scholarly journals Influence of Chain Sharpness, Tension Adjustment and Type of Electric Chainsaw on Energy Consumption and Cross-Cutting Time

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1017
Author(s):  
Anton Poje ◽  
Matevž Mihelič
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Working Conditions ◽  
Electricity Consumption ◽  
Factorial Experiment ◽  
Lower Efficiency ◽  
Average Efficiency ◽  
Two Factors ◽  
Rotation Energy ◽  
Engine Power

Recently, electrical cordless chainsaws were introduced, which provide less harmful working conditions for the operators, and should therefore be deployed as much as possible in all non-professional and professional applications. The low power of the electric engines may result in lower efficiency and higher energy consumption in the case of over-tensioned chains, due to increased friction between the saw and the chain. Therefore, a partial factorial experiment with one factor on three levels (saw type) and two factors on two levels was designed, whereby a wooden beam was cross-cut at two levels of chain sharpness and tension. The time of cross-cutting and energy consumption were controlled. The chain tension does not have a significant effect onto time of cross cutting, or electricity consumption. Both have cross-cutting and energy consumption have been found to differ significantly when comparing the saws used in the experiment. The average efficiency of cross cutting using electrical chainsaws reported is 2.35 times lower than when using petrol powered saws. The lower efficiency is caused by the lower engine power of electrical saws, and lower speed of chain rotation. Energy consumption and time of cross cutting are significantly higher when using a blunt chain, with large differences in time of cross cutting and electricity consumption, making the chain sharpness the most important of all controlled factors. In the study, we did not find evidence that over tensioning of the chain increases the time of cross cutting or energy consumption, however the integration of such systems is recommended because of the worker’s safety.

scholarly journals Research on Establishment of Vehicle Energy Distribution Model and Energy Consumption Optimization Based on Electric Hybrid System

2021 ◽  
Vol 12 (4) ◽  
pp. 213
Author(s):  
Peng Liang ◽  
Huatuo He ◽  
Huafang Cui ◽  
Minglang Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Distribution ◽  
Working Conditions ◽  
Hybrid System ◽  
Control Strategy ◽  
Optimization Method ◽  
Distribution Model ◽  
Average Efficiency ◽  
Energy Consumption Analysis ◽  
Energy Consumption Optimization

In order to improve the adaptability and accuracy of the system average efficiency model in energy consumption analysis of working conditions, this paper presents a vehicle energy distribution model based on the layout and powertrain operation features of the electric hybrid system, and presents a vehicle energy consumption optimization method for control strategy and hardware quality optimization based on the guidance of the energy distribution model.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

scholarly journals Temperature Effects on Electricity and Gas Consumption: Empirical Evidence from Mexico and Projections under Future Climate Conditions

2020 ◽  
Vol 13 (1) ◽  
pp. 305
Author(s):  
W.J. Wouter Botzen ◽  
Tim Nees ◽  
Francisco Estrada
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Fixed Effects ◽  
Electricity Consumption ◽  
Energy Transition ◽  
Net Energy ◽  
Economic Costs ◽  
Climate Conditions ◽  
Linear Relationships ◽  
Gas Consumption

Fixed effects panel models are used to estimate how the electricity and gas consumption of various sectors and residents relate to temperature in Mexico, while controlling for the effects of income, manufacturing output per capita, electricity and gas prices and household size. We find non-linear relationships between energy consumption and temperature, which are heterogeneous per state. Electricity consumption increases with temperature, and this effect is stronger in warm states. Liquified petroleum gas consumption declines with temperature, and this effect is slightly stronger in cold states. Extrapolations of electricity and gas consumption under a high warming scenario reveal that electricity consumption by the end of the century for Mexico increases by 12%, while gas consumption declines with 10%, resulting in substantial net economic costs of 43 billion pesos per year. The increase in net energy consumption implies greater efforts to comply with the mitigation commitments of Mexico and requires a much faster energy transition and substantial improvements in energy efficiency. The results suggest that challenges posed by climate change also provide important opportunities for advancing social sustainability goals and the 2030 Agenda for Sustainable Development. This study is part of Mexico’s Sixth National Communication to the United Nations Framework Convention on Climate Change.

scholarly journals Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Building Energy ◽  
Major Effect ◽  
Measuring Instruments ◽  
Building Energy Consumption

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

INTRA-APPLICATION ENERGY REDUCTION FOR MICROPROCESSOR LOW-POWER DESIGN

2009 ◽  
Vol 18 (01) ◽  
pp. 181-198 ◽  
Author(s):  
XIAO XIN XIA ◽  
TENG TIOW TAY
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Sampling Method ◽  
Energy Savings ◽  
Low Power Design ◽  
Energy Reduction ◽  
Software Optimization ◽  
Application Identification ◽  
Instructions Per Cycle ◽  
Important Design

