کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
262945 504054 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An improved lumped parameter method for building thermal modelling
ترجمه فارسی عنوان
یک روش پارامتر بهبود یافته برای ساخت مدل حرارتی
کلمات کلیدی
مدل سازی حرارتی پویا، واکنش ساختمان، مدلسازی پارامترهای توزیع شده، بهینه سازی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• An improved method for simplified thermal modelling of building elements is given.
• It offers greater rigour, flexibility and utility than a previously published method.
• The method has been tested using a reference model showing excellent agreement.
• 45 sample results are presented making it easy for the model to be used by others.
• The model is most suited for use in equation-based and modular modelling tools.

In this work an improved method for the simplified modelling of the thermal response of building elements has been developed based on a 5-parameter second-order lumped parameter model. Previous methods generate the parameters of these models either analytically or by using single objective function optimisation with respect to a reference model. The analytical methods can be complex and inflexible and the single objective function method lacks generality. In this work, a multiple objective function optimisation method is used with a reference model. Error functions are defined at both internal and external surfaces of the construction element whose model is to be fitted and the resistance and capacitance distributions are adjusted until the error functions reach a minimum. Parametric results for a wide range (45) of construction element types have been presented. Tests have been carried out using a range of both random and periodic excitations in weather and internal heat flux variables resulting in a comparison between the simplified model and the reference model. Results show that the simplified model provides an excellent approximation to the reference model whilst also providing a reduction in computational cost of at least 30%.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy and Buildings - Volume 79, August 2014, Pages 191–201
نویسندگان
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