scholarly journals A Study of Optimal Energy Consumption Measures for Building Façades with a Parametric Combination of Blinds, Lighting and HVAC Systems

2016 ◽  
Vol 15 (2) ◽  
pp. 319-326
Author(s):  
Keon-ho Lee ◽  
Young-hak Song ◽  
Hwan-yong Kim ◽  
Je-hyeon Lee
Keyword(s):  
Energy Consumption ◽  
Hvac Systems ◽  
Optimal Energy ◽  
Building Facades

scholarly journals Optimal energy consumption and throughput for workflow applications on distributed architectures

2014 ◽  
Vol 4 (1) ◽  
pp. 44-51
Author(s):  
Abdallah Ben Othman ◽  
Jean-Marc Nicod ◽  
Laurent Philippe ◽  
Veronika Rehn-Sonigo
Keyword(s):  
Energy Consumption ◽  
Distributed Architectures ◽  
Optimal Energy

Energy Aware Grid Scheduling for Dependent Task Using Genetic Algorithm

2016 ◽  
Vol 7 (2) ◽  
pp. 18-36
Author(s):  
Shiv Prakash ◽  
Deo Prakash Vidyarthi
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Job Scheduling ◽  
Computing System ◽  
Computational Grid ◽  
Task Execution ◽  
Energy Aware ◽  
Optimal Energy ◽  
Proposed Model ◽  
Dynamic Voltage

Consumption of energy in the large computing system is an important issue not only because energy sources are depleting fast but also due to the deteriorating environmental conditions. A computational grid is a large heterogeneous distributed computing platform which consumes enormous energy in the task execution. Energy-aware job scheduling, in the computational grid, is an important issue that has been addressed in this work. If the tasks are properly scheduled, keeping the optimal energy concern, it is possible to save the energy consumed by the system in the task execution. The prime objective, in this work, is to schedule the dependent tasks of a job, on the grid nodes with optimal energy consumption. Energy consumption is estimated with the help of Dynamic Voltage Frequency Scaling (DVFS). Makespan, while optimizing the energy consumption, is also taken care of in the proposed model. GA is applied for the purpose and therefore the model is named as Energy Aware Genetic Algorithm (EAGA). Performance evaluation of the proposed model is done using GridSim simulator. A comparative study with other existing models viz. min-min and max-min proves the efficacy of the proposed model.

scholarly journals Powertrain Optimization for Electric Buses under Optimal Energy-Efficient Driving

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6451
Author(s):  
Alexander Koch ◽  
Olaf Teichert ◽  
Svenja Kalt ◽  
Aybike Ongel ◽  
Markus Lienkamp
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Energy Savings ◽  
Ride Comfort ◽  
Programming Approach ◽  
Automated Driving ◽  
Dynamic Programming Approach ◽  
Optimal Energy ◽  
Driving Cycles ◽  
Powertrain Configuration

State of the art powertrain optimization compares the energy consumption of different powertrain configurations based on simulations with fixed driving cycles. However, this approach might not be applicable to future vehicles, since speed advisory systems and automated driving functions offer the potential to adapt the speed profile to minimize energy consumption. This study aims to investigate the potential of powertrain optimization with respect to energy consumption under optimal energy-efficient driving for electric buses. The optimal powertrain configurations of the buses under energy-efficient driving and their respective energy consumptions are obtained using powertrain-specific optimized driving cycles and compared with those of human-driven unconnected buses and buses with non-powertrain-specific optimal speed profiles. Based on the results, new trends in the powertrain design of vehicles under energy-efficient driving are derived. The optimized driving cycles are calculated using a dynamic programming approach. The evaluations were based on the fact that the buses under energy-efficient driving operate in dedicated lanes with vehicle-to-infrastructure (V2I) communication while the unconnected buses operate in mixed traffic. The results indicate that deviating from the optimal powertrain configuration does not have a significant effect on energy consumption for optimized speed profiles; however, the energy savings from an optimized powertrain configuration can be significant when ride comfort is considered. The connected buses under energy-efficient driving operating in dedicated lanes may reduce energy consumption by up to 27% compared to human-driven unconnected buses.

Distributed optimal energy consumption control of HEVs under MFG-based speed consensus

2020 ◽  
Vol 18 (2) ◽  
pp. 193-203
Author(s):  
Qiaobin Fu ◽  
Fuguo Xu ◽  
Tielong Shen ◽  
Kenichi Takai
Keyword(s):  
Energy Consumption ◽  
Optimal Energy ◽  
Consumption Control

scholarly journals An Incentive-based Optimal Energy Consumption Scheduling Algorithm for Residential Users

2015 ◽  
Vol 52 ◽  
pp. 851-857 ◽  
Author(s):  
Ihsan Ullah ◽  
Nadeem Javaid ◽  
Zahoor A. Khan ◽  
Umar Qasim ◽  
Zafar A. Khan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Scheduling Algorithm ◽  
Optimal Energy

A New Property of Noninvasive Control Methods Applied to Stabilize Unstable Periodic Orbits

2018 ◽  
Vol 13 (5) ◽  
Author(s):  
Saeed Montazeri ◽  
Ali Rahmani Hanzaki
Keyword(s):  
Energy Consumption ◽  
Periodic Orbits ◽  
Parameter Optimization ◽  
Control Methods ◽  
System State ◽  
Unstable Periodic Orbits ◽  
Optimal Energy

This paper is devoted to present a theorem on a new property of noninvasive control methods applied to stabilize unstable periodic orbits (UPOs). This property is related to the optimal energy consumption of the controller in the presence of noise. The approach of parameter optimization is applied to study optimal energy consumption of the controller. Throughout this paper, the problem of energy consumption of the controller is studied when the system state is close to the UPO, and fluctuates around it because of the presence of noise.

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