Effects of economies of scale and experience on the costs of energy-efficient technologies - case study of electric motors in Germany

Energy Efficiency

Volumn 3, Issue 4, 2010, Pages 331-346

  Jardot, Daniela ^a   Eichhammer, Wolfgang ^a   Fleiter, Tobias ^a  

^a FRAUNHOFER INSTITUTE FOR SYSTEMS AND INNOVATION RESEARCH ISI   (Germany)

Author keywords

Composite price index; Cost reduction; Differential costs; Economies of experience; Economies of scale; Electric motor; Energy efficiency; Learning curve

Indexed keywords

COMPOSITE PRICE; DIFFERENTIAL COSTS; ECONOMIES OF EXPERIENCE; ECONOMIES OF SCALE; LEARNING CURVES;

AUTOMOBILE EXHIBITIONS; COMMERCE; ECONOMICS; ELECTRIC LOCOMOTIVES; ELECTRIC MOTORS; ELECTRIC NETWORK ANALYSIS; ENERGY EFFICIENCY; INVESTMENTS; LEARNING ALGORITHMS; PRODUCTIVITY; RENEWABLE ENERGY RESOURCES; TECHNOLOGY;

COST REDUCTION;

COST-BENEFIT ANALYSIS; ECONOMY OF SCALE; ENERGY EFFICIENCY; HOUSEHOLD ENERGY; LEARNING; METHODOLOGY;

GERMANY;

EID: 77957219808     PISSN: 1570646X     EISSN: 15706478     Source Type: Journal    
DOI: 10.1007/s12053-009-9074-6     Document Type: Article

References (30)

