Building DR

Project Status:


Estimating Electricity Demand Flexibility in Buildings for Energy Efficiency and Demand Response Applications

Current Students

Minkyung Kang

Project Description

The continuous growth of electricity usage and number of electricity-powered devices results in exceeding the capacity of local grids. To lower the electricity usage during peak demand periods, utility providers encourage building owners to reduce electricity consumption by incentivizing their demand curtailment through demand response (DR) programs. One of the most essential components to utilize such DR opportunities is a baseline model, which is the estimate of what the load would have been in the absence of curtailment. Since the performance of peak-shaving DR programs is determined by the amount of curtailment during the peak period, it is important to have an accurate baseline to evaluate the DR strategies and estimate the DR savings. Therefore, we are looking for ways to develop robust baseline models for buildings of interest with consideration of their operation schedule, external and internal characteristics of the buildings.

Selected Publications

  1. M. Kang, M. Berg'es, and B. Akinci, "Electric Load Prediction Baselines for Airport Buildings: A Case Study," in Construction Research Congress 2016, 2016, pp. 869-878.
    bibtex Go to Publication
    @inproceedings{kang2016electric, title={Electric Load Prediction Baselines for Airport Buildings: A Case Study},
      author={Kang, Minkyung and Berg{'e}s, Mario and Akinci, Burcu},
      booktitle={Construction Research Congress 2016},
      year={2016} }