Skip to main content

2019 | OriginalPaper | Buchkapitel

3. Energy Demand Analysis

verfasst von : Subhes C. Bhattacharyya

Erschienen in: Energy Economics

Verlag: Springer London

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This chapter introduces the concept of energy demand using basic micro-economics and presents the three-stage decision-making process of energy demand. It then provides a set of simple indicators (such as price and income elasticities and energy intensity) and discusses the decomposition method and econometric method that can be used to analyse energy demand.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Fußnoten
1
This section relies on Bohi (1981), Chap. 2, Estimating the demand for energy: Issues and Methodologies. Similar treatments are also provided in Hartman (1979), Munasinghe and Meier (1993).
 
2
See also Chap. 2 of Bohi (1981), Munasinghe and Meier (1993), and Medlock (2009).
 
3
See Wilson and Dowlatabadi (2007).
 
4
This discussion is based on Chap. 3, Energy Demand and Economic Growth, Measurement and Conceptual Issues in Policy Analysis, by C. M. Siddayao, West View Press (1986).
 
5
Also see ODYSSEE project for energy efficiency indicators in Europe (http://​www.​odyssee-indicators.​org/​).
 
6
This can also be expressed as the ratio of share of energy of a sector i and the total energy used in the economy (i.e. Ei/E). This can be seen from the following relationship: \( \frac{{EI_{i} S_{i} }}{{\sum\limits_{i} {EI_{i} S_{i} } }} = \frac{{\frac{{E_{i} }}{{Q_{i} }}\frac{{Q_{i} }}{Q}}}{{\frac{E}{Q}}} = \frac{{E_{i} }}{E} \).
 
8
Substitute fuel price is not relevant here as the appliance has a specific fuel use capacity. This ignores the dual-fuel capability of the appliance.
 
9
See any econometrics textbook, e.g. Pindyck and Rubinfeld (1998) for further discussions on this subject.
 
10
See any econometrics textbook, e.g. Pindyck and Rubinfeld (1998) for further discussions on this subject.
 
11
Again, this book does not enter into this.
 
12
The data for the pilot project can be found here: http://​www.​ucd.​ie/​issda/​data/​commissionforene​rgyregulationcer​/​ (last accessed on 11th April, 2018).
 
