Handbuch Regenerative Energietechnik

Wesselak, Viktor; Schabbach, Thomas; Link, Thomas M.; Fischer, Joachim

doi:10.1007/978-3-662-53073-3

Cited by 32 publications

(7 citation statements)

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“…Fourth, along the same lines we also exclude all observations from 2007, the first year when solar installations were surveyed, because installations existing in 2007 lack information about the specific time of investment (and hence about costs and revenue, see Section 3.2). Finally, since solar energy systems are durable goods with a life span of twenty years or more (Wesselak et al 2017), we exclude households once they have invested (in the post-investment phase). The operative assumption here is that the system installed will not be renewed within the investigation period.…”

Section: Construction Of the Working Samplementioning

confidence: 99%

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Drivers of renewable technology adoption in the household sector

et al. 2019

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This series presents research findings based either directly on data from the German Socio-Economic Panel study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin. Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. The SOEPpapers are available at AbstractUsing representative household survey panel data from Germany, we undertake a simultaneous assessment of the importance of factors that have individually been found significant for the adoption of renewable energy systems but have never been tested jointly. These are sociodemographic and housing characteristics, environmental concern, personality traits, and economic factors, i.e. the expected costs of and revenue from the investment. Our results suggest that household decisions to invest in photovoltaic systems and solar thermal facilities are mainly driven by the economic factors.Taking account of sociodemographic and housing characteristics, environmental concern or personality traits has comparatively little relevance, while the quantitative nexus between the decision to invest and returns on the investment is robust to their inclusion.

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Section: Construction Of the Working Samplementioning

confidence: 99%

“…using the value-added tax of 19% and the fact that one kWp of capacity requires roughly ten square meters of collector area (Wesselak et al, 2017).…”

Section: Appendix A: Assembly Of Installation Costs and Expected Revementioning

confidence: 99%

Drivers of renewable technology adoption in the household sector

et al. 2019

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“…2200 kWh m −2 a −1 ein. Nach 3 kommen davon auf einer horizontalen Erdoberfläche aber nur etwa 1050 kWh m −2 a −1 als Globalstrahlung an. Sie setzt sich dabei aus der gerichteten Direktstrahlung und der ungerichteten diffusen Strahlung zusammen.…”

Section: Ermittlung Der Dauerlastkurven Für Pv‐anlagenunclassified

Sonne oder Wind: Was ist die bessere Energiequelle für Power‐to‐X

Machhammer¹,

Henschel

2021

Chemie Ingenieur Technik

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Particle‐resolved CFD simulations provide detailed insights into fixed‐bed reactors. One of the remaining challenges is the generation of high‐quality computational cells, which is especially challenging near particle‐particle contacts. This contribution presents a generalized and automated contact modification independent of the particle shape by introducing a defined gap of 1 % of the particle diameter. This approach is successfully demonstrated for non‐spherical cylinders, hollow and multi‐hole cylinders, and a novel particle shape in terms of radial void fraction, pressure drop and an illustrative heat transfer study.

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“…Among the types of accumulators, Li-ion accumulators are becoming increasingly widespread due to their comparatively favorable values (storage capacity up to 350 kWh/m 3 , storage losses of 0.2%/d, cycle stability up to 5000). Hydrogen storage systems, on the other hand, can achieve a storage capacity of up to 750 kWh/m 3 and storage losses between 0.003 and 0.03%/d [13].…”

Section: State Of the Artmentioning

confidence: 99%

Economics of Battery Use in Agriculture: Economic Viability of Renewable Energy Complemented with Batteries in Agriculture

Fuchs¹,

Poehls²,

Skau³

et al. 2021

Energies

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The production of renewable energy fluctuates in terms of sun and wind and must be supplemented by storage in the system. On an individual basis, i.e., for centralized electricity production and predominantly self-consumption, the use of batteries is considered here. Possible future development scenarios were simulated based on current price relationships (status quo). In the status quo, a selling price for PV electricity of 13 Euro cents (ct)ct/kWh was assumed with a production cost of 11 ct/kWh. The selling price of wind power is 5 ct/kWh with a production cost of 3 ct/kWh. The cost of storing electricity in a battery increases the price by 33 ct/kWh. A price of 20 ct/kWh is assumed for electricity purchases by companies. In the status quo, the use of batteries is not economical given the assumed price relationships. Changing the framework conditions, such as those of the legislature in Germany with the nuclear power phase-out and in the EU with the coal exit and decarbonization, will lead to increased availability of (fluctuating) renewable electricity, especially during the day. The purchase of electricity at other times, when the supply is scarce, can lead to increased electricity prices, especially at night. Together with falling costs for storage, the use of batteries for centralized power generators could be very interesting in the future. The method used in this study is nonlinear optimization of the target function costs of electricity supply in the developed simulation model. The results can also be transferred to other countries, as the assumed trends apply worldwide.

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Handbuch Regenerative Energietechnik

Cited by 32 publications

References 0 publications

Drivers of renewable technology adoption in the household sector

Drivers of renewable technology adoption in the household sector

Sonne oder Wind: Was ist die bessere Energiequelle für Power‐to‐X

Economics of Battery Use in Agriculture: Economic Viability of Renewable Energy Complemented with Batteries in Agriculture

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