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Quantifying the savings of an industry energy efficiency programme

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Abstract

In a developed economy, improving the energy performance of the industry sector can make an important contribution to achieving national energy efficiency goals. Policy measures aimed at increasing energy efficiency in industry must be proven to be effective. In Ireland one such measure is the Large Industry Energy Network (LIEN) programme. LIEN is a voluntary network of large energy users, facilitated by the national energy agency, working to maintain strong energy management practices. In this paper, we combine top-down methods for analysing national energy statistics with company-level figures supplied by LIEN participants to quantify the energy savings achieved by the companies and to determine the fraction of national savings that can be attributed to them. By comparing the collective performance of participant companies with the performance of the rest of industry we provide an indication of the effectiveness of the programme and quantify the savings that may be directly attributable to it. These figures when combined with national energy forecasts for industry help us assess the likely contribution of the programme to future national energy savings targets.

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References

  • Alcott, B. (2005). Jevons’ paradox. Ecological Economics, 54(1), 9–21.

    Article  Google Scholar 

  • Allan, G., Hanley, N., McGregor, P., Swales, K., & Turner, K. (2007). The impact of increased efficiency in the industrial use of energy: a computable general equilibrium analysis for the United Kingdom. Energy Economics, 29(4), 779–798.

    Article  Google Scholar 

  • Ang, B. W., & Liu, N. (2007). Energy decomposition analysis: IEA model versus other methods. Energy Policy, 35(3), 1426–1432.

    Article  Google Scholar 

  • Ang, B. W., Zhang, F. Q., & Choi, K.-H. (1998). Factorizing changes in energy and environmental indicators through decomposition. Energy, 23(6), 489–495.

    Article  Google Scholar 

  • Ang, B. W., Liu, F. L., & Chew, E. P. (2003). Perfect decomposition techniques in energy and environmental analysis. Energy Policy, 31(14), 1561–1566.

    Article  Google Scholar 

  • Bergin, A., Conefrey, T., FitzGerald, J. D., & Kearney, I. (2009). Recovery scenarios for Ireland. Dublin: The Economic and Social Research Institute.

    Google Scholar 

  • Bertoldi, P., & Rezessy, S. (2007). Voluntary agreements for energy efficiency: review and results of European experiences. Energy & Environment, 18(1), 37–73. doi:10.1260/095830507780157258.

    Article  Google Scholar 

  • Boonekamp, P. (2011). How much will the energy service directive contribute to the 20% EU energy savings goal? Energy Efficiency, 4(2), 285–301, doi:10.1007/s12053-010-9088-0.

  • Bosseboeuf, D., & Lapillonne, B. (2009). Top down methodologies to assess energy savings for the energy service directive. Paper presented at the ECEEE 2009 Summer Study, La Colle sur Loup, France, June 2009.

  • Brookes, L. (2000). Energy efficiency fallacies revisited. Energy Policy, 28(6–7), 355–366.

    Article  Google Scholar 

  • Cahill, C., & Ó Gallachóir, B. P. (2010). Monitoring energy efficiency trends in European industry: which top-down method should be used? Energy Policy, 38(11), 6910–6918.

    Article  Google Scholar 

  • Cahill, C., Bazilian, M., & Ó Gallachóir, B. (2010a). Comparing ODEX with LMDI to measure energy efficiency trends. Energy Efficiency. doi:10.1007/s12053-009-9075-5.

  • Cahill, C., Daly, H., Rogan, F., & Dineen, D. (2010). Functional design specification for LEAP energy demand model for Ireland, version 1.0. Dublin: Sustainable Energy Authority of Ireland.

    Google Scholar 

  • CEN/CENELEC. (2009). European Standard EN 16001:2009 Energy management systems—Requirements with guidance for use. Brussels: CEN European Committee for Standardisation.

    Google Scholar 

  • Central Statistics Office. (2010). Central statistics office database dissemination service. http://www.cso.ie/px/pxeirestat/database/eirestat/eirestat.asp. Accessed October 2010 2010.

