PRELUDE’s publications

Giacomo Chiesa, Andrea Avignone and Tommaso Carluccio
Department of Architecture and Design, Politecnico di Torino, Italy

Smart building issues are critical for current energy and comfort managing aspects in built environments. Nevertheless, the diffusion of smart monitoring solutions via user-friendly graphical interfaces is still an ongoing issue subject to the need to diffuse a smart building culture and a low-cost series of solutions. This paper proposes a new low-cost IoT sensor network, exploiting Raspberry Pi and Arduino platforms, for collecting real-time data and evaluating specific thermal comfort indicators (PMV and PPD). The overall architecture was accordingly designed, including the hardware setup, the back-end and the Android user interface. Eventually, three distinct prototyping platforms were deployed for initial testing of the general system, and we analysed the obtained results for different building typologies and seasonal periods, based on collected data and users’ preferences. This work is part of a large educational and citizen science activity.
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Chapter under the Springer book Achieving Building Comfort by Natural Means.

PRELUDE-related publications

Authors: Daniel Leiria*, Hicham Johra, Anna Marszal-Pomianowska, Michal Zbigniew Pomianowski, Per Kvols Heiselber
Aalborg University, Department of the Built Environment, Denmark

In Europe, one of the most sustainable solutions to supply heat to buildings is district heating. It has good acceptance in the Northern countries, a low-carbon footprint, and can easily integrate intermittent renewable energy sources when coupled to the electrical grid. Even though district heating is seen as a vital element for a sustainable future, it requires extensive planning and long-term investments. To increase the understanding of the district heating network performance and the demand-side dynamics of the connected buildings, several countries, including Denmark, have installed smart heat meters in different cities. In that context, this paper presents several methodologies to analyze the datasets from the smart heat meters installed in a small Danish town. The first method is concerning data curation to remove the anomalies and missing data points. The second method analyses measured variables (heat consumption, outdoor temperature, wind speed, and global radiation) to acquire new knowledge on the building characteristics. These results were compared with the values given by the energy performance certificates of a smaller sample of 41 households. Finally, to communicate and visualize the analysis outputs in a user-friendly way, an interactive web interface tool has been created.

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Authors: Koskela J., Rautiainen A., Järventausta P.

Journal of Applied Energy, April 2019, p. 1175-1189

Authors: Koskela J., Mutanen A., Järventausta, P.

Energies, Vol13, Aug 2020

N. Dimitropoulos et al.,

2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA), 2021, pp. 1-6,

doi: 10.1109/IISA52424.2021.9555544.

Non-peer-reviewed publications

Zune M and Kolokotroni M (2022).

In CATE2022, RESILIENT COMFORT: Climate Change, COVID and Ventilation, 5th-6th September 2022, Edinburgh UK.