H2 supply paths in
Noord-Holland Noord
Juliana Montoya Cardona
H2 Production and
consumptions projections
2020 2022 2025 2035 2050 - 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 ProductionProduction Total (ton/y)
Exponential (Production Total (ton/y))
2020 2022 2025 2035 2050 - 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 Consumption (ton/y) Electricity LH
Hydrogen backbone in 2030 en in
2050
2020 2022 2035 2050 Fuel station ( tank)
H2 Producer
H2 Consumer / H2 fuel H2 Consumer/ low heat
Hydrogen supply pathways.
Production Electrolysi s SMR Byproduct CAE Conversion & conditioning Compressi on Liquefactio n Transport Gas trailer Gas pipelines Liquid trailer Consum er Transp ort Low heat Electri cityPathways: transportation mode
Hydrogen supply pathways.
1. Compressed H
2by truck
2. Liquefied H
2by truck
3. Compressed H
2by pipeline
4. H
2by mixed pipeline and truck
Hydrogen supply pathways.
Compressed/lique fy H2 truck
Compressed H2 pipe
H2 Production H2 Supply H2 Consumers
Compressor liquefaction Small Storage Fuel Station
Hydrogen supply pathways.
Compressed/lique fy H2 truck
Compressed H2 pipe
H2 Production H2 Supply H2 Consumers
Compressor liquefaction Small Storage Fuel Station
Hydrogen supply pathways.
Compressed/lique fy H2 truck
Compressed H2 pipe
H2 Production H2 Supply H2 Consumers
Compressor liquefaction Small Storage Fuel Station
Hydrogen supply pathways.
Compressed/lique fy H2 truck
Compressed H2 pipe
H2 Production H2 Supply H2 Consumers
Compressor liquefaction Small Storage Fuel Station
Optimal Hydrogen supply
path
Comparison of techno-economic metrics for the three paths
Levelized cost (LC) (€/kgH2)
Energy required (%)
Optimal Hydrogen supply
path
1. Supply-Demand balance
2. Spatial optimization under
min-cost flow
3. Comparison of techno-economic
metrics for the three paths
Optimal Hydrogen supply
path
Supply-Demand balance
Transport Sector
Refuelling Stations By Size Small Medium large Max. throughput
day (kg) 212 420 1000
Max. throughput
year (ton) 77.38 153.3 365
Demand Required refuelling stations
Year Transport (Ton/y) Small Medium large stationsTotal
2020 139 2 1 0 2
2022 523 5 2 1 7
2025 2036 26 13 6 22
2035 17372 224 113 48 135
Optimal Hydrogen supply
path
Supply-Demand balance Stationary applications 2020 2022 2025 2035 2050 239 704 (619) (898) 358 Balance Surplus DeficitAssumption: Deficit cover byH2 from the offshore wind
Optimal Hydrogen supply
path
Spatial optimization under min-cost flow formulation
Nodes bound
1. Conservative node :
throughput capacity and flow demand.
2. Sources node : Production
capacity
3. Sink node: mass flow
demand
Nodes flow
Conservative node
Sources node
Optimal Hydrogen supply
path
Spatial optimization under min-cost flow formulation Truck flow
Compressed Gas Truck Liquefy Truck
Compression cost Liquefaction cost O&M of the truck O&M of the truck Cost transport useful load Cost transport useful load
Optimal Hydrogen supply
path
Spatial optimization under min-cost flow formulation Pipeline flow
Compressed Gas pipeline
Compression cost
O&M of the pipe
Optimal Hydrogen supply
path
Pipeline flow
Purple: 8 bar pressure
Green: 3 bar pressure Yellow: 100 mbar pressure
Optimal Hydrogen supply
path
Pipeline flow
Purple: 8 bar pressure
Green: 3 bar pressure Yellow: 100 mbar pressure
Optimal Hydrogen supply
path
Pipeline flow
Purple: 8 bar pressure
Green: 3 bar pressure Yellow: 100 mbar pressure
Orange/brown: 30 mbar pressure
Optimal Hydrogen supply
path
The existing gas infrastructure cannot be use beside the transportation ( backbone) because:
Pipeline flow
Cannot easily separate the different type
of customers on the grids.
