Discover and read the best of Twitter Threads about #PyPSA
Most recents (3)
New study in @iScience_CP with #PyPSA-Eur combining modelling-to-generate-alternatives (MGA) with global sensitivity analysis (GSA) to show many ways to design cost-effective renewable electricity systems with robustness to uncertain technology costs.
doi.org/10.1016/j.isci…
🧵
doi.org/10.1016/j.isci…
🧵
This paper with @nworbmot extends a previous study using MGA for renewable electricity system planning.
We added technology cost projections as parametric uncertainty to the structural exploration of near-optimal solutions.
We added technology cost projections as parametric uncertainty to the structural exploration of near-optimal solutions.
Like a previous study by @timtroendle, we used multi-fidelity surrogate modelling techniques using sparse polynomial chaos expansions and low-discrepancy sampling to manage over 50,000 optimisation runs effectively.
🚨Study on future options and costs of energy imports for Germany🚨
Our study comparing future options for energy imports to Germany and their costs has finally passed peer-review and is now published.
A thread 🧵
Our study comparing future options for energy imports to Germany and their costs has finally passed peer-review and is now published.
A thread 🧵
🔑Key findings
- Germany has many options for import
- No one-size-fits-all: Costs strongly depend on what and from where you import
- Costs for renewable alternatives and prices for fossil counterparts converged in last year
(visualisation created with AI b/c it's trendy)
- Germany has many options for import
- No one-size-fits-all: Costs strongly depend on what and from where you import
- Costs for renewable alternatives and prices for fossil counterparts converged in last year
(visualisation created with AI b/c it's trendy)
↩ Service: Availability
Study is open-access, available in @PLOSONE :
doi.org/10.1371/journa…
All code and data of course are published as #opensource and #OpenData , see the article for details. @openmod
Together with @Michael_Dueren (@jlugiessen) and @nworbmot (@TUBerlin)
Study is open-access, available in @PLOSONE :
doi.org/10.1371/journa…
All code and data of course are published as #opensource and #OpenData , see the article for details. @openmod
Together with @Michael_Dueren (@jlugiessen) and @nworbmot (@TUBerlin)
Germany (and other countries heavily relying on fossil energy imports today) need to switch to alternative energy carriers in the future to become climate neutral.
The list of options is long:
⚗️Which energy carrier?
🗺️From where?
🚢By which transport mode?
The list of options is long:
⚗️Which energy carrier?
🗺️From where?
🚢By which transport mode?
Highlights below.
You can find our preprint (not yet peer reviewed!) on arxiv.org/abs/2107.01092 . With @Michael_Dueren @nworbmot @jlugiessen @TUBerlin .
You can find our preprint (not yet peer reviewed!) on arxiv.org/abs/2107.01092 . With @Michael_Dueren @nworbmot @jlugiessen @TUBerlin .
We modelled 9 energy supply chains (ESCs) from 8 different exporting countries for optimal investment.
Including
* production side (GIS potential analysis, synthetic hourly RES time-series),
* considered local electricity demand before export
* conversion steps along each ESCs
Including
* production side (GIS potential analysis, synthetic hourly RES time-series),
* considered local electricity demand before export
* conversion steps along each ESCs
