Energy Grid” and to overcome the listed issues and providing an accurate billing to allow the user to analyze their energy consumption without the interception of others. This grid can be implemented in advanced metering that provides an easy way of detecting the theft and monitoring power consumption.

scholarly journals Smart Green House Gas Footprint Display with Integrated Smart Power Monitoring and IoT Actuation

2020 ◽  
Vol 8 (5) ◽  
pp. 1243-1247
Keyword(s):  
Power Consumption ◽  
Temperature Sensor ◽  
Ghg Emissions ◽  
Power Saving ◽  
Time Frame ◽  
Smart Power ◽  
Water Heater ◽  
Power Monitoring ◽  
Electricity Bill ◽  
Lower Temperature

This research paper is about a one-for-all device that has a central synchronization with a Wireless Sensor Network connected to other part of the house. This network can do an all-round power saving and environment awareness tasks. The device takes power consumption readings from the mains, and displays the Greenhouse gas (GHG) emissions and footprint of the users in a particular time frame along with the current electricity bill. The WSN mainly focuses on Kitchen, Bathrooms and AC rooms. A certain toxic amount of Carbon Monoxide gas is produced from burning of stoves in Kitchen. During cooking, a gas sensor (MQ7) is placed in the kitchen measures the amount of different gases, especially CO. Chimney is turned on only when CO reading crosses a certain threshold. In this way, power consumed by chimney can be reduced markedly. Similarly in the water tanks above the house, a water temperature sensor is placed. This sensor allows the intensity of the water heater to be automatically regulated depending on the temperature of water in the tank. If water is already at the user-required temperature, the water heater is adaptively changed to a lower temperature or switched off, so as to consume less power. The third sensor is placed in an AC room. Even the high star-rated ACs are a major concern in power consumption, electricity bill and GHG emissions. Hence the temperature sensor is placed which measures the room temperature and outdoor temperature. If it is cold enough, the AC switches-off, thereby saving unnecessary power consumption.

Compositional Tuning of Negative Differential Resistance in Bulk Silver Iodide Memristor

2020 ◽  
Author(s):  
SMITA GAJANAN NAIK ◽  
Mohammad Hussain Kasim Rabinal
Keyword(s):  
Power Consumption ◽  
Negative Differential Resistance ◽  
Silver Iodide ◽  
Differential Resistance ◽  
Fast Response ◽  
Low Power Consumption ◽  
Switching Effect ◽  
Memory Switching ◽  
Bulk Silver ◽  
Emerging Memory

Electrical memory switching effect has received a great interest to develop emerging memory technology such as memristors. The high density, fast response, multi-bit storage and low power consumption are their...

Optimal design of a high homogeneous and small-size shim coil for atomic spin gyroscope based on 0-1 linear programming

2020 ◽  
Vol 64 (1-4) ◽  
pp. 165-172
Author(s):  
Dongge Deng ◽  
Mingzhi Zhu ◽  
Qiang Shu ◽  
Baoxu Wang ◽  
Fei Yang
Keyword(s):  
Linear Programming ◽  
Power Consumption ◽  
Low Power ◽  
Optimization Design ◽  
Structural Parameters ◽  
Axial Position ◽  
Low Power Consumption ◽  
Optimal Method ◽  
Atomic Spin ◽  
Shim Coil

It is necessary to develop a high homogeneous, low power consumption, high frequency and small-size shim coil for high precision and low-cost atomic spin gyroscope (ASG). To provide the shim coil, a multi-objective optimization design method is proposed. All structural parameters including the wire diameter are optimized. In addition to the homogeneity, the size of optimized coil, especially the axial position and winding number, is restricted to develop the small-size shim coil with low power consumption. The 0-1 linear programming is adopted in the optimal model to conveniently describe winding distributions. The branch and bound algorithm is used to solve this model. Theoretical optimization results show that the homogeneity of the optimized shim coil is several orders of magnitudes better than the same-size solenoid. A simulation experiment is also conducted. Experimental results show that optimization results are verified, and power consumption of the optimized coil is about half of the solenoid when providing the same uniform magnetic field. This indicates that the proposed optimal method is feasible to develop shim coil for ASG.

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