Real-time optimization of shared resource renewable energy networks

Stephen James Treado, Kevin Carbonnier

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

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

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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