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Gesamtwirtschaftliche Effekte von Prosumer-Haushalten in Deutschland

Author

Listed:
  • Dr. Markus Flaute

    (GWS - Institute of Economic Structures Research)

  • Anett Großmann

    (GWS - Institute of Economic Structures Research)

  • Dr. Christian Lutz

    (GWS - Institute of Economic Structures Research)

Abstract

Im Zuge des Ausbaus der erneuerbaren Energien produzieren private Haushalte zunehmend selbst Strom und Wärme. Prosumer-Haushalte verbrauchen zumindest einen Teil der erzeugten Energie selbst. Zur Bestimmung von gesamtwirtschaftlichen Effekten durch Prosumer-Haushalte in Deutschland wurde das Energiewirtschaftsmodell PANTA RHEI um Prosumer-Haushalte erweitert und in verschiedenen Szenariorechnungen eingesetzt. Das vorliegende Discussion Paper beschreibt die Szenarien und gibt einen Überblick über die wirtschaftlichen und energetischen Wirkungen und Effekte von Prosumer-Haushalten in Deutschland. Die Szenarien unterscheiden sich im Wesentlichen in der Anzahl an Prosumer-Haushalten bzw. deren Verteilung auf die einzelnen Prosumer-Haushaltstypen. Das Prosumieren lohnt sich in der überwiegenden Zahl der betrachteten Prosumer-Haushalte einzelwirtschaftlich. Eine zunehmende Zahl von Prosumer-Haushalten führt zu einem Rückgang der CO2-Emissionen und ist gleichzeitig mit leicht positiven gesamtwirtschaftlichen Effekten verbunden. Insgesamt fallen die Effekte bezogen auf die gesamte Volkswirtschaft aber eher klein aus.

Suggested Citation

  • Dr. Markus Flaute & Anett Großmann & Dr. Christian Lutz, 2016. "Gesamtwirtschaftliche Effekte von Prosumer-Haushalten in Deutschland," GWS Discussion Paper Series 16-5, GWS - Institute of Economic Structures Research.
  • Handle: RePEc:gws:dpaper:16-5
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    References listed on IDEAS

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    1. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    2. Nils May & Karsten Neuhoff, 2016. ""Eigenversorgung mit Solarstrom" - ein Treiber der Energiewende?," DIW Roundup: Politik im Fokus 89, DIW Berlin, German Institute for Economic Research.
    3. Dr. Thomas Drosdowski, 2015. "Theorie der Haushaltsenergieproduktion und die Transformation des Energiesystems," GWS Discussion Paper Series 15-11, GWS - Institute of Economic Structures Research.
    4. Ulrike Lehr & Philip Ulrich & Christian Lutz & Ines Thobe & Dietmar Edler & Marlene O'Sullivan & Sonja Simon & Tobias Naegler & Uwe Pfenning & Frank Peter & Fabian Sakowski & Peter Bickel, 2015. "Beschäftigung durch erneuerbare Energien in Deutschland: Ausbau und Betrieb, heute und morgen; Studie im Auftrag des Bundesministeriums für Wirtschaft und Energie," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 101, number pbk101, Enero-Abr.
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    Cited by:

    1. Daniel Fett & Dogan Keles & Thomas Kaschub & Wolf Fichtner, 2019. "Impacts of self-generation and self-consumption on German household electricity prices," Journal of Business Economics, Springer, vol. 89(7), pages 867-891, September.

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    More about this item

    Keywords

    Prosumer; erneuerbare Energien; Energiewirtschaftsmodell; Szenariorechnung;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • D1 - Microeconomics - - Household Behavior

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