Abstract
Building Simulation Software tools support designers to analyse and identify certain users’ behavioural patterns; besides, they can predict future trends about the energy demand and consumption in buildings, as well as CO2 emissions, design analysis, energy efficiency, or lighting. These tools allow to collect and report information about such processes. However, understanding the results from simulations usually implies interpreting an extremely large amount of data or graphs, which can be a complex task. Therefore, there is a need of alternatives that ease this interpretation of results, hence complementing classic simulation tools. Under the widespread EN 15251 model criteria, this paper presents a novel technology to improve reporting tools of building simulation software by using linguistic description of data and timespan computational perceptions. A data-driven software architecture for automatically generating linguistic reports is here proposed, which provides designers with a better understanding of the data from building simulation tools. In order to show and explore the possibilities of this technology, a software application has been designed, implemented and evaluated by experts. The survey showed that usefulness and clarification were better evaluated than simplicity and time-saving for the three kinds of report, though always above 7 points out of 10, being most of p-values of contingency below 0.05.
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Acknowledgements
This work has been done in collaboration with the research group SOMOS (Software-Modelling-Science) funded by the Research Agency and Graduate School of Management of the University of the Bío-Bío. The authors belong to the Sustainable Architecture and Construction Research Group (GACS) at the University of the Bío-Bío and would like to acknowledge that this paper is part of the FONDECYT research project 3160806 “Study of the feasible energy improvement standard for social housing in fuel poverty by means of post occupational adaptive comfort assessment and its progressive implementation” funded by the Chilean National Commission for Research in Science and Technology. Clemente Rubio-Manzano is partially supported by the State Research Agency (AEI) and the European Regional Development Fund (FEDER) project TIN2016-76653-P.
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Pérez-Fargallo, A., Rubio-Manzano, C., Martínez-Rocamora, A. et al. Linguistic descriptions of thermal comfort data for buildings: Definition, implementation and evaluation. Build. Simul. 11, 1095–1108 (2018). https://doi.org/10.1007/s12273-018-0455-7
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DOI: https://doi.org/10.1007/s12273-018-0455-7