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Massimo Fiorentini ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  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 (Dezember 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 (Dezember 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 (Januar 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 (März 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 (Januar 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 (Januar 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 (Mai 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 (Oktober 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 (Oktober 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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