Group for Research in Decision Analysis

G-2017-15

Collaborative demand-response planner for smart buildings

and

This work presents a collaborative scheme for the end-users in a smart building with multiple housing units. This approach determines a day-ahead operational plan that provides demand-response services by taking into account the amount of energy consumed per household, the use of storage and solar panels, and the amount of shifted load. We use a biobjective optimization model to trade off total user satisfaction versus total cost of energy consumption. The optimization works in combination with a novel cost structure based on time and level of use that encourages load shifting and benefits the participants. Experimental results and a sensitivity analysis validate the performance of the proposed approach and help to clarify its strengths, its limits, and the requirements for ensuring the desired outcome.

, 18 pages