9 Design of hydrogen supply chains under demand uncertainty – a case study of passenger transport in Germany
-
Abstract
A strategy for the design of a hydrogen supply chain (HSC) network in Germany incorporating the uncertainty in the hydrogen demand is proposed. Based on univariate sensitivity analysis, uncertainty in hydrogen demand has a very strong impact on the overall system costs. Therefore we consider a scenario tree for a stochastic mixed integer linear programming model that incorporates the uncertainty in the hydrogen demand. The model consists of two configurations, which are analyzed and compared to each other according to production types: water electrolysis versus steam methane reforming. Each configuration has a cost minimization target. The concept of value of stochastic solution (VSS) is used to evaluate the stochastic optimization results and compare them to their deterministic counterpart. The VSS of each configuration shows significant benefits of a stochastic optimization approach for the model presented in this study, corresponding up to 26% of infrastructure investments savings
Abstract
A strategy for the design of a hydrogen supply chain (HSC) network in Germany incorporating the uncertainty in the hydrogen demand is proposed. Based on univariate sensitivity analysis, uncertainty in hydrogen demand has a very strong impact on the overall system costs. Therefore we consider a scenario tree for a stochastic mixed integer linear programming model that incorporates the uncertainty in the hydrogen demand. The model consists of two configurations, which are analyzed and compared to each other according to production types: water electrolysis versus steam methane reforming. Each configuration has a cost minimization target. The concept of value of stochastic solution (VSS) is used to evaluate the stochastic optimization results and compare them to their deterministic counterpart. The VSS of each configuration shows significant benefits of a stochastic optimization approach for the model presented in this study, corresponding up to 26% of infrastructure investments savings
Chapters in this book
- Frontmatter I
- Foreword V
- Contents IX
- List of contributing authors XVII
- 1 Hydrogen production via water splitting over graphitic carbon nitride (g-C3N4)-based photocatalysis 1
- 2 Optimization of electrolysis and carbon capture processes for sustainable production of chemicals through Power-to-X 41
- 3 Optimization of hydrogen supply from renewable electricity including cavern storage 55
- 4 Integrating multi-objective superstructure optimization and multi-criteria assessment: a novel methodology for sustainable process design 97
- 5 Process intensification and digital twin – the potential for the energy transition in process industries 131
- 6 The role of bioprocess systems engineering in extracting chemicals and energy from microalgae 151
- 7 Exergy analysis of an atmospheric residue desulphurization hydrotreating process for a crude oil refinery 173
- 8 Supply chain optimization framework for CO2 capture, utilization, and storage in Germany 211
- 9 Design of hydrogen supply chains under demand uncertainty – a case study of passenger transport in Germany 239
- 10 Multi-objective optimization of CCUS supply chains for European countries with higher carbon dioxide emissions 261
- 11 Certainty through uncertainty: stochastic optimization of grid-integrated large-scale energy storage in Germany 289
- 12 Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming 307
- 13 Development of future-proof supply concepts for sector-coupled district heating systems based on scenario-analysis 343
- 14 Power to the city: Assessing the rooftop solar photovoltaic potential in multiple cities of Ecuador 383
- Index 419
Chapters in this book
- Frontmatter I
- Foreword V
- Contents IX
- List of contributing authors XVII
- 1 Hydrogen production via water splitting over graphitic carbon nitride (g-C3N4)-based photocatalysis 1
- 2 Optimization of electrolysis and carbon capture processes for sustainable production of chemicals through Power-to-X 41
- 3 Optimization of hydrogen supply from renewable electricity including cavern storage 55
- 4 Integrating multi-objective superstructure optimization and multi-criteria assessment: a novel methodology for sustainable process design 97
- 5 Process intensification and digital twin – the potential for the energy transition in process industries 131
- 6 The role of bioprocess systems engineering in extracting chemicals and energy from microalgae 151
- 7 Exergy analysis of an atmospheric residue desulphurization hydrotreating process for a crude oil refinery 173
- 8 Supply chain optimization framework for CO2 capture, utilization, and storage in Germany 211
- 9 Design of hydrogen supply chains under demand uncertainty – a case study of passenger transport in Germany 239
- 10 Multi-objective optimization of CCUS supply chains for European countries with higher carbon dioxide emissions 261
- 11 Certainty through uncertainty: stochastic optimization of grid-integrated large-scale energy storage in Germany 289
- 12 Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming 307
- 13 Development of future-proof supply concepts for sector-coupled district heating systems based on scenario-analysis 343
- 14 Power to the city: Assessing the rooftop solar photovoltaic potential in multiple cities of Ecuador 383
- Index 419
