Optimal maintenance planning in building retrofitting with interacting energy effects

Optimal maintenance planning in building retrofitting with interacting energy effects
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具有相互作用能量效应的建筑改造中的最佳维护计划

DOI:
10.1002/oca.2593
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发表时间:
2020
影响因子:
1.8
通讯作者:
Lei Liu
Lei Liu
中科院分区:
计算机科学4区
文献类型:
--
作者:
Bo Wang;Xiaohua Xia;Zhongtao Cheng;Lei Liu

文献摘要

相似文献

本文扩展了建筑节能改造维修计划投资决策的控制系统框架。在当前的研究中,相互作用的能量和可靠性的影响,被忽略了以前的模型。建立了一组参数和决策变量相互作用的能量效率和种群衰减模型,得到了一个耦合非线性方程的状态空间模型。控制目标是在有限的时间段内,在有限的预算下,最大限度地节省能源和财务回报。针对该问题设计了模型预测控制器。通过实例研究验证了该方法的交互效果和有效性,并揭示了考虑交互的建模方法的改进。
This paper extends a control system framework for the maintenance planning investment decision for building energy retrofitting. The interacting energy and reliability effects that are ignored by previous models are incorporated in the current study. A set of energy efficiency and population decay models with interacting parameters and decision variables are established, and a state‐space model with coupled nonlinear equations is obtained. The control objectives are maximizing the energy savings and financial paybacks with limited budget during a finite time period. An model predictive control (MPC) controller is designed for the problem. The interacting effects and effectiveness of the proposed approach are verified by the case study, where improvements from the modeling considering interaction are revealed.