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ES35_Intelligent Systems and Energy (SI+E)_Joseba Xabier Ostolaza


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Group description

The Multidisciplinary Research Group "Intelligent Systems and Energy (SI+E)" is oriented towards the industrial sector of Renewable Energies, in which the incorporation of modelling, estimation and automatic control techniques can provide the differentiating element for the development of an economy based on knowledge and innovation.

As a consequence of its belonging to the University of the Basque Country (UPV/EHU), the main mission of the group is to develop research oriented towards the business interests of the environment, with the aim of boosting the competitiveness of the companies involved, thus promoting the technological development of the country; and avoiding, to a certain extent, an excessive dependence on technology subject to the payment of international industrial property rights.

The group has a well-established line of research - backed by important results, both in terms of scientific publications and doctoral theses directed - called "Smart grids and renewable energy", aimed at the application of advanced control techniques - multi-objective optimisation tools, robust, adaptive, predictive, sliding mode control strategies, etc. - for the design and tuning of control systems for wind turbine-driven electrical generators and wind farms, as well as power converters that act as an interface between renewable energy and the grid. The aim is to contribute not only to significantly increase their functionality, reliability and efficiency, but also to improve the integration of wind and, in general, renewable generation units and plants into the electricity grid.

On the other hand, as a result of the leadership of its members in the University Master's Degree "Control in Smartgrids and Distributed Generation", the group proposes a second emerging line called "Energy management strategies for the self-consumption of photovoltaic energy in buildings", focused on the design of intelligent systems for the management of electrical energy produced by photovoltaic panels for shared or collective self-consumption in buildings. Thus, the aim is to address optimisation and its performance in flexible loads that allow the integration of photovoltaic energy at low cost, maximising its reliability and improving the energy balance of buildings.

The group is made up of researchers from three departments of the UPV/EHU: Systems Engineering and Automation, Electrical Engineering and Applied Mathematics; as well as a collaborating researcher from the Public University of Navarre.


  • Multi-objective optimisation
  • Collective self-consumption
  • Energy management systems
  • Consumption prediction in intelligent buildings
  • Photovoltaic production forecasting
  • Advanced and non-linear control
  • Wind power generation (DFIG and PMSG)
  • Multilevel power converters
  • Weak and faulty networks
  • Harmonic distortion

Team Description

  • Xabier Ostolaza Zamora (Principal Investigator)

    ORCID: 0000-0003-1732-2084

  • Gerardo Tapia Otaegui (Research staff)

    ORCID: 0000-0002-6224-9595

  • Haritza Camblong Ruiz (Research staff)

    ORCID: 0000-0001-8794-0190

  • Cristina Alcalde Valverde (Research staff)

    ORCID: 0000-0002-7888-8252

  • Itziar Zubia Olaskoaga (Research staff)

    ORCID: 0000-0002-3152-286X

  • Ana Susperregui Burguete (Research staff)

    ORCID: 0000-0002-0803-7049

  • Miren Itsaso Martínez Aguirre (Research staff)

    ORCID: 0000-0002-3286-6744


  • EKATE: Photovoltaic Electricity Management and Shared Self-consumption in the France-Spain cross-border area, using Blockchain technology and the Internet of Things (IoT).

    Pl: Haritza Camblong Ruiz

    Funding Agency*: EU

    Ongoing: yes

    Project reference: EFA312/19

  • Control avanzado del aerogenerador PMSG “full-converter” sometido a desequilibrios y distorsión armónica, y su asistencia a la regulación de frecuencia (WAFCON2)

    Pl: Gerardo Tapia Otaegui

    Funding Agency*: NAT

    Ongoing: no

    Project reference: DPI2015-64985-R

  • Madeehi: Coopération et innovation pédagogique : Eau-Energie-Habitat à Madagascar

    Pl: Haritza Camblong Ruiz

    Funding Agency*: EU

    Ongoing: no

    Project reference: 573764-EPP-1-2016-1-FR-EPPKA2-CBHE-JP

  • Sistema de almacenamiento avanzado para mejorar el funcionamiento de una microrred rural

    Pl: Haritza Camblong Ruiz

    Funding Agency*: RE

    Ongoing: no

    Project reference: S-PE12UN112

  • Energy Efficiency Management for Vehicles and Machines

    Pl: Haritza Camblong Ruiz

    Funding Agency*: EU

    Ongoing: no

    Project reference: Marie Curry. Grant Agreement 315967

* INT - International EU - European NAT - National RE - Regional


  • Herrera V, Milo A., Gaztañaga H., Ramos J., Camblong H., = Adaptive and non-adaptive Strategies for Optimal Energy Management and Sizing of a Dual Storage System in a Hybrid Electric Bus, EEE Transactions on Intelligent Transportation Systems, 2019

  • Zapirain I., Etxegarai G.,Hernández J.,Boussaada Z.,Aginako N.,Camblong H., = Short-term electricity consumption forecasting with NARX,LSTM, and SVR for a single building small data set approach., Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2022

  • Lucu M., Martinez-Laserna E., Gandiaga I., Camblong H., = A critical review on self-adaptive Li-ion battery ageing models, Journal of Power Sources, 2018

  • Camblong H., Baudoin S.,Vechiu I., Etxeberria A., = Design of a SOFC/GT/SCs hybrid power system to supply a rural isolated microgrid, Energy Conversion and Management, 2016

  • Camblong H., Sarr J., Niang A.T., Curea O., Alzola J.A., Sylla E.H., Santos M., = Microgrids Project, Part 1: Analysis of Rural Electrification With High Content of Renewable Energy Sources in Senegal, Renewable Energy, 2009

Research Lines



Digitalisation and decentralisation of the electricity grid, as well as self-consumption, have become key issues in the integration of renewable energies. In this respect, energy management systems (EMS) based on demand response (DR) in buildings with photovoltaic (PV) energy production play an important role. In the case of shared or collective self-consumption (CSC) in buildings, optimising and acting on flexible loads allows the integration of PV energy at low cost, with high reliability and improving the energy efficiency of the building.