Energy consumption is one of the most important design constraints for modern microprocessors, and designers have proposed many energy-saving techniques. Looking beyond the traditional hardware low-power designs, software optimization is becoming a significant strategy for the microprocessor to lower its energy consumption. This paper describes an intra-application identification and reconfiguration mechanism for microprocessor energy reduction. Our mechanism employs a statistical sampling method during training runs to identify code sections among application that have appropriate IPC (Instructions per Cycle) values and could make contributions to program runtime energy reduction, and then profiles them to dynamically scale the voltage and frequency of the microprocessor at appropriate points during execution. In our simulation, our approach achieves energy savings by an average of 39% with minor performance degradation, compared to a processor running at a fixed voltage and speed.

Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

2017 ◽  
Vol 31 (34) ◽  
pp. 1750324 ◽  
Author(s):  
Hong Xiao ◽  
Hai-Jun Huang ◽  
Tie-Qiao Tang
Keyword(s):  
Energy Consumption ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Traffic Flow ◽  
Small Perturbation ◽  
Electric Vehicles ◽  
Electricity Consumption ◽  
Heterogeneous Traffic ◽  
Rarefaction Waves ◽  
Fuel Consumption And Emissions

Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

scholarly journals Analysis of Energy System in Norway with Focus on Energy Consumption Prediction

2017 ◽  
Vol 9 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Maryam Hamlehdar ◽  
Alireza Aslani
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy System ◽  
High Energy ◽  
Regression Result ◽  
Industry Growth ◽  
The Status

Abstract Today, the fossil fuels have dominant share of energy supply in order to respond to the high energy demand in the world. Norway is one of the countries with rich sources of fossil fuels and renewable energy sources. The current work is to investigate on the status of energy demand in Norway. First, energy and electricity consumption in various sectors, including industrial, residential are calculated. Then, energy demand in Norway is forecasted by using available tools. After that, the relationship between energy consumption in Norway with Basic economics parameters such as GDP, population and industry growth rate has determined by using linear regression model. Finally, the regression result shows a low correlation between variables.

scholarly journals Ranking based RPL for Multipoint-to-Point Multi-modal Data Communication in IoT Network.

2021 ◽  
Author(s):  
Archana Bhat ◽  
Geetha V
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Routing Protocol ◽  
Data Communication ◽  
Sensor Data ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Modal Data ◽  
Scheduling Strategy ◽  
Scalar Data

Abstract IPv6 Routing Protocol for low power and lossy networks (RPL) is a standardized and default routing protocol for low power lossy networks. However, this is basically designed for sensor networks with scalar data and not optimised for the networks with multi-modal sensors. The data rate of each multi-modal sensor varies based on various applications. RPL suffers from packet drops and re-transmissions which results in packet loss and energy consumption in case of multi-modal data transmission. Hence, the routing strategy implemented in RPL needs better scheduling strategy at parent node for forwarding packets based on various parameters. In this paper, relevant Objective Functions for multi-modal sensor data communication is proposed based on various parameters identified and a weighted ranking based scheduling strategy is proposed for multi-modal data communication called R-RPL. The goal of proposed ranking based RPL (R-RPL) is to increase the throughput and reduce the loss in terms of energy and delay based on proposed scheduling strategy for parent selection. The performance of the proposed R-RPL is evaluated in the contiki based Cooja simulator and compared with RPL protocol. The analysis shows that the R-RPL performs better compared to RPL with respect to packet delivery ratio and energy consumption.

scholarly journals Sistema Open-Source de Monitoramento do Consumo de Energia Elétrica

2020 ◽  
Author(s):  
Felipe Przysiada† ◽  
Diego Merks ◽  
Eduardo Silva ◽  
Alessandro Brawerman
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Electricity Consumption ◽  
User Profile ◽  
End User ◽  
Hydroelectric Plants ◽  
The Cost ◽  
Monitoring Devices ◽  
Generating System ◽  
Monthly Survey

The cost of electricity in Brazilian homes is increasingly high. This project consists of bringing a complete and easily accessible solution aiming to benefit the economy, in a much broader way, both for the end user and for the electricity generating system, which today has difficulty in meeting demand, as well as it provides a reduction in the environmental impact caused by the constant expansion of hydroelectric plants and other sources of energy. The use of this system, the Electricity Consumption Monitoring System, allows the user to have control of each equipment installed in the premises. The equipment in monitored by a device designed and built in this project. From these monitoring devices, which perform periodic measurements, it is possible to make a daily, weekly or monthly survey of the consumption of each equipment in the residence, sending alert messages, for excessive energy consumption, thus defining a user profile and even creating limitations for monthly spending. With this, the user will have the necessary resources to manage their energy consumption over the days, without having surprises at the end of the month.

Sign in / Sign up

Export Citation Format

Share Document