1. Designing a green gas supply to meet a regional seasonal demand
A case study
J. Bekkering MSc.
E.J. Hengeveld MSc.
Prof. Dr. W.J.T. van Gemert
Prof. Dr. A.A. Broekhuis
This project is part-financed by the municipality of Groningen, province of Groningen, the European Union, European Regional Development Fund, the Ministry of Economic Affairs “Pieken in de Delta” and “Samenwerkingsverband Noord-Nederland”, and is supported by Energy Valley.

2. Introduction Model Case Study Results Conclusions
Outline
Introduction
Model
Case Study
Results
Conclusions
2/19

3. Season dependent gas demand (8 bar grid)
1. Introduction
Season dependent gas demand (8 bar grid)
winter
summer
3/19

4. Season dependent gas demand
1. Introduction
Season dependent gas demand
Demand (modeled)
Green gas supply
4/19

5. 1. Introduction
Research question
Which combination of green gas production types, production scales and production locations
gives the lowest cost price of injected green gas, when the gas demand in a geographical region must be met by green gas to a desired extent?
5/19

6. 2. Model
6/19

7. 2. Model
1. Production
3. Injection
2. Pipe
transport
Production on farms: 1. Flexible production 2. Winter production 3. Constant production with storage
7/19

8. Flexible Production (fp)
2. Model
Flexible Production (fp)
Demand fp
8/19

9. Flexible Production (fp)
2. Model
Flexible Production (fp)
Difference
9/19

10. Winter Production (wp)
2. Model
Winter Production (wp)
10/19

11. Constant production with Storage (cs)
2. Model
Constant production with Storage (cs) cs
11/19

12. Distribution grid (8 bar grid)
3. Case study
Distribution grid (8 bar grid)
12/19

13. Production locations (on selected farms)
3. Case study
Production locations (on selected farms)
13/19

14. Possible injection locations (with capacities)
3. Case study
Possible injection locations (with capacities)
14/19

15. Increasing Gas Demand Coverage (GDC)
3. Case study
5 scenarios
Increasing Gas Demand Coverage (GDC)
Scenario 1 2 3 4 5
GDC
10 %
20 %
50 %
80 %
100 %
Production types fp
fp, wp
fp, wp, cs
Minimum cost price (€ct/Nm3) calculations using mixed integer linear programming
15/19

16. Results: Production and Injection locations
Scenario 4 (GDC = 80%)
Scenario 2 (GDC = 20 %)
16/19

17. Results: Cost price injected green gas
17/19

18. 5. Conclusions
Main conclusions
Green gas production types, scales and locations are influential factors in achieving the lowest cost price.
‘Winter’ production plays an important role in achieving a realistic seasonal gas demand coverage at comparable costs.
Cost price does not necessarily increase at increasing gas demand coverage.
18/19

19. Thank you for your attention!
J. Bekkering MSc.
E.J. Hengeveld MSc.
Prof. Dr. W.J.T. van Gemert
Prof. Dr. A.A. Broekhuis
This project is part-financed by the municipality of Groningen, province of Groningen, the European Union, European Regional Development Fund, the Ministry of Economic Affairs “Pieken in de Delta” and “Samenwerkingsverband Noord-Nederland”, and is supported by Energy Valley.
19/19

23. Scenario
Farm 1
(𝐺𝐷𝐶 =
10 %) 2
20 %) 2a
23.3 %) 3
50 %) 4
𝐺𝐷𝐶 =
80 %) 5
100 %) F1 -
fp150
wp200 (2x) F2
wp250
wp200 F3
wp300
wp300 (2x) F4 F5
fp100
wp100
cs100

24. Scenario
Injection station 1
(𝐺𝐷𝐶 = 10 %) 2
(𝐺𝐷𝐶 = 20 %) 2a
(𝐺𝐷𝐶 = %) 3
(𝐺𝐷𝐶 = %) 4
(𝐺𝐷𝐶 = 80 %) 5
(𝐺𝐷𝐶 = %) I1 -
F1, F2, F3
F1, F3 I2 I3 I4 F5
F4, F5 I5

25. Scenario 3 Farm F1 F2 F3 F4 F5 Weighted average Production type fp150
wp250
wp300 -
n.a.
Average production* (Nm3/h)
150
133
217
Production cost price (€ct/Nm3)
80.4
91.0
76.3
81.5
Connection to injection station I1
Pipe transport cost price (€ct/Nm3)
2.5
3.6
2.6
2.8