  • Clancy, M., Scheer, J., & Ó Gallachóir, B. (2010). Energy forecasts for Ireland to 2020. 2010 Report. Dublin: Sustainable Energy Authority of Ireland.

    Google Scholar 

  • Daly, H., Dineen, D., Rogan, F., & Cahill, C. (2010). Bottom-up energy demand modelling - LEAP Ireland. In M. Clancy, J. Scheer, & B. Ó Gallachóir (Eds.), Energy forecasts for Ireland to 2020. 2010 Report. Dublin: Sustainable Energy Authority of Ireland.

    Google Scholar 

  • DCENR. (2008). Maximising Ireland’s energy efficiency, the national energy efficiency action plan 2009–2020. Dublin: Department of Communications Energy and Natural Resources.

    Google Scholar 

  • Diewert, W. E. (1993). Index numbers. In W. E. Diewert, & A. O. Nakamura (Eds.), Essays in index number theory. Volume 1 (pp. 71–108). Amsterdam: Elsevier Science Publishers B. V.

  • Divisia, F. (1925). L’indice monétaire et la théorie de la monnaie. Revue d’Economie Politique, 39, 842–861.

    Google Scholar 

  • Eichhammer, W., Fleiter, T., Schlomann, B., Faberi, S., Fioretto, M., Piccioni, N., et al. (2009). Study on the energy savings potentials in EU member states, candidate countries and EEA countries final report. Karlsruhe/ Grenoble/ Rome/ Vienna /Wuppertal: Fraunhofer Institute for Systems and Innovation Research/ ISIS/ Enerdata/ TU Vienna/ Wuppertal Institute.

  • Environmental Protection Agency. (2009). Ireland’s greenhouse gas emissions in 2008.

  • European Union. (2006). Directive 2006/32/EC of the European Parliament and of the Council of 5 April 2006 on energy end-use efficiency and energy services and repealing Council Directive 93/76/EEC. Official Journal of the European Union.

  • European Union. (2009). Decision of the European Parliament and of the Council on the effort of Member States to reduce their greenhouse gas emissions to meet the Community’s greenhouse gas emission reduction commitments up to 2020. (Vol. 2008/0014 (COD)): Official Journal of the European Union.

  • Greening, L. A., Davis, W. B., Schipper, L., & Khrushch, M. (1997). Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries. Energy Economics, 19(3), 375–390.

    Article  Google Scholar 

  • Greening, L. A., Greene, D. L., & Difiglio, C. (2000). Energy efficiency and consumption—the rebound effect—a survey. Energy Policy, 28(6–7), 389–401.

    Article  Google Scholar 

  • Herring, H. (2006). Energy efficiency—a critical view. Energy, 31(1), 10–20.

    Article  Google Scholar 

  • Horowitz, M. J. (2009). A comparison of national energy efficiency policy evaluation methods: models versus indexes. In Proceedings of the ECEEE Summer Study, La Colle sur Loup, June 2009 (Proceedings of the ECEEE Summer Study): ECEEE.

  • Howarth, R. B. (1997). Energy efficiency and economic growth. Contemporary Economic Policy, 4, 1–9. doi:10.1111/j.1465-7287.1997.tb00484.x.

    Article  Google Scholar 

  • Howley, M., & Ó Gallachóir, B. (2009). Energy statistics 1990–2008: 2009 report. Sustainable energy Ireland.

  • Howley, M., Dennehy, D., & Ó Gallachóir, B. (2010). Energy in Ireland 1990–2009: 2010 Report. Sustainable Energy Authority of Ireland.

  • International Energy Agency. (2010). Key world energy statistics. Paris: International Energy Agency.

    Google Scholar 

  • Lapillonne, B., Bosseboeuf, D., & Thomas, S. (2009). Top-down evaluation methods of energy savings. EMEEES.

