Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas

Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas

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  Spatial flexibility inredispatch: Supporting low carbon energy systems with Power-to-Gas 16th and 17th Dec. 2020: 78th Semi-annual ETSAP workshop Bobby Xiong*, Johannes Predel, Pedro Crespo del Granado**, Ruud Egging-Bratseth * [email protected] ** [email protected] https://doi.org/10.1016/j.apenergy.2020.116201
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  2 Motivation Rising congestion managementcosts due to RES integation
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  3 • Historically centralisedand fossil fuel-based power generation • Decentralised and intermittent RE electricity generation is challenging • System Operators need to curtail vast amount of RE electricity in order to maintain a stable grid • Making use of already existing infrastructure may help to support other energy sectors • Power-to-Gas can be used to shift energy from the electricity towards the gas sector • System operator can use PtG in order to reduce curtailment during redispatch • To what extent can PtG provide flexibility in redispatch? • Which factors drive SNG production when PtG is used to reduce curtailment and redispatch volumes? Problem Research & contributionIdea Motivation From problem identification to our research contribution
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  4 Methodology Redispatch explained 02.08.2019Congestion Managementvia P2G in Liberalised Electricity Markets, ADBI Workshop Congested transmission line Uncongested transmission line Redispatch
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  Methodology Redispatch enhanced byPower-to-Gas 04.11.2020Congestion Management via P2G in Liberalised Electricity Markets, ADBI Workshop 5 Congested transmission line Uncongested transmission line Redispatch with PtG PtG
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  Methodology Two-stage model approach Lowcapital letters: Parameters Large capital letters: Model variables c: Cost parameters P: Generation variables Sets t in T: Set of hours g in G: Set of generation units e in G: Subset of GfG units r in R: Set of renewables n in N: Set of nodes
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  Methodology Two-stage model approach Lowcapital letters: Parameters Large capital letters: Model variables c: Cost parameters P: Generation variables Sets t in T: Set of hours g in G: Set of generation units e in G: Subset of GfG units r in R: Set of renewables n in N: Set of nodes PtG
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  Model results Economic dispatch:Four exemplary weeks
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  9 Model results Imbalanced distributionof load and supply call for redispatch measures Annual load Annual RES generation Annual redispatch
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  Model results Imbalanced distributionof load and supply call for redispatch measures
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  Model results Power-to-Gas usagenaturally reduces curtailment Sensitivity analysis on varying PtG efficiency
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  PAPER HIGHLIGHTS • Power-to-Gascan shift pressure from electricity to gas infrastructure. • The utilisation of Power-to-Gas in redispatch reduces curtailment by 12%. • Based on 427 analysed node, 5 nodes show a high potential for Power-to-Gas usage. • Results are supported by ongoing projects of transmission system operators. • The feasibility of Power-to-Gas depends on technology efficiency and the CO2 price. REPRODUCABILITY • Open access publication and open source model using Julia (JuMP) and R • Model code under MIT licence: https://github.com/bobbyxiong/redispatch-ptg Conclusion
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  Thanks! Acknowledgements This project hasreceived funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 835896 Bobby Xiong, Johannes Predel, Pedro Crespo del Granado*, Ruud Egging-Bratseth *Managerial Economics and Operations Research Norwegian University of Science and Technology (NTNU) Mail: [email protected]