Skip to main content

Advertisement

Log in

Cost-effectiveness of CO2 emissions reduction through energy efficiency in Brazilian building sector

  • Review Article
  • Published:
Energy Efficiency Aims and scope Submit manuscript

Abstract

This paper calculates the cost-effectiveness of CO2 emissions reduction in Brazilian buildings sector. The evaluation takes into account the implementation of three public policy mechanisms which the focus is the promotion of energy efficiency (EE). The mechanisms evaluated are minimum energy performance standards (MEPS), EE requirements in public procurement regulation, and building codes. The evaluation performed through marginal abatement cost curves (MACC) shows a wide range of cost-effective EE measures, i.e., EE technologies that represent negative abatement costs once the additional investments in EE are paid back through energy savings. The main specific findings are that (1) MEPS could be broader and reach the use of energy in standby mode and tubular fluorescent lamps and should be more stringent, mainly in the case of large air conditioning devices, and (2) there is a significant cost-effective potential of emissions reduction that could be captured through mechanisms not implemented yet in the country, as public procurement regulation and building codes. In general, the total impacts are very significant and could represent an energy saving potential of 795 TWh and emissions reduction of 74 million tons of CO2 over the period from the year 2014 to the year 2030.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. In the year 2005, the total emissions of CO2-equivalent in Brazil was 2.2 billion of tons, which represented approximately 4.5 % of global emissions in the same year. The sector “change in land use and forestry,” which includes the deforestation in the Amazon and other biomes (Cerrado, Caatinga, Pantanal, Pampas, and Atlantic forest) took part with 61 % of these emissions (MCT 2010).

  2. Vine et al (2003) define public policy mechanisms as “initiatives that aim to overcome policy and program barriers that prevent the pursuit of cost-effective energy efficiency and load management activities and the achievement of national energy policy goals.”

  3. Expert-based approaches are one means of deriving estimates of the expected costs and energy savings of a particular measure to be included in the marginal cost curves.

  4. P means “Padrões,” that is the translation for standards in Brazilian-Portuguese language.

  5. PROCEL is the Brazilian National Program of Electric Energy Conservation and its “PROCEL” label is a voluntary label which aims to offer a way to distinguish the most efficient products in a particular category. Originally focused on home appliances (refrigerators, freezers, washing machines, and air conditioners), the PROCEL label is now taking aim at labeling consumer electronic products such as set-top boxes, computer monitors, DVDs, and TVs.

  6. It is the discounting rate applied in the National Energy Plan 2030 (EPE 2007).

References

  • Brown, M. A. (2014). “Innovative Energy-Efficiency Policies: An International Review,” Wiley Interdisciplinary Reviews (WIREs): Energy and Environment.

  • DECC. (2012). Statistical Release—2011 UK greenhouse gas emissions, provisional figures and 2010 UK greenhouse gas emissions, final figures by fuel type and end-user. London: Department of Energy & Climate Change.

    Google Scholar 

  • DOE. (2012). China’s Building Energy Use: A Long-Term Perspective based on a Detailed Assessment. Washington: Pacific Northwest National Laboratory.

    Google Scholar 

  • EIA. (2009). Emissions of greenhouse gases in the United States. Washington: U.S. Energy Information Administration.

    Google Scholar 

  • ELETROBRAS (2005). Survey of Appliances and Consumer Habits. Available at: http://www.eletrobras.com/pci/main.aspS (accessed in May 2008).

  • EPE. (2007). Plano Nacional de Energia 2030. Rio de Janeiro: Empresa de Pesquisa Energética.

    Google Scholar 

  • EPE. (2011). Projeção da demanda de energia elétrica para os próximos 10 anos (2011-2020). Rio de Janeiro: Empresa de Pesquisa Energética.

    Google Scholar 

  • FEMP (2013). Federal Energy Management Program. [Online] Available at: http://www1.eere.energy.gov/femp/technologies/eep_resources.html.

  • IEA. (2005). Evaluating Energy Efficiency Policy Measures & DSM Programmes Volume I Evaluation Guidebook. Paris: International Energy Agency.

    Google Scholar 

  • IEA. (2008). Energy Technology and Perspectives 2008 – Scenarios & Strategies to 2050. Paris: International Energy Agency.

