Assessment of transformation strategies for the German power sector under the uncertainty of demand development and technology availability

Ludig, Sylvie; Schmid, Eva; Haller, Markus; Bauer, Nico

doi:10.1016/j.rser.2015.02.044

Cited by 20 publications

(14 citation statements)

References 27 publications

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“…This temporal representation allows for better assessment of power system sizing. Within this framework, authors obtained similar results as in [16] concerning the trade-off between the different mitigation technologies (wind power, nuclear power, CCS and gridextensions) [17]. A similar study was conducted by Schmid et al for the European and MENA 7 power system with the LIMES-EU model [18].…”

Section: State-of-the-art On the Impacts Of Vre Penetration On Power supporting

confidence: 62%

“…This means no demand elasticity and no demand-response technologies available 16. In variants v6 and v7, the same high biomass potential as in variant v5 was assumed because there were not enough RES potentials, considering the assumptions summed up inTable 2, for the model to meet demand with a constraint on VRE penetration 17. The French National Environment and Energy Management Agency…”

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confidence: 99%

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Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis

et al. 2016

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International audienceThis paper explores the conditions under which renewable energy sources (RES) penetration could jeopardize power system reliability, as well as which flexibility options could help integrate high levels of RES. For this purpose, we used an energy-planning model from the TIMES family, which provides a realistic representation of power systems and plausible options for their long-term development, completed by a thermodynamic description of power systems to assess their reliability. We applied this model to the case of France and built contrasted scenarios, from 0% to 100% renewable energy penetration by 2050. We also tested different assumptions on Variable Renewable Energy (VRE) production, imports, demand flexibility and biomass potential. We show that high renewable energy penetration would need significant investments in new capacities, new flexibility options along with imports and demand-response, and that it is likely to deteriorate power system reliability if no technologies dedicated to this issue are installed

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Section: State-of-the-art On the Impacts Of Vre Penetration On Power supporting

confidence: 62%

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confidence: 99%

Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis

et al. 2016

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“…In this context, the results of this study suggest that the government should make serious efforts to continue firmly toward creating reliable and positive short-and long-run policies with regard to firms' economic performance. Such efforts should consider limited financial resources [58,59], uncertainty concerning technological prospect regarding R&D costs and eventual performance [60][61][62][63], uncertainty about the demand and preferences of different customer groups regarding the characteristics of RETs [60,61,64,65], concerns over spillovers, accumulated technological knowledge, and practical know-how that firms possess by conducting innovation activities. Other firms could freely use these resources to develop their technology and productivity [66][67][68][69][70][71], which are the main reasons for the difficulty in fully utilizing innovation potential by firms in the RET sector.…”

Section: Discussionmentioning

confidence: 99%

Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms

2019

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Previous studies have investigated how government policies on renewable energy technology (RET) affect economic performance at the industrial level. However, each firm in the RET industry is heterogeneous in terms of their capacities, resources, and the amount of public subsidies they receive. Considering the context in which public subsidies are provided to firms, this study econometrically investigates the effects of government policies on firms’ financial performance using panel data from the Korean RET industry. We consider the results of various panel framework tests; establish a panel vector autoregressive model in first differences; and test the dynamic relationships between firms’ financial performance, government subsidies (R&D- and non-R&D-related), firm size and age, and organizational slack, using a bias-corrected least squares dummy variable estimator. We find that R&D- and non-R&D-related subsidies positively affect firms’ financial performance in the long run. In the short run, there are bidirectional positive causal relationships between firms’ financial performance and organizational slack (and non-R&D-related subsidy), and firm size and non-R&D-related subsidy. A positive short-run relationship runs from R&D-related subsidy to firms’ financial performance, from firm age to non-R&D-related subsidy, and from firm size to firm age. Further, there are dynamic effects in all estimations, demonstrating that the dependent variables of the previous period enhance their values in the current period. The results provide some policy and strategic implications.

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“…The model for Greece in Koltsaklis et al [4], for instance, is divided into five geographical zones, so as to enable policy makers to utilize the model for planning and scenario analysis. Also for planning purposes, the model of Germany in Ludig et al [5] is divided into five regions that correspond to the regions observed by transmission system operators (TSO) in the country. Heitmann et al [6] introduce a more detailed model for Germany that features 29 nodes in an effort to analyze the influence of uncertain and fluctuating parameters such as wind supply on the existing electricity system.…”

Section: Introductionmentioning

confidence: 99%

A Top-Down Spatially Resolved Electrical Load Model

et al. 2017

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Abstract:The increasing deployment of variable renewable energy sources (VRES) is changing the source regime in the electrical energy sector. However, VRES feed-in from wind turbines and photovoltaic systems is dependent on the weather and only partially predictable. As a result, existing energy sector models must be re-evaluated and adjusted as necessary. In long-term forecast models, the expansion of VRES must be taken into account so that future local overloads can be identified and measures taken. This paper focuses on one input factor for electrical energy models: the electrical load. We compare two different types to describe this, namely vertical grid load and total load. For the total load, an approach for a spatially-resolved electrical load model is developed and applied at the municipal level in Germany. This model provides detailed information about the load at a quarterly-hour resolution across 11,268 German municipalities. In municipalities with concentrations of energy-intensive industry, high loads are expected, which our simulation reproduces with a good degree of accuracy. Our results also show that municipalities with energy-intensive industry have a higher simulated electric load than neighboring municipalities that do not host energy-intensive industries. The underlying data was extracted from publically accessible sources and therefore the methodology introduced is also applicable to other countries.

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Assessment of transformation strategies for the German power sector under the uncertainty of demand development and technology availability

Cited by 20 publications

References 27 publications

Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis

Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis

Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms

A Top-Down Spatially Resolved Electrical Load Model

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