522. Complementarity-based modelling for sustainable dynamic gas network operation
Invited abstract in session WB-12: Chemical and Energy Systems Optimization, stream Applications: AI, uncertainty management and sustainability.
Wednesday, 10:30-12:30Room: B100/8009
Authors (first author is the speaker)
| 1. | Lavinia Ghilardi
|
| Department of Computing, Imperial College London |
Abstract
In the framework of the energy transition, optimization tools play a key tole in supporting decision-making for sustainable process operations. However, modelling process systems often involves nonlinearities along with nonsmooth or switching conditions, due to the underlying system physics and the presence of control components. At the same time, these applications require solutions to be obtained in fast computational time to enable effective real-time decisions.
In this work, we propose a modelling approach for optimizing gas networks operations to minimize CO2-eq emissions related to compressor energy consumption. The model includes nonlinear dynamic conservation equations in pipelines, compressor maps, and valves operation. We formulate the problem as a Mathematical Program with Complementarity Constraints (MPCC), where complementarity constraints and reformulations enable the modelling of nonsmooth or disjuctive operations while retaining a continuous nonlinear framework. In gas pipelines operations, these methods can be used to model flow reversals, hydrogen mixing, or control valves operations.
The proposed methodology is effectively applied to large-scale problems with branched-looped networks. The approach allows to retain local solution in fast computational times, enabling its application in real-time controllers.
Keywords
- Complementarity and variational problems
- Optimization in industry, business and finance
- Linear and nonlinear optimization
Status: accepted
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