Skip to content!

Search Publications

clear
0 filter(s) selected
close
Go to page
remove add
10 results, from 1
  • DIW Wochenbericht 22 / 2022

    Wärmepumpen statt Erdgasheizungen: Umstieg durch Ausbau der Solarenergie unterstützen

    Die verstärkte Nutzung von Wärmepumpen ist eine wichtige Maßnahme zur Senkung der CO2-Emissionen im Wärmesektor. Zudem können Wärmepumpen dazu beitragen, die Importe von Erdgas zu reduzieren. Mit Hilfe eines Stromsektormodells werden die Auswirkungen eines beschleunigten Ausbaus von Wärmepumpen auf den deutschen Stromsektor untersucht. Knapp sechs Millionen zusätzliche Wärmepumpen würden den Strombedarf ...

    2022| Alexander Roth, Carlos David Gaete Morales, Adeline Guéret, Dana Kirchem, Martin Kittel, Wolf-Peter Schill
  • DIW Weekly Report 22/23 / 2022

    Expanding Solar Energy Capacity to Power the Transition to Heat Pumps

    Increasing the use of heat pumps is an important measure for reducing carbon emissions in the heating sector as well as natural gas imports. This report uses an electricity sector model to investigate the effects of an accelerated expansion of the heat pump stock on the German electricity sector in 2030. Adding around six million heat pumps would increase electricity demand by nine percent in 2030; ...

    2022| Alexander Roth, Carlos David Gaete Morales, Adeline Guéret, Dana Kirchem, Martin Kittel, Wolf-Peter Schill
  • Refereed essays Web of Science

    DIETERpy: A Python Framework for the Dispatch and Investment Evaluation Tool with Endogenous Renewables

    DIETER is an open-source power sector model designed to analyze future settings with very high sharesof variable renewable energy sources. It minimizes overall system costs, including fixed and variablecosts of various generation, flexibility and sector coupling options. Here we introduce DIETERpy thatbuilds on the existing model version, written in the General Algebraic Modeling System (GAMS),and ...

    In: SoftwareX 15 (2021), 100784, 7 S. | Carlos Gaete-Morales, Martin Kittel, Alexander Roth, Wolf-Peter Schill
  • Refereed essays Web of Science

    An Open Tool for Creating Battery-Electric Vehicle Time Series from Empirical Data, emobpy

    There is substantial research interest in how future fleets of battery-electric vehicles will interact with the power sector. Various types of energy models are used for respective analyses. They depend on meaningful input parameters, in particular time series of vehicle mobility, driving electricity consumption, grid availability, or grid electricity demand. As the availability of such data is highly ...

    In: Scientific Data 8 (2021), 152, 18 S. | Carlos Gaete-Morales, Hendrik Kramer, Wolf-Peter Schill, Alexander Zerrahn
  • Refereed essays Web of Science

    Life Cycle Environmental Impacts of Electricity from Fossil Fuels in Chile over a Ten-Year Period

    This study uses life cycle assessment to evaluate the environmental impacts of electricity generated from fossil fuels in Chile over a ten–year period, from 2004 to 2014. The focus on fossil fuels is highly relevant for Chile because around 60% of electricity currently comes from natural gas, coal and oil. The impacts are first considered at the level of individual technologies, followed by the evaluation ...

    In: Journal of Cleaner Production 232 (2019), S. 1499-1512 | Carlos Gaete-Morales, Alejandro Gallego-Schmid, Laurence Stamford, Adisa Azapagic
  • Refereed essays Web of Science

    A Novel Framework for Development and Optimisation of Future Electricity Scenarios with High Penetration of Renewables and Storage

    Although electricity supply is still dominated by fossil fuels, it is expected that renewable sources will have a much larger contribution in the future due to the need to mitigate climate change. Therefore, this paper presents a new framework for developing Future Electricity Scenarios (FuturES) with high penetration of renewables. A multi-period linear programming model has been created for power-system ...

    In: Applied Energy 250 (2019), S. 1657-1672 | Carlos Gaete-Morales, Alejandro Gallego-Schmid, Laurence Stamford, Adisa Azapagic
  • Externe Monographien

    Flexible Heat Pumps: Must-Have or Nice to Have in a Power Sector with Renewables?

    Heat pumps are a key technology for reducing fossil fuel use in the heating sector. A transition to heat pumps implies an increase in electricity demand, especially in cold winter months. Using an open-source power sector model, we examine the power sector impacts of a massive expansion of decentralized heat pumps in Germany in 2030, combined with buffer heat storage of different sizes. Assuming that ...

    Ithaca: arXiv.org, 2023, 27 S.
    (arXiv ; 2307.12918)
    | Alexander Roth, Dana Kirchem, Carlos Gaete-Morales, Wolf-Peter Schill
  • Externe Monographien

    Techno-Economic Criteria to Evaluate Power Flow Allocation Schemes

    We develop novel quantitative techno-economic evaluation criteria for power flow allocation schemes. Such schemes assign which nodes are responsible for which proportion of power flows on a line in a meshed electricity transmission network. As this allocation is, as such, indeterminate, the literature has proposed a number of dedicated schemes. To better understand the implications of applying different ...

    Ithaca: arXiv.org, 2020, 28 S.
    (arXiv ; 2005.03464)
    | Fabian Hofmann, Alexander Zerrahn, Carlos Gaete-Morales
  • Externe Monographien

    An Open Tool for Creating Battery-Electric Vehicle Time Series from Empirical Data: emobpy

    There is substantial research interest in how future fleets of battery-electric vehicles will interact with the power sector. To this end, various types of energy models depend on meaningful input parameters, in particular on time series of BEV motor electricity consumption, grid availability, and grid electricity demand. As the availability of such data is highly limited, we introduce the open-source ...

    Ithaca: arXiv.org, 2020, 17 S.
    (arXiv ; 2005.02765)
    | Carlos Gaete-Morales, Hendrik Kramer, Wolf-Peter Schill, Alexander Zerrahn
  • Externe Monographien

    DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables

    DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and variable costs of various generation, storage and sector coupling options. Here we introduce DIETERpy that builds on the existing model version, written in the General Algebraic Modeling System (GAMS), and ...

    Ithaca: arXiv.org, 2020, 12 S.
    (arXiv ; 2010.00883)
    | Carlos Gaete-Morales, Martin Kittel, Alexander Roth, Wolf-Peter Schill, Alexander Zerrahn
10 results, from 1
keyboard_arrow_up