IDEAS home Printed from https://ideas.repec.org/p/zbw/fisisi/s102014.html
   My bibliography  Save this paper

Monitoring of the "Energiewende": Energy efficiency indicators for Germany

Author

Listed:
  • Schlomann, Barbara
  • Reuter, Matthias
  • Lapillonne, Bruno
  • Pollier, Karine
  • Rosenow, Jan

Abstract

The increasing number of energy and climate targets both at national and international level induces a rising demand for regular monitoring. In this paper, we analyse the possibilities and limits of using energy efficiency indicators as a tool for monitoring these targets. We refer to the energy efficiency targets of the German Energiewende and calculate and discuss several energy efficiency indicators for Germany both at the level of the overall economy and the main energy consumption sectors. We make use of the energy efficiency indicator toolbox that we have developed within the ODYSSEE database in recent years and find that there is still a considerable gap to close to achieve the overall energy efficiency targets in Germany by 2020. We also show that progress in energy efficiency slowed down between 2008 and 2012, i.e. compared to the base year of most of the German energy efficiency targets and find that energy efficiency progress in the industrial sector during the last decade has been especially slow. We conclude that improvements in energy efficiency have to speed up considerably in order to achieve the targets for 2020. Although the use of energy efficiency indicators is limited by data constraints and some methodological problems, these indicators give a deep insight into the factors determining energy consumption and can therefore complement the official monitoring process of the German Energiewende which only relies on highly aggregated indicators for energy efficiency.

Suggested Citation

  • Schlomann, Barbara & Reuter, Matthias & Lapillonne, Bruno & Pollier, Karine & Rosenow, Jan, 2014. "Monitoring of the "Energiewende": Energy efficiency indicators for Germany," Working Papers "Sustainability and Innovation" S10/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).
  • Handle: RePEc:zbw:fisisi:s102014
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/98734/1/78953262X.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schipper, Lee, 1979. "Another Look at Energy Conservation," American Economic Review, American Economic Association, vol. 69(2), pages 362-368, May.
    2. Ang, B.W., 1995. "Decomposition methodology in industrial energy demand analysis," Energy, Elsevier, vol. 20(11), pages 1081-1095.
    3. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    4. Worrell, Ernst & Price, Lynn & Martin, Nathan & Farla, Jacco & Schaeffer, Roberto, 1997. "Energy intensity in the iron and steel industry: a comparison of physical and economic indicators," Energy Policy, Elsevier, vol. 25(7-9), pages 727-744.
    5. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2010. "Monitoring energy efficiency trends in European industry: Which top-down method should be used?," Energy Policy, Elsevier, vol. 38(11), pages 6910-6918, November.
    6. Salta, Myrsine & Polatidis, Heracles & Haralambopoulos, Dias, 2009. "Energy use in the Greek manufacturing sector: A methodological framework based on physical indicators with aggregation and decomposition analysis," Energy, Elsevier, vol. 34(1), pages 90-111.
    7. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    8. Farla, Jacco C.M & Blok, Kornelis, 2000. "The use of physical indicators for the monitoring of energy intensity developments in the Netherlands, 1980–1995," Energy, Elsevier, vol. 25(7), pages 609-638.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eyre, Nick & Baruah, Pranab, 2015. "Uncertainties in future energy demand in UK residential heating," Energy Policy, Elsevier, vol. 87(C), pages 641-653.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    2. Norman, Jonathan B., 2017. "Measuring improvements in industrial energy efficiency: A decomposition analysis applied to the UK," Energy, Elsevier, vol. 137(C), pages 1144-1151.
    3. Ang, B.W. & Xu, X.Y., 2013. "Tracking industrial energy efficiency trends using index decomposition analysis," Energy Economics, Elsevier, vol. 40(C), pages 1014-1021.
    4. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    5. Salta, Myrsine & Polatidis, Heracles & Haralambopoulos, Dias, 2009. "Energy use in the Greek manufacturing sector: A methodological framework based on physical indicators with aggregation and decomposition analysis," Energy, Elsevier, vol. 34(1), pages 90-111.
    6. Hasanbeigi, Ali & de la Rue du Can, Stephane & Sathaye, Jayant, 2012. "Analysis and decomposition of the energy intensity of California industries," Energy Policy, Elsevier, vol. 46(C), pages 234-245.
    7. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    8. Chontanawat, Jaruwan & Wiboonchutikula, Paitoon & Buddhivanich, Atinat, 2014. "Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand," Energy, Elsevier, vol. 77(C), pages 171-182.
    9. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Combining physical and economic output data to analyse energy and CO2 emissions trends in industry," Energy Policy, Elsevier, vol. 49(C), pages 422-429.
    10. Xianrui Liao & Wei Yang & Yichen Wang & Junnian Song, 2019. "Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    11. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
    12. Duran, Elisa & Aravena, Claudia & Aguilar, Renato, 2015. "Analysis and decomposition of energy consumption in the Chilean industry," Energy Policy, Elsevier, vol. 86(C), pages 552-561.
    13. Schenk, Niels J. & Moll, Henri C., 2007. "The use of physical indicators for industrial energy demand scenarios," Ecological Economics, Elsevier, vol. 63(2-3), pages 521-535, August.
    14. Diakoulaki, D. & Mavrotas, G. & Orkopoulos, D. & Papayannakis, L., 2006. "A bottom-up decomposition analysis of energy-related CO2 emissions in Greece," Energy, Elsevier, vol. 31(14), pages 2638-2651.
    15. Bor, Yunchang Jeffrey, 2008. "Consistent multi-level energy efficiency indicators and their policy implications," Energy Economics, Elsevier, vol. 30(5), pages 2401-2419, September.
    16. Ali Faridzad & Mahta Ghafarian Ghadim, 2023. "CO2 intensity decomposition analysis in the Netherlands' manufacturing industry: an application of monetary and physical indicators," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8799-8817, August.
    17. Nishijima, Daisuke, 2017. "The role of technology, product lifetime, and energy efficiency in climate mitigation: A case study of air conditioners in Japan," Energy Policy, Elsevier, vol. 104(C), pages 340-347.
    18. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    19. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    20. Fernández, Esteban & Fernández, Paula, 2008. "An extension to Sun's decomposition methodology: The Path Based approach," Energy Economics, Elsevier, vol. 30(3), pages 1020-1036, May.

    More about this item

    Keywords

    energy efficiency targets; target monitoring; energy efficiency indicators; decomposition analysis; German Energiewende;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:fisisi:s102014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/isfhgde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.