dr. Y. (Yashar) Ghiassi-Farrokhfal

Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Associate Member ERIM
Field: Logistics & Information Systems
Affiliated since 2015

Dr. Yashar Ghiassi-Farrokhfal is an Associate Professor at the Rotterdam School of Management, Erasmus University. Additionally, he serves as the academic director of smart energy and sustainability at the Erasmus Center for Data Analytics (ECDA) and holds the position of Erasmus Uni. scientific lead at the Centre of Energy System Intelligence (CESI). He obtained his Ph.D. from the University of Toronto, Canada, and has numerous publications in esteemed journals, focusing on the topic of energy transition. Dr. Ghiassi-Farrokhfal has been continuously invited as guest speaker in leading energy discussion stages such as the ‘World Energy Congress (WEC)’, and has organized numerous conferences and workshops in the field of energy transition. He has secured multiple grants to work on European and Dutch projects, including FlexSUS (municipal heat transition), MAGPIE (Energy transition in Ports), HyTROS (Hydrogen market), Com2Heat (composite-based heat network), MODES (Data layer in energy markets). Employing a multi-disciplinary approach, he has delved into diverse facets of energy transitions such as sector coupling, microgrids, electric vehicles, hydrogen, energy storage, and market mechanisms at retail, wholesale, peer-to-peer, and bilateral levels. Notably, his recent interests include investigating the role of energy data and the associated challenges in the context of the digital energy transition.

Publications

  • Academic (20)
    • Ghiassi-Farrokhfal, Y., Crisostomo Pereira Belo, R., Hesamzadeh, M. R., & Bunn, D. (2023). Optimal Electricity Imbalance Pricing for the Emerging Penetration of Renewable and Low-Cost Generators. Manufacturing and Service Operations Management, 25(5), 1966-1983. https://doi.org/10.1287/msom.2021.0555

    • Esmat, A., Ghiassi-Farrokhfal, Y., Gunkel, P. A., & Bergaentzlé, C.-M. (2023). A decision support system for green and economical individual heating resource planning. Applied Energy, 347(121442), Article 121442. https://doi.org/10.1016/j.apenergy.2023.121442

    • Naseri, N., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2023). Understanding and managing the participation of batteries in reserve electricity markets. Decision Support Systems, 165, Article 113895. https://doi.org/10.1016/j.dss.2022.113895

    • Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2022). A review of equity in electricity tariffs in the renewable energy era. Renewable and Sustainable Energy Reviews, 161, Article 112333. https://doi.org/10.1016/j.rser.2022.112333

    • Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2022). Economic inefficiencies of pricing distributed generation under novel tariff designs. Applied Energy, 313, Article 118839. https://doi.org/10.1016/j.apenergy.2022.118839

    • Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2021). Making Green Power Purchase Agreements More Predictable and Reliable for Companies. Decision Support Systems. https://doi.org/10.1016/j.dss.2021.113514

    • 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, Article 115317. https://doi.org/10.1016/j.apenergy.2020.115317

    • Pevec, D., Babic, J., Carvalho, A., Ghiassi-Farrokhfal, Y., Ketter, W., & Podobnik, V. (2020). A Survey-Based Assessment of How Existing and Potential Electric Vehicle Owners Perceive Range Anxiety. Journal of Cleaner Production, 276, Article 122779. https://doi.org/10.1016/j.jclepro.2020.122779

    • 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

    • Esmat, A., De Vos, M., Ghiassi-Farrokhfal, Y., Palensky, P., & Epema, D. (2020). A Novel Decentralized Platform for Peer-to-Peer Energy Trading Market with Blockchain Technology. Applied Energy, 282, Article 11623. https://doi.org/10.1016/j.apenergy.2020.116123

    • Kazhamiaka, F., Ghiassi-Farrokhfal, Y., Keshav, S., & Rosenberg, C. (2019). Comparison of Different Approaches for Solar PV and Storage Sizing. IEEE Transactions on Sustainable Computing. https://doi.org/10.1109/TSUSC.2019.2946246

    • Pevec, D., Babic, J., Kayser, MA., Carvalho, A., Ghiassi-Farrokhfal, Y., & Podobnik, V. (2018). A Data-Driven Statistical Approach for Extending Electric Vehicle Charging Infrastructure. International Journal of Energy Research, 42(9), 3102-3120. https://doi.org/10.1002/er.3978

    • Basmadjian, R., Ghiassi-Farrokhfal, Y., & Vishwanath, A. (2018). Hidden Storage in Data Centers: Gaining Flexibility Trough Cooling Systems. Lecture Notes in Computer Science, 10740, 68-82. https://doi.org/10.1007/978-3-319-74947-1_5

