Load controllability evaluation modeling for demand response potential estimation

Yutaka Iino*, Tsutomu Fujikawa, Saori Kaneko, Gaku Shimoda, Kazuto Kataoka, Kazuhiko Ogimoto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Demand response (DR) is a key technology for the smart grid, and to manage and optimize DR of energy consumers, accurate prediction of DR potential in each energy consumers is required. In this paper we focus on building and its facilities as the target of DR, and propose a general physical energy modeling procedure to estimate the DR potentials. First an energy model based on the thermal load model is estimated from restricted basic information of the target building. Then the model parameter, especially performance of HVAC facilities, is adjusted by decomposition of modeling error caused by operation and structure of the building. The modeling procedure is applied to an actual building, and the estimation of DR potential is compared with actual DR experiment.

Original languageEnglish
Pages (from-to)372-380
Number of pages9
JournalIEEJ Transactions on Power and Energy
Volume137
Issue number5
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • Building performance
  • Demand response
  • Facility performance
  • Load control margin
  • Operation performance
  • Thermal load model

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Load controllability evaluation modeling for demand response potential estimation'. Together they form a unique fingerprint.

Cite this