2011
DOI: 10.5593/sgem2015/b41/s19.119
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Development of Latvia Greenhouse Gas Reduction Policy: Modelling and Analysis

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“…The model integrates the end-use sectors and the supply side, holding descriptions of different energy sources and carriers that pass through the stages of energy system -transformation and distribution processes, energy end-use processes in all economic sectors, including a set of technological and energy efficiency options, as well as associated emissions. The approach of MARKAL Elastic Demand is used and a more detailed description of the Latvian model is given [4]. Alongside a very detailed description of the energy system, modelling of GHG emissions in other sectors (agriculture and waste management) and GHG abatement cost curves are presented.…”
Section: Modelling Methods and Assumptionsmentioning
confidence: 99%
“…The model integrates the end-use sectors and the supply side, holding descriptions of different energy sources and carriers that pass through the stages of energy system -transformation and distribution processes, energy end-use processes in all economic sectors, including a set of technological and energy efficiency options, as well as associated emissions. The approach of MARKAL Elastic Demand is used and a more detailed description of the Latvian model is given [4]. Alongside a very detailed description of the energy system, modelling of GHG emissions in other sectors (agriculture and waste management) and GHG abatement cost curves are presented.…”
Section: Modelling Methods and Assumptionsmentioning
confidence: 99%
“…System dynamics modeling results show that under the existing policy regime, GHG emissions may by 2030 increase by 19% above the 2005 level [14]. Modeling with linear programming optimization MARKAL, Latvia's model predicts that taking into account national economic development forecasts comprising the existing GHG emission reduction policies and measures, emissions in 2030 may increase significantly (up to 26.5%) compared to 2005 [15]. Investigations [14][15][16][17] show that in the agricultural sector, it may be difficult or impossible to reduce non-ETS emissions below the 2005 level.…”
Section: Introductionmentioning
confidence: 99%