Integrated Design, Planning, and Scheduling of Renewables-based Fuels and Power Production Networks

Qi Zhang, Mariano Martín, Ignacio E. Grossmann

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

In this work, we optimize the design of renewables-based process networks for integrated fuels and power production, where a major challenge lies in the strongly time-dependent availability of renewable energy sources; it is thus vital to make detailed operational considerations already at the design stage. We propose a mixed-integer linear programming (MILP) formulation that combines a superstructure-based network synthesis model and an integrated planning and scheduling model. In the case study, in which the model is applied to a province in Spain, we demonstrate the effectiveness of the proposed framework and discuss synergies that can be achieved with the resulting integrated energy system.

Original languageEnglish (US)
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages1879-1884
Number of pages6
DOIs
StatePublished - Oct 2017
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume40
ISSN (Print)1570-7946

Keywords

  • Renewable energy
  • biofuels production
  • integrated design and operation
  • power production
  • process network

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