From 98d54de8e6f544f62ea001f9f45fd3e302b45b09 Mon Sep 17 00:00:00 2001 From: Fabian Neumann Date: Mon, 6 May 2024 10:03:46 +0200 Subject: [PATCH] simplify image paths --- doc/index.rst | 2 +- doc/spatial_resolution.rst | 4 ++-- doc/supply_demand.rst | 14 +++++++------- doc/validation.rst | 4 ++-- 4 files changed, 12 insertions(+), 12 deletions(-) diff --git a/doc/index.rst b/doc/index.rst index 840b6208..e23744e1 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -74,7 +74,7 @@ greenhouse gas emitters except waste management, agriculture, forestry and land use. The diagram below gives an overview of the sectors and the links between them: -.. image:: ../doc/img/multisector_figure.png +.. image:: img/multisector_figure.png :width: 70% :align: center diff --git a/doc/spatial_resolution.rst b/doc/spatial_resolution.rst index b686e8ed..76228ad8 100644 --- a/doc/spatial_resolution.rst +++ b/doc/spatial_resolution.rst @@ -15,11 +15,11 @@ The total number of nodes for Europe is set in the ``config/config.yaml`` file u Exemplary unsolved network clustered to 512 nodes: -.. image:: ../doc/img/elec_s_512.png +.. image:: img/elec_s_512.png Exemplary unsolved network clustered to 37 nodes: -.. image:: ../doc/img/elec_s_37.png +.. image:: img/elec_s_37.png The total number of nodes for Europe is set in the ``config/config.yaml`` file under `clusters `__. The number of nodes can vary between 37, the number of independent countries/synchronous areas, and several hundred. With 200-300 nodes, the model needs 100-150 GB RAM to solve with a commercial solver like Gurobi. Not all of the sectors are at the full nodal resolution, and some demand for some sectors is distributed to nodes using heuristics that need to be corrected. Some networks are copper-plated to reduce computational times. diff --git a/doc/supply_demand.rst b/doc/supply_demand.rst index 9ed0dc78..6015879b 100644 --- a/doc/supply_demand.rst +++ b/doc/supply_demand.rst @@ -18,7 +18,7 @@ management, carbon capture and usage/sequestration, and gas networks. The basic supply (left column) and demand (right column) options in the model are described in this figure: -.. image:: ../doc/img/multisector_figure.png +.. image:: img/multisector_figure.png .. _Electricity supply and demand: @@ -72,11 +72,11 @@ For every country, heat demand is split between low and high population density Cooling is electrified and is included in the electricity demand. Cooling demand is assumed to remain at current levels. An example of regional distribution of the total heat demand for network 181 regions is depicted below. -.. image:: ../doc/img/demand-map-heat.png +.. image:: img/demand-map-heat.png As below figure shows, the current total heat demand in Europe is similar to the total electricity demand but features much more pronounced seasonal variations. The current total building heating demand in Europe adds up to 3084 TWh/a of which 78% occurs in urban areas. -.. image:: ../doc/img/Heat_and_el_demand_timeseries.png +.. image:: img/Heat_and_el_demand_timeseries.png In practice, in PyPSA-Eur-Sec, there are heat demand buses to which the corresponding heat demands are added. @@ -269,7 +269,7 @@ The existing European gas transmission network is represented based on the SciGR The following figure shows the unclustered European gas transmission network based on the SciGRID Gas IGGIELGN dataset. Pipelines are color-coded by estimated capacities. Markers indicate entry-points, sites of fossil resource extraction, and LNG terminals. -.. image:: ../doc/img/gas_pipeline_figure.png +.. image:: img/gas_pipeline_figure.png .. _Biomass supply: @@ -374,7 +374,7 @@ Where process heat is required, our approach depends on the necessary temperatur The following figure shows the final consumption of energy and non-energy feedstocks in industry today in comparison to the scenario in 2050 assumed in `Neumann et al `__. -.. image:: ../doc/img/fec_industry_today_tomorrow.png +.. image:: img/fec_industry_today_tomorrow.png The following figure shows the process emissions in industry today (top bar) and in 2050 without @@ -383,12 +383,12 @@ carbon capture (bottom bar) assumed in `Neumann et al `__, which is illustrated in the figure below. This open database includes georeferenced industrial sites of energy-intensive industry sectors in EU28, including cement, basic chemicals, glass, iron and steel, non-ferrous metals, non-metallic minerals, paper, and refineries subsectors. The use of this spatial dataset enables the calculation of regional and process-specific energy demands. This approach assumes that there will be no significant migration of energy-intensive industries. -.. image:: ../doc/img/hotmaps.png +.. image:: img/hotmaps.png .. _Iron and Steel: diff --git a/doc/validation.rst b/doc/validation.rst index bfc8e40b..b32a786d 100644 --- a/doc/validation.rst +++ b/doc/validation.rst @@ -29,11 +29,11 @@ Results By the time of writing the comparison with the historical data shows partially accurate, partially improvable results. The following figures show the comparison of the dispatch of the different carriers. -.. image:: ../doc/img/validation_seasonal_operation_area_elec_s_37_ec_lv1.0_Ept.png +.. image:: img/validation_seasonal_operation_area_elec_s_37_ec_lv1.0_Ept.png :width: 100% :align: center -.. image:: ../doc/img/validation_production_bar_elec_s_37_ec_lv1.0_Ept.png +.. image:: img/validation_production_bar_elec_s_37_ec_lv1.0_Ept.png :width: 100% :align: center