Literatur
Zurück zum Zitat Ang, B. W. (1997). Decomposition of aggregate energy intensity of industry with application to China. Korea and Taiwan. Energy and Environment, 8(1), 1–11.CrossRef Ang, B. W. (1997). Decomposition of aggregate energy intensity of industry with application to China. Korea and Taiwan. Energy and Environment, 8(1), 1–11.CrossRef
Zurück zum Zitat Ang, B. W. (2004). Decomposition analysis for policymaking in energy: Which is the preferred method? Energy Policy, 32(2004), 1131–1139.CrossRef Ang, B. W. (2004). Decomposition analysis for policymaking in energy: Which is the preferred method? Energy Policy, 32(2004), 1131–1139.CrossRef
Zurück zum Zitat Ang, B. W. (2015). LMDI decomposition approach: A guide for implementation. Energy Policy, 86, 233–238.CrossRef Ang, B. W. (2015). LMDI decomposition approach: A guide for implementation. Energy Policy, 86, 233–238.CrossRef
Zurück zum Zitat Ang, B. W., & Zhang, F. Q. (2000). A survey of index decomposition analysis in energy and environmental studies. Energy, 25, 1149–1176.CrossRef Ang, B. W., & Zhang, F. Q. (2000). A survey of index decomposition analysis in energy and environmental studies. Energy, 25, 1149–1176.CrossRef
Zurück zum Zitat Beckel, C, Sadamori, L, Staake, T, Santini, S. (2014). Revealing household characteristics from smart meter data. Energy, 78, 397–410.CrossRef Beckel, C, Sadamori, L, Staake, T, Santini, S. (2014). Revealing household characteristics from smart meter data. Energy, 78, 397–410.CrossRef
Zurück zum Zitat Bentzen, J., & Engsted, T. (1993). Short- and long-run elasticities in energy demand: A cointegration approach. Energy Economics, 15(1), 9–16.CrossRef Bentzen, J., & Engsted, T. (1993). Short- and long-run elasticities in energy demand: A cointegration approach. Energy Economics, 15(1), 9–16.CrossRef
Zurück zum Zitat Bentzen, J., & Engsted, T. (2001). A revival of the autoregressive distributed lag model in estimating energy demand relationships. Energy, 26, 45–55.CrossRef Bentzen, J., & Engsted, T. (2001). A revival of the autoregressive distributed lag model in estimating energy demand relationships. Energy, 26, 45–55.CrossRef
Zurück zum Zitat Bhattacharyya, S. C. (2006). Renewable energies and the poor: Niche or Nexus. Energy Policy, 34(6), 659–663.CrossRef Bhattacharyya, S. C. (2006). Renewable energies and the poor: Niche or Nexus. Energy Policy, 34(6), 659–663.CrossRef
Zurück zum Zitat Bohi, D. (1981). Analyzing demand behaviour: A study of energy elasticities. Baltimore: John Hopkins University Press. Bohi, D. (1981). Analyzing demand behaviour: A study of energy elasticities. Baltimore: John Hopkins University Press.
Zurück zum Zitat BP Statistical Review of World Energy. (2017). BP plc, London. BP Statistical Review of World Energy. (2017). BP plc, London.
Zurück zum Zitat Cahill, C. J., & Gallachoir, B. P. O. (2012). Combining physical and economic output data to analyse energy and CO2 emissions trends in industry. Energy Policy, 49, 422–429.CrossRef Cahill, C. J., & Gallachoir, B. P. O. (2012). Combining physical and economic output data to analyse energy and CO2 emissions trends in industry. Energy Policy, 49, 422–429.CrossRef
Zurück zum Zitat Chan, H. N., & Lee, S. K. (1997). Modelling and forecasting the demand for coal in China. Energy Economics, 19, 271–287.CrossRef Chan, H. N., & Lee, S. K. (1997). Modelling and forecasting the demand for coal in China. Energy Economics, 19, 271–287.CrossRef
Zurück zum Zitat Engle, R. E., & Granger, C. W. (1987). Cointegration and error-correction: Representation, estimation and testing. Econometrica, 55, 251–276.CrossRef Engle, R. E., & Granger, C. W. (1987). Cointegration and error-correction: Representation, estimation and testing. Econometrica, 55, 251–276.CrossRef
Zurück zum Zitat Fisher, F. M., & Kaysen, C. (1962). A study in econometrics: The demand for electricity in the United States. Amsterdam: North-Holland. Fisher, F. M., & Kaysen, C. (1962). A study in econometrics: The demand for electricity in the United States. Amsterdam: North-Holland.
Zurück zum Zitat Frederiks, E. R., Stenner, K., & Hobman, E. V. (2015). Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour. Renewable and Sustainable Energy Reviews, 41, 1385–1394.CrossRef Frederiks, E. R., Stenner, K., & Hobman, E. V. (2015). Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour. Renewable and Sustainable Energy Reviews, 41, 1385–1394.CrossRef
Zurück zum Zitat Hartman, R. S. (1979). Frontiers in energy demand modelling. Annual Review of Energy, 4, 433–466.CrossRef Hartman, R. S. (1979). Frontiers in energy demand modelling. Annual Review of Energy, 4, 433–466.CrossRef
Zurück zum Zitat Harvey, A. C. (1997). Trends, cycles and autoregressions. The Economic Journal, 107, 192–201.CrossRef Harvey, A. C. (1997). Trends, cycles and autoregressions. The Economic Journal, 107, 192–201.CrossRef