The general objective of this line of research is the study and design of smart EMS for the CSC of electricity produced by PV panels in buildings. The objectives of EMS are diverse and can be contradictory. In this line of research, the following objectives are planned to be fully or partially addressed, depending on the application:

  • Maximisation of the self-consumption rate.
  • Minimisation of energy consumption.
  • Ensuring the thermal comfort of the building's users.
  • Maximisation of the useful life of the components on which action is to be taken - in particular heat pumps and electric vehicle (EV) batteries.
  • Obtaining the highest possible economic profitability for the installation.

Depending on these objectives, the EMS should act on the main flexible loads available in buildings:

  • Heating, ventilation and air-conditioning (HVAC) systems based on heat pump units.
  • EV chargers installed in underground garages or in car parks around buildings.
  • Electricity consumption of building users (lighting, charging of laptops, mobile phones, etc.) through awareness campaigns and communication systems.

In certain buildings, especially in residential buildings, domestic hot water generation systems and in particular their storage tanks also represent a considerable flexible inertia load. In these cases, the EMS could also act on them.

Depending on the characteristics of flexible loads, it may be appropriate for the EMS to be structured in two levels, just like EMS in microgrids:

  • Day-ahead: the objective of this stage is to predict when and with what intensity the next day would need to be consumed in order to achieve the above-mentioned objectives. To this end, the EMS will generate the setpoints related to the flexible loads for the 24 h of the following day. This step has several intermediate milestones:
  1. Prediction of the next day's electricity consumption of the building to be acted upon.
  2. Prediction of the next day's PV production.
  3. Update of the dynamic HVAC model, which includes the thermal behaviour of the building.
  4. Optimisation of the thermal energy consumption and EV load setpoints according to the EMS objectives mentioned above.
  • Intra-day: The objective of the intra-day EMS is to apply the setpoints generated the previous day and adjust them to cope with variations from the predictions made.

Depending on the type of flexible loads and, in general, the type of application, this two-level structure can be reduced to a single level. In any case, predictions, modelling of the flexible loads, design of optimisation algorithms and action on these loads are indispensable to achieve the objectives set for the EMS.

Within the general objective of the proposed line of research, the following specific objectives are envisaged:

  1. Development of a building energy production and consumption simulator. This simulation model has to include: the PV production; the consumption in the building, including that of the flexible loads considered (HVAC, EV load and eventually water heating); the technical characteristics of the flexible loads and their environment; the connection to the distribution network; and the way in which the EMS acts on these loads, so that the effect of the EMS on the electricity consumption of the building can be simulated.
  2. Development of predictive models for energy consumption and PV production in the building based on artificial intelligence (AI) and data. These will be trained with data from the above mentioned simulator and real measurement data (building consumption, PV production, meteorological data, etc.).
  3. Identification of control and optimisation models for flexible loads. They will be used for the optimisation of the EMS and the control of certain flexible loads.
  4. Optimisation of EMS and design of flexible load controllers. In particular, the aim is to control the thermal consumption (heating and cooling) of buildings using the model predictive control (MPC) technique.
  5. Development of strategies to raise awareness and influence the energy consumption habits of building users.
  6. Validation of the EMS developed in numerical simulations and in real systems.

Cross-border Collaboration (if any)

The collaboration between our group and the University of Bordeaux (UB) is considerable. 7 PhD theses have been conducted between members of the group and ESTIA/UB: Ionel Vechiu 2005, Said Nourdine 2012, Aitor Etxeberria 2012, Sylvain Baudoin 2015, Zina Boussaada 2018 and Samuel Jupin 2020.

In addition, 2 PhD in progress, that of Irati Zapirain (Contributions to a more local and digitalized electricity consumption (L&D)) and Garazi Etxegarai (Design and implementation of an intelligent energy management system for shared self-consumption of electricity in buildings; shared electricity consumption in buildings), are also being conducted together.

Several projects have also been carried out jointly: EOLO 2010-11 (Convenio CTP N°09012848), BLADED 2010-11 (Eusk-Aqu), RURALGRID 2012-13 (V/P-FM.CM-CP 11/2011-118 and -119), CAIDER 2012-13 (Eusk-Aqu). The Interreg Poctefa EKATE project on CSC under development applies EMS designed by our group to an ESTIA/UB building.

A PhD (Khouloud Salameh 2017) and a project (Promotion of UPV/-EHU/UPPA research projects, 2016) were also carried out in collaboration with UPPA.

In addition, the Euskadi-Aquitaine project "100% renewable island grids” (agreement nº2013/GR1/14) was carried out in collaboration with the Aquitan company Valorem.

In the coming months, we will participate in Horizon Europe and Interreg calls for projects to continue to collaborate on the theme of energy efficiency in intelligent buildings through the CSC.