Promoting renewable energy sources for heating and cooling in EU-27 countries

Muñoz-Repiso, José Manuel Cansino; Gil-Delgado, María del Pópulo Pablo-Romero; Román, Rocío; Ovando, Rocío Yñiguez

doi:10.1016/j.enpol.2011.04.010

Cited by 100 publications

(49 citation statements)

References 26 publications

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“…In parallel, European countries have developed and implemented policies dedicated to promoting the production and use of bioenergy from forests [2,3]. Biomass and waste made up close to two thirds of the renewable energy production in the EU-28 for 2012 [4].…”

Section: Introductionmentioning

confidence: 99%

Forest-based bioenergy policies in five European countries: An explorative study of interactions with national and EU policies

Lindstad

Pistorius

Ferranti

et al. 2015

Biomass and Bioenergy

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Section: Introductionmentioning

confidence: 99%

Forest-based bioenergy policies in five European countries: An explorative study of interactions with national and EU policies

Lindstad

Pistorius

Ferranti

et al. 2015

Biomass and Bioenergy

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“…Heating market policy instruments and their impact have in depth been analysed by Bürger et. al., 2008, Cansino et. al., 2011, and Bjørnstad, 2012.…”

Section: Introductionmentioning

confidence: 99%

German Energiewende and the Heating Market - Impact and Limits of Policy

Bauermann

2013

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe German Energiewende envisages achieving a climate-neutral building stock in 2050 by means of two major pillars of regulation: First, residential buildings should consume 80% less primary energy and, second, the remaining energy demand should be covered primarily with renewables. This paper simulates the future heating market in Germany under different policy scenarios in order to evaluate the impact and limits of recent and conceivable heating market policy. The investigation is based upon a dual model approach, linking a residential heating model to a discrete choice model for the heating system purchase decision. The major finding is that current ‚regulations will not be suitable for meeting government targets. Carbon emission reductions in scenarios assuming current regulation nearly equal those where there is no regulation. In terms of economic efficiency, all calculated policy alternatives perform better than the regulation currently in place. The model results highlight two policy implications. First, rising renewable requirements deliver better results at lower costs. Second, renewable obligations for heating systems must include the existing building stock in order to achieve the postulated political targets.

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“…Although there continues to be improvements in efficiency, in general the values are lower than for the natural approach. In this case, the highest values, at the beginning and the end of the period, are those of the block of countries which have been longer at the heart of the EU-28 and, therefore, as has been seen in the Introduction, have had policies oriented towards slowing down climate change and improving energy efficiency for longer (Cansino et al, 2010(Cansino et al, , 2011Capros et al, 2011;Carvalho, 2012). albeit with a higher dispersion.…”

Section: Malmquist Indexmentioning

confidence: 99%

“…This undertaking comes from years ago, as it is one of the countries which have most supported tax incentives for green energies (Cansino et al, 2011). It has also established an instrument which seems to have contributed to this -the carbon tax implemented in 1991 (Jagers and Hammar, 2009;Hammar and Sjöströmb, 2011;Lin and Li, 2011;Brännlund et al, 2014).…”

Section: Datamentioning

confidence: 99%