Microgrid Environmental Impact
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
11
OpenAIRE Views
4
Publicly Funded
No
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Impulse
Average
Influence
Average
Popularity
Average
Abstract
Power plants have bad impacts on the environment. One of these impacts is Carbon Dioxide (CO2) emission resulted from power plants that depend on fossil fuel, oil and natural gas. Renewable energy is considered as an important solution for this problem since it is classified as clean and environmentally friendly source of energy and helps reducing the dependency on conventional power plants. High renewable energy penetration into power systems is a big challenge that can be solved by deploying the concept of smart Micro-Grids. This paper presents a study on how much reduction of CO2 emission can be resulted from deploying smart micro-grid concept on a university campus, German Jordanian University (GJU) campus was taken as a pilot. The micro-grid is meant to operate according to an optimum resource scheduling framework that guarantee a minimum operational cost while achieving high local power availability. © 2020 Elsevier B.V., All rights reserved.
Description
Bintoudi, Angelina/0000-0002-7890-1541; Onen, Ahmet/0000-0001-7086-5112; Tsolakis, Apostolos C./0000-0003-2606-1402; Tzovaras, Dimitrios/0000-0001-6915-6722
Keywords
CO2 Footprint, Emissions, Micro-Grids, Optimum Scheduling, Renewable Energy, Carbon Dioxide, Electric Power Transmission Networks, Fossil Fuel Power Plants, Fossil Fuels, Microgrids, Natural Gasoline Plants, Renewable Energy Resources, Carbon Dioxide Emissions, Conventional Power Plants, Oil and Natural Gas, Renewable Energies, Renewable Energy Penetrations, Resource Scheduling Framework, Smart Micro Grids, University Campus, Environmental Impact, Micro-grids, Smart Grid Applications, Renewable energy, Microgrid, Environmental economics, Economics, Renewable Energy Integration, Geometry, Smart grid, Environmental science, Engineering, Islanding Detection Methods for Distributed Generations, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Engineering, Demand Response in Smart Grids, Electrical and Electronic Engineering, Microgrid Protection, Grid, Waste management, Biology, Ecology, Environmentally friendly, Fossil fuel, Computer science, Optimum scheduling, Emissions, Control and Systems Engineering, Electrical engineering, FOS: Biological sciences, Physical Sciences, Renewable resource, Control and Synchronization in Microgrid Systems, Distributed generation, CO2 footprint, Mathematics
Turkish CoHE Thesis Center URL
Fields of Science
0211 other engineering and technologies, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
N/A
Scopus Q
N/A
OpenCitations Citation Count
N/A
Source
-- 6th IEEE International Energy Conference, ENERGYCon 2020 -- Virtual, Gammarth, Tunis -- 164773
Volume
Issue
Start Page
674
End Page
677
PlumX Metrics
Citations
Scopus : 1
Captures
Mendeley Readers : 7
SCOPUS™ Citations
1
checked on Feb 04, 2026
Web of Science™ Citations
1
checked on Feb 04, 2026
Page Views
4
checked on Feb 04, 2026
Google Scholar™
OpenAlex FWCI
0.0
Sustainable Development Goals
7
AFFORDABLE AND CLEAN ENERGY
13
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