Mohammad Ansarin , MSc
## Active Projects ##
My current research is about tariff designs in the renewable energy era. Renewables continue to expand in many regions of the world, much of it at a local (distribution grid) level. Here, households or communities install local generation resources to meet some of their electricity needs. Yet many energy retailers stick to conventional tariff designs based on assumptions that are sometimes no longer accurate. We study the implications of using these tariffs and alternative designs on fairness within a subscribing population. This would clarify the consequences of increasing renewables on multiple stakeholders in the electricity retail space.
I have also conducted agent-based modeling research based on the Power Trading Agent Competition. Power TAC is an agent-based competitive simulation of the electricity grid (more info at powertac.org). The goal is to understand the effects of policy and market designs on outcomes for various stakeholders. We analyzed some of the simulation's design choices for the wholesale electricity market and the balancing market and formulated some recommendations for design that is both computationally tractable and realistically acceptable.
I also co-teach the Designing Business Applications course, part of the Business Information Management MSc program (together with Dr. Yashar Ghiassi-Farrokhfal). I have previously taught the Next Generation Business Applications course from the same program. I regularly coach and co-read MSc theses. I have been a member of the RSM Faculty council since September 2017.
Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2018). Cross-subsidies in Energy Co-operative Tariff Designs.
Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2020). The Economic Consequences of Electricity Tariff Design in a Renewable Energy Era. Applied Energy, 275, . https://doi.org/10.1016/j.apenergy.2020.115317
Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2020). Cross-subsidies among residential electricity prosumers from tariff design and metering infrastructure. Energy Policy, 145. https://doi.org/10.1016/j.enpol.2020.111736
Conference proceeding (7)
Ansarin, M. M., Ghiassi-Farrokhfal, Y. Y., Ketter, W. W., & Collins, J. (2020). Economic Inefficiencies of Distributed Generation under Novel Tariff Designs. In International Conference on Applied Energy
Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. J. M. . (2019). Increasing Renewables In Energy Cooperatives Leads To Higher Cross-Subsidies, Depending On Tariff. In 42nd IAEE Conference (International Association for Energy Economics)
Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2017). Cross-subsidies in Energy Cooperative Tariff Designs. In Workshop on Information Technology & Systems (WITS)
Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2016). A cooperative aggregation model for pricing residential energy users with renewable energy sources. In Workshop on Information Technology and Systems
Ansarin, M., Ketter, W., & Collins, J. (2016). Analyzing and improving the energy balancing market in the Power Trading Agent Competition. In IEEE Innovative Smart Grid Technologies Europe (pp. 1) https://doi.org/10.1109/ISGTEurope.2016.7856197
Ansarin, M., Ketter, W., & Collins, J. (2016). Dynamic peak demand pricing under uncertainty in an agent-based retail energy market. In International Joint Conference on Artificial Intelligence, AMEC/TADA Workshop
Ansarin, M., Ghiassi-Farrokhfal, Y., Collins, J., & Ketter, W. (2016). A Demand Response Model for Residential Energy Cooperatives with Distributed Generation. In Workshop on Information Technology and Systems (WITS)
Designing Business Applications
- Study year: 2020/2021, 2019/2020, 2018/2019, 2017/2018
- Code: BM02BIM
- ECTS: 5 Level: ERIM, Exchange, IM/CEMS, Master
BIM Research Methods I - Old style
- Study year: 2019/2020, 2018/2019
- Code: BM05BIM
- ECTS: 2
Next Generation Business Applications
- Study year: 2016/2017, 2015/2016
- Code: BMME016
- ECTS: 6 Level: Master