Even ‘isolated’ areas have small low-pressure
couplings with the neighbouring grids (for
Optimal Hydrogen supply
path
Flow considerations
1. Capacity transportation mode.
2. Distance between nodes.
3. Nodes connections via existing
infrastructure
only the backbone, other pipeline should
be new
Optimal Hydrogen supply
path
Location new H2 facilities in radio of 5, 10 or 20km from high consumer density region
Suitable region for new H2 facility H2 production from Wind
H2 demand for transport H2 demand for Heat H2 demand for electricity
H2 refueling station Example
Optimal Hydrogen supply
path
Shortest supply path under min-cost flow formulation. With a point to point supply.
Suitable region for new H2 facility H2 production from Wind
H2 demand for transport H2 demand for Heat H2 demand for electricity
H2 refueling station Example
Optimal Hydrogen supply
path
Shortest supply path under min-cost flow formulation. With a point to point supply.
Suitable region for new H2 facility H2 production from Wind
H2 demand for transport H2 demand for Heat H2 demand for electricity
H2 refueling station Example
Optimal Hydrogen supply
path
Shortest supply path under min-cost flow formulation. With a point to point supply.
Suitable region for new H2 facility H2 production from Wind
H2 demand for transport H2 demand for Heat H2 demand for electricity
H2 refueling station Example
Optimal Hydrogen supply
path
Shortest supply path under min-cost flow formulation. With a point to point supply.
Suitable region for new H2 facility H2 production from Wind
H2 demand for transport H2 demand for Heat H2 demand for electricity
H2 refueling station Example
Conclusion
• Three H2 supply path (delivery mode) will be used in this study, based on the relative competitiveness and existing Literature on H2 distribution
• The method used optimize both, node to node
supply flow and the location of new H2 facility
under min-cost flow
• Compared techno-economics metrics to select the suitable path
Further work
• Validation the demand and production scenarios • Spatial analysis of energy demand-supply density • Validation of techno-economic parameters of each
path for the NHN region
• Optimization for all the scenarios and the three paths
• Selections of the optimal and suitable path regarding the techno-economic metrics
Questions & Answers
Juliana Montoya Cardona
j.montoya.cardona@pl.hanze.nl
Further work
• Validation the demand and production scenarios
• Spatial analysis of energy demand-supply density
• Validation of techno-economic parameters of
each path for the NHN region
• Optimization for all the scenarios and the three
paths
• Selections of the optimal and suitable path
regarding the techno-economic metrics
Further work
• Validation the demand and production scenarios
• Spatial analysis of energy demand-supply density
• Validation of techno-economic parameters of
each path for the NHN region
• Optimization for all the scenarios and the three
paths
• Selections of the optimal and suitable path
regarding the techno-economic metrics
Further work
• Validation the demand and production scenarios
• Spatial analysis of energy demand-supply density
• Validation of techno-economic parameters of
each path for the NHN region
• Optimization for all the scenarios and the three
paths
• Selections of the optimal and suitable path
regarding the techno-economic metrics
Further work
• Validation the demand and production scenarios
• Spatial analysis of energy demand-supply density
• Validation of techno-economic parameters of
each path for the NHN region
• Optimization for all the scenarios and the three