1. ABB. (2008). New IEC efficiency standards published. http://www. abb. no/cawp/seitp202/95f0c6043e59ba96c125750c0044a083. aspx.
2. Almeida, de A., Ferreira, F., Fong, J., Fonseca, P. (2008). EUP Lot 11 motors-Final, update February 2008. Coimbra, Portugal, pp. 67-90, 107-114. http://www. ecomotors. org/files/Lot11_Motors_1-8_280408_final. pdf.
3. Brunner, C. (2007). Efficient electric motor systems in industry; IEA deployment of demand side technologies. Paris, France.
4. European Commission (EC). (2008). Annex 2-Working document on possible ecodesign requirements for 0. 75-200 (370) kW electric motors. http://ec. europa. eu/energy/demand/legislation/eco_design_en. htm.
5. Ellis, M. (2007). Do energy efficient appliances cost more? www. energyrating. com. au/library/pubs/2007-eceee-paper-ellis. pdf.
6. Fraunhofer Institut für System-und Innovationsforschung (ISI), Öko-Institut e. V., Forschungszentrum Jülich (IEF-STE), Eidgenössische Technische Hochschule Zürich (ETH), Centre for Energy Policy and Economics (CEPE). (2008): Wirtschaftlicher Nutzen des Klimaschutzes-Endbericht zum UFOPLAN-Vorhaben 205 46 434 (FKZ) für das Umweltbundesamt (UBA); Kostenbetrachtungen ausgewählter Einzelmaßnahmen der Meseberger Beschlüsse zum Klimaschutz; Karlsruhe; Berlin; Jülich, Germany; Zurich, Switzerland.
7. IEA: Tam C.; Gielen, D. (2007): ETP 2008 technology learning and deployment. Paris, France.
8. IEA: Wene (2003): Experience curves: A tool for energy policy analysis and design-A Joint EU_EXTOOL and IEA-EXCETP Workshop. Paris, France.
9. International Electrotechnical Commission (IEC). (2007). Rotating electrical machines - Part 2-1: Standard methods for determining losses and efficiency from tests (excluding machines for traction vehicles). Brussels, Belgium.
10. International Electrotechnical Commission (IEC). (2008). IEC 60034-30: International standard for rotating electrical machines-Part 30: Efficiency classes of single-speed, three-phase, cage-induction motors (IE-code). Geneva, Switzerland.
11. International Electrotechnical Commission (IEC). (2009). Commission regulation (EC) no. 640/2009 of 22 July 2009 implementing Directive 2005/32/EC of the European Parliament and of the Council with regard to ecodesign requirements for electric motors. Official Journal of the European Union, Brussels, Belgium.
12. Hieber, W. (1991). Lern- und Erfahrungskurveneffekte und ihre Bestimmung in der flexibel automatisierten Produktion. Published in Horváth, P.; Reichmann, T. (Hrsg.) Controlling Praxis. Munich, Germany.
13. Jakob, M., Madlener, R. (2004). Riding down the experience curve for energy-efficient building envelopes: The Swiss case for 1970-2020. International Journal of Energy Technology, 2, 153-178.
14. Junginger, M. (2005). Learning in renewable energy technology development. Thesis, Utrecht, The Netherlands, p. 65 ff, 139.
15. Junginger, M., Faaij, A., & Turkenburg, W. C. (2003). Global experience curves for wind farms. Energy Policy, 33(2005), 146.
16. Junginger, M., de Visser, E., Hjort-Gregersen, K., Koornneef, J., Raven, R., & Faaij, A. (2006). Technological learning in bioenergy systems. Energy Policy, 34, 4039.
17. Knoll, A. (2008). Energieeffizienz-IE statt EFF. http://www. computer-automation. de/nachrichten/feldebene/antriebe/article/energieeffizienz_-_ie_statt_eff/4667/4e189340-b248-11dd-b88c-001ec9efd5b0.
18. McDonald, A., & Schrattenholzer, L. (2000). Learning rates for energy technologies. Energy Policy, 29(2001), 255-261.
19. McNabb, D. (2004). Research methods for political science. New York: M. E. Sharpe.
20. Neij, L., Dannemand Andersen, P., Durstewitz, M., Helby, P., Hoppe-Kilpper, M., Morthorst, P. (2003). Experience curves: A tool for energy policy assessment. Lund, Sweden, p. 28 ff.
21. Schaeffer, G. (2004). Photovoltaic experiences: Synthesis report of the Photex-project. Petten, The Netherlands, p. 20.
22. Statistisches Bundesamt. (2006a). Güterverzeichnis für Produktionsstatistiken-Ausgabe 2006. Wiesbaden, Germany.
23. Statistisches Bundesamt. (2006b). Produktion im Produzieren Gewerbe: 2006. Wiesbaden, Germany.
24. Statistisches Bundesamt (2007a): Indizes der Produktion u. der Arbeitsproduktivität im Produzierenden Gewerbe Fachserie 4 Reihe 2. 1; jeweils für die Jahre 1995 bis 2006. Wiesbaden, Germany.
25. Statistisches Bundesamt. (2007b). Kostenstrukturerhebung bei Unternehmen des Verarbeitenden Gewerbes sowie des Bergbaus und der Gewinnung von Steinen und Erden-Tabelle 5; Fachserie 4, Reihe 4. 3; jeweils für die Jahre 1995 bis 2006. Wiesbaden, Germany.
26. Statistisches Bundesamt. (2008). Index der Erzeugerpreise gewerblicher Produkte (Inlandsabsatz)-Lange Reihen von Januar 1995 bis Juni 2008. Wiesbaden, Germany.
27. Swanson, R. (2006). A vision for crystalline silicon photovoltaics. Progress in Photovoltaics: Research and Applications, 14, 444.
28. Uyterlinde, M., Junginger, M., de Vries, H., Faaij, A., & Turkenburg, W. (2007). Implications of technological learning on the prospects for renewable energy technologies in Europe. Energy Policy, 35, 4080.
29. Vattenfall. (2007). Global mapping of greenhouse gas abatement opportunities up to 2030. http://www. vattenfall. com/www/ccc/ccc/Gemeinsame_Inhalte/DOCUMENT/567263vattenfall/P0272865. pdf.
30. Weiss, M., Junginger, M., Patel, M. (2007). Experience curves for energy demand technologies-IEA Workshop. Paris, France.