Optimized Deployment of Emission Reduction Technologies for Large Fleets

摘要

This research study produced an optimization framework for determining the most efficient emission reduction strategies among vehicles and equipment in a large fleet. The Texas Department of Transportations (TxDOTs) fleet data were utilized to identify the key factors as well as refine and demonstrate the developed framework. TxDOT owns and operates more than 11,000 vehicles, of which approximately 3,200 units are non-road diesel equipment. TxDOT is considering serious actions to reduce emissions from its fleet, especially in designated non-attainment (NA) and near non-attainment (NNA) areas. This project includes a comprehensive literature review, identifies the key parameters affecting the deployment of resources to reduce emissions, and develops a framework for producing an optimal emission reduction strategies deployment plan for a typical large fleet. The capabilities of the proposed framework are demonstrated through a set of five case study scenarios. These scenarios cover a range of location preferences, budget limits, and analysis scales. TxDOTs fleet data were utilized in this effort. The mathematical formulation and optimization modeling is implemented using ILOG CPLEX and Visual C++ platforms.