Calliope Energy Systems Modeling Framework

Transcription

1 Calliope Energy Systems Modeling Framework Stefan Pfenninger Imperial College London 2nd Open Energy Modelling Initiative Workshop 14th April, 2015 Image sources:

2 Simple fantasy model Wind? Demand PV? Image sources:

3 Calliope Rationale and Design Decisions Separate most code ( framework ) from data ( model ) Model configuration and data easily human-readable, machine-processible and version-trackable: CSV and YAML High spatial and temporal resolution; dynamic time resolution Hybrid planning-operational models Able to run on high-performance computing clusters for sensitivity analysis As many free/open components as possible

4 Input data ( model ) W? D P? Optimization: (commercial) solver Results and analysis: Tables and graphs Results Image sources: Own illustrations

5 Calliope Rationale and Design Decisions Separate most code ( framework ) from data ( model ) Model configuration and data easily human-readable, machine-processible and version-trackable: CSV and YAML High spatial and temporal resolution; dynamic time resolution Hybrid planning-operational models Able to run on high-performance computing clusters for sensitivity analysis As many free/open components as possible

6 YAML configuration example

7 Calliope Rationale and Design Decisions Separate most code ( framework ) from data ( model ) Model configuration and data easily human-readable, machine-processible and version-trackable: CSV and YAML High spatial and temporal resolution; dynamic time resolution Hybrid planning-operational models Able to run on high-performance computing clusters for sensitivity analysis As many free/open components as possible

8 Dynamic timesteps Wind power Time Solar power Time high resolution low resolution Time

9 Calliope Rationale and Design Decisions Separate most code ( framework ) from data ( model ) Model configuration and data easily human-readable, machine-processible and version-trackable: CSV and YAML High spatial and temporal resolution; dynamic time resolution Hybrid planning-operational models Able to run on high-performance computing clusters for sensitivity analysis As many free/open components as possible

10 Scenarios for the UK power system Stefan Pfenninger and James Keirstead. Renewables, nuclear, or fossil fuels? Scenarios for Great Britain's power system considering costs, emissions and energy security. Submitted to Applied Energy (under review).

11 Thoughts on going open source (1) Paper Model Supplementary Materials Model for paper Framework Framework Documentation Framework Code Text Code/data

12 Thoughts on going open source (2)

13 Contact Sign up for s on new releases: Project website and documentation: Project code: (Apache 2.0 license)