@inbook{efdf542a665940468a83c6bdec4775ea,
title = "Process Synthesis under Seasonal and Daily Variability: Application on Concentrating Solar Power",
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.",
keywords = "solar power, stochastic programming, superstructure optimization",
author = "Xinyue Peng and Root, {Thatcher W.} and Maravelias, {Christos T.}",
note = "Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",
year = "2018",
month = jan,
day = "1",
doi = "10.1016/B978-0-444-64241-7.50064-1",
language = "English (US)",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "415--420",
booktitle = "Computer Aided Chemical Engineering",
}