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.

scholarly journals Design of Smart Power-Saving Architecture for Network on Chip

VLSI Design ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Trong-Yen Lee ◽  
Chi-Han Huang
Keyword(s):  
Power Consumption ◽  
Power Saving ◽  
Network On Chip ◽  
Low Power Consumption ◽  
Data Loss ◽  
Smart Power ◽  
Low Area ◽  
Virtual Channels ◽  
On Chip ◽  
Data Transferring

In network-on-chip (NoC), the data transferring by virtual channels can avoid the issue of data loss and deadlock. Many virtual channels on one input or output port in router are included. However, the router includes five I/O ports, and then the power issue is very important in virtual channels. In this paper, a novel architecture, namely, Smart Power-Saving (SPS), for low power consumption and low area in virtual channels of NoC is proposed. The SPS architecture can accord different environmental factors to dynamically save power and optimization area in NoC. Comparison with related works, the new proposed method reduces 37.31%, 45.79%, and 19.26% on power consumption and reduces 49.4%, 25.5% and 14.4% on area, respectively.

Water Temperature Control Using PID Control System Based on LabVIEW

2016 ◽  
Vol 4 (2) ◽  
pp. 35-46
Author(s):  
Ari Ramadhani
Keyword(s):  
Water Temperature ◽  
Pid Control ◽  
Temperature Sensor ◽  
Pid Controller ◽  
Current Flow ◽  
Electrical Energy ◽  
Heating Process ◽  
Water Heater ◽  
Digital Thermometer ◽  
Flow Through

Abstract - Automatic system have grown widespread across all sector so do water heater. Traditionally, heating water is done by utilizing fire as heat source. As the growing of technology, the heating process could be done by manipulating electrical energy by convert it to heat. Electrical energy is flown to a metal rod that contact directly with the water which increase the water temperature. On some case, appropiate water temperature is needed. Altough, a thermometer is needed to read the actual temperature as a feedback value for the system and a system that can control the electricity current flow through the heater that the heat produced is linear to the current flow. With implementing microcontroller as a process node for generating PWM signal, this problem can be solved. Also, Labview is needed as an interface for monitoring and bursting an output which have been processed by Proportional, Integral, and Devivative (PID) controller to producing accurate and stable heat. Based on the results of testing, the system is able to provide a rapid response to any changes that occur, both changes in set-point and changes in water temperature (actual value). Another test is done by comparing the temperature value detected by the temperature sensor in this device with an external digital thermometer placed in the same place, and from some of the tests the temperature value detected by the temperature sensor in this device has a difference of ± 0.19 ℃ with a digital thermometer. Keyword : Water Heater, Thermometer, Microcontroller, LabView, PID.

scholarly journals Toward Green Sensor Field by Optimizing Power Efficiency Using D-Policy M/G/1 Queuing Systems

2013 ◽  
Vol 9 (3) ◽  
pp. 241-260 ◽  
Author(s):  
Fuu-Cheng Jiang ◽  
Hsiang-Wei Wu ◽  
Fang-Yi Leu ◽  
Chao-Tung Yang
Keyword(s):  
Sensor Networks ◽  
Power Consumption ◽  
Power Efficiency ◽  
Ieee 802.15.4 ◽  
Power Saving ◽  
Rechargeable Batteries ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Mathematical Framework ◽  
Sensor Field

Power efficiency is a crucially important issue in the IEEE 802.15.4/ZigBee sensor networks (ZSNs) for majority of sensor nodes equipped with non-rechargeable batteries. To increase the lifetime of sensor networks, each node must optimize power consumption as possible. Among open literatures, much research works have focused on how to optimally increase the probability of sleeping states using multifarious wake-up strategies. Making things different, in this article, we propose a novel optimization framework for alleviating power consumption of sensor node with the D-policy M/G/1 queuing approach. Toward green sensor field, the proposed power-saving technique can be applied to prolong the lifetime of ZSN economically and effectively. For the proposed data aggregation model, mathematical framework on performance measures has been formulated. Data simulation using MATLAB tool has been conducted for exploring the feasibility of the proposed approach. And also we analyze the average traffic load per node for tree-based ZSN. Focusing on ZigBee routers deployed at the innermost shell of ZSN, network simulation results validate that the proposed approach indeed provides a feasibly cost-effective approach for prolonging lifetime of ZSNs.

scholarly journals Smart Power Electronics–Based Solutions to Interface Solar-Photovoltaics (PV), Smart Grid, and Electrified Transportation: State-of-the-Art and Future Prospects

2020 ◽  
Vol 10 (14) ◽  
pp. 4988
Author(s):  
Sandra Aragon-Aviles ◽  
Ashutosh Trivedi ◽  
Sheldon S. Williamson
Keyword(s):  
Smart Grid ◽  
Power Electronics ◽  
Electric Vehicles ◽  
Fossil Fuels ◽  
Ghg Emissions ◽  
Transport Sector ◽  
Smart Power ◽  
Pv Systems ◽  
The Future ◽  
Transportation Electrification

The need to reduce the use of fossil fuels and greenhouse gas (GHG) emissions produced by the transport sector has generated a clear increasing trend in transportation electrification and the future of energy and mobility. This paper reviews the current research trends and future work for power electronics-based solutions that support the integration of photovoltaic (PV) energy sources and smart grid with charging systems for electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEV). A compressive overview of isolated and non-isolated DC–DC converters and AC–DC converter topologies used to interface the PV-grid charging facilities is presented. Furthermore, this paper reviews the modes of operation of the system currently used. Finally, this paper explores the future roadmap of research for power electronics solutions related to photovoltaic (PV) systems, smart grid, and transportation electrification.

Optimizing Power Consumption for the Wireless Sensor Node

2015 ◽  
Vol 738-739 ◽  
pp. 107-110
Author(s):  
Hui Lin
Keyword(s):  
Power Consumption ◽  
Radio Frequency ◽  
Power Saving ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Cycle Times ◽  
Current Consumption ◽  
Saving Effect

A Wireless Sensor Network is composed of sensor nodes powered by batteries. Thus, power consumption is the major challenge. In spite of so many research works discussing this issue from the aspects of network optimization and system design, so far not so many focus on optimizing power consumption of the Radio Frequency device, which consumes most of the energy. This paper describes the digital features of the Radio Frequency device used to optimize current consumption, and presents a practical approach to measure current consumption in static and dynamic scenarios in details, by which we evaluates the power saving effect. The results demonstrated that according to cycle times and application characteristics choosing appropriate features can prolong the lifetime of wireless sensor nodes.

scholarly journals Power Saving Proxies for Web Servers

2019 ◽  
Vol 63 (2) ◽  
pp. 179-192
Author(s):  
Karl J O’Dwyer ◽  
Eoin Creedon ◽  
Mark Purcell ◽  
David Malone
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Embedded System ◽  
Power Saving ◽  
Web Servers ◽  
Small Energy ◽  
Significant Percentage ◽  
Improve Energy Efficiency ◽  
Data Centre ◽  
Energy Footprint

Abstract Electricity is a major cost in running a data centre, and servers are responsible for a significant percentage of the power consumption. Given the widespread use of HTTP, both as a service and a component of other services, it is worthwhile reducing the power consumption of web servers. In this paper we consider how reverse proxies, commonly used to improve the performance of web servers, might be used to improve energy efficiency. We suggest that when demand on a server is low, it may be possible to switch off servers. In their absence, an embedded system with a small energy footprint could act as a reverse proxy serving commonly-requested content. When new content is required, the reverse proxy can power on the servers to meet this new load. Our results indicate that even with a modest server, we can get a 25% power saving while maintaining acceptable performance.

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