The assumptions for c_b and c_v and eta were arranged assuming
extraction plants (like the coal CHP in DEA).
However, if you look in DEA assumptions at "09b Wood Pellets Medium"
(used for solid biomass CHP) and "Gas turbine simple cycle (large)"
(used for gas CHP) they are not extraction plants but back pressure
plants.
The back pressure coefficient in DEA c_b is simply
c_b = name plate electricity efficiency / name plate heat efficiency
both measured when both heat and electricity are produced at maximum.
For the extraction plants, the efficiency was measured in condensation
mode, i.e. no heat production.
In almost 99.5% of cases the CHP dispatches along the backpressure
line where heat output is proportional to electricity output.
So we can switch to a single link to avoid the burden of modelling the
full electricity-heat feasibility space of CHPs.
This only applies to large CHPs in district heating networks.
* release_notes: order for release
* doc: fix smaller typos and tidy up
* config: bump version
* doc: fix line references
* doc: bump confpy version
* envs: update fixed versions yaml
* Snakefile: simplify all_elec to all
* fix clustering of offwind-ac and offwind-dc in sites option
* add release nodes
* attach renewable assets by location (lat and lon) from OPSD register to network
* adapt default config to changes
* undo changes from a differen PR in cluster_network.py
* undo changes from a different PR, add release notes for this PR
* correct release notes
* add comments for relevant settings in add_electricity.py
* adjust configtable for electricity to OPSD renewable option and add estimate_renewable_capacities_from_capacitiy_stats
* reset cluster_network to HEAD
* add_electricity: Capacity is float
* config: add GB to OPSD_VRE_countries
* review and modify implementation
* update release notes
* Update envs/environment.yaml
Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
Co-authored-by: martha.frysztacki <eb5194@iai-esm003.iai.kit.edu>
Co-authored-by: eb5194 <martha.frysztacki@kit.edu>
Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
* add option to use custom clustermaps from data folder
* adapt default config to custom busmap
* input file from Snakefile
* adapt input description
* add option to use custom clustermaps from data folder
* adapt default config to custom busmap
* input file from Snakefile
* adapt input description
* Snakefile: custom_busmap in cluster_network input is now csv
* cluster_network: custom_busmap is now read as csv file, adaptions of description
* simplify_network: adapt descriptions
* configfiles: add cutom_clustermaps switch
* unify clustarmap and busmap names
* unify clustermap and busmap names
* test/config: unify clustermap and busmap names
* cluster_network: make clustering_for_n_clusters compatible with simplify_network
* simplify_network: make compatible with changes in cluster_network.py
* Update scripts/cluster_network.py
* Update scripts/simplify_network.py
* Update scripts/simplify_network.py
* Update scripts/cluster_network.py
* Update scripts/cluster_network.py
* cluster_network: move custom_busmap flag to enable; simplify names
* cluster_network: move custom_busmap flag to enable; simplify names
* custom_busmap: add documentation
* cluster_network: add default for custom_busmap for compatibility with old configs
* cluster_network: add default for custom_busmap for compatibility with old configs
Co-authored-by: martha.frysztacki <eb5194@iai-esm003.iai.kit.edu>
Co-authored-by: Fabian Neumann <fabian.neumann@outlook.de>
* no defaults channel in environment.yaml
* GIS from conda-forge
* remove channel pinning and add descartes via conda
* remove geopandas version restriction
* travis: remove duplicated conda list
Specify as dictionary, use get_parameter to get correct value.
Also remove old parameter "space_heating_fraction" since this is
superceded by the new exogenous retro code.
It is identical to config.default.yaml except for two parameters
(foresight and planning_horizons) so I decided to consolidate the
example configs. Instructions for how to use the myopic foresight can
be found in the documentation (now updated).
Strategy is too keep as much of configuration in config.yaml as
possible.
We also aim to allow exogenous investment-year-dependent
configurations to be done in a similar manner (e.g. share of district
heating or FCEV transport).