Open post-doc position on mathematical optimization in energy communities


The Group on Numerical Optimization and Modelling (GNOM) at the Universitat Politècnica de Catalunya - BarcelonaTech  (Barcelona, Spain), is looking for a postdoctoral research associate in mathematical optimization of energy systems to join the project Unified multi-market participation of energy communities in energy markets. This contract is scheduled to start in April 1st 2023 and will last until November 30st 2024, with a possible extension of one year. Applications will be accepted until March 15st, 2023.


  • Candidates should have a PhD in Operations Research,Mathematics, Computer Science, Electrical or a related discipline, with a strong mathematical optimization background.
  • Priority will be given to candidates with expertise in optimization models for energy systems and electricity markets, stochastic programming and algebraic modelling languages.
  • Expertise in mathematical optimization modelling languages and
  • Fluency in English and communication skills



OptiREC: Unified multi-market participation of energy communities in energy markets

 On January 2023 the project "Unified multi-market participation of energy communities in energy markets" (OptiREC) started. This is a coordinated project in collaboration with IREC, Universitat de Girona and Universidad Comillas, granted by the Agencia Estatal de Investigación within the call Proyectos de Transición Ecológica y Transición Digital 2021. This is a coordinated project in collaboration with the IREC, the Universitat de Girona and Universidad Comillas. The work to be done by the UPC is the development of a multi-stage stochastic programming model to optimize the bid of energy communities to the wholesale electricity market.

Unified multi-market participation of energy communities in energy markets (OptiREC)

Publication TypeFunded research projects
Year of Publication2022
AuthorsF.-Javier Heredia; Albert Solà Vilalta; Marlyn Dayana Cuadrado Guevara
Type of participationLeader
PartnersIREC, Universitat de Girona, Universidad Comillas.
Full time researchers2,5
Project codeTED2021-131365B-C44
Key Wordsresearch; TED2021-131365B-C44; energy communities; electricity markets; bilevel stochastic programming
AbstractThe general purpose of this subproject is to study the participation of energy communities in the multimarket structure of the wholesale electricity market in order to develop mathematical models and computational tools for the optimal bid to wholesale markets. From the point of view of the wholesale electricity market, all the complexity of the inner structure of energy communities (dispatchable and nondispatchable generation, storage, demand,) can be conceptually understood as a single virtual programming unit ( a Community Virtual Programming Unit, CVPU) that participate in the wholesale electricity multimarket structure (spot and ancillary-services markets). The final goal of this project is to develop a multi-stage stochastic-programming model for the Multimarket Optimal Bid of Energy Communities (MOBEC) problem that will be validated with real data from the Iberian Electricity Market (MIBEL). Conceptually speaking, energy communities are a complex energy system comprising dispatchable and non-dispatchable generation, energy storage systems and an own demand, that participate in the wholesale electricity market. Based on the experience of previous studies the extension of stochastic programming models to energy communities is a fairly natural and a sounded research methodology. First, the participation of energy communities in spot markets will be analysed. Spot markets (day and intraday) are the most important one in terms of the amount of energy traded. A CVPU will be defined allowing the energy community to submit bids to the single day ahead and to the multiple intraday markets, according to the MIBEL rules. Second, the participation of energy communities in ancillary services markets will be studied. Dispatchable generation units (thermal) together with storage devices and demand flexibility provide the energy community with reserve capabilities that can be bid to the secondary reserve market. The reserve of the CVPU will be defined, formulated and integrated in the (MOBEC) optimization model. The resulting model will be implemented and validated with real data from the real energy communities and the MIBEL. Multi-stage stochastic programming optimal bid models have been successfully developed so far for generation+storage units and will be extended in this project and adapted to the specific features of an energy community through a CVPU that participates in the wholesale electricity market as a single programming unit.
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