Electrical vehicles charging and discharging scheduling for the cloud-based energy management service

2019 ◽  
pp. 67-84
Author(s):  
Yu-Wen Chen
Keyword(s):  
Energy Management ◽  
Management Service ◽  
Electrical Vehicles

Selection of mother wavelet and decomposition level for energy management in electrical vehicles including a fuel cell

2015 ◽  
Vol 40 (45) ◽  
pp. 15823-15833 ◽  
Author(s):  
Mona Ibrahim ◽  
Samir Jemei ◽  
Geneviève Wimmer ◽  
Nadia Yousfi Steiner ◽  
Célestin C. Kokonendji ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Energy Management ◽  
Mother Wavelet ◽  
Decomposition Level ◽  
Electrical Vehicles ◽  
Selection Of

Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles

2013 ◽  
Vol 26 (7) ◽  
pp. 1772-1779 ◽  
Author(s):  
Javier Solano Martínez ◽  
Jérôme Mulot ◽  
Fabien Harel ◽  
Daniel Hissel ◽  
Marie-Cécile Péra ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Experimental Validation ◽  
Fuzzy Logic Controller ◽  
Electrical Vehicles

scholarly journals Cost Efficient Real Time Electricity Management Services for Green Community Using Fog

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3164
Author(s):  
Rasool Bukhsh ◽  
Muhammad Umar Javed ◽  
Aisha Fatima ◽  
Nadeem Javaid ◽  
Muhammad Shafiq ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Data Center ◽  
Energy Cost ◽  
Energy Demand ◽  
Data Centers ◽  
Management Service ◽  
Cooling Systems ◽  
Electricity Cost ◽  
Cost Efficient

The computing devices in data centers of cloud and fog remain in continues running cycle to provide services. The long execution state of large number of computing devices consumes a significant amount of power, which emits an equivalent amount of heat in the environment. The performance of the devices is compromised in heating environment. The high powered cooling systems are installed to cool the data centers. Accordingly, data centers demand high electricity for computing devices and cooling systems. Moreover, in Smart Grid (SG) managing energy consumption to reduce the electricity cost for consumers and minimum rely on fossil fuel based power supply (utility) is an interesting domain for researchers. The SG applications are time-sensitive. In this paper, fog based model is proposed for a community to ensure real-time energy management service provision. Three scenarios are implemented to analyze cost efficient energy management for power-users. In first scenario, community’s and fog’s power demand is fulfilled from the utility. In second scenario, community’s Renewable Energy Resources (RES) based Microgrid (MG) is integrated with the utility to meet the demand. In third scenario, the demand is fulfilled by integrating fog’s MG, community’s MG and the utility. In the scenarios, the energy demand of fog is evaluated with proposed mechanism. The required amount of energy to run computing devices against number of requests and amount of power require cooling down the devices are calculated to find energy demand by fog’s data center. The simulations of case studies show that the energy cost to meet the demand of the community and fog’s data center in third scenario is 15.09% and 1.2% more efficient as compared to first and second scenarios, respectively. In this paper, an energy contract is also proposed that ensures the participation of all power generating stakeholders. The results advocate the cost efficiency of proposed contract as compared to third scenario. The integration of RES reduce the energy cost and reduce emission of CO 2 . The simulations for energy management and plots of results are performed in Matlab. The simulation for fog’s resource management, measuring processing, and response time are performed in CloudAnalyst.

Concept of development and implementation of the energy efficiency program of the institution of higher education on the example of Igor Sikorsky Кyiv polytechnic institute

2021 ◽  
pp. 49-62
Author(s):  
O. Shevchenko ◽  
◽  
М. Shovkaliuk ◽  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Management ◽  
Remote Monitoring ◽  
Educational Institution ◽  
Research Work ◽  
Educational Process ◽  
Polytechnic Institute ◽  
Management Service ◽  
The University

The paper presents proposals for the development of programs to improve energy efficiency of educational institutions on the example of Igor Sikorsky Kyiv Polytechnic Institute. The energy management of the university is planned to be carried out through remote monitoring and creation of an automated workplace of the energy manager with integration into the educational process. The aim of the work is to improve innovative management methods of energy management, taking into account the relationship of energy sources, thermal protection of building fences, the parameters of the microclimate of the premises. The facilities, which are on the balance of the university, are a platform for research work, subject to the cooperation of the Energy Management Service with various structural units. As part of the development of the energy efficiency program, a technical and economic analysis of the proposed energy saving measures using engineering calculation methods was performed, as well as experimental measurements were performed. Statistical data processing, methods of grouping, comparison, generalization were used, and for the decision of separate problems modeling in specialized software products was carried out. With the involvement of the scientific potential of the university, a system of remote monitoring based on software is gradually introduced, which includes a geoinformation map of engineering networks and buildings, monitoring of parameters in the premises and an analytical unit with the ability to predict energy consumption. Key words: energy consumption, monitoring, automation, energy efficiency program, educational institution, buildings, thermal modernization

A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles

2012 ◽  
Vol 190 ◽  
pp. 192-207 ◽  
Author(s):  
Javier Solano Martínez ◽  
Robert I. John ◽  
Daniel Hissel ◽  
Marie-Cécile Péra
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Fuzzy Logic System ◽  
Electrical Vehicles ◽  
Logic System
Sign in / Sign up

Export Citation Format

Share Document