Locating Hybrid Fuel Cell–Turbine Power Generation Units under Uncertainty

Laura Schaefer () and Andrew Schaefer ()

Annals of Operations Research, 2004, vol. 132, issue 1, 322 pages

Abstract: Hybrid gas turbine–solid oxide fuel cell power generation has the potential to create a positive economic and environmental impact. Annually, the U.S. spends over $235 billion on electricity, and electric utilities emit 550 million metric tons of carbon. The integration of distributed hybrid generation can reduce these emissions and costs through increased efficiencies. In this paper, a model is presented that minimizes the costs of distributed hybrid generation while optimally locating the units within the existing electric infrastructure. The model utilizes data from hybrid generation modules, and includes uncertainty in customer demand, weather, and fuel costs. Copyright Kluwer Academic Publishers 2004

Keywords: distributed generation; LCA; stochastic programming; integer programming (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1023/B:ANOR.0000045288.72359.de (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:132:y:2004:i:1:p:301-322:10.1023/b:anor.0000045288.72359.de

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/B:ANOR.0000045288.72359.de

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().