Process as a battery: Electricity price aware optimal operation of zeolite crystallization in a continuous oscillatory baffled reactor

Semrau, Robin; Engell, Sebastian

doi:10.1016/j.compchemeng.2023.108143

Cited by 4 publications

(1 citation statement)

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“…13,14 This represents a potential win-win for the power grid and manufacturer, serving as a form of economic incentive for helping to balance grid demand. Numerous recent works study demand-side management of other electrified industrial processes (see recent perspectives by Billings and Powell, 15 Cegla et al 16 ), including air separation, [17][18][19] chlor-akali electrolysis, 20,21 steel manufacturing, 22 zeolite crystallization, 23 and copper production. 24 Demand response schedules are typically computed using dynamic 25,26 or static 27 surrogate models, given an electricity price forecast, by solving a dynamic or (mixed-integer) linear optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Integrating process and power grid models for optimal design and demand response operation of giga‐scale green hydrogen

Tsay,

Qvist

2023

AIChE Journal

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Electrolysis‐based hydrogen production can play a significant role in industrial decarbonization, and its economic competitiveness can be promoted by designing demand response operating schemes. Nevertheless, the scale of industrial supply plants may be significantly large (on the order of gigawatts), meaning that electricity prices cannot be treated as an input for scheduling problems, that is, the “price taker” approach. This article presents a framework for the optimization of a large‐scale, electricity‐powered hydrogen production facility considering its integration with the power grid. Using a computational case study, we present an iterative scheme for integrating the process model with a model for power grid optimization and capacity expansion, taking the popular GenX model as an example.

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