作者: Joakim Widén , Andreas Molin , Kajsa Ellegård
DOI: 10.1080/19401493.2010.532569
关键词:
摘要: Time-use data (TUD) have a large potential for improving occupancy and load modelling introducing realistic behavioural patterns into various simulations. In this article, previously developed models of occupancy, activities energy use based on TUD are extended described in general framework. Two extensions studied: deterministic conversion empirical is complete thermal model encompassing both end-uses Markov-chain approach generating synthetic sequences to include management. Three examples building-related applications presented: simulation indoor climate low-energy building, household electricity management response time-differentiated tariffs simulations matching net zero building. The main conclusion that the framework can generate detailed allow diversity correlati...