Rapidly Adaptable Plug-load Simulation for Evaluating Energy Curtailment Strategies

In this paper we demonstrate a proof of concept that quickly linking and modifying parameters of a user based simulation driven by real device audit data is possible. Further, we demonstrate an ability to simulate basic functions and behavior of users and their appliances in an office building and have made a solid case for the continuation of this work into a physical deployment. This framework is being developed specifically to help enable a system of distributed intelligent automated demand response (DIADR), as part of a wall plug-level automation system that is powered by user-driven electronic device ecosystems. The audit, powered by an Android application, is capable of populating a data-model with relevant information about plug load usage in a building. This data-driven inventory of devices, along with live meter feeds, can then be used to power a host of applications, such as automated “energy gateway” control of appliances, visualization for use of occupants, and energy-use guidance for individual users. We describe the mobile auditing application, the simulation setup and preliminary results, and how these will be incorporated into a user-driven system capable of power use reduction during times of extreme peak loads.