dr. Y. (Yashar) Ghiassi-Farrokhfal

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

Yashar Ghiassi-Farrokhfal is an Associate Professor at the Rotterdam School of Management. Additionally, he is the academic director of Smart Energy at the Erasmus Center for Data Analytics (ECDA) and the communication director of ACM SIGEnergy. He obtained his Ph.D. degree from the University of Toronto, Canada. He has several publications in top-notch journals and has organized multiple conferences/workshops in the field of the energy transition. He has also been involved in multiple European projects such as FlexSUS (heat transition of municipalities) and MAGPIE (Energy transition in Ports). He uses multi-disciplinary approaches and has studied several aspects 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.

Publications

Article (20)

  • 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

    • 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

    • 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

    • 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). 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

    • 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

    • 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

    • 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., 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

    • 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

    • 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

Conference proceeding (27)

  • 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

    • Ghiassi-Farrokhfal, Y., & van Lunteren, B. (2019). Designing an Inter-Sectoral Energy Storage System. 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)

    • 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)

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

    • 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)

    • 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)

    • 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

    • 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., Collins, J., & Ketter, W. (2016). A Demand Response Model for Residential Energy Cooperatives with Distributed Generation. In Workshop on Information Technology and 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., 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. (2014). Battery Provisioning and Scheduling for a Hybrid Battery-Diesel Generator System. In ACM SIGMETRICS Performance Evaluation Review (Vol. 41, pp. 71-76) https://doi.org/10.1145/2567529.2567552

    • 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

    • 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., & 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, pp. 618-620) https://doi.org/10.1109/LCOMM.2009.090979

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

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

PhD Tracks (7)

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 -
Modeling Electricity Prices in Europe: Understanding Critical Factors and Revisions to Energy Policies for Alleviating Future Spike in Electricity Prices.
Modeling Electricity Prices in Europe: Understanding Critical Factors and Revisions to Energy Policies for Alleviating Future Spike in Electricity Prices.
  • Role: Co-promotor
  • PhD Candidate: Bosun Anifowoshe
  • Time frame: 2021 -
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 Vacancy (1)

PhD Research in Smart and Integrated Energy Transition

A hydrogen-powered future is not just a vision; it's a necessity for a sustainable and clean energy transition.The Netherlands particularly is well positioned to be the future hydrogen hub of Europe.This is why the Dutch government has made great investments in the R&D of the hydrogen economy. This PhD project is also funded by this program. The overall project is formed through the ‘Hydrogen Transport, Offshore and Storage’ (HyTROS) consortium, which is a public private collaboration with 11 universities, 2 research institutes, 2 academia of applied sciences (HBO) and 19 industrial partners, of which 4 are co-applicant and 15 are co-funders. The consortium contains all TSO’s and DSO’s in the Netherlands that will transport hydrogen and future storage operators, as well as supply industry for on- and offshore pipeline installation, inspection and maintenance.

Our role in this consortium is to develop a hydgoran market for a promising hydrogen economy. This is to analyze the challenges around upscaling of the hydrogen market, the necessary infrastructure development, and the system integration between the future hydrogen and power grid to enable a stable energy system for the future.

As such, we are seeking highly motivated students interested in this topic, with demonstrated academic ability, those who possess a commitment to interdisciplinary research on significant information technology and management issues, and those who desire to pursue an academic research career in this field. You will be part of the Business Information Management (BIM) section within the Department of Technology & Operations Management at the Rotterdam School of Management, Erasmus University.

Applicants must have strong quantitative training, with preference given to candidates who have earned an MSc, MPhil or Research Master in economics, computer science, engineering, econometrics, statistics, or a related field. Successful candidates have preferably strong backgrounds in economics, optimization, AI, and proficiency with Python, or other programming languages.

As a Ph.D. student, you will gain the training and experience necessary to conduct independent research through course work in information systems, economics, econometrics, machine learning, optimization, and large-scale data analytics. You will work closely with the advisors to define, develop, and execute your own research. The Ph.D. dissertation will be defined by the student with inputs from the advisors, and thus requires creativity, self-direction, and a passion for scientific inquiry.

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Event (1)

2015
February
18
Is Storage Profitable for Large Scale Renewable Integration?
Research Seminar
As: Speaker

Address

Visiting address

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

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands

Research Initiatives

Latest publication

Article

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