Energy Demand Model for Residential Sector: A First Principles Approach

Rajesh Subbiah, Anamitra Pal, Eric K. Nordberg, Achla Marathe, Madhav V. Marathe

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

According to the U.S. Energy Information Administration (EIA), the residential sector accounts for one-third of the country's energy consumption. This number is steadily increasing, posing a challenge to energy regulators as well as suppliers. To manage the growing demand for energy, there is a need for energy system optimization, especially on the demand side. This paper uses a first principles approach to build a high-resolution energy demand model, which can be used as a test bed by academicians as well as policy makers for performing such optimizations. This framework generates activity-based, building-level, time-dependent demand profiles. The model associates appliance usage with each household activity and calculates energy consumption based on the appliance energy rating, the duration of the energy consuming activity, and the type of activity performed by each household member. It also accounts for shared activities among household members to avoid double counting. Additionally, passive energy consumptions such as space heating/cooling, lighting, etc., are measured. Finally, validation of the results obtained by this model against real-world data for Virginia is carried out. The results indicate that the modeling framework is robust and can be extended to other parts of the U.S. and beyond.

Original languageEnglish (US)
Article number7857082
Pages (from-to)1215-1224
Number of pages10
JournalIEEE Transactions on Sustainable Energy
Volume8
Issue number3
DOIs
StatePublished - Jul 1 2017

Fingerprint

Energy utilization
Space heating
Lighting
Cooling

Keywords

  • Activity-based
  • appliance usage
  • energy demand
  • energy rating
  • residential
  • shared activity

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Energy Demand Model for Residential Sector : A First Principles Approach. / Subbiah, Rajesh; Pal, Anamitra; Nordberg, Eric K.; Marathe, Achla; Marathe, Madhav V.

In: IEEE Transactions on Sustainable Energy, Vol. 8, No. 3, 7857082, 01.07.2017, p. 1215-1224.

Research output: Contribution to journalArticle

Subbiah, Rajesh ; Pal, Anamitra ; Nordberg, Eric K. ; Marathe, Achla ; Marathe, Madhav V. / Energy Demand Model for Residential Sector : A First Principles Approach. In: IEEE Transactions on Sustainable Energy. 2017 ; Vol. 8, No. 3. pp. 1215-1224.
@article{766bbb1aa6514d2b9af0b6a4df7e3084,
title = "Energy Demand Model for Residential Sector: A First Principles Approach",
abstract = "According to the U.S. Energy Information Administration (EIA), the residential sector accounts for one-third of the country's energy consumption. This number is steadily increasing, posing a challenge to energy regulators as well as suppliers. To manage the growing demand for energy, there is a need for energy system optimization, especially on the demand side. This paper uses a first principles approach to build a high-resolution energy demand model, which can be used as a test bed by academicians as well as policy makers for performing such optimizations. This framework generates activity-based, building-level, time-dependent demand profiles. The model associates appliance usage with each household activity and calculates energy consumption based on the appliance energy rating, the duration of the energy consuming activity, and the type of activity performed by each household member. It also accounts for shared activities among household members to avoid double counting. Additionally, passive energy consumptions such as space heating/cooling, lighting, etc., are measured. Finally, validation of the results obtained by this model against real-world data for Virginia is carried out. The results indicate that the modeling framework is robust and can be extended to other parts of the U.S. and beyond.",
keywords = "Activity-based, appliance usage, energy demand, energy rating, residential, shared activity",
author = "Rajesh Subbiah and Anamitra Pal and Nordberg, {Eric K.} and Achla Marathe and Marathe, {Madhav V.}",
year = "2017",
month = "7",
day = "1",
doi = "10.1109/TSTE.2017.2669990",
language = "English (US)",
volume = "8",
pages = "1215--1224",
journal = "IEEE Transactions on Sustainable Energy",
issn = "1949-3029",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

TY - JOUR

T1 - Energy Demand Model for Residential Sector

T2 - A First Principles Approach

AU - Subbiah, Rajesh

AU - Pal, Anamitra

AU - Nordberg, Eric K.

AU - Marathe, Achla

AU - Marathe, Madhav V.

PY - 2017/7/1

Y1 - 2017/7/1

N2 - According to the U.S. Energy Information Administration (EIA), the residential sector accounts for one-third of the country's energy consumption. This number is steadily increasing, posing a challenge to energy regulators as well as suppliers. To manage the growing demand for energy, there is a need for energy system optimization, especially on the demand side. This paper uses a first principles approach to build a high-resolution energy demand model, which can be used as a test bed by academicians as well as policy makers for performing such optimizations. This framework generates activity-based, building-level, time-dependent demand profiles. The model associates appliance usage with each household activity and calculates energy consumption based on the appliance energy rating, the duration of the energy consuming activity, and the type of activity performed by each household member. It also accounts for shared activities among household members to avoid double counting. Additionally, passive energy consumptions such as space heating/cooling, lighting, etc., are measured. Finally, validation of the results obtained by this model against real-world data for Virginia is carried out. The results indicate that the modeling framework is robust and can be extended to other parts of the U.S. and beyond.

AB - According to the U.S. Energy Information Administration (EIA), the residential sector accounts for one-third of the country's energy consumption. This number is steadily increasing, posing a challenge to energy regulators as well as suppliers. To manage the growing demand for energy, there is a need for energy system optimization, especially on the demand side. This paper uses a first principles approach to build a high-resolution energy demand model, which can be used as a test bed by academicians as well as policy makers for performing such optimizations. This framework generates activity-based, building-level, time-dependent demand profiles. The model associates appliance usage with each household activity and calculates energy consumption based on the appliance energy rating, the duration of the energy consuming activity, and the type of activity performed by each household member. It also accounts for shared activities among household members to avoid double counting. Additionally, passive energy consumptions such as space heating/cooling, lighting, etc., are measured. Finally, validation of the results obtained by this model against real-world data for Virginia is carried out. The results indicate that the modeling framework is robust and can be extended to other parts of the U.S. and beyond.

KW - Activity-based

KW - appliance usage

KW - energy demand

KW - energy rating

KW - residential

KW - shared activity

UR - http://www.scopus.com/inward/record.url?scp=85026860048&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85026860048&partnerID=8YFLogxK

U2 - 10.1109/TSTE.2017.2669990

DO - 10.1109/TSTE.2017.2669990

M3 - Article

AN - SCOPUS:85026860048

VL - 8

SP - 1215

EP - 1224

JO - IEEE Transactions on Sustainable Energy

JF - IEEE Transactions on Sustainable Energy

SN - 1949-3029

IS - 3

M1 - 7857082

ER -