DELORES - an open-source tool for stochastic prediction of occupant services demand

作者：Rysanek Adam Martin^*; Choudhary Ruchi

来源：Journal of Building Performance Simulation, 2015, 8(2): 97-118.

DOI：10.1080/19401493.2014.888595

• stochastic simulation
• occupancy prediction
• energy services
• lighting
• internal gains

This paper provides a detailed technical description of DEmand LOad REconStructor (DELORES), a new, open-source modelling tool for stochastic simulation of occupant services demand in buildings. By services, one means usually: illumination, sustenance (by way of food preparation), communication (by way of information technology services), and thermal comfort. In the building simulation environment, however, these services are commonly represented through annual transient profiles of internal heat gains, electricity loads, and set point temperatures. The intended capability of DELORES is to stochastically generate such profiles for use in common building energy models, such as TRNSYS and EnergyPlus, and do so whilst presenting users with a straight-forward, easy-to-use interface. By furthering the dissemination of this tool in the public domain, and encouraging it is future development, it is hoped that multidisciplinary research related to stochastic occupant behaviour and energy demand will become an easier task.

• 出版日期2015-3