Light-duty electric vehicles to improve the integrity of the electricity grid through Vehicle-to-Grid technology: Analysis of regional net revenue and emissions savings

Applied Energy

Volumn 168, Issue , 2016, Pages 146-158

  Noori, Mehdi ^a   Zhao, Yang ^a   Onat, Nuri C ^b   Gardner, Stephanie ^c   Tatari, Omer ^a  

^a University of Central Florida   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c VERMONT LAW SCHOOL   (United States)

Author keywords

Agent Based Modeling; Emissions; Exploratory Modeling and Analysis; Net revenue; Planning and forecasting; Vehicle to Grid

Indexed keywords

AUTONOMOUS AGENTS; BATTERY ELECTRIC VEHICLES; CHARGING (BATTERIES); COMPUTATIONAL METHODS; CRASHWORTHINESS; ELECTRIC BATTERIES; ELECTRIC ENERGY STORAGE; ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC UTILITIES; ELECTRIC VEHICLES; GAS EMISSIONS; GAS TURBINES; GRID COMPUTING; LIFE CYCLE; PARTICULATE EMISSIONS; TURBOGENERATORS; UNCERTAINTY ANALYSIS; VEHICLES;

AGENT-BASED MODEL; ELECTRIC POWER DEMANDS; INDEPENDENT SYSTEM OPERATORS; LIFE CYCLE EMISSIONS; MODEL AND ANALYSIS; NET REVENUE; REGULATION SERVICES; VEHICLE TO GRIDS;

SECONDARY BATTERIES;

ELECTRIC VEHICLE; ELECTRICAL POWER; FORECASTING METHOD; INDUSTRIAL EMISSION; NUMERICAL MODEL; PLANNING METHOD; TECHNOLOGICAL DEVELOPMENT; TURBINE;

NEW YORK [UNITED STATES]; UNITED STATES;

EID: 84957088452     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.01.030     Document Type: Article

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