Real-time optimization of shared resource renewable energy networks

Stephen James Treado, Kevin Carbonnier

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Shared resource renewable energy networks allow for the burden of high capital cost to be managed by sharing the cost and benefits of renewable energy use. In order to maximize the benefit gained from shared renewable energy, we propose a methodology to optimize the use of renewables via scheduling of energy use. By offering reduced energy rates, residents will be encouraged to run heavy energy consumers such as clothes dryers at times which improve the load generation and energy demand matching as deemed by a designed and optimized decision engine.

Original languageEnglish (US)
Title of host publicationSustainability in Energy and Buildings
Subtitle of host publicationProceedings of the 4th International
EditorsAnne Hakansson, Lakhmi C. Jain, Mattias HOjer, Robert James Howlett
Pages289-298
Number of pages10
DOIs
StatePublished - Jul 2 2013

Publication series

NameSmart Innovation, Systems and Technologies
Volume22
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Fingerprint

Renewable energy resources
Costs
Scheduling
Engines
Renewable energy
Shared resources
Energy use
Energy

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Treado, S. J., & Carbonnier, K. (2013). Real-time optimization of shared resource renewable energy networks. In A. Hakansson, L. C. Jain, M. HOjer, & R. J. Howlett (Eds.), Sustainability in Energy and Buildings: Proceedings of the 4th International (pp. 289-298). (Smart Innovation, Systems and Technologies; Vol. 22). https://doi.org/10.1007/978-3-642-36645-1_27
Treado, Stephen James ; Carbonnier, Kevin. / Real-time optimization of shared resource renewable energy networks. Sustainability in Energy and Buildings: Proceedings of the 4th International. editor / Anne Hakansson ; Lakhmi C. Jain ; Mattias HOjer ; Robert James Howlett. 2013. pp. 289-298 (Smart Innovation, Systems and Technologies).
@inbook{c372d16ce7e4454980d4c5bb6f7ea965,
title = "Real-time optimization of shared resource renewable energy networks",
abstract = "Shared resource renewable energy networks allow for the burden of high capital cost to be managed by sharing the cost and benefits of renewable energy use. In order to maximize the benefit gained from shared renewable energy, we propose a methodology to optimize the use of renewables via scheduling of energy use. By offering reduced energy rates, residents will be encouraged to run heavy energy consumers such as clothes dryers at times which improve the load generation and energy demand matching as deemed by a designed and optimized decision engine.",
author = "Treado, {Stephen James} and Kevin Carbonnier",
year = "2013",
month = "7",
day = "2",
doi = "10.1007/978-3-642-36645-1_27",
language = "English (US)",
isbn = "9783642366444",
series = "Smart Innovation, Systems and Technologies",
pages = "289--298",
editor = "Anne Hakansson and Jain, {Lakhmi C.} and { HOjer}, Mattias and Howlett, {Robert James}",
booktitle = "Sustainability in Energy and Buildings",

}

Treado, SJ & Carbonnier, K 2013, Real-time optimization of shared resource renewable energy networks. in A Hakansson, LC Jain, M HOjer & RJ Howlett (eds), Sustainability in Energy and Buildings: Proceedings of the 4th International. Smart Innovation, Systems and Technologies, vol. 22, pp. 289-298. https://doi.org/10.1007/978-3-642-36645-1_27

Real-time optimization of shared resource renewable energy networks. / Treado, Stephen James; Carbonnier, Kevin.

Sustainability in Energy and Buildings: Proceedings of the 4th International. ed. / Anne Hakansson; Lakhmi C. Jain; Mattias HOjer; Robert James Howlett. 2013. p. 289-298 (Smart Innovation, Systems and Technologies; Vol. 22).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Real-time optimization of shared resource renewable energy networks

AU - Treado, Stephen James

AU - Carbonnier, Kevin

PY - 2013/7/2

Y1 - 2013/7/2

N2 - Shared resource renewable energy networks allow for the burden of high capital cost to be managed by sharing the cost and benefits of renewable energy use. In order to maximize the benefit gained from shared renewable energy, we propose a methodology to optimize the use of renewables via scheduling of energy use. By offering reduced energy rates, residents will be encouraged to run heavy energy consumers such as clothes dryers at times which improve the load generation and energy demand matching as deemed by a designed and optimized decision engine.

AB - Shared resource renewable energy networks allow for the burden of high capital cost to be managed by sharing the cost and benefits of renewable energy use. In order to maximize the benefit gained from shared renewable energy, we propose a methodology to optimize the use of renewables via scheduling of energy use. By offering reduced energy rates, residents will be encouraged to run heavy energy consumers such as clothes dryers at times which improve the load generation and energy demand matching as deemed by a designed and optimized decision engine.

UR - http://www.scopus.com/inward/record.url?scp=84879456486&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879456486&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-36645-1_27

DO - 10.1007/978-3-642-36645-1_27

M3 - Chapter

AN - SCOPUS:84879456486

SN - 9783642366444

T3 - Smart Innovation, Systems and Technologies

SP - 289

EP - 298

BT - Sustainability in Energy and Buildings

A2 - Hakansson, Anne

A2 - Jain, Lakhmi C.

A2 - HOjer, Mattias

A2 - Howlett, Robert James

ER -

Treado SJ, Carbonnier K. Real-time optimization of shared resource renewable energy networks. In Hakansson A, Jain LC, HOjer M, Howlett RJ, editors, Sustainability in Energy and Buildings: Proceedings of the 4th International. 2013. p. 289-298. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-3-642-36645-1_27