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Multiple linear regression based model for solar collectors

机译:基于多元线性回归的太阳能集热器模型

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摘要

There is no doubt on the importance to investigate and develop solar thermal collectors within the framework of environmentally friendly technological heat production. Mathematical modelling is the theoretically established tool for this purpose. In this study, a new, validated, general and easy-to-apply multiple linear regression based (MLR-based) model is proposed for solar collectors. This MLR-based model is likely the simplest possible linear black-box type model, which can still describe the transient collector processes precisely. The proposed MLR-based model is proved to be more accurate than a physically-based collector model used successfully in many applications according to the literature. Based on the comparison of measured and simulated data of a real collector field, the validation and the efficiency of both models are demonstrated. The generality and simple applicability of the MLR-based model is also discussed along with future research proposals. (C) 2014 Elsevier Ltd. All rights reserved.
机译:毫无疑问,在环保的技术热量生产框架内研究和开发太阳能集热器的重要性。数学建模是为此目的而在理论上建立的工具。在这项研究中,提出了一种新的,经过验证的,通用且易于应用的基于多元线性回归(基于MLR)的模型,用于太阳能集热器。这种基于MLR的模型可能是最简单的线性黑匣子类型模型,它仍然可以精确地描述瞬态收集器过程。据文献证明,所提出的基于MLR的模型比在许多应用中成功使用的基于物理的收集器模型更准确。在比较实际采集器现场的测量数据和仿真数据的基础上,论证了两种模型的有效性和有效性。基于MLR的模型的一般性和简单适用性也与未来的研究建议一起进行了讨论。 (C)2014 Elsevier Ltd.保留所有权利。

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