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Massimo Fiorentini ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Yang, Tao / Worlitschek, Jörg / Fiorentini, Massimo (2024): Techno-economic optimization and feasibility of PCM-based seasonal thermal energy storage systems for district heating and cooling. In: Energy and Buildings, v. 324 (December 2024).

    https://doi.org/10.1016/j.enbuild.2024.114925

  2. Wickrama Achchige, Dilini / Fiorentini, Massimo / Kokogiannakis, Georgios / Chen, Dong (2024): Comparison of data-driven stochastic window operation models for residential buildings. In: Building and Environment, v. 261 (August 2024).

    https://doi.org/10.1016/j.buildenv.2024.111765

  3. Eggimann, Sven / Fiorentini, Massimo (2024): Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation. In: Energy and Buildings, v. 316 (August 2024).

    https://doi.org/10.1016/j.enbuild.2024.114348

  4. Vivian, Jacopo / Heer, Philipp / Fiorentini, Massimo (2023): Optimal sizing and operation of seasonal ice thermal storage systems. In: Energy and Buildings, v. 300 (December 2023).

    https://doi.org/10.1016/j.enbuild.2023.113633

  5. Wickrama Achchige, Dilini / Chen, Dong / Kokogiannakis, Georgios / Fiorentini, Massimo (2023): Probabilistic modelling of occupants’ thermostat preferences for residential building energy simulation and rating. In: Journal of Building Performance Simulation, v. 16, n. 4 (January 2023).

    https://doi.org/10.1080/19401493.2022.2147674

  6. Brandi, Silvio / Fiorentini, Massimo / Capozzoli, Alfonso (2022): Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management. In: Automation in Construction, v. 135 (March 2022).

    https://doi.org/10.1016/j.autcon.2022.104128

  7. Silva, Ricardo / Eggimann, Sven / Fierz, Léonie / Fiorentini, Massimo / Orehounig, Kristina / Baldini, Luca (2022): Opportunities for passive cooling to mitigate the impact of climate change in Switzerland. In: Building and Environment, v. 208 (January 2022).

    https://doi.org/10.1016/j.buildenv.2021.108574

  8. Isaia, Francesco / Fiorentini, Massimo / Serra, Valentina / Capozzoli, Alfonso (2021): Enhancing energy efficiency and comfort in buildings through model predictive control for dynamic façades with electrochromic glazing. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.102535

  9. Gomis, Laia Ledo / Fiorentini, Massimo / Daly, Daniel (2021): Potential and practical management of hybrid ventilation in buildings. In: Energy and Buildings, v. 231 (January 2021).

    https://doi.org/10.1016/j.enbuild.2020.110597

  10. Fiorentini, Massimo / Cooper, Paul / Ma, Zhenjun (2015): Development and optimization of an innovative HVAC system with integrated PVT and PCM thermal storage for a net-zero energy retrofitted house. In: Energy and Buildings, v. 94 (May 2015).

    https://doi.org/10.1016/j.enbuild.2015.02.018

  11. Psomas, Theofanis / Fiorentini, Massimo / Kokogiannakis, Georgios / Heiselberg, Per (2017): Ventilative cooling through automated window opening control systems to address thermal discomfort risk during the summer period: Framework, simulation and parametric analysis. In: Energy and Buildings, v. 153 (October 2017).

    https://doi.org/10.1016/j.enbuild.2017.07.088

  12. Fiorentini, Massimo / Gomis, Laia Ledo / Chen, Dong / Cooper, Paul (2020): On the impact of internal gains and comfort band on the effectiveness of building thermal zoning. In: Energy and Buildings, v. 225 (October 2020).

    https://doi.org/10.1016/j.enbuild.2020.110320

  13. Fiorentini, Massimo / Serale, Gianluca / Kokogiannakis, Georgios / Capozzoli, Alfonso / Cooper, Paul (2019): Development and evaluation of a comfort-oriented control strategy for thermal management of mixed-mode ventilated buildings. In: Energy and Buildings, v. 202 (November 2019).

    https://doi.org/10.1016/j.enbuild.2019.109347

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