- Location
- Burg. Oudlaan 50, Rotterdam
- Room
- T09-24
- Telephone
- 0104082155
- ansarin@rsm.nl
Profile
(Mohammad) M 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…
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.
- U. Fretzen, M. Ansarin & T. Brandt (2021). Temporal city-scale matching of solar photovoltaic generation and electric vehicle charging. Applied Energy, 282A:116160. doi: 10.1016/j.apenergy.2020.116160
- M. Ansarin, Y. Ghiassi-Farrokhfal, W. Ketter & J. Collins (2020). Cross-subsidies among residential electricity prosumers from tariff design and metering infrastructure. Energy Policy, 145.
- M. Ansarin, Y. Ghiassi-Farrokhfal, W. Ketter & J. Collins (2020). The Economic Consequences of Electricity Tariff Design in a Renewable Energy Era. Applied Energy.
- M. Ansarin, Y. Ghiassi-Farrokhfal, W. Ketter & J. Collins (2019). Increasing Renewables In Energy Cooperatives Leads To Higher Cross-Subsidies, Depending On Tariff. In 42nd IAEE Conference (International Association for Energy Economics)
- M. Ansarin, Y. Ghiassi-Farrokhfal, W. Ketter & J. Collins (2018). Cross-subsidies in Energy Co-operative Tariff Designs. In 41st IAEE Internation Conference
- M. Ansarin, Y. Ghiassi-Farrokhfal, W. Ketter & J. Collins (2017). Cross-subsidies in Energy Cooperative Tariff Designs. In Workshop on Information Technology & Systems (WITS)
- M. Ansarin, Y. Ghiassi-Farrokhfal, J. Collins & W. Ketter (2016). A Demand Response Model for Residential Energy Cooperatives with Distributed Generation. In Workshop on Information Technology and Systems (WITS). Dublin, Ireland
- M. Ansarin, W. Ketter & J. Collins (2016). Analyzing and improving the energy balancing market in the Power Trading Agent Competition. In IEEE Innovative Smart Grid Technologies Europe doi: 10.1109/ISGTEurope.2016.7856197
- M. Ansarin, Y. Ghiassi-Farrokhfal, W. Ketter & J. Collins (2016). A cooperative aggregation model for pricing residential energy users with renewable energy sources. In Workshop on Information Technology and Systems
- M. Ansarin, W. Ketter & J. Collins (2016). Dynamic peak demand pricing under uncertainty in an agent-based retail energy market. In International Joint Conference on Artificial Intelligence, AMEC/TADA Workshop
Designing Business Applications
- Title
- Designing Business Applications
- Year
- 2020
- Year level
- master, IM/CEMS, Exchange, ERIM
BIM Master Thesis
- Title
- BIM Master Thesis
- Year
- 2020
- Year level
- master
BIM Thesis Clinic
- Title
- BIM Thesis Clinic
- Year
- 2020
- Year level
- master
PhD Candidate
- University
- Erasmus University Rotterdam
- School
- RSM - Rotterdam School of Management
- Department
- Department of Technology and Operations Management
- Telephone
- 0104082155