Assessing the performance of Dutch local energy companies

According to binding European Union agreements, the Netherlands has to cover at least 14% of its total energy use with renewable energy sources by 2020. However, the share of renewable energy in the Netherlands is small and hardly increasing. In 2010, renewable energy in the Netherlands accounted for only 3.8% of the national energy use, and has decreased with 0.4% compared to 2009. A cause of the stagnating renewable energy generation in the Netherlands is the absence of a nation-wide, clear and consistent long-term policy on the introduction of renewable energy. In order to overcome the current standstill in renewable energy adoption, several Dutch municipalities take the initiative and establish Local Energy Companies (LECs). However, to date, it is unclear which LEC type performs best. This research aims to compare the performance of existing LECs on three aspects: technology, finance, and organization. Furthermore, the performance of existing LECs is compared with theoretical reference LECs, in order to estimate efficiencies and opportunities for improvements. Finally, the influence of the recent changes in the Dutch subsidy scheme on LEC performance is examined. In order to achieve these aims, the benchmark method Data Envelopment Analysis is employed.

[1]  R. Wiser,et al.  A comparative analysis of business structures suitable for farmer-owned wind power projects in the United States , 2004 .

[2]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[3]  Danyel Reiche,et al.  Policy differences in the promotion of renewable energies in the EU member states , 2004 .

[4]  Massimiliano Manfren,et al.  Paradigm shift in urban energy systems through distributed generation: Methods and models , 2011 .

[5]  S. M. Lensink,et al.  Marktconsultatie SDE-basisbedragen 2010 en 2011 , 2011 .

[6]  William W. Cooper,et al.  Introduction to Data Envelopment Analysis and Its Uses: With Dea-Solver Software and References , 2005 .

[7]  Frede Hvelplund.  Renewable energy and the need for local energy markets , 2006 .

[8]  Henrik Lund,et al.  The implementation of renewable energy systems. Lessons learned from the Danish case , 2010 .

[9]  Gordon Walker,et al.  What are the barriers and incentives for community-owned means of energy production and use? , 2008 .

[10]  Sue J. Lin,et al.  Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis , 2010 .

[11]  José Ramón San Cristóbal,et al.  A multi criteria data envelopment analysis model to evaluate the efficiency of the Renewable Energy technologies , 2011 .

[12]  William Chung,et al.  Review of building energy-use performance benchmarking methodologies , 2011 .

[13]  A. Bebbington.  ESRC End of Award Report , 2010 .

[14]  Adnan Sözen,et al.  Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis , 2010 .

[15]  Ana S. Camanho,et al.  Evaluation of performance of European cities with the aim to promote quality of life improvements , 2011 .

[16]  J. M. Sipma,et al.  Reference projection energy and emissions 2010-2020 , 2010 .

[17]  Peng Zhou,et al.  A survey of data envelopment analysis in energy and environmental studies , 2008, Eur. J. Oper. Res..

[18]  Rolf Färe,et al.  The relative efficiency of Illinois electric utilities , 1983 .

[19]  Guillermo Iglesias,et al.  Measurement of productive efficiency with frontier methods: A case study for wind farms , 2010 .

[20]  Martha Macedo de Lima Barata,et al.  Analysis of the sustainability of using wastes in the Brazilian power industry , 2008 .

[21]  M. Bolinger.  Community wind power ownership schemes in Europe and their relevance to the United States , 2001 .

[22]  Michael G. Pollitt,et al.  Ownership and Efficiency in Nuclear Power Production , 1996 .

[23]  Ângela Carrancho da Silva,et al.  Performance assessment of Alternative Energy Resources in Brazilian power sector using Data Envelopment Analysis , 2012 .