paths
• Selections of the optimal and suitable path
regarding the techno-economic metrics
Further work
• Validation the demand and production scenarios
• Spatial analysis of energy demand-supply density
• Validation of techno-economic parameters of
each path for the NHN region
• Optimization for all the scenarios and the three
paths
• Selections of the optimal and suitable path
regarding the techno-economic metrics
Further work
• Validation the demand and production scenarios
• Spatial analysis of energy demand-supply density
• Validation of techno-economic parameters of
each path for the NHN region
• Optimization for all the scenarios and the three
paths
• Selections of the optimal and suitable path
regarding the techno-economic metrics
Questions & Answers
Juliana Montoya Cardona
j.montoya.cardona@pl.hanze.nl
Optimal Hydrogen supply
path
Techno-economic parameters
Fuelling Stations By Size
Small Medium large Max. throughput day
(kg) 212 420 1000
Max. throughput year
(ton) 77.38 153.3 365
Avg. investment per
stations (thousand €) 999 1460 2240
Fueling Station based on their supply
Pipeline C truck L truck Electricity consumption (kWh/kg) * 2 1.9 0.6 Hydrogen losses 0.5% 0.5% 3% Depreciation 10 O&M 5%
Optimal Hydrogen supply
path
Technico-economic parameters
Production plant storage
Pipeline C truck L truck Storage amount 50% daily flow 50% daily flow daily flow200% Storage cost (€/kg) 400 400 20-40
O&M 2%
H2
Optimal Hydrogen supply
path
Technico-economic parameters H2 Compressor Capacity 10 kW Scaling factor 0.8 Investment 0.015 million € Life time 15 yearsO&M 4% of capital Cost CRF 17% Energy usage (kWh/kg) 0.7-1 Losses 0.5% H2 liquefier Capacity 50 ton/day Scaling factor 0.6 Investment 105 million € Life time 20 years
O&M 8% of capital Cost CRF 17%
Optimal Hydrogen supply
path
Technico-economic parameters
Diesel tube trailer
200-250 bar0.5 ton ( ambient Temp.) Avg. Speed 50km/h Fuel economy 0.35 L/km Fuel price 1.4 €/L Utilization 2,000h/year Truck Investment 160,000 € Trailer & Cab 660,000 € Life time 10 years
O&M 5% of capital Cost CRF 17%
Loading time 1.5 h
Diesel Liquid trailer
1-4 bar4 ton ( ambient Temp.) Avg. Speed 50km/h
Fuel economy 0.35 L/km Fuel price 1.4 €/L
Utilization 2,000h/year Truck Investment 160,000 € Trailer & Cab 860,000 € Life time 10 years
O&M 5% of capital Cost CRF 17%
Optimal Hydrogen supply
path
Technico-economic parameters
To defined
Investment for new or upgraded pipeline in rural or urban area Life time ( depreciation)
CFR (Capital recovery cost) Capacity ( density ( kg/m3)) Size ( length & diameter) Avg. pressure and temp.
Reference case : 2020
Scenario
H2 Production Node 1 Zonnepark Kooihaven Node 2 H2 Windmill Wieringermeer Node 3 Vergasser Boekelemeer Node 4 Fuel Station Node 5 Tankstation NXT Alkmaar Node 6 Tankstation HoogtijZaandam
H2 Consumers
Node 7 2 H2 Boats Den Helder Pilot gebouw C H2 Heating
Node 8
Node 9 H2 Tourboat
Broekerveiling
Node 10
20 Forklifts Den Helder
Reference case : 2020
Scenario
Reference case : 2020
Scenario
node_1 node_2 node_3 node_4 node_5 node_6 node_7 node_8 node_9 0 50 100 150 200 250 300 350 400 450 500
Path flow Solution
2020 Production Capacity (ton/y) 2020 Demand (ton/y) Solution ton/y
H 2 ( to n /y ) Node 1 Zonnepark Kooihaven Node 2 H2 Windmill Wieringermeer Node 3 Vergasser Boekelemeer Node 4
Node 5 Tankstation NXT Alkmaar Node 6 Tankstation Hoogtij Zaandam Node 7 2 H2 Boats Den Helder
Pilot gebouw C H2 Heating
Node 8
Node 9 H2 Tourboat Broekerveiling
Node 10 20 Forklifts Den Helder
525 ton of H2 per year required
1226 ton of H2 per Production capacity