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首页> 外文期刊>Building and Environment >State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field
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State of the art review on model predictive control (MPC) in Heating Ventilation and Air-conditioning (HVAC) field

机译：加热通风和空调（HVAC）场中模型预测控制（MPC）的艺术综述。

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摘要

Building systems are subject of dynamic system that have a general feature of non-linearity and in turn, present us with different challenges for its optimized control of energy-saving and thermal comfort. Occupancy behavior, weather forecast, ambient temperature and solar irradiation, etc. In particular are difficult to predict. These uncertainty parameters have a direct influence on the building's behavior that further complicate problem formulation for energy saving in a building. Model predictive control (MPC) has been one of the potential strategies for control schemes to address these problems and tackle them since its invention. MPC is a suitable and the best candidate when it comes to questioning for future predictions in terms of energy efficiency, cost, and control mechanisms. MPC consists of model of a plant, prediction horizon and optimization tools used for the optimization of the future response of the plant. After broad applications of MPC in industrial applications for process control, it has been gaining ground in the field of Heating Ventilation and Air-conditioning (HVAC). Although there has been extensive research of MPC in HVAC systems of buildings, there lacks a detailed review, a complete structure that formulates and describes the applications. An overall holistic view of applications of MPC in building HVAC system has been provided in this paper. Broader information on modeling techniques and optimization algorithms are discussed in a detailed manner. Different design parameters such as prediction horizon, time step, cost function, etc., that ultimately affect MPC performance are presented in a comprehensive form. Various kinds of modeling software with their technical features, pros and cons are elaborated. The main goal of the current paper is to highlight important design parameters crucial for the MPC control scheme and provide better guidelines for further studies. Various future outlines have been listed that can be helpful for future work in this field.
机译：建筑系统是具有非线性的一般特征的动态系统的主体，而且反过来，我们凭借其优化的节能和热舒适性的挑战。占用行为，天气预报，环境温度和太阳照射等特别是难以预测。这些不确定性参数对建筑物的行为直接影响，进一步使建筑物节能的问题配方复杂化。模型预测控制（MPC）是控制方案的潜在策略之一，以解决这些问题并以来以自发明为单位。当涉及能源效率，成本和控制机制的未来预测时，MPC是一个合适的候选人。 MPC由植物，预测地平线和优化工具的模型组成，用于优化工厂的未来响应。经过广泛应用MPC在工业应用中的过程控制中，它在加热通风和空调（HVAC）领域一直在研磨。虽然对HVAC系统的MPC进行了广泛的研究，但缺乏详细审查，这是一种完整的结构，可以制定和描述应用程序。本文已经提供了MPC在建筑HVAC系统中的整体整体图。详细讨论有关建模技术和优化算法的更广泛的信息。最终影响MPC性能的不同设计参数，如预测地平线，时间步长，成本函数等，最终以全面的形式呈现。详细说明了各种建模软件，具有其技术特征，优缺点。本文的主要目标是突出重要的设计参数对MPC控制方案至关重要，并为进一步研究提供更好的准则。已经列出了各种未来的概述，这可能有助于对此领域的未来工作。

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