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Deliverables

• D1.1 Data Management Plan (confidential)

Deliverables

• D2.1 Database including data gathered during the measurement campaign
• D2.2 Assessment of the indoor air quality, thermal comfort, and ventilation of Spanish educational buildings

Other papers published in indexed journals and conferences

• Miao S., Gangolells M., Tejedor B. Data-driven model for predicting indoor air quality and thermal comfort levels in naturally ventilated educational buildings using easily accessible data for schools. Journal of Building Engineering, 2023, 80: 108001:1 – 108001:22 <https://doi.org/10.1016/j.jobe.2023.108001>.
• Miao S., Gangolells M., Tejedor B. Improving the thermal comfort model for students in naturally ventilated schools: insights from a holistic study in the Mediterranean climate. Building and Environment, 2024, 258:111622, < http://dx.doi.org/10.1016/j.buildenv.2024.111622>.
• Miao S., Gangolells M., Tejedor B., Pujadas P., Indoor air quality, thermal comfort and energy consumption tradeoff for educational buildings. Proceedings of the 26th International Congress on Project Management and Engineering, 2022, <http://dspace.aeipro.com/xmlui/bitstream/handle/123456789/3141/AT02-010_22.pdf?sequence=1>.
• Gaspar K., Gangolells M., Casals M., Ferré-Bigorra J., Pujadas P., Optimal ventilation strategies for balancing indoor air quality, comfort and energy use in educational buildings. the IAQ4EDU project. European Conference on Computing in Construction, 2022, <https://ec-3.org/publications/conference/paper/?id=EC32022_151>.

Deliverables

• D3.1 Characterization of ventilation strategies in educational buildings

Other papers published in indexed journals and conferences

• López-Carreño R.-D., Pujadas P., Pardo-Bosch F. Optimizing Ventilation Systems in Barcelona Schools: An AHP-Based Assessment for Improved Indoor Air Quality and Comfort. Applied Sciences, 2024, <https://www.mdpi.com/2076-3417/14/23/11138>.

Deliverables

• D4.1 Reduced order models for building ventilation

• D4.2 Operation guide to adopt optimal natural ventilation strategies in educational buildings (pending)
• D4.3 Optimization of ventilation system operation in educational buildings using reduced order models

• D4.4 Metodología para estimar la flexibilidad energética potencial de un sistema de ventilación de edificios durante la fase de diseño (pendiente)

Other papers published in indexed journals and conferences

• Barbero M., Canals Casals L, Colet-Subirachs A., Salom J., Corchero C. Demand response approaches in a research project versus a real business. Energy and Buildings. Sustainable Energy, Grids and Networks, Volume 35, 2023, 101090, ISSN 2352-4677, <https://doi.org/10.1016/j.segan.2023.101090>.
• Tarragona J., Gangolells M., Casals M. Model predictive control for managing indoor air quality levels in buildings. Energy Reports, Volume 12, 2024, 787-797, ISSN 2352-4847 <https://doi.org/10.1016/j.egyr.2024.06.053>.
• Maiques, M., Tarragona, J., Gangolells, M., & Casals, M. (2024). Energy implications of meeting indoor air quality and thermal comfort standards in Mediterranean schools using natural and mechanical ventilation strategies. Energy & Buildings, 258, 115076 <https://doi.org/10.1016/j.enbuild.2024.115076>.
• Tugores J., Macarulla, M., Gangolells M., Casals, M., Modelling indoor air quality in schools using grey box models. Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference <https://ec-3.org/publications/conference/paper/?id=EC32023_167>.

Deliverables

• D5.1 HVAC-oriented overall risk score to optimize the HVAC system in an educational environment (pending)
• D5.2 Open access database of the experts' surveys (pending)
• D5.3 Sustainable and resilience-oriented management framework for the prioritization of HVAC investments: application to a Spanish educational environment (pending)

Other papers published in indexed journals and conferences

• Boix-Cots D., Pardo-Bosch F., Blanco A., Aguado A., Pujadas P. A systematic review on MIVES: a sustainability-oriented multi-criteria decision-making method. Building and Environment, 2022, 223: 109515:1 – 109515:11 <https://doi.org/10.1016/j.buildenv.2022.109515>.
• Gaspar K., Gangolells M., Casals M., Pujadas P., Forcada N., Macarulla M., Tejedor B. Assessing the impact of the COVID-19 lockdown on the energy consumption of university buildings. Energy and Buildings, 2022, 257: 111783:1 – 111783:12 <https://doi.org/10.1016/j.enbuild.2021.111783>.
• Boix-Cots D., Pardo-Bosch F., Pujadas P. A systematic review on multi-criteria group decision-making methods based on weights: analysis and classification scheme. Information Fusion, 2023, 96: 16-36 <https://doi.org/10.1016/j.inffus.2023.03.004>.
• Boix-Cots D., Pardo-Bosch F., Pujadas P. A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems. Expert Systems with Applications, 2023, 216: 119471:1- 119471:13 <https://doi.org/10.1016/j.eswa.2022.119471>.

Deliverables

• D6.1 Initial dissemination and internationalization plan (confidential)
• D6.2 Project website
• D6.3 Update of the dissemination and internationalization plan (confidential)
• D6.4 Report on dissemination activities of the project (pending)