    • Ghiassi-Farrokhfal, Y., Rosenberg, C., Keshav, S., & Adjaho, M.-B. (2016). Joint Optimal Design and Operation of Hybrid Energy Storage Systems. IEEE Journal on Selected Areas in Communications, 34(3), 639-650. https://doi.org/10.1109/JSAC.2016.2525599

    • Ghiassi-Farrokhfal, Y., Keshav, S., Rosenberg, C., & Ciucu, F. (2015). Solar Power Modelling: An Analytical Approach. IEEE Transactions on Sustainable Energy, 6(1), 162-170. https://doi.org/10.1109/TSTE.2014.2359795

    • Ghiassi-Farrokhfal, Y., Keshav, S., & Rosenberg, C. (2015). Towards a Realistic Storage Modelling and Performance Analysis in Smart Grids. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2014.2330832

    • Ghiassi-Farrokhfal, Y., Kazhamiaka, F., Rosenberg, C., & Keshav, S. (2015). Optimal Design of Solar PV Farms With Storage. IEEE Transactions on Sustainable Energy, 6(4), 1586-1593. https://doi.org/10.1109/TSTE.2015.2456752

    • Liebeherr, J., & Ghiassi-Farrokhfal, Y. (2015). On the Output Rate of Overloaded Link Schedulers. IEEE Communications Letters, 19(4), 573-576. https://doi.org/10.1109/LCOMM.2015.2401569

    • Singla, S., & Ghiassi-Farrokhfal, Y. (2014). Using Storage to Minimize Carbon Footprint of Diesel Generators for Unreliable Grids. IEEE Transactions on Sustainable Energy, 5(4), 1270-1277. http://hdl.handle.net/1765/79420

    • Liebeherr, J., Ghiassi-Farrokhfal, Y., & Burchard, A. (2011). On the impact of link scheduling on end-to-end delays in large networks. IEEE Journal on Selected Areas in Communications, 29(5), 1009-1020. https://doi.org/10.1109/JSAC.2011.110511

  • Academic (27)
    • Rahman, S., Punt, L., Ardakanian, O., Ghiassi-Farrokhfal, Y., & Tan, X. (2022). On Efficient Operation of a V2G-Enabled Virtual Power Plant: When Solar Power Meets Bidirectional Electric Vehicle Charging. In BuildSys 2022 - Proceedings of the 2022 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 119-128) https://doi.org/10.1145/3563357.3564067

    • Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2022). Economic inefficiencies of pricing distributed generation under novel tariff designs. In International Association for Energy Economics Online Conference (Vol. 313)

    • Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2020). Economic Inefficiencies of Distributed Generation under Novel Tariff Designs. In International Conference on Applied Energy

    • Naseri, N., Ghiassi-Farokhfal, Y., & Collins, J. (2019). A trade-off analysis between the spot and real-time electricity markets for batteries. In 40th International Conference on Information Systems, ICIS 2019 Article 2267 Association for Information Systems. https://aisel.aisnet.org/icis2019/sustainable_is/sustainable_is/8/

    • Pevec, D., Babic, J., Carvalho, A., Ghiassi-Farrokhfal, Y., Ketter, W., & Podobnik, V. (2019). Electric Vehicle Range Anxiety: An Obstacle for the Personal Transportation (R) evolution? In 4th International Conference on Smart and Sustainable Technologies (SpliTech) IEEE. https://doi.org/10.23919/SpliTech.2019.8783178

    • Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2019). Increasing Renewables In Energy Cooperatives Leads To Higher Cross-Subsidies, Depending On Tariff. In 42nd IAEE Conference (International Association for Energy Economics)

    • Nasiri, N., Ghiassi-Farrokhfal, Y., & Ketter, W. (2019). Batteries With Market Power In Electricty Markets. In 42nd IAEE Conference (International Association for Energy Economics)

    • Ghiassi-Farrokhfal, Y., Nasiri, N., Ketter, W., & Collins, J. (2019). The Role of Batteries with Market Power in Electricity Markets. In Workshop on Information Technologies and Systems (WITS)

    • Ghiassi-Farrokhfal, Y., & van Lunteren, B. (2019). Designing an Inter-Sectoral Energy Storage System. In 42nd IAEE Conference (International Association for Energy Economics)

    • Naseri, N., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2019). Battery with Market Power in Electricity Markets. In Workshop on Information Technologies and Systems (WITS)

    • Kazhamiaka, F., Ghiassi-Farrokhfal, Y., Keshav, S., & Rosenberg, C. (2018). Robust and Practical Approaches for Solar PV and Storage Sizing. In e-Energy '18 Proceedings of the Ninth International Conference on Future Energy Systems https://doi.org/10.1145/3208903.3208935

    • Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2017). Designing a Battery-Friendly Electricity Market. In International Conference on Information Systems (ICIS-17)

    • Ansarin, M., Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2017). Cross-subsidies in Energy Cooperative Tariff Designs. In Workshop on Information Technology & Systems (WITS)

    • van Gelder, C., & Ghiassi-Farrokhfal, Y. (2016). On The Reliability Gain of Neighborhood Coalitions: A Data-Driven Study. In IEEE SmartGridComm.