Zurück zum Zitat Hasanbeigi, A., Price, L., Aden, N., Chunxia, Z., Xiuping, L., Fangqin, S. (2011). A comparison of iron and steel production energy use and energy intensity in China and the U.S., Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley. Retrieved April 5, 2018 from https://www.osti.gov/servlets/purl/1050727. Hasanbeigi, A., Price, L., Aden, N., Chunxia, Z., Xiuping, L., Fangqin, S. (2011). A comparison of iron and steel production energy use and energy intensity in China and the U.S., Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley. Retrieved April 5, 2018 from https://​www.​osti.​gov/​servlets/​purl/​1050727.
Zurück zum Zitat Labandeira, X., Labeaga, J. M., & Lopez-Otero, X. (2017). A meta-analysis on the price elasticity of energy demand. Energy Policy, 102, 549–568.CrossRef Labandeira, X., Labeaga, J. M., & Lopez-Otero, X. (2017). A meta-analysis on the price elasticity of energy demand. Energy Policy, 102, 549–568.CrossRef
Zurück zum Zitat Medlock, III, K. (2009). Energy demand theory, Chapter 5. In J. Evans & L. C. Hunt (Eds.), International handbook on the economics of energy. Cheltenham, UK: Edward Elgar. Medlock, III, K. (2009). Energy demand theory, Chapter 5. In J. Evans & L. C. Hunt (Eds.), International handbook on the economics of energy. Cheltenham, UK: Edward Elgar.
Zurück zum Zitat Munasinghe, M., & Meier, P. (1993). Energy policy analysis and modeling. Cambridge: Cambridge University Press.CrossRef Munasinghe, M., & Meier, P. (1993). Energy policy analysis and modeling. Cambridge: Cambridge University Press.CrossRef
Zurück zum Zitat Pindyck, R. S., & Rubinfeld, D. L. (1998). Econometric models and economic forecasts. Boston: McGrawhill. Pindyck, R. S., & Rubinfeld, D. L. (1998). Econometric models and economic forecasts. Boston: McGrawhill.
Zurück zum Zitat Ryan, D. L., & Plourde, A. (2009). Empirical modeling of energy demand, Chapter 6. In J. Evans & L. C. Hunt (Eds.), International handbook on the economics of energy. Cheltenham, UK: Edward Elgar. Ryan, D. L., & Plourde, A. (2009). Empirical modeling of energy demand, Chapter 6. In J. Evans & L. C. Hunt (Eds.), International handbook on the economics of energy. Cheltenham, UK: Edward Elgar.
Zurück zum Zitat Siddayao, C. M. (1986). Energy demand and economic growth, measurement and conceptual issues in policy analysis. London: West View Press. Siddayao, C. M. (1986). Energy demand and economic growth, measurement and conceptual issues in policy analysis. London: West View Press.
Zurück zum Zitat Smyth, R., & Narayan, P. K. (2015). Applied Econometrics and implications for energy economics research. Energy Economics, 50, 351–358.CrossRef Smyth, R., & Narayan, P. K. (2015). Applied Econometrics and implications for energy economics research. Energy Economics, 50, 351–358.CrossRef
Zurück zum Zitat Stevens, P. (2000). An introduction to energy economics. In P. Stevens (Ed.), The economics of energy (Vol. 1). Cheltenham: Edward Elgar. Also reproduced in two parts in the Journal of Energy Literature—Vol. VI, No. 2 December 2000 and Vol. VII, No. 1 June 2001. Stevens, P. (2000). An introduction to energy economics. In P. Stevens (Ed.), The economics of energy (Vol. 1). Cheltenham: Edward Elgar. Also reproduced in two parts in the Journal of Energy Literature—Vol. VI, No. 2 December 2000 and Vol. VII, No. 1 June 2001.
Zurück zum Zitat Sun, J. W. (1998). Changes in energy consumption and energy intensity: a complete decomposition model. Energy Economics, 20(1), 85–100.CrossRef Sun, J. W. (1998). Changes in energy consumption and energy intensity: a complete decomposition model. Energy Economics, 20(1), 85–100.CrossRef
Zurück zum Zitat Wilson, C., & Dowlatabadi, H. (2007). Models of decision making and residential energy use. Annual Review of Environment and Resources, 32, 169–203.CrossRef Wilson, C., & Dowlatabadi, H. (2007). Models of decision making and residential energy use. Annual Review of Environment and Resources, 32, 169–203.CrossRef
Zurück zum Zitat Worrel, E., Ramesohl, S., & Boyd, G. (2004). Advances in energy forecasting models based on engineering economics. Annual Review of Environment and Resources, 29, 345–381.CrossRef Worrel, E., Ramesohl, S., & Boyd, G. (2004). Advances in energy forecasting models based on engineering economics. Annual Review of Environment and Resources, 29, 345–381.CrossRef
Zurück zum Zitat Zhou, K., Fu, C., & Yang, S. (2016). Big data driven smart energy management: from big data to big insights. Renewable and Sustainable Energy Reviews, 56, 215–225.CrossRef Zhou, K., Fu, C., & Yang, S. (2016). Big data driven smart energy management: from big data to big insights. Renewable and Sustainable Energy Reviews, 56, 215–225.CrossRef
Metadaten
Titel
Energy Demand Analysis
verfasst von
Subhes C. Bhattacharyya
Copyright-Jahr
2019
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-7468-4_3

Premium Partner