Prepare data for pathway optimisation with sector coupling

Heating

• Today's split of heating technologies in each country: district heating / gas boiler / oil boiler (JRC IDEES in "residential" and "tertiary")
• Approximations of age distribution of heating infrastructure (assumption e.g. 25% 5 years old, 25% 10 years old, etc.)
• Capital costs and fuel costs over time

Transport

• Number of vehicles in each country (JRC IDEES)
• Distribution of their ages, or make assumption (e.g. 25% 5 years old, etc.), could be different in different countries
• EITHER cost prediction for EVs over time (e.g. from Bloomberg NEF or Fraunhofer IEE or EnergyPLAN) OR exogenous share of EV over time

Industry

• Costs of different production pathways, e.g. blast furnace versus DRI + electric furnace, to determine substitution pathway (Christian Breyer has researched some of these costs) OR exogenous pathway

Other studies

Fraunhofer IEE (formerly IWES) has cost assumptions over time for vehicles, heating, etc., as does Palzer PhD thesis, see e.g. references in Synergies of Sector Coupling paper, e.g.
http://www.energiesystemtechnik.iwes.fraunhofer.de/de/projekte/suche/laufende/interaktion_strom_waerme_verkehr.html
has diesel versus petrol versus EV for DE until 2050, see e.g. Figure 0-9, costs in Table 10-35 (beware battery costs too high since study is old).