
Constantine Spandagos
<p>My research focuses on the intersection of environmental and energy policy, economics, technology and society. I am interested in viable and beneficial transformations of energy systems, and how these are affected by emerging technologies, policy development and human behavior. By combining engineering, data science and social science methods, I aspire to develop interdisciplinary scientific tools to effectively guide energy, environmental, and technology policy towards a cost-effective and beneficial energy future for all. Examples of methods I uses include, but are not limited to, artificial intelligence simulation models (machine learning and fuzzy logic), energy systems modeling, econometrics, behavioral experiments and surveys.</p>
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<p>My work can be best described on the basis of the following themes: <br><br>*Theme 1: Viable and beneficial energy innovations for all. The research objectives within this theme include i) deciphering the social, economic and environmental effects of energy innovation policies with a particular focus on working class households and communities, and ii) identifying optimal policy designs for accelerating innovation while securing energy system affordability and reliability. </p>
<p><br>*Theme 2: Energy behaviors and technology adoption. With this theme, I aim to understand how individual and collective behaviors concerning investment in new technology and demand side management are shaped within specific policy and technology contexts. Furthermore, I explore public acceptance of energy innovations and designs for behavioral change interventions based on information, peer influence and incentives. <br><br>*Theme 3: Interdisciplinary models of socio-technical energy systems. While the previous two themes focus on understanding the behavioral, economic and environmental aspects of energy innovation policies, this third theme concerns innovative methods to integrate these findings into quantitative models of socio-technical energy systems. The target is to develop interdisciplinary policy-informing models that go beyond the state-of-the-art and take into account consumer behavior heterogeneity in energy-relevant contexts. This will enable more realistic projections of energy innovations' viability, pace, and effectiveness.</p>
Courses Taught
- NR 602: Nat Resources&Envrnmtl Policy
- NR 787/887: Adv Topics Sustainable Energy
Research Interests
- Energy Planning/Policy
- Energy Economics
- Artificial Intelligence
- Technological Innovation
- Energy Security
- Energy
- Legislation/Regulation, Energy
- Computer Simulation/Modeling
- Economic Modeling
- Human Factors in Engineering
- Public policy
- Environmental policy
Selected Publications
Spandagos, C. (2024). Achieving decarbonization goals through biofuels: Policy challenges and opportunities in the European Union and the United States. In Advances in Biofuels Production, Optimization and Applications (pp. 269-283). Elsevier. doi:10.1016/b978-0-323-95076-3.00003-x
Spandagos, C., Tovar Reaños, M. A., & Lynch, M. Á. (2023). Energy poverty prediction and effective targeting for just transitions with machine learning. Energy Economics, 128, 107131. doi:10.1016/j.eneco.2023.107131
Spandagos, C., Tovar Reaños, M. A., & Lynch, M. Á. (2022). Public acceptance of sustainable energy innovations in the European Union: A multidimensional comparative framework for national policy. Journal of Cleaner Production, 340, 130721. doi:10.1016/j.jclepro.2022.130721
Spandagos, C., Baark, E., Ng, T. L., & Yarime, M. (2021). Social influence and economic intervention policies to save energy at home: Critical questions for the new decade and evidence from air-condition use. Renewable and Sustainable Energy Reviews, 143, 110915. doi:10.1016/j.rser.2021.110915
Spandagos, C., Yarime, M., Baark, E., & Ng, T. L. (2020). “Triple Target” policy framework to influence household energy behavior: Satisfy, strengthen, include. Applied Energy, 269, 115117. doi:10.1016/j.apenergy.2020.115117
Spandagos, C., & Ng, T. L. (2018). Fuzzy model of residential energy decision-making considering behavioral economic concepts. Applied Energy, 213, 611-625. doi:10.1016/j.apenergy.2017.10.112
Spandagos, C., & Ng, T. L. (2017). Equivalent full-load hours for assessing climate change impact on building cooling and heating energy consumption in large Asian cities. Applied Energy, 189, 352-368. doi:10.1016/j.apenergy.2016.12.039