EURO 2024 Copenhagen
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3796. Stochastic optimization with automated number of storage tank selection for crude oil scheduling

Invited abstract in session WD-35: Optimization under Uncertainty in Manufacturing and Supply Chain Management, stream Stochastic, Robust and Distributionally Robust Optimization.

Wednesday, 14:30-16:00
Room: 44 (building: 303A)

Authors (first author is the speaker)

1. Hasan Sildir
Chemical Engineering, Izmir Institute of Technology
2. Damla Yalcin
Izmir Institute of Technology
3. Ozgun Deliismail
SOCAR Turkey R&D and Innovation Co.
4. Basak Tuncer
SOCAR TUrkey R&D and Innovation Co.

Abstract

In the field of process system engineering (PSE), particularly in the oil and gas industry, a novel approach is presented that significantly enhances sustainability. This approach is characterized by integrating effective scheduling and planning strategies that transition from traditional deterministic optimization to a robust framework. This framework is adept at managing the uncertainties inherent in the industry, a challenge often overlooked in conventional methods. Central to this new strategy is the development of a Mixed-Integer Nonlinear Programming (MINLP) model for crude oil tank farm management. This model integrates deterministic mathematical principles with stochastic components to address the unpredictability of oil volumes and market prices, aiming to improve operational efficiency and promote oil sector sustainability. Furthermore, the integration of the Industrial Internet of Things (IIoT) and Process Intensification (PI) optimizes value chains, marking a substantial advancement in addressing the complex challenges of current industrial processes and establishing a foundation for future sustainable industrial developments. This comprehensive approach balances ecological, social, and economic dimensions and represents a significant step towards the sustainable development in chemical engineering and PSE, combining advanced technologies with robust optimization techniques.

Keywords

Status: accepted

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