Hydrogen Network Optimization in Refinery Systems

Hydrogen network optimisation in refinery systems encompasses the strategic configuration of hydrogen sources, purification units and consumer demands to achieve minimal fresh‐hydrogen consumption, operational cost and environmental impact. Within modern refineries, hydrogen is a critical reagent for hydrocracking, hydrotreating and desulphurisation, necessitating sophisticated integration of internal hydrogen streams with external supplies. Techniques range from mass‐exchange network design to retrofitting legacy piping and compressor systems. Optimisation workflows typically involve mathematical programming, simulation and heuristic algorithms to balance hydrogen purity constraints, dynamic operating conditions and capital investment considerations. Effective networks can reduce utility usage by up to 30 percent, lower greenhouse‐gas emissions and enhance process flexibility across global petrochemical sites.

Research from Nature Portfolio

Recent studies have introduced a simulation and retrofitting technique for hydrogen integration networks that couples a LINGO‐based optimisation with spreadsheet analysis to design mass‐exchange schemes among multiple sources and sinks. Applied to twelve streams of varying purity, the two‐step model first computes optimal flow rates and then refines network topology through an Excel implementation, yielding significant reductions in fresh‐hydrogen consumption. Case studies demonstrate the method’s ease of implementation and its superior efficiency in fertilizer, petrochemical and refinery contexts compared to traditional design approaches.

Research from all publishers

Research outside the portfolio has advanced hydrogen network optimisation along three complementary lines. A simultaneous multi‐period framework addresses fluctuating operating conditions across interlinked plants, producing integrated scheduling and network structures that minimise total annualised cost and boost internal hydrogen exchange. Alternative work has developed MILP and MINLP formulations enhanced by a Virtual Compressor Approach, enabling stream mixing within linear models and providing robust initialisations for non‐linear solvers; case studies report cost savings exceeding 30 percent. A broader comparative analysis of linear versus non‐linear programming approaches has clarified trade‐offs between model complexity, convergence reliability and payback, highlighting the practical sufficiency of linear models when combined with compressor rearrangement for many retrofit and design applications.

Hydrogen Network Optimization in Refinery Systems publication trend

The graph below shows the total number of articles in hydrogen network optimization in refinery systems across all publications each year (not limited to Nature Index journals).

Technical terms

Hydrogen network optimisation: Strategic configuration of hydrogen sources, purification steps and consumer demands to minimise fresh‐hydrogen usage and cost.

Mass‐exchange network: A system of interconnected streams in which hydrogen is transferred from high‐purity sources to sinks to reduce external supply.

Mixed‐Integer Linear Programming (MILP): An optimisation model using linear relationships with both integer and continuous decision variables.

Mixed‐Integer Nonlinear Programming (MINLP): A framework for optimisation problems combining non‐linear process equations with integer decisions.

Virtual Compressor Approach: An algorithmic scheme to simulate compressor behaviour within a linear model, permitting stream mixing and network consolidation.

Multi‐period optimisation: A strategy accounting for varying operating conditions over discrete time intervals in network design and scheduling.

References

1. Simulation and retrofitting of mass exchange networks in fertilizer plants. Scientific Reports (2023).
2. Optimization of an Inter-Plant Hydrogen Network: A Simultaneous Approach to Solving Multi-Period Optimization Problems. Processes (2020).
3. MILP Formulation for Solving and Initializing MINLP Problems Applied to Retrofit and Synthesis of Hydrogen Networks. Processes (2020).
4. An overview of different approaches in hydrogen network optimization via mathematical programming. Brazilian Journal of Operations & Production Management (2020).