Andre Nandi
Pronouns: he/him
Research Mentor(s): Michael Craig
Co-Presenter:
Research Mentor School/College/Department: SEAS / SNRE
Presentation Date: April 20
Presentation Type: Poster
Session: Session 3 – 1:40pm – 2:30 pm
Room: League Ballroom
Authors: Andre Nandi
Presenter: 86
Abstract
With vast research on climate change, trends in building electrification, and energy demand modeling, this project seeks to combine these three in order to understand and simulate the impacts both residential building electrification and climate change have on future electricity demand profiles and creating new types of peak demand events. This overall project is split into 5 objectives: 1. Use a Reduced-Complexity Building Model (RCBM) to generate bottom-up estimates of residential building demand (this takes environmental and building characteristics to estimate residential building demand) 2. Create a Top-Down Regression Model for non-residential demand (create predictions of energy demand for non-residential buildings from historical system demand data and ambient air temperature) 3. Apply coupled framework to electrification and climate change scenarios (Understand how different climate scenarios and different rates of electrification impact energy demand over time) 4. Quantify demand and energy burden impacts of electrification and climate change 5. Disseminate results through peer-reviewed publications and policy briefs While the model is still being developed, we expect to see an overall increase in annual energy consumption, with a decrease in the winters and a larger increase in the summers. We expect to see an increase in the probability of higher peak demands. Once this model is complete, these results will play a big role in policymakers and system planners because we will have a greater understanding of how our electricity demand changes over time and we can develop more effective ways to minimize consumption.
Environmental Studies
