RT info:eu-repo/semantics/article
T1 Implementation of RTO in a large hydrogen network considering uncertainty
A1 Galán, Aníbal
A1 de Prada, César
A1 Gutiérrez, Gloria
A1 Sarabia, Daniel
A1 Grossmann, Ignacio
A1 González, Rafael
K1 Process optimization · Hydrogen networks · Real-time optimization · Two-stage stochastic programming · CVaR
AB This paper describes the problems associated with the implementation of a real-timeoptimization (RTO) decision support tool, for the operation of a large scale hydrogennetwork of an oil refinery. In addition, a formulation which takes into accountthe stochastic uncertainty of hydrogen demand, due to hydrocarbons quality change,is described and further studied, focusing on its utility in the decision-making processof operators. An integrated robust data reconciliation, and economic optimization,considering plant-wide uncertain parameters is presented and discussed. Moreover,stochastic uncertainty in hydrogen demand is assessed for its inclusion withinthe RTO framework. A novel approach of the decisions stages at hydrogen producersand consumers is proposed, which supports the formulation of the problem asa two-stage stochastic non-linear program. Representative results are presented anddiscussed, aimed at assessing the potential impact in the hydrogen managementpolicies. For this purpose, the value of the stochastic solution, perfect information,and expectation of the expected value are analyzed. Complementarily, a risk-averseformulation is presented (value-at-risk and conditional-value-at-risk) and its resultscompared against the formulation without risk considerations. Finally, some attentionis given to future directions of this decision support tool, based on these workcontributions, including the importance of the decision makers’ participation in theanalysis of the potential impact of risk-averse results.
PB Springer
SN 1389-4420
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/65041
UL https://uvadoc.uva.es/handle/10324/65041
LA eng
NO Optimization and Engineering, june 2019, vol. 20, p. 1161-1190
NO Producción Científica
DS UVaDOC
RD 03-jun-2024