Research
I wrote my PhD dissertation on agent-based modeling of electricity markets, trying to understand and model what the transition towards net-zero emission energy systems can look like.
I think we are not far from the point that abundant clean energy for all can become a reality. Bringing this to reality is paramount. See for example this learning curve, showing the orders of magnitude of cost decline of solar energy over the decades. This will continue.
Most recent publications and talks:
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Klein, M., 2022. “Use of energy scenarios at a TSO in Germany – recent developments and opportunities for research.” ENERDAY 2022, 16th International Conference on Energy Economics and Technology, Dresden, Germany. (keynote speaker) Presentation
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Xiao, M., Junne, T., Haas, J. & Klein, M., 2021. “Plummeting costs of renewables - Are energy scenarios lagging?” Energy Strategy Reviews, 35, 100636, DOI: 10.1016/j.esr.2021.100636. Download Copy
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Nienhaus, K., Klein, M., Schimeczek, C., Deissenroth-Uhrig, M., Frey, U., 2021. “Self-reinforcing deflationary price dynamics under the variable market premium scheme.” 1st International Association for Energy Economics (IAEE) Online Conference (peer-reviewed submission)
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Klein, M., 2020. “Agent-based modeling and simulation of renewable energy market integration: the case of PV-battery systems.” University of Stuttgart, Dissertation, DOI: 10.18419/opus-11132. Download Copy
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Frey, U., Klein, M., Nienhaus, K. & Schimeczek, C., 2020. “Self-Reinforcing Electricity Price Dynamics under the Variable Market Premium Scheme.” Energies, 13(20), 5350, DOI: 10.3390/en13205350. Download Copy
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Schreck, S., Schroedter-Homscheidt, M., Klein, M., Cao, K., 2020. “Satellite image-based generation of high frequency solar radiation time series for the assessment of solar energy systems.“ Meteorologische Zeitschrift (Contributions to Atmospheric Sciences), DOI: 10.1127/metz/2020/1008. Download Copy
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Thess, A., Klein, M., Nienhaus, K. & Pregger, T., 2020. “Global carbon surcharge for the reduction of anthropogenic emission of carbon dioxide.” Energy, Sustainability and Society, 10:9. DOI: 10.1186/s13705-020-0242-z. Download Copy
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Klein, M., Ziade, A., de Vries, L., 2019. “Aligning prosumers with the electricity wholesale market – The impact of time-varying price signals and fixed network charges on solar self-consumption.” Energy Policy, 134, pp. 110901, DOI: 10.1016/j.enpol.2019.110901. Link, Code
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Klein, M., Frey, U., Reeg, M., 2019. “Models Within Models – Agent-Based Modelling and Simulation in Energy Systems Analysis.” Journal of Artificial Societies and Social Simulation, 22 (4), 6, DOI: 10.18564/jasss.4129. Download Copy
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Frey, U., Klein, M. & Deissenroth, M., 2019. “Modelling complex investment decisions in Germany for Renewables with different machine learning algorithms.” Environmental Modelling and Software, 118, pp. 61-75, DOI: 10.1016/j.envsoft.2019.03.006. Link
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Klein, M., Deissenroth, M., Schimeczek, C., 2019. “Mapping the challenge of renewable electricity market integration – Multi-scenario analysis with an agent-based electricity market model.” IEWT, Vienna, Austria. Download Copy
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Klein, M., Xiao, M. & Junne, T., 2018. “Benchmarking VRE cost assumptions with awarded renewable energy auctions - A comparative assessment of global energy scenarios.” Energy Scenarios Conference, Karlsruhe, Germany. Download Copy
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Deissenroth, M., Klein, M., Nienhaus, K., & Reeg, M., 2017. “Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration.” Complexity, vol. 2017, DOI: 10.1155/2017/7494313. Download Copy
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Klein, M. & Deissenroth, M., 2017. “When do households invest in solar photovoltaics? An application of prospect theory.” Energy Policy, 109, pp. 270–278, DOI: 10.1016/j.enpol.2017.06.067. Download Copy
etc.
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Visit those projects: openMod, model.energy, renewables.ninja.