  • Liu, F. L., & Ang, B. W. (2003). Eight methods for decomposing the aggregate energy-intensity of industry. Applied Energy, 76(1–3), 15–23.

    Article  Google Scholar 

  • Madlener, R., & Alcott, B. (2009). Energy rebound and economic growth: a review of the main issues and research needs. Energy, 34(3), 370–376.

    Article  Google Scholar 

  • Modig, G. (2006). Evaluation of the Industrial Energy Efficiency Network in Norway. ECOFYS / Active Implementation of the European Directive on Energy Efficiency.

  • Motiva. (2007). Energy efficiency agreements in Finland 1997–2005. Helsinki: Motiva Oy.

    Google Scholar 

  • Price, L. (2005). Voluntary Agreements for Energy Efficiency or GHG Emissions Reduction in Industry: An Assessment of Programs Around the World. Paper presented at the Proceedings of the 2005 ACEEE Summer Study on Energy Efficiency in Industry, New York, June 2005.

  • Rezessy, S., & Bertoldi, P. (2010). Top down energy efficiency indicators in the scope of Directive 2006/32/EC. In ODYSSEE - MURE Workshop, Madrid, 21–22 June 2010: European Commission.

  • Rietbergen, M. G., Farla, J. C. M., & Blok, K. (2002). Do agreements enhance energy efficiency improvement?: Analysing the actual outcome of long-term agreements on industrial energy efficiency improvement in The Netherlands. Journal of Cleaner Production, 10(2), 153–163.

    Article  Google Scholar 

  • Saunders, H. D. (1992). The Khazzoom-Brookes Postulate and Neoclassical Growth. Energy Journal, 13(4), 131–148.

    Google Scholar 

  • Schüle, R. (2006). Evaluation of Energy Concepts for Trade and Industry Sectors (ECTIS) in North Rhine-Westphalia. ECOFYS / Active Implementation of the European Directive on Energy Efficiency.

  • SEAI. (2009). Large Industry Energy Network Annual Report 2008. Dublin: The Sustainable Energy Authority of Ireland.

    Google Scholar 

  • SenterNovem. (2010). Long-term agreement on energy efficiency in the Netherlands LTA3. Results of 2009. The Hague: SenterNovem.

    Google Scholar 

  • Sorrell, S., Dimitropoulos, J., & Sommerville, M. (2009). Empirical estimates of the direct rebound effect: A review. Energy Policy, 37(4), 1356–1371.

    Article  Google Scholar 

  • Sun, J. W. (1998). Changes in energy consumption and energy intensity: A complete decomposition model. Energy Economics, 20(1), 85–100.

    Article  Google Scholar 

  • Sun, J. W., & Ang, B. W. (2000). Some properties of an exact energy decomposition model. Energy, 25(12), 1177–1188.

    Article  Google Scholar 

  • United States Department of Energy. (2002). International performance measurement & verification protocol. Concepts and options for determining energy and water savings. Oak Ridge: U.S. Department of Energy, Office of Scientific and Technical Information.

    Google Scholar 

  • van Vuuren, D. P., Hoogwijk, M., Barker, T., Riahi, K., Boeters, S., Chateau, J., et al. (2009). Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials. Energy Policy, 37(12), 5125–5139.

    Article  Google Scholar 

  • Vreuls, H., Thomas, S., & Broc, J.-S. (2009). General bottom-up data collection, monitoring, and calculation methods. EMEEES.

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Acknowledgements

The authors acknowledge the funding support by the Sustainable Energy Authority of Ireland for this research. The authors would like to thank Mr. Jim Scheer, SEAI and Mr. John O’Sullivan, SEAI for their assistance.

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Correspondence to Caiman J. Cahill.

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Cahill, C.J., Ó Gallachóir, B.P. Quantifying the savings of an industry energy efficiency programme. Energy Efficiency 5, 211–224 (2012). https://doi.org/10.1007/s12053-011-9132-8

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