Optimal incentivized demand response and building retrofits

Nnamdi Nwulu; Yanxia Sun

doi:10.1109/ICACCE.2016.8073785

Optimal incentivized demand response and building retrofits

Electrical and Electronic Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In this work a mathematical model is formulated for the South African demand response program which incentivizes customers to replace inefficient energy appliances with energy efficient ones. Individual customers should achieve power savings of between 1 kW to 250 kW, and energy savings of at least 2 MWh per annum. The model's objective function is to maximize the customer's benefit and energy cost savings in light of the incentive provided by the utility. A number of utility defined requirements for program participation serve as the constraints for the mathematical model. The customer's budget is also added as a constraint to the model. The model determines the optimal number of retrofits a customer should perform. Different scenarios are investigated and establish the robustness of the model.

Original language	English
Title of host publication	Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016
Editors	Vishal Kumar, Upasana Gitanjali Singh, S D Sudarsan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	418-422
Number of pages	5
ISBN (Electronic)	9781509025763
DOIs	https://doi.org/10.1109/ICACCE.2016.8073785
Publication status	Published - 18 Oct 2017
Event	3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016 - Durban, South Africa Duration: 28 Nov 2016 → 29 Nov 2016

Publication series

Name	Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016

Conference

Conference	3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016
Country/Territory	South Africa
City	Durban
Period	28/11/16 → 29/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

building retrofits
demand response
energy cost savings
mathematical model

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture

Access to Document

10.1109/ICACCE.2016.8073785

Cite this

Nwulu, N., & Sun, Y. (2017). Optimal incentivized demand response and building retrofits. In V. Kumar, U. G. Singh, & S. D. Sudarsan (Eds.), Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016 (pp. 418-422). Article 8073785 (Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCE.2016.8073785

Nwulu, Nnamdi ; Sun, Yanxia. / Optimal incentivized demand response and building retrofits. Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016. editor / Vishal Kumar ; Upasana Gitanjali Singh ; S D Sudarsan. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 418-422 (Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016).

@inproceedings{13ba009ad40947fd9fe294506848463e,

title = "Optimal incentivized demand response and building retrofits",

abstract = "In this work a mathematical model is formulated for the South African demand response program which incentivizes customers to replace inefficient energy appliances with energy efficient ones. Individual customers should achieve power savings of between 1 kW to 250 kW, and energy savings of at least 2 MWh per annum. The model's objective function is to maximize the customer's benefit and energy cost savings in light of the incentive provided by the utility. A number of utility defined requirements for program participation serve as the constraints for the mathematical model. The customer's budget is also added as a constraint to the model. The model determines the optimal number of retrofits a customer should perform. Different scenarios are investigated and establish the robustness of the model.",

keywords = "building retrofits, demand response, energy cost savings, mathematical model",

author = "Nnamdi Nwulu and Yanxia Sun",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016 ; Conference date: 28-11-2016 Through 29-11-2016",

year = "2017",

month = oct,

day = "18",

doi = "10.1109/ICACCE.2016.8073785",

language = "English",

series = "Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "418--422",

editor = "Vishal Kumar and Singh, \{Upasana Gitanjali\} and Sudarsan, \{S D\}",

booktitle = "Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016",

address = "United States",

}

Nwulu, N & Sun, Y 2017, Optimal incentivized demand response and building retrofits. in V Kumar, UG Singh & SD Sudarsan (eds), Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016., 8073785, Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 418-422, 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016, Durban, South Africa, 28/11/16. https://doi.org/10.1109/ICACCE.2016.8073785

Optimal incentivized demand response and building retrofits. / Nwulu, Nnamdi ; Sun, Yanxia.
Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016. ed. / Vishal Kumar; Upasana Gitanjali Singh; S D Sudarsan. Institute of Electrical and Electronics Engineers Inc., 2017. p. 418-422 8073785 (Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal incentivized demand response and building retrofits

AU - Nwulu, Nnamdi

AU - Sun, Yanxia

PY - 2017/10/18

Y1 - 2017/10/18

N2 - In this work a mathematical model is formulated for the South African demand response program which incentivizes customers to replace inefficient energy appliances with energy efficient ones. Individual customers should achieve power savings of between 1 kW to 250 kW, and energy savings of at least 2 MWh per annum. The model's objective function is to maximize the customer's benefit and energy cost savings in light of the incentive provided by the utility. A number of utility defined requirements for program participation serve as the constraints for the mathematical model. The customer's budget is also added as a constraint to the model. The model determines the optimal number of retrofits a customer should perform. Different scenarios are investigated and establish the robustness of the model.

AB - In this work a mathematical model is formulated for the South African demand response program which incentivizes customers to replace inefficient energy appliances with energy efficient ones. Individual customers should achieve power savings of between 1 kW to 250 kW, and energy savings of at least 2 MWh per annum. The model's objective function is to maximize the customer's benefit and energy cost savings in light of the incentive provided by the utility. A number of utility defined requirements for program participation serve as the constraints for the mathematical model. The customer's budget is also added as a constraint to the model. The model determines the optimal number of retrofits a customer should perform. Different scenarios are investigated and establish the robustness of the model.

KW - building retrofits

KW - demand response

KW - energy cost savings

KW - mathematical model

UR - https://www.scopus.com/pages/publications/85039932114

U2 - 10.1109/ICACCE.2016.8073785

DO - 10.1109/ICACCE.2016.8073785

M3 - Conference contribution

AN - SCOPUS:85039932114

T3 - Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016

SP - 418

EP - 422

BT - Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016

A2 - Kumar, Vishal

A2 - Singh, Upasana Gitanjali

A2 - Sudarsan, S D

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016

Y2 - 28 November 2016 through 29 November 2016

ER -

Nwulu N , Sun Y. Optimal incentivized demand response and building retrofits. In Kumar V, Singh UG, Sudarsan SD, editors, Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 418-422. 8073785. (Proceedings - 2016 3rd International Conference on Advances in Computing, Communication and Engineering, ICACCE 2016). doi: 10.1109/ICACCE.2016.8073785

Optimal incentivized demand response and building retrofits

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this