A New Tool for Building Energy Optimization: First Round of Successful Dynamic Model Simulations

Giacomo Chiesa, Francesca Fasano and Paolo Grasso
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Giacomo Chiesa: Department of Architecture and Design, Politecnico di Torino, Viale PierAndrea Mattioli 39, 10125 Turin, Italy
Francesca Fasano: Department of Architecture and Design, Politecnico di Torino, Viale PierAndrea Mattioli 39, 10125 Turin, Italy
Paolo Grasso: Department of Architecture and Design, Politecnico di Torino, Viale PierAndrea Mattioli 39, 10125 Turin, Italy

Energies, 2021, vol. 14, issue 19, 1-20

Abstract: Several tools and pieces of software support building energy modelling for optimization, certification and comparisons of different scenarios and usages. Nevertheless, the consistent rise in accessible computational power and the expansion of ICT are pushing the development of new software functionalities and tools able to support cross-disciplinary work on smart building optimization. This paper introduces a new platform (under development) that combines the EnergyPlus dynamic simulation tool with extra-functionalities and pre-defined usage scenarios based on automatic actions to manage massive simulations and correlation analyses. The tool’s utility was tested in three experiments, with goals that we consider to be fundamental requirements: comparing simple retrofit actions to reduce net energy needs; analyzing the free-running potential of a demo building and the impacts of different low-energy technologies in terms of increasing thermal comfort (shading and ventilative cooling); and comparing measured sensor data indicators with simulated ones under real weather conditions for model verification. The results demonstrate the ability of the tool to automatically generate hundreds of EnergyPlus input building models by acting on building geometry; we focused on the most common uses for parametric dynamic simulations. Additionally, the way in which the tool combines the automatic modification of the building’s design and the parallel launching of multiple simulations allows the labor to be reduced. The user can execute complex tasks without spending any time working with model editing software and aggregating the results from multiple simulations.

Keywords: dynamic building simulation; energy modelling; EnergyPlus; idf coding; epw compiler; building design optimization; sensitivity analyses; python tool; cross-disciplinary platform (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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