Models of domestic occupancy, activities and energy use based on time-use data: deterministic and stochastic approaches with application to various building-related simulations
Models of domestic occupancy, activities and energy use based on time-use data: deterministic and stochastic approaches with application to various building-related simulations
复制标题
基于时间使用数据的家庭占用、活动和能源使用模型：应用于各种建筑相关模拟的确定性和随机方法
DOI：
10.1080/19401493.2010.532569
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发表时间：
2012
影响因子：
2.5
通讯作者：
K. Ellegård
中科院分区：
文献类型：
--
作者：
J. Widén;A. Molin;K. Ellegård
时间使用数据（TUD）在改善占用率和负荷模型以及在各种模拟中引入现实的行为模式方面具有很大的潜力。在本文中，先前开发的基于TUD的占用、活动和能源使用模型被扩展和描述在一个一般框架中。本文研究了两个扩展：将经验TUD的确定性转换扩展为包含占用率和各种最终用途的完整热负荷模型；将生成综合TUD序列的马尔可夫链方法扩展为包括负荷管理模型。本文介绍了三个与建筑相关的应用实例：低能耗建筑室内气候模拟、分时电价下的家庭用电负荷管理以及净零能耗建筑负荷匹配模拟。主要结论是，扩展模型框架可以产生详细和现实的行为模式，从而考虑到最终用途之间的多样性和相关性。
Time-use data (TUD) have a large potential for improving occupancy and load modelling and for introducing realistic behavioural patterns into various simulations. In this article, previously developed models of occupancy, activities and energy use based on TUD are extended and described in a general framework. Two extensions are studied: deterministic conversion of empirical TUD is extended into a complete thermal load model encompassing both occupancy and various end-uses and a Markov-chain approach for generating synthetic TUD sequences is extended to include a model for load management. Three examples of building-related applications are presented: simulation of indoor climate in a low-energy building, household electricity load management in response to time-differentiated electricity tariffs and simulations of load matching in a net zero energy building. The main conclusion is that the extended model framework can generate detailed and realistic behavioural patterns that allow diversity and correlations between end-uses to be taken into account.