Open Power System Data – Frictionless data for electricity system modelling

Wiese, Frauke; Schlecht, Ingmar; Bunke, Wolf Dieter; Gerbaulet, Clemens; Hirth, Lion; Jahn, Martin; Kunz, Friedrich; Lorenz, Casimir; Mühlenpfordt, Jonathan; Reimann, Juliane; Schill, Wolf-Peter

doi:10.1016/j.apenergy.2018.11.097

Cited by 94 publications

(49 citation statements)

References 49 publications

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“…By the time we first calibrated the model, renewable generation and installed capacity data were provided by netztransparenz.de, which is a data platform initiated by the German TSOs. Meanwhile, all market data used in this analysis are centrally gathered and made publicly available by the Open Power System Data platform (Wiese et al 2019), and can be found here: https ://open-power -syste m-data.org/.…”

Section: Scenarios Data and Calibration Of The Simulationmentioning

confidence: 99%

Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Retail Pricing Under Carbon Taxation and Variable Renewable Electricity Supply

Gambardella

Pahle

Schill

2019

Environ Resource Econ

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We analyze the gross welfare gains from real-time retail pricing in electricity markets where carbon taxation induces investment in variable renewable technologies. Applying a stylized numerical electricity market model, we find a U-shaped association between carbon taxation and gross welfare gains. The benefits of introducing real-time pricing can accordingly be relatively low at relatively high carbon taxes and vice versa. The nonmonotonous change in welfare gains can be explained by corresponding changes in the inefficiency arising from "under-consumption" during low-price periods rather than by changes in wholesale price volatility. Our results may cast doubt on the efficiency of ongoing roll-outs of advanced meters in many electricity markets, since net benefits might only materialize at relatively high carbon tax levels and renewable supply shares.

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Section: Scenarios Data and Calibration Of The Simulationmentioning

confidence: 99%

Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Retail Pricing Under Carbon Taxation and Variable Renewable Electricity Supply

Gambardella

Pahle

Schill

2019

Environ Resource Econ

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“…For WPP in DK, we used the Open Power System Data platform which provides open data dedicated to electricity system research [28]. The platform is a widely used tool for modeling and scientific research in energy systems in recent years [37–41]. The full data set for DK included 5615 entries for onshore WPP sites in the database.…”

Section: Methods and Datamentioning

confidence: 99%

Observation-based estimates of land availability for wind power: a case study for Czechia

2019

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BackgroundThe availability of land for the installation of wind power turbines is restricted by numerous factors. Besides climatic conditions, the deployment of wind energy is limited by technical, social, economic, and environmental factors. Typically, assessments of land availability for wind power use legal and technical criteria to estimate the potential for wind power expansion. In contrast, we use observed characteristics of wind power generation sites existing in Austria and Denmark to estimate its potential expansion in Czechia. We combined data on wind turbine locations with data on land use, wind speeds, human impact on land, and nature conservation areas.ResultsOur analysis shows that the density of wind power in Austria is variable, but higher on average (4.79 MW km−2) than in Denmark (1.76 MW km−2). Austrian wind turbines have been installed in areas where the human impact on land is mostly higher than the Austrian average, while in Denmark, no difference is observed. Regarding the land use composite, the share of agricultural land on sites with wind turbines is on average much higher (86%), while the share of forest is much lower (7%) in both countries. We identified a maximum potential area in Czechia of 543 km2 with Austrian and 421 km2 with Danish characteristics. When conservatively assuming observed historical power densities, this area translates to 2295 MW and 741 MW of installed wind power capacity, respectively. These results are a magnitude of order lower than the potentials found in existing studies. In a sensitivity analysis, we have examined that the availability of potential sites depends mainly on the population density, the human impact on land, prevailing wind speeds, and the height above sea level.ConclusionsWe estimated available land area for potential wind turbine installations in Czechia using our newly developed methodology based on observed site characteristics of today’s wind power infrastructure in Austria and Denmark. Available land area indicated possible overestimation of wind power capacities proposed in the recent studies on the renewable energy transition. Hence, more rigorous consideration of land availability is required for assessments of potential wind power expansion.

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“…The When2Heat dataset is a contribution to the Open Power System Data project and follows the frictionless data principles 6 . Focusing on the representation of heat pumps, the aim is to improve efficiency, transparency, and reproducibility of electricity market models, which might be part of more general integrated energy system analyses.…”

Section: Background and Summarymentioning

confidence: 99%

Time series of heat demand and heat pump efficiency for energy system modeling

2019

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With electric heat pumps substituting for fossil-fueled alternatives, the temporal variability of their power consumption becomes increasingly important to the electricity system. To easily include this variability in energy system analyses, this paper introduces the “When2Heat” dataset comprising synthetic national time series of both the heat demand and the coefficient of performance (COP) of heat pumps. It covers 16 European countries, includes the years 2008 to 2018, and features an hourly resolution. Demand profiles for space and water heating are computed by combining gas standard load profiles with spatial temperature and wind speed reanalysis data as well as population geodata. COP time series for different heat sources – air, ground, and groundwater – and different heat sinks – floor heating, radiators, and water heating – are calculated based on COP and heating curves using reanalysis temperature data. The dataset, as well as the scripts and input parameters, are publicly available under an open source license on the Open Power System Data platform.

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Open Power System Data – Frictionless data for electricity system modelling

Cited by 94 publications

References 49 publications

Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Retail Pricing Under Carbon Taxation and Variable Renewable Electricity Supply

Do Benefits from Dynamic Tariffing Rise? Welfare Effects of Real-Time Retail Pricing Under Carbon Taxation and Variable Renewable Electricity Supply

Observation-based estimates of land availability for wind power: a case study for Czechia

Time series of heat demand and heat pump efficiency for energy system modeling

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