Some Russian studies fail to do so If the effects of high carbon prices are simulated, it should be also recognized that: price elasticities are not constant – the higher the carbon price, the higher the elasticity when energy cost share (ECS) exceeds the upper limit, economic growth rates decline (Ty and Pen are not independent anymore) “Minus one” phenomena should be accounted for - in a 25-33 y. [...] 29 years after the publication (1992) other solid Can we learn the lessons of the future? Yes, we can! Another methodology to REN translate power to TPES Multiply by 3 Projected shares of energy resources fit the reality quite well Cloud (set) of 10 models used for Russia’s long-term LCDS INDEEMOD The model set is built around the core Моденль TRANS- ИГКЭ GHG multisectorial model – ENERGYBAL-GEM-2. [...] It is based on the RF energy balance, but also includes emissions from industrial processes, waste, and agriculture Parameters are calibrated based on data for 2000-2019 Includes 10 sectors and 40 activities within these sectors, 9 primary and secondary energy carriers plus some activities for waste and agriculture Assesses energy use by carriers, sectors and activities, GHG emissions, other atmos. [...] Parameters are calibrated based on Export structure data for 1995-2019 5 blocks GDP (supply and demand) Prices and exchange rate Investments Balance of payments Oil and gas revenues share in consolidated budget Consolidated budget Oil and gas exports and export oil prices are exogenous Domestic fuel use comes from ENERGYBAL-GEM-2050 17 Model for Power and Heat sector - P&HMOD Engineering model Cap. [...] Parameters are calibrated based on data for 2000-2019 Two types of buildings – multifamily and individual 9 types of energy use – heating and Structure of lighting sources ventilation, hot water, air conditioning, cooking, lighting, refrigeration, dishwashing, TVs and other appliances 7 energy carriers On-site (micro) power and heat generation Evolution of building stock and Electricity use by pro.
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- Russia