TY - JOUR
T1 - Building Energy Simulation and Monitoring
T2 - A Review of Graphical Data Representation
AU - Vera-Piazzini, Ofelia
AU - Scarpa, Massimiliano
AU - Peron, Fabio
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2023/1
Y1 - 2023/1
N2 - 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.
AB - 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.
KW - building energy analysis
KW - building energy performance
KW - data visualization
KW - monitoring
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=85145652619&partnerID=8YFLogxK
U2 - 10.3390/en16010390
DO - 10.3390/en16010390
M3 - Artículo de revisión
AN - SCOPUS:85145652619
SN - 1996-1073
VL - 16
JO - Energies
JF - Energies
IS - 1
M1 - 390
ER -
