Building Energy Simulation and Monitoring: A Review of Graphical Data Representation

Ofelia Vera-Piazzini, Massimiliano Scarpa and Fabio Peron ()
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Ofelia Vera-Piazzini: Laboratory of Building Physics, Università Iuav di Venezia, Via Torino, 153/A, 30172 Venezia, Italy
Massimiliano Scarpa: Department of Architecture and Arts, Università Iuav di Venezia, Dorsoduro 2206, 30123 Venezia, Italy
Fabio Peron: Laboratory of Building Physics, Università Iuav di Venezia, Via Torino, 153/A, 30172 Venezia, Italy

Energies, 2022, vol. 16, issue 1, 1-26

Abstract: Data visualization has become relevant in the framework of the evolution of big data analysis. Being able to understand data collected in a dynamic, interactive, and personalized way allows for better decisions to be made when optimizing and improving performance. Although its importance is known, there is a gap in the research regarding its design, choice criteria, and uses in the field of building energy consumption. Therefore, this review discusses the state-of-the-art of visualization techniques used in the field of energy performance, in particular by considering two types of building analysis: simulation and monitoring. Likewise, data visualizations are categorized according to goals, level of detail and target users. Visualization tools published in the scientific literature, as well as those currently used in the IoT platforms and visualization software, were analyzed. This overview can be used as a starting point when choosing the most efficient data visualization for a specific type of building energy analysis.

Keywords: building energy analysis; building energy performance; data visualization; simulation; monitoring (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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