Energy efficiency in buildings using MPC and LQI with Kalman filtering

I. Rădulescu, D. Stefanoiu
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Abstract

This article proposes a strategy for efficient heating in a building during winter season. The main objectives are to heat the building by combining non-renewable energy sources with renewable ones, to keep the indoor air temperature at a reference according to the hours of occupancy by using model predictive control and linear quadratic integral control with Kalman Filtering and to reduce the costs of non-renewable electric heating by taking into consideration the price of electricity which varies over 24h. The approach is simulated in MATLAB and the results are presented.
基于卡尔曼滤波的MPC和LQI的建筑能效研究
本文提出了一种冬季建筑高效供暖的策略。主要目标是通过将不可再生能源与可再生能源相结合来加热建筑物,通过模型预测控制和卡尔曼滤波的线性二次积分控制,根据使用时间将室内空气温度保持在参考温度,并考虑24小时内变化的电价,降低不可再生电采暖的成本。在MATLAB中对该方法进行了仿真,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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