Skip to content

Models ~ demandResponse

Kirktj edited this page Sep 16, 2015 · 14 revisions

Introduction

This model takes in historical demand data (hourly for a year) and calculates what demand changes in residential customers could be expected due to demand response programs. Program types the model can calculate are time of use pricing (TOU), peak time rebates (PTR), direct load control (DLC) or critical peak pricing (CPP). These calculations are done using the Brattle Group's PRISM model.

FAQs

  • How are commercial and industrial loads handled? The PRISM model does not support industrial and commercial loads. In general, each C&I load is unique, so modeling them is prone to error unless there is lots of data on their behavior. If you input hourly demand data that includes C&I loads, you can exclude them (approximately) from the analysis by reducing the "Load Managed by the Program" input by the amount that those loads contribute to the data set. The best approach, if detailed metering data is available, is to only input demand data from residential loads.

  • What are good values for the price elasticities? Many studies have been done that estimate elasticities for given circuits/climates/locations. We have collected [some example elasticities here](./images/DR Elasticity Estimates.xlsx).

Clone this wiki locally