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Data analysis and energy modeling in smart and Zero-energy buildings and communities

Kampelis Nikolaos, Gobakis Konstantinos, Vagias Vagias, Kolokotsa Dionysia, Standardi Laura, Isidori Daniela, Cristalli Cristina, Montagnino Fabio Maria, Paredes Filippo, Muratore Pietro, Venezia Luca, Kyprianou Dracou Marina, Montenon, Alaric, Pyrgou Andri, Karlessi Theoni, Santamouris, Mat 1956-

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URI: http://purl.tuc.gr/dl/dias/93311E24-8685-451B-B045-FABA24A04300
Year 2022
Type of Item Book Chapter
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Bibliographic Citation N. Kampelis, K. Gobakis, V. Vagias, D. Kolokotsa, L. Standardi, D. Isidori, C. Cristalli, F. M. Montagnino, F. Paredes, P. Muratore, L. Venezia, M. Kyprianou Dracou, A. Montenon, A. Pyrgou, T. Karlessi, and M. Santamouris “Data analysis and energy modeling in smart and Zero-energy buildings and communities,” in Smart Zero‐energy Buildings and Communities for Smart Grids, Engineering, Energy and Architecture Set, Wiley, 2022, vol. 9, pp. 55-101, doi: 10.1002/9781119902201.ch3. https://doi.org/10.1002/9781119902201.ch3
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Summary

This chapter aims to calculate the energy signature of the Novel Technology Lab in Athalassa campus of Nicosia, to obtain the overall estimation of the consumption by starting from common measurements that are easily collected in a smart building, such as external and internal temperature. Energy model-based simulation is tool that allows us to model the building as system that is able to simulate dynamic thermal interactions between building and outdoor and indoor environments. The novel technologies laboratory: designed as a “green building”, using specific standards that permit it to be a near zero-energy building. Data exploration is the first step in data analysis and usually involves summarizing the key characteristics of a dataset. The chapter investigates, analyzes and optimizes the operational performance of a building used for research and educational purposes with the use of quasi-dynamic simulation.

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