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João Cleto, Sofia Simões, Patrícia Fortes, Júlia Seixas

The role of cost-effective measures in Portugal for compliance with the EU climate-energy targets. João Cleto, Sofia Simões, Patrícia Fortes, Júlia Seixas. Research work funded by the FCT/MCES and POCI 2010, supported by FEDER. TIMES-PT. European Projects.

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João Cleto, Sofia Simões, Patrícia Fortes, Júlia Seixas

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  1. The role of cost-effective measures in Portugal for compliance with the EU climate-energy targets João Cleto, Sofia Simões, Patrícia Fortes, Júlia Seixas Research work funded by the FCT/MCES and POCI 2010, supported by FEDER

  2. TIMES-PT European Projects Portuguese Project and Policy Support • Quantifying the Synergies and Antagonisms Between Energy and Environment Policy Instruments in Place – feed-in tariffs, EU ETS and on-budget aids to gas infrastructures; • Energy and GHG Emissions – Evaluation of Long Term Scenarios for Portugal; • Renewable Energy Sources Availability under Climate Change Scenarios – Impacts on the Portuguese Energy System; • Evaluation of the Energy Savings Potential of the Portuguese Households; • Competitiveness of Portuguese Industry in Post-Kyoto EUTS: Sector CO2 MAC; • Portugal Climate 2020: GHG Emission Scenarios in the Post-Kyoto regime • H2 technologies roadmap for Portugal for 2050

  3. TIMES-PT Updates • Energy demand: • based on 2008 macro-economic and demographic scenarios – industry (validated) • bottom-up approach to compute residential, commercial and transport energy service demand • Technology database: • validation of the industry, transport, solar thermal and electricity production technologies by the Portuguese stakeholders • Delivery Costs • EU-ETS • emissions disaggregated and possibility to model acquisition of allowances at different price and allocation scenarios

  4. The role of cost-effective measures in Portugal for compliance with the EU climate-energy targets What is the contribution of “ cost-effective measures” in the residential and commercial sectors for GHG emission targets? What are the hidden gains if changes in behaviour and technologies follow a perfect knowledge pattern?

  5. Scenarios BAU BAUeff PQ PQeff Analyzed: Non-trend “zero cost” - Renew. and biofuels + Renew. and biofuels • 5% biofuels beyond 2010 • 31% of renewable electricity in 2010 • 10% biofuels beyond 2010 • 45% of renewable electricity in 2010 Not analyzed: Trend “zero cost” (e.g. Lighting, refrigeration) Baseline Evolution based on 2000- 2005 trends (e.g. diesel lessons from past) “zero cost measures” Insulation, renewable heat, fuel shifts • Maintenance of the current energy consumption and supply patrons: • No fuel shifts • No insulation • No green heat

  6. Final energy demand in 2020

  7. Fuel and Technology change 2005 – 2020 Residential – heating, cooling, water heating 38% 43% 17% 20% 31% 31% 25% 21% 51% 49% Biomass heat Natural gas Solar thermal 37% 37% 2020

  8. Fuel and Technology change 2005 – 2020 Comercial –heating, cooling, water heating 31% 31% 21% 74% 21% 74% Oil Heat Pumps Solar thermal 47% 47% 2020

  9. GHG Emissions in 2020 -2 % -3 to -0% -63 to -71% -3 to 0% +2%

  10. Renewables

  11. Conclusions & remarks • Savings of roughly 3 M€ (0.1% of GDP) • Possible bias in results • Biomass statistical info on biomass may be biasing results for residential sector • Diesel in commercial sector – trend evolution possible? • Policy implications • Current policies for implementation of these measures are not ambitious enough and do not realize the full low hanging fruits potential • Next steps • fully evaluate cost-effective options on remaining sectors

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