An Innovative, Hierarchical Energy Performance Data Visualization for Facilitating Recognition of Thermal Issues
Software programming allows for customisation of analysis and visualisation of simulated energy results. There are many powerful plugins developed for analysing building energy performance.
However, in some cases, the off-the-shelf plugins fall short in responding to user needs, especially when the project delivery has to be done within a short period, as this will correspondingly limit the manipulation of the codes or any other approach towards analysis or visualisationof non-standardised results.
The knowledge embedded in data can be observed more easily through appropriate visualisation. In the field of building thermal performance, successful visualisation not only speeds up the energy analysis process but also enhances data interpretation. Given that, an EPDV component was developed to respond to the particular needs of the first author during doctoral research.
SlowLoris can be web-based and is totally independent of all current energy data visualisation software and complementary energy plugins. It uses the Grasshopper interface and its components to construct graphs. It is mainly targeted at optimising the visual representation of energy results and does not need highly skilled experts to be used effectively.
Intelligent & Informed – Proceedings of the 24th CAADRIA Conference – Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 815-824, http://papers.cumincad.org/cgi-bin/works/paper/caadria2019_651