    • Ghiassi-Farrokhfal, Y., Ketter, W., & Collins, J. (2016). Analyzing Market Pricing Schemes To Integrate Renewable Sources. 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., 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)

    • Singla, S., Ghiassi-Farrokhfal, Y., & Keshav, S. (2014). Battery Provisioning and Scheduling for a Hybrid Battery-Diesel Generator System. In ACM SIGMETRICS Performance Evaluation Review (Vol. 41, 3, pp. 71-76) https://doi.org/10.1145/2567529.2567552

    • Ghiassi-Farrokhfal, Y., Keshav, S., & Rosenberg, C. (2014). An EROI Analysis of Renewable Energy Farms with Storage. In e-Energy '14: Proceedings of the 5th international conference on Future energy systems https://doi.org/10.1145/2602044.2602064

    • Singla, S., Ghiassi-Farrokhfal, Y., & Keshav, S. (2013). Near-Optimal Scheduling for a Hybrid Battery-Diesel Generator for Offline-Grid Locations. In Proceedings of ACM Sigmetrics http://hdl.handle.net/1765/79425

    • Ghiassi-Farrokhfal, Y., & Liebeherr, J. (2013). Capacity Provisioning for Schedulers with Tiny Buffers. In 2013 Proceedings IEEE INFOCOM (pp. 2445-2453) https://doi.org/10.1109/INFCOM.2013.6567050

    • Ghiassi-Farrokhfal, Y., & Ciucu, F. (2012). On the Impact of Finite Buffers on Per-Flow Delays in FIFO Queues. In Proceedings of International Teletraffic Congress (ITC) http://hdl.handle.net/1765/79428

    • Ghiassi-Farrokhfal, Y., Liebeherr, J., & Burchard, A. (2011). The impact of link scheduling on long paths: statistical analysis and optimal bounds. In 2011 Proceedings IEEE INFOCOM https://doi.org/10.1109/INFCOM.2011.5934905

    • Liebeherr, J., & Ghiassi-Farrokhfal, Y. (2010). Does link scheduling matter on long paths? In Proceedings of ICDCS http://hdl.handle.net/1765/79430

    • Ghiassi-Farrokhfal, Y., & Liebeherr, J. (2009). Output characterization of constant bit rate traffic in FIFO schedulers. In IEEE Communications Letters (Vol. 13, 8, pp. 618-620) https://doi.org/10.1109/LCOMM.2009.090979

    • Ghiassi-Farrokhfal, Y., Arbab, V. R., & Pakravan, M. R. (2006). A near optimum RREQ flooding algorithm in sensor networks. In -

    • Ghiassi-Farrokhfal, Y., Arbab, V. R., & Pakravan, M. R. (2006). Estimation error minimization in sensor networks with mobile agents. In -

  • Academic (1)
    • Nikolopoulou, K., Van Koert, M., Ghiassi-Farrokhfal, Y., & Ansarin, M., (2021). Going Greener and Smarter: The Energy Transition at the Port of Rotterdam's Industrial Complex, 19 p., RSM Case Development Centre http://hdl.handle.net/1765/137041

The Economic Consequences of Electricity Pricing in the Renewable Energy Era
  • Role: Daily Supervisor
  • PhD Candidate: Mohammad Ansarin
  • Time frame: 2015 - 2021
Market Risks and Strategies in Power Systems Integrating Renewable Energy
  • Role: Member Doctoral Committee
  • PhD Candidate: Derck Koolen
  • Time frame: 2014 - 2019
(In)flexibility in Power Markets with Supply from Variable Renewable Sources
  • Role: Member Doctoral Committee
  • PhD Candidate: Cristian Stet
  • Time frame: 2017 - 2021
Ph.D. Research in Energy Transition
  • Role: Co-promotor
  • PhD Candidate: Linda Punt
  • Time frame: 2022 -
Parttime PhD programme
Parttime PhD programme
  • Role: Co-promotor
  • PhD Candidate: Brieuc Corlay
  • Time frame: 2023 -
Asymmetric Information in Programmatic Advertising. Three studies on adverse selection, mechanism choices, and fee structures
  • Role: Member Doctoral Committee
  • PhD Candidate: Francesco Balocco
  • Time frame: 2016 - 2023
PhD Research in Smart and Integrated Energy Transition
  • Role: Co-promotor
  • PhD Candidate: Ali Nikseresht
  • Time frame: 2024 -
Demand Management for Attended Home Service Delivery
  • Role: Co-promotor
  • PhD Candidate: Ehsan Aghamohammadzadeh
  • Time frame: 2022 -
2015
February
18

Address

Visiting address

Office: Mandeville Building T09-11
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands