Process Synthesis under Seasonal and Daily Variability: Application on Concentrating Solar Power

Xinyue Peng, Thatcher W. Root, Christos T. Maravelias

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We propose an optimization-based framework for the synthesis of systems that are subject to variability in two frequencies. We use “scenarios” and “modes” to represent seasonal and daily variability respectively. We construct a multimode superstructure to consider different flowsheets alternatives for each mode. We formulate the optimization problem as a two-stage multimode stochastic programming approach with embedded models in each scenario. We illustrate the applicability of our framework through the design of concentrating solar power (CSP) plants.

Original languageEnglish (US)
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages415-420
Number of pages6
DOIs
StatePublished - Jan 1 2018
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume44
ISSN (Print)1570-7946

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Keywords

  • solar power
  • stochastic programming
  • superstructure optimization

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