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.

中文翻译：

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具有相互作用的能效的建筑物翻新的最佳维护计划

本文扩展了用于建筑节能改造的维护计划投资决策的控制系统框架。本研究纳入了先前模型忽略的相互作用的能量和可靠性影响。建立了一组具有交互参数和决策变量的能效和人口衰减模型，并获得了具有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内以有限的预算最大化节能和财务回报。针对该问题设计了模型预测控制（MPC）控制器。案例研究验证了所提出方法的交互作用和有效性，其中揭示了考虑交互作用的建模方法的改进。