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Cost efficiency of renewable district heating systems: the case of Austria

Author

Listed:
  • Mahlberg, Bernhard
  • Frank-Stocker, Andrea
  • Koller, Wolfgang
  • Ramerstorfer, Christian

Abstract

Heat generation based on conventional fossil fuels is considered to be the cause of a significant proportion of greenhouse gas emissions. Achieving the climate protection goals therefore requires a transition to renewable energy sources such as biomass. Establishing renewable district heating (DH) systems is considered as an important cornerstone of a decarbonized energy system. This study estimates the cost efficiency of biomass-based DH systems. It expands the benchmarking currently used in Austria which relies on simple key performance indicators by a new type of multi-variate approach based on efficiency estimates from Data Envelopment Analysis (DEA). The performance indicator calculated in this way considers all essential factors of production simultaneously and estimates the cost saving potentials of each individual system examined. By decomposing cost efficiency into a technical and allocative component, the causes of inefficiency are revealed. A subsequent regression analysis examines how system-specific technical, structural features and the regional environmental conditions of the respective systems influence their performance. Finally, the results of the regression analysis are used to calculate the managerial inefficiency purged of the influence of structural peculiarities and operating environment. This part of the overall inefficiency is caused by the operator's decisions and can therefore be reduced by changing the operator's behaviour. The applicability of the approach developed here is shown empirically using a sample of biomass-based DH systems from Austria.

Suggested Citation

  • Mahlberg, Bernhard & Frank-Stocker, Andrea & Koller, Wolfgang & Ramerstorfer, Christian, 2023. "Cost efficiency of renewable district heating systems: the case of Austria," MPRA Paper 118595, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:118595
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    References listed on IDEAS

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    1. Hulten, Charles R & Wykoff, Frank C, 1996. "Issues in the Measurement of Economic Depreciation: Introductory Remarks," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 10-23, January.
    2. Andreas Eder & Bernhard Mahlberg, 2018. "Size, Subsidies and Technical Efficiency in Renewable Energy Production: The Case of Austrian Biogas Plants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    3. Andreas Eder & Bernhard Mahlberg & Bernhard Stürmer, 2021. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 37-63, February.
    4. Agrell, Per J. & Bogetoft, Peter, 2005. "Economic and environmental efficiency of district heating plants," Energy Policy, Elsevier, vol. 33(10), pages 1351-1362, July.
    5. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    6. Camanho, A.S. & Dyson, R.G., 2008. "A generalisation of the Farrell cost efficiency measure applicable to non-fully competitive settings," Omega, Elsevier, vol. 36(1), pages 147-162, February.
    7. Agrell, Per J. & Bogetoft, Peter, 2017. "Regulatory Benchmarking: Models, Analyses and Applications," Data Envelopment Analysis Journal, now publishers, vol. 3(1-2), pages 49-91, November.
    8. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    9. Per J. Agrell & Peter Bogetoft, 2016. "Endogenous Common Weights as a Collusive Instrument in Frontier-Based Regulation," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 181-194, Springer.
    10. Julie Harrison & Paul Rouse, 2016. "DEA and Accounting Performance Measurement," International Series in Operations Research & Management Science, in: Shiuh-Nan Hwang & Hsuan-Shih Lee & Joe Zhu (ed.), Handbook of Operations Analytics Using Data Envelopment Analysis, chapter 0, pages 385-412, Springer.
    11. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
    12. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    13. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    More about this item

    Keywords

    sustainable heat generation; energy transition; biomass; climate protection; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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