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Cost of energy and environmental policy in Portuguese CO2 abatement--scenario analysis to 2020

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  • Simões, Sofia
  • Cleto, João
  • Fortes, Patri­cia
  • Seixas, Júlia
  • Huppes, Gjalt

Abstract

This paper quantifies the contribution of Portuguese energy policies for total and marginal abatement costs (MAC) for CO2 emissions for 2020. The TIMES_PT optimisation model was used to derive MAC curves from a set of policy scenarios including one or more of the following policies: ban on nuclear power; ban on new coal power plants without carbon sequestration and storage; incentives to natural gas power plants; and a cap on biomass use. The different MAC shows the policies' effects in the potential for CO2 abatement. In 2020, in the most encompassing policy scenario, with all current and planned policies, is possible to abate only up to +35% of 1990 emissions at a cost below 23Â [euro]Â t/CO2. In the more flexible policy scenarios, it is possible to abate up to -10% of 1990 emissions below the same cost. The total energy system costs are 10-13% higher if all policies are implemented--76 to 101Â B[euro]--roughly the equivalent to 2.01-2.65% of the 2005 GDP. Thus, from a CO2 emission mitigation perspective, the existing policies introduce significant inefficiencies, possibly related to other policy goals. The ban on nuclear power is the instrument that has the most significant effect in MAC.

Suggested Citation

  • Simões, Sofia & Cleto, João & Fortes, Patri­cia & Seixas, Júlia & Huppes, Gjalt, 2008. "Cost of energy and environmental policy in Portuguese CO2 abatement--scenario analysis to 2020," Energy Policy, Elsevier, vol. 36(9), pages 3598-3611, September.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:9:p:3598-3611
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    References listed on IDEAS

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    3. Das, Anjana & Rossetti di Valdalbero, Domenico & Virdis, Maria R., 2007. "ACROPOLIS: An example of international collaboration in the field of energy modelling to support greenhouse gases mitigation policies," Energy Policy, Elsevier, vol. 35(2), pages 763-771, February.
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