The Effects of Window Film on the Performance of Window System

Window film is generally attached the glazing in buildings to improve the thermal performance of the window system by addressing a range of problems such as indoor temperature rise, indoor temperature imbalance, degraded heating and cooling load due to excessive influx of solar radiation. To evaluate the performance of window films, window films are attached to 3mm or 6mm clear glass. However, window films are generally used on existing window systems for reducing the annual energy consumption. Therefore it is necessary to evaluate the performance of window films depending on the performance of glazing such as clear double glazing or low-e double glazing. Thus the purpose of this study is to analyze the performance of window systems when window film is attached. As a result, in the case of applying window films for reducing the SHGC of buildings, it is necessary to select window films suitable for the configuration and performance of the glazing to be installed, considering the SHGC of the entire glazing system.

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A Study on the Analysis of Heating and Cooling Load through Applying Window Film Insulation

Journal of the Korean Solar Energy Society ◽

10.7836/kses.2013.33.6.047 ◽

2013 ◽

Vol 33 (6) ◽

pp. 47-53

Author(s):

Seok-Hyun Kim ◽

Young-Hum Cho

Keyword(s):

Cooling Load ◽

Heating And Cooling ◽

Window Film ◽

Heating And Cooling Load

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Heating and Cooling Load Characteristics Comparison between Normal Building and Low Energy Consumption Building

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.672-674.1855 ◽

2014 ◽

Vol 672-674 ◽

pp. 1855-1858

Author(s):

Yuan Su ◽

Fu Lin Wang ◽

Yue Fan

Keyword(s):

Energy Consumption ◽

Low Energy ◽

Cooling Load ◽

Heating And Cooling ◽

Low Energy Consumption ◽

Load Characteristics ◽

Heating And Cooling Load

In this research, a normal building and low energy consumption building were chosen to compare and analyze heating and cooling load characteristics. Firstly, the abstract of two buildings were carried out. Secondly, methodology of measurement and calculation was researched. At last the heating and cooling load of two buildings was examined using this methodology.

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Energy Audit and Analysis of an Institutional Building under Subtropical Climate

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v8i2.pp845-852 ◽

2018 ◽

Vol 8 (2) ◽

pp. 845 ◽

Cited By ~ 1

Author(s):

Yazed Yasin Ghadi ◽

Ali M. Baniyounes

Keyword(s):

Energy Consumption ◽

Energy Savings ◽

Environmental Parameters ◽

Subtropical Climate ◽

University Campus ◽

Energy Usage ◽

Climate Conditions ◽

Heating And Cooling ◽

And Performance ◽

Heating And Cooling Load

<p>Evaluation and estimation of energy consumption are essential in order to classify the amount of energy used and the way it is utilized in building. Hence, the possibility of any energy savings potential and energy savings opportunities can be identified. The intention of this article is to study and evaluate energy usage pattern of the Central Queensland University campus’ buildings, Queensland, Australia. This article presents the field survey results from the audit of an office building and performance-related measurements of the indoor environmental parameters, for instance, indoor air temperature, humidity and energy consumption concerned to the indoor heating and cooling load. Monthly observed energy usage information was employed to investigate influence of the climate conditions on energy usage.</p>

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Performance Evaluation of Two Machine Learning Techniques in Heating and Cooling Loads Forecasting of Residential Buildings

Applied Sciences ◽

10.3390/app10113829 ◽

2020 ◽

Vol 10 (11) ◽

pp. 3829 ◽

Cited By ~ 6

Author(s):

Arash Moradzadeh ◽

Amin Mansour-Saatloo ◽

Behnam Mohammadi-Ivatloo ◽

Amjad Anvari-Moghaddam

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Residential Buildings ◽

Load Forecasting ◽

Training Data ◽

Support Vector ◽

Cooling Load ◽

Heating And Cooling ◽

Cooling Loads ◽

Heating And Cooling Load

Nowadays, since energy management of buildings contributes to the operation cost, many efforts are made to optimize the energy consumption of buildings. In addition, the most consumed energy in the buildings is assigned to the indoor heating and cooling comforts. In this regard, this paper proposes a heating and cooling load forecasting methodology, which by taking this methodology into the account energy consumption of the buildings can be optimized. Multilayer perceptron (MLP) and support vector regression (SVR) for the heating and cooling load forecasting of residential buildings are employed. MLP and SVR are the applications of artificial neural networks and machine learning, respectively. These methods commonly are used for modeling and regression and produce a linear mapping between input and output variables. Proposed methods are taught using training data pertaining to the characteristics of each sample in the dataset. To apply the proposed methods, a simulated dataset will be used, in which the technical parameters of the building are used as input variables and heating and cooling loads are selected as output variables for each network. Finally, the simulation and numerical results illustrates the effectiveness of the proposed methodologies.

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Analysis of the Indoor Thermal Load Variations Depending on the Shading Device Parameters and Window Orientation

International Journal of Air-Conditioning and Refrigeration ◽

10.