    Google Scholar 

  • IEA. (2011). CO2 Emissions from Fuel Combustion—Annual Historical Series (1971–2010). Paris: International Energy Agency.

    Google Scholar 

  • INMETRO (2012). National Institute of Metrology, Quality and Technology. Tabelas de consumo/eficiência energética. Available at: http://www.inmetro.gov.br/consumidor/tabelas.asp.

  • IPCC. (2007). Climate Change 2007. Final report of Working Group 3. London: Cambridge University Press.

    Google Scholar 

  • Jannuzzi, G. M., & Melo, C. A. (2012). Grid-connected photovoltaic in Brazil: Policies and potential impacts for 2030. Energy for Sustainable Development, 17(2013), 40–46.

    Google Scholar 

  • Jannuzzi, G. M., Melo, C. A., Tripodi, A. (2012). Políticas Públicas para Promoção da Eficiência Energética no Brasil: Uma Análise Multicritério. [Online] Available at: 〈http://www.iei-la.org/index.php/publications/politicas-publicas-para-promocao-da-eficiencia-energetica-e-microgeracao-renovavel-em-edificacoes-no-brasil-uma-analise-multicriterio〉.

  • Kesicki (2010). Marginal abatement cost curves for policy making – expert-based vs. model-derived curves. Paper presented at the 33rd IAEE International Conference, 6-9 June 2010, Rio de Janeiro, Brazil.

  • McKinsey & Company. (2009). Pathways to a low carbon economy v 2.0. São Paulo: McKinsey & Company.

    Google Scholar 

  • MCT. (2010). Segundo Inventário Brasileiro sobre Mudanças Climáticas. Brasília: Ministério de Ciência e Tecnologia e Inovação.

    Google Scholar 

  • Melo, C., & Jannuzzi, G. (2010). Energy efficiency standards for refrigerators in Brazil: a methodology for impact evaluation. Energy Policy, 38, 6545–6550.

    Article  Google Scholar 

  • Melo, C. A., Jannuzzi, G. M., & Tripodi, A. (2013). Evaluating public policy mechanisms for climate change mitigation in Brazilian buildings sector. Energy Policy, 61, 1200–1211.

    Article  Google Scholar 

  • MME &EPE (2011). National Energy Balance. Available at: http://www.epe.gov.br.

  • PBL. (2012). Trends in global CO2 emissions - 2012 Report. The Hague: PBL Netherlands Environmental Assessment Agency.

    Google Scholar 

  • UNEP. (2007a). Assessment of policy instruments for reducing greenhouse gas emissions from buildings. Budapeste: United Nations Environment Programme.

    Google Scholar 

  • UNEP. (2007b). Buildings and Climate Change Status, Challenges and Opportunities. Nairobi: United Nations Environment Programme.

    Google Scholar 

  • UNEP. (2009). Greenhouse Gas Emission Baselines and Reduction Potentials from Buildings in South Africa. Paris: United Nations Environment Programme – Sustainable Buildings & Climate Initiative.

    Google Scholar 

  • Vine, E., Hamrin, J., Eyre, N., Crossley, D., Maloney, M., & Watt, G. (2003). Public policy analysis of energy efficiency and load management in changing electricity businesses. Energy Policy, 31, 405–430.

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the support provided by FAPESP (São Paulo Research Foundation) in the context of the project entitled “The evaluation of energy efficiency and CO2 equivalent abatement potentials according to different technology dissemination policies: guidelines to public policy-makers” financed by (FAPESP) which is part of the FAPESP Research Program on Global Climate Change (RPGCC).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Conrado Augustus de Melo.

Appendix Parameters and assumptions for appliances

Appendix Parameters and assumptions for appliances

Table 4 Parameters and assumptions for refrigerators
Table 5 Parameters and assumptions for air conditioning devices
Table 6 Parameters and assumptions for lamps
Table 7 Parameters and assumptions for standby power

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Melo, C.A., de Martino Jannuzzi, G. Cost-effectiveness of CO2 emissions reduction through energy efficiency in Brazilian building sector. Energy Efficiency 8, 815–826 (2015). https://doi.org/10.1007/s12053-014-9322-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12053-014-9322-2

Keywords

Navigation