Team

Academic Staff

M.Sc. Tobias Ader

Room:
R11 T07 C20
Phone:
+49 201 18-33127
Fax:
+49 201 18-32703
Email:
Consultation Hour:
nach Vereinbarung
Address:
Lehrstuhl für Energiewirtschaft
Universität Duisburg-Essen, Campus Essen
Fakultät für Wirtschaftswissenschaften
Universitätsstraße 12
45141 Essen

Curriculum Vitae:

seit 02/2025 Universität Duisburg-Essen
Wissenschaftlicher Mitarbeiter am Lehrstuhl für Energiewirtschaft

10/2022 – 01/2025 Ruhr-Universität Bochum
Masterstudium (M.Sc.) Umweltingenieurswissenschaften

10/2019 – 09/2022 Ruhr-Universität Bochum
Bachelorstudium (B.Sc.) Umwelttechnik und Ressourcenmanagement

Projects:

Laufend:

  • KliWinBa – Klimaneutrale Wärme in industriell geprägten Ballungsräumen – Systemische Bewertung des Beitrags von innovativen Technologien für die Wärmewende im Gebäudebestand
  • Nemo X – Gutachten im Rahmen der Prüfung des Netzentwicklungsplans Strom 2025 durch die Bundesnetzagentur

Publications:

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  • Sieger, Lisa; Ader, Tobias; Brunsch, Daniel; Weber, Christoph: Demand vs. Consumption: A Causal Inference Approach for the Gap in Energy Performance Certificates in German Residential Buildings. Preprint, SSRN, Essen, 2026. doi:10.2139/ssrn.7552674 Details Full textCitation

    Energy Performance Certificates (EPCs) are a central instrument of building energy policy in the European Union, yet their reliability depends critically on the consistency of the underlying assessment methodology. In Germany, two legally equivalent but methodologically distinct certificate types coexist: demand-based certificates, which calculate theoretical energy demand under standardized conditions, and consumption-based certificates, which are derived from metered energy consumption data. This paper provides the first large-scale empirical comparison of the two certificate types for the German residential building stock, using Coarsened Exact Matching (CEM) to construct observationally comparable groups of buildings differing only in certificate type. Drawing on approximately 392,700 matched property listings from the RWI-GEO-RED dataset (2007–2025), we estimate a conditional demand–consumption gap of 44.5 kWh/m²a, or approximately 29.4% of the consumption-based mean. The gap varies systematically with building vintage – exceeding 50% for pre-1958 buildings and reversing to -16% for post-2015 buildings – and with heating technology. Quantile regression confirms that discrepancies are present throughout the efficiency distribution and are largest among the most energy-inefficient buildings. Misclassification analysis reveals that 77.9% of comparable building pairs receive different energy efficiency class assignments depending on certificate type, with 28.6% straddling the F/G boundary at 200 kWh/m²a – a threshold of particular salience for owners, buyers, and policymakers assessing the worst-performing segment of the residential building stock. These findings call into question the legal equivalence of the two certificate types and have direct implications for the transparency of real estate markets and the consistency of building energy regulation.

Talks:

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  • Brunsch, Daniel; Ader, Tobias: Wärmewende konkret: Das KliWinBa-Tool für den Heizsystemvergleich. Workshop: Wärmewende in Ballungsräumen: Wie kommen wir jetzt voran?, 6th Oct 2026, Essen.
  • Ader, Tobias; Brunsch, Daniel: Machbarkeit und Klimafreundlichkeit unterschiedlicher Heizsysteme – Projektergebnisse und Online-Tool. Workshop: Wie gelingt die Wärmewende in Ballungsräumen, 9th Oct 2025, Essen.

Tutored Theses:

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  • Wirtschaftliche Analyse von Versorgungsvarianten zur klimaneutralen Wärmeversorgung bestehender Wärmenetze (Master Thesis Markets and Enterprises, 2026)
  • Analyse von kleinräumigen Indikatoren für Energiearmut (Bachelor Thesis Business Administration)
  • Analyse der Betriebswirtschaftlichkeit von Langzeitspeichern im Vergleich zu Peakern zur Abdeckung von Spitzenlasten in der deutschen Energieversorgung unter Berücksichtigung verschiedener Zukunftsszenarien (Master Thesis Industrial Engineering, 2026)
  • Optimale Investitionsentscheidungen für Photovoltaik-Anlagen und Batteriespeicher im Einzelhandel: Entwicklung und Anwendung eines datenbasierten Optimierungsmodells (Bachelor Thesis Business Administration - Energy and Finance, 2025)