Massimo Fiorentini

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Aarhus University

Denmark

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Professors in Energy Engineering

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Sociotechnological Breakthrough of Thermal Energy Storage - a new Approach of Constructive Technology Assessment (SOTES)

Open Date: 2021-09-01

Close Date: 2025-08-31

Articles (17)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (4)

Michael Dahl Knudsen

Aarhus University

DENMARK

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Luca Baldini

Professor / Co-head of Centre for Building Technologies and Processes

University of Zurich

SWITZERLAND

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Georgios Kokogiannakis

Senior Lecturer

University of Wollongong

AUSTRALIA

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Steffen Petersen

Aarhus University

DENMARK

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Massimo Fiorentini

Research Interests

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Recent Grants

Articles (17)

Energy flexibility quantification of the building’s thermal mass for radiator and floor heating systems

A heat-measurement-free strategy for Economic Model Predictive Control of hydronic radiators

Comparison of data-driven stochastic window operation models for residential buildings

Techno-economic optimization and feasibility of PCM-based seasonal thermal energy storage systems for district heating and cooling

Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation

Transferring energy signatures across space and time to assess their viability for rapid urban energy demand estimation

The potential of lake-source district heating and cooling for European buildings

The potential of lake-source district heating and cooling for European buildings

Climate change shifts the trade-off between lower cooling and higher heating demand from daylight saving time in office buildings

Climate change shifts the trade-of between lower cooling and higher heating demand from daylight saving time in office buildings

Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage

Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage

Heating and cooling European buildings with lakes?

Optimal sizing and operation of seasonal ice thermal storage systems

Probabilistic modelling of occupants’ thermostat preferences for residential building energy simulation and rating

Opportunities for passive cooling to mitigate the impact of climate change in Switzerland

Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management

Collaborators (4)

Michael Dahl Knudsen

Luca Baldini

Georgios Kokogiannakis

Steffen Petersen

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