No abstract

Electric vehicles (EV) are rapidly increasing in popularity, which is signicantly increasing demand on the distribution infrastructure in the electric grid. This poses a serious problem for the grid, as most distribution transformers were installed during the pre-EV era, and thus were not sized to handle large loads from EVs. In parallel, smart grid technologies have emerged that actively regulate demand to prevent overloading the grid's infrastructure, in particular by optimizing the use of grid-scale energy storage. In this paper, we rst analyze the load on distribution transformers across a small city and study the potential impact of EVs as their penetration levels increase. Our real-world dataset includes the energy demand from 1,353 transformers and charging proles from 91 EVs over a 1 year period, and thus provides an accurate snapshot of the grid's current state, and allows us to examine the potential impact of increasing EV penetrations. We then evaluate the benets of using smart grid technologies, such as smart EV charging and energy storage, to mitigate the eects of increasing the EV-based load.

Since heating buildings using natural gas, propane and oil makes up a significant proportion of the aggregate carbon emissions every year, there is a strong interest in decarbonizing residential heating systems using new technologies such as electric heat pumps. In this poster, we conduct a data-driven optimization study to analyze the potential of replacing gas heating with electric heat pumps to reduce carbon emissions in a city-wide distribution grid. We seek to not only reduce the carbon footprint of residential heating, but also show how to do so equitably. Our results show that lower income homes have an energy usage intensity 24% higher than that of high income ones. We propose equity-aware transition strategies that enforce equity and show that such strategies achieve significant levels of CO 2 reduction while reducing the disparity in value of selected homes by 5× compared to a carbon-first approach. CCS CONCEPTS• Information systems → Data analytics; • Hardware → Impact on the environment; Energy metering.

No abstract

No abstract