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 language||English (US)|
|Title of host publication||Computer Aided Chemical Engineering|
|Number of pages||6|
|State||Published - Oct 2017|
|Name||Computer Aided Chemical Engineering|
Bibliographical notePublisher Copyright:
© 2017 Elsevier B.V.
- Renewable energy
- biofuels production
- integrated design and operation
- power production
- process network