accim: a Python library for adaptive setpoint temperatures in building performance simulations

Abstract

Building performance simulations (BPS) can be used to estimate the energy required to deliver indoor environmental conditions acceptable for the occupants. Although the adaptive approach has been historically addressed only to naturally ventilated spaces, recent research has found that it could also be applied to air-conditioning spaces. Thus, it is possible to use setpoint temperatures based on adaptive comfort models as energy-saving measures. This study presents a seamless methodology based on the use of accim, an open-source software tool to automate the use of adaptive setpoint temperatures in building performance simulations. accim allows to use script-based workflows to perform all actions within the development of a simulation-based thermal comfort study. A case study is used to demonstrate the capabilities of accim. The results show that accim provides a wide range of new possibilities for developing studies related to the energy implications of adaptive thermal comfort.