Pinned Repositories
atlite
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
earth-osm
Python tool to extract large-amounts of OpenStreetMap data
Joulia.jl
Joulia.jl: A Large-Scale Spatial Power System Model for Julia
kodekiste
Publicly shared files, source code, analyses, notebooks
obsidian-literature-note
MD template and CSS to generate a literature not based on Zotero PDF annotations and notes
pci-pmi-2030-targets
PyPSA
PyPSA: Python for Power System Analysis
pypsa-earth
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
pypsa-eur
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
redispatch-ptg
The energy system transformation is facing the challenge of increasing decentralised renewable energy injec-tion into an infrastructure originally laid out for centralised, dispatchable power generation. Due to limited transmission capacity and flexibility, large amounts of renewable electricity are curtailed. In this paper,we assess how Power-to-Gas facilities can provide spatial and temporal flexibility by shifting pressure fromthe electricity grid to the gas infrastructure. For this purpose, we propose a two-stage model incorporating the day-head spot market and subsequent redispatch. We introduce Power-to-Gas as a redispatch optionand apply the model to the German electricity system. Instead of curtailing renewable electricity, syntheticn atural gas can be produced and injected into the gas grid for later usage. Results show a reduction on curtailment of renewables by 12 % through installing Power-to-Gas at a small set of nodes frequently facingcurtailment. With the benefits of decentralised synthetic natural gas injection and usage, we exploit theadvantages of coupling the two energy systems. The introduction of Power-to-Gas provides flexibility to the electricity system, while contributing to a higher effective utilisation of renewable energy sources as well as the natural gas grid.
bobbyxng's Repositories
bobbyxng/redispatch-ptg
The energy system transformation is facing the challenge of increasing decentralised renewable energy injec-tion into an infrastructure originally laid out for centralised, dispatchable power generation. Due to limited transmission capacity and flexibility, large amounts of renewable electricity are curtailed. In this paper,we assess how Power-to-Gas facilities can provide spatial and temporal flexibility by shifting pressure fromthe electricity grid to the gas infrastructure. For this purpose, we propose a two-stage model incorporating the day-head spot market and subsequent redispatch. We introduce Power-to-Gas as a redispatch optionand apply the model to the German electricity system. Instead of curtailing renewable electricity, syntheticn atural gas can be produced and injected into the gas grid for later usage. Results show a reduction on curtailment of renewables by 12 % through installing Power-to-Gas at a small set of nodes frequently facingcurtailment. With the benefits of decentralised synthetic natural gas injection and usage, we exploit theadvantages of coupling the two energy systems. The introduction of Power-to-Gas provides flexibility to the electricity system, while contributing to a higher effective utilisation of renewable energy sources as well as the natural gas grid.
bobbyxng/atlite
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
bobbyxng/earth-osm
Python tool to extract large-amounts of OpenStreetMap data
bobbyxng/Joulia.jl
Joulia.jl: A Large-Scale Spatial Power System Model for Julia
bobbyxng/kodekiste
Publicly shared files, source code, analyses, notebooks
bobbyxng/PyPSA
PyPSA: Python for Power System Analysis
bobbyxng/pypsa-earth
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
bobbyxng/pypsa-eur
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
bobbyxng/resilient-regret-matrix
RESILIENT: Decision under uncertainty using regret-matrix approach
bobbyxng/spatial-sector-dashboard
Fork of spatial-sector-dashboard