A New Approach for Buffering Space in Scheduling Unknown Service Time Jobs in a Computational Cluster with Awareness of Performance and Energy Consumption

2014 ◽  
pp. 129-139
Author(s):  
Xuan T. Tran ◽  
Binh T. Vu
Keyword(s):  
Energy Consumption ◽  
Service Time ◽  
New Approach ◽  
Computational Cluster

Energy Consumption in Discrete Part Production

2011 ◽  
Author(s):  
Devi K. Kalla ◽  
Samantha Corcoran ◽  
Janet Twomey ◽  
Michael Overcash
Keyword(s):  
Energy Consumption ◽  
Life Cycles ◽  
Manufacturing Processes ◽  
New Approach ◽  
Energy Data ◽  
Important Improvement ◽  
Drilling Unit ◽  
Cradle To Gate ◽  
Discrete Part ◽  
Manufacturing Machine

It is widely recognized that industrial production inevitably results in an environmental impact. Energy consumption during production is responsible for a part of this impact, but is often not provided in cradle-to-gate life cycles. Transparent description of the transformation of materials, parts, and chemicals into products is described herein as a means to improve the environmental profile of products and manufacturing machine. This paper focuses on manufacturing energy and chemicals/materials required at the machine level and provides a methodology to quantify the energy consumed and mass loss for simple products in a manufacturing setting. That energy data are then used to validate the new approach proposed by (Overcash et.al, 2009a, and 2009b) for drilling unit processes. The approach uses manufacturing unit processes as the basis for evaluating environmental impacts at the manufacturing phase of a product’s life cycle. Examining manufacturing processes at the machine level creates an important improvement in transparency which aids review and improvement analyses.

A new approach to analyse conditional demand: An application to Australian energy consumption

2021 ◽  
Vol 93 ◽  
pp. 105037
Author(s):  
Saroja Selvanathan ◽  
E.A. Selvanathan ◽  
Maneka Jayasinghe
Keyword(s):  
Energy Consumption ◽  
New Approach

Estimation of Service Life of Mechanical Engineering Components

2019 ◽  
Vol 799 ◽  
pp. 71-76
Author(s):  
Oskars Linins ◽  
Ernests Jansons ◽  
Armands Leitans ◽  
Irina Boiko ◽  
Janis Lungevics
Keyword(s):  
Service Life ◽  
Service Time ◽  
Surface Texture ◽  
Mechanical Engineering ◽  
Friction Pair ◽  
Theory Of Elasticity ◽  
New Approach ◽  
Material Fatigue ◽  
Texture Parameters ◽  
3D Surface Texture

The paper is aimed to the methodology for estimation of service life of mechanical engineering components in the case of elastic-plastic contact of surfaces. Well-known calculation methods depending on physics, theory of probability, the analysis of friction pair’ shape and fit include a number of parameters that are difficult or even impossible to be technologically controlled in the manufacturing of mechanical engineering components. The new approach for wear rate estimation using surface texture parameters as well as physical-mechanical properties and geometric parameters of components is proposed. The theoretical part of the calculations is based on the 3D surface texture principles, the basics of material fatigue theory, the theory of elasticity and the contact mechanics of surfaces. It is possible to calculate the service time of the machine, but the process of running-in of the components is relatively short (less than 5%), therefore, the service time is mainly determined by a normal operating period, which also was used to evaluate this period. The calculated input parameters are technologically and metrologically available and new method for calculating the service time can be used in the design process of the equipment. The results of approbation of the method for estimation service time of mechanical engineering, which prove the applicability of mentioned method, are offered as well.

Green DRCT

2017 ◽  
Vol 7 (1) ◽  
pp. 14-29
Author(s):  
Sangharatna Godboley ◽  
Arpita Dutta ◽  
Durga Prasad Mohapatra
Keyword(s):  
Energy Consumption ◽  
Software Testing ◽  
Transformation Method ◽  
New Approach ◽  
Code Coverage ◽  
Coverage Metrics ◽  
Branch Coverage ◽  
Concolic Testing ◽  
Green Software ◽  
Environment Sustainability

Being a good software testing engineer, one should have the responsibility towards environment sustainability. By using green principles and regulations, we can perform Green Software Testing. In this paper, we present a new approach to enhance Branch Coverage and Modified Condition/Decision Coverage uses concolic testing. We have proposed a novel transformation technique to improve these code coverage metrics. We have named this new transformation method Double Refined Code Transformer (DRCT). Then, using JoulMeter, we compute the power consumption and energy consumption in this testing process. We have developed a tool named Green-DRCT to measure energy consumption while performing the testing process.

scholarly journals A New Approach of EV Modeling and its Control Applications to Reduce Energy Consumption

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 141209-141225 ◽  
Author(s):  
Rina Ristiana ◽  
Arief Syaichu Rohman ◽  
Carmadi Machbub ◽  
Agus Purwadi ◽  
Estiko Rijanto
Keyword(s):  
Energy Consumption ◽  
Control Applications ◽  
New Approach ◽  
Reduce Energy Consumption

scholarly journals Enhancement of energy consumption estimation for electric vehicles by using machine learning

2021 ◽  
Vol 10 (1) ◽  
pp. 215
Author(s):  
Adnane Cabani ◽  
Peiwen Zhang ◽  
Redouane Khemmar ◽  
Jin Xu
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Electric Vehicles ◽  
Optimal Path ◽  
Influence Factors ◽  
Air Conditioner ◽  
Driver Behaviour ◽  
Variable Parameters ◽  
New Approach

<p>Three main classes are considered of significant influence factors when predicting the energy consumption rate of electric vehicles (EV): environment, driver behaviour, and vehicle. These classes take into account constant or variable parameters which influences the energy consumption of the EV. In this paper, we develop a new model taking into account the three classes as well as the interaction between them in order to improve the quality of EV energy consumption. The model depends on a new approach based on machine learning and especially k-NN algorithm in order to estimate the EV energy consumption. Following a lazy learning paradigm, this approach allows better estimation performance. The advantage of our proposal, in regards to mathematical approach, is taking into account the real situation of the ecosystem on the basis of historical data. In fact, the behavior of the driver (driving style, heating usage, air conditioner usage, battery state, etc.) impacts directly the EV energy consumption. The obtained results show that we can reach up to 96.5% of accuracy about the estimated of energy-consumption. The proposed method is used in order to find the optimal path between two points (departure-destination) in terms of energy consumption.</p>

scholarly journals A new approach to the fabrication of VO2 nanoswitches with ultra-low energy consumption

Nanoscale ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 3443-3454
Author(s):  
Victor Ya. Prinz ◽  
Sergey V. Mutilin ◽  
Lyubov V. Yakovkina ◽  
Anton K. Gutakovskii ◽  
Alexander I. Komonov
Keyword(s):  
Energy Consumption ◽  
Single Crystals ◽  
High Stability ◽  
Low Energy ◽  
New Approach ◽  
Low Energy Consumption

The use of VO2 single crystals with embedded nanotips leads to the 4.2 fJ energy consumption per switching and ensures a high stability and endurance of the nanoswitches.

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