This project aims at developing a novel modeling and optimization framework for power-grid-scale emissions. In this project, we will identify the spatial and temporal allocation of carbon emissions associated with power generation, dispatch and consumption. The project will consider real-time operation and long-term planning for emissions, as well as the electricity market design. This analysis will benchmark different carbon accounting schemes. The project will also examine, through theoretic and simulation models, the incentives for sitting and sizing of carbon-free resources and energy storage. The proposed research will help design novel operational and planning schemes for power grids aligned with emission reduction objectives.

We will design computationally efficient approaches for calculating locational average carbon emission (LAE) and locational marginal rate (LME). Both rates have a unit of lbs CO2/MWh. The project benchmarks different carbon accounting schemes to evaluate the emission impacts. Built upon this scheme, the project proposes a greenhouse gas (GHG) reduction plan considering potentials of distributed energy resources and flexible loads in both spatial and temporal dimension.