Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study
Abstract
The time‐varying operation of chemical plants offers economic advantages, particularly in the presence of time‐sensitive electricity markets and renewable energy generation. However, the uncertainty and short‐timescale variability associated with renewable energy production, as well as the nonconvex process and cost models typically associated with chemical processes, make finding the optimal design of such systems challenging. In this work, a new approach is presented to finding the optimal design of systems with time‐varying operation, called scheduling‐informed design, whereby the optimal operation of many designs is determined and the resulting cost correlations into the optimal design problem are embedded. This method is applied to a case study of wind‐powered ammonia generation and showed that it greatly improves the computational tractability of the optimal design problem and predicts with greater accuracy operating costs realized because of uncertainty in forecasting. © 2018 American Institute of Chemical Engineers AIChE J , 65: e16434 2019
- Authors:
-
[1]
- Dept. of Chemical Engineering and Materials Science University of Minnesota Minneapolis MN, 55455
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1482740
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- AIChE Journal
- Additional Journal Information:
- Journal Name: AIChE Journal Journal Volume: 65 Journal Issue: 7; Journal ID: ISSN 0001-1541
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Allman, Andrew, Palys, Matthew J., and Daoutidis, Prodromos. Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study. United States: N. p., 2018.
Web. doi:10.1002/aic.16434.
Allman, Andrew, Palys, Matthew J., & Daoutidis, Prodromos. Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study. United States. https://doi.org/10.1002/aic.16434
Allman, Andrew, Palys, Matthew J., and Daoutidis, Prodromos. Sun .
"Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study". United States. https://doi.org/10.1002/aic.16434.
@article{osti_1482740,
title = {Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study},
author = {Allman, Andrew and Palys, Matthew J. and Daoutidis, Prodromos},
abstractNote = {The time‐varying operation of chemical plants offers economic advantages, particularly in the presence of time‐sensitive electricity markets and renewable energy generation. However, the uncertainty and short‐timescale variability associated with renewable energy production, as well as the nonconvex process and cost models typically associated with chemical processes, make finding the optimal design of such systems challenging. In this work, a new approach is presented to finding the optimal design of systems with time‐varying operation, called scheduling‐informed design, whereby the optimal operation of many designs is determined and the resulting cost correlations into the optimal design problem are embedded. This method is applied to a case study of wind‐powered ammonia generation and showed that it greatly improves the computational tractability of the optimal design problem and predicts with greater accuracy operating costs realized because of uncertainty in forecasting. © 2018 American Institute of Chemical Engineers AIChE J , 65: e16434 2019},
doi = {10.1002/aic.16434},
journal = {AIChE Journal},
number = 7,
volume = 65,
place = {United States},
year = {Sun Nov 18 00:00:00 EST 2018},
month = {Sun Nov 18 00:00:00 EST 2018}
}
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