Estimation of emissions and energy consumption using MOVES (Motor Vehicle Emission Simulator) model is cumbersome for large-scale network and intractable for real-time analysis and control purposes
This project presents the Fuel and Emissions Calculator (FEC), an operating-mode-based, life-cycle energy and emissions modeling tool developed by Georgia Institute of Technology researchers.
This study aims to identify the differential oxidation pathways for biodiesel prepared from virgin soybean feedstock to that of recycled waste vegetable oil given that feedstock choice and processing are significant parts of the fuel’s lifecycle analysis.
This project will focus on electric vehicle integration into the smart grid through covering the following topics: 1) A centralized optimization approach for integrated distributed energy
This project applies a life cycle analysis to light-duty vehicle greenhouse gas emissions, and uses the results to inform emissions reduction policies.
The proposed research aims to develop quantitative understanding of the relationships between hybrid system energy management and emissions for a hybrid electric vehicle passenger car.
This project is aimed to develop a deep reinforcement learning based smart charging technology for multiple chargers at the University of California, Riverside.
The objective of this project is to demonstrate an aftermarket “retrofit kit” for small (10-30kW) diesel generators, capable of capturing particulate matter (PM) emissions (i.e., soot) to levels be
