Power-to-gas in a smart city context – Influence of network restrictions and possible solutions using on-site storage and model predictive controls. (17th May 2018)
- Record Type:
- Journal Article
- Title:
- Power-to-gas in a smart city context – Influence of network restrictions and possible solutions using on-site storage and model predictive controls. (17th May 2018)
- Main Title:
- Power-to-gas in a smart city context – Influence of network restrictions and possible solutions using on-site storage and model predictive controls
- Authors:
- Fischer, David
Kaufmann, Florian
Selinger-Lutz, Oliver
Voglstätter, Christoper - Abstract:
- Abstract: Power-to-gas (P2G or PtG) technology can provide energy storage capacity to the energy system by converting excess electrical energy into hydrogen and feeding it into the natural gas network, where it can be stored. However nowadays hydrogen feed-in has to be limited to certain percentages in order to keep the characteristics of the resulting gas mixture (i.e. heating value) within the national standards. For P2G plants in urban areas this can strongly impact the economic viability. This paper investigates the use of on-site storage and model predictive controller (MPC) to ease the negative effect of restrictions in the gas and power grid on the economics of P2G systems. Three different use-cases for P2G in an urban setting are considered: Optimal utilisation of renewable electricity produced within the boundaries of the city, optimised electricity purchase at the spot market and optimal usage of electric network. MPC is compared to an optimised rule-based control approach. Results show that both controls can be used to meet the objectives and operate the power-to-gas plant. However, the MPC approach results in a smoother operation of the plant and significantly improved economic performance in all cases and is recommended. The results indicate the beneficial effects of on-site hydrogen storage on system operation and economics. For the investigated cases a storage capacity around 6 full load hours of the electrolyser was sufficient to improve resultsAbstract: Power-to-gas (P2G or PtG) technology can provide energy storage capacity to the energy system by converting excess electrical energy into hydrogen and feeding it into the natural gas network, where it can be stored. However nowadays hydrogen feed-in has to be limited to certain percentages in order to keep the characteristics of the resulting gas mixture (i.e. heating value) within the national standards. For P2G plants in urban areas this can strongly impact the economic viability. This paper investigates the use of on-site storage and model predictive controller (MPC) to ease the negative effect of restrictions in the gas and power grid on the economics of P2G systems. Three different use-cases for P2G in an urban setting are considered: Optimal utilisation of renewable electricity produced within the boundaries of the city, optimised electricity purchase at the spot market and optimal usage of electric network. MPC is compared to an optimised rule-based control approach. Results show that both controls can be used to meet the objectives and operate the power-to-gas plant. However, the MPC approach results in a smoother operation of the plant and significantly improved economic performance in all cases and is recommended. The results indicate the beneficial effects of on-site hydrogen storage on system operation and economics. For the investigated cases a storage capacity around 6 full load hours of the electrolyser was sufficient to improve results significantly. Highlights: MPC enables an improved performance of electrolysers with on-site hydrogen storage in smart grids. Gas network restrictions play a major role for electrolysers connected to the natural gas grid. Simulations of different use-cases using a validated P2G-model are used to evaluate the potential of a real application. The influence of hydrogen storage size on the performance of the electrolyser is significant. … (more)
- Is Part Of:
- International journal of hydrogen energy. Volume 43:Number 20(2018)
- Journal:
- International journal of hydrogen energy
- Issue:
- Volume 43:Number 20(2018)
- Issue Display:
- Volume 43, Issue 20 (2018)
- Year:
- 2018
- Volume:
- 43
- Issue:
- 20
- Issue Sort Value:
- 2018-0043-0020-0000
- Page Start:
- 9483
- Page End:
- 9494
- Publication Date:
- 2018-05-17
- Subjects:
- Power-to-Gas -- Model predictive controls -- Urban energy systems -- Smart grid -- Hydrogen -- Energy network restrictions
Hydrogen as fuel -- Periodicals
Hydrogène (Combustible) -- Périodiques
Hydrogen as fuel
Periodicals
665.81 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03603199 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhydene.2018.04.034 ↗
- Languages:
- English
- ISSNs:
- 0360-3199
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.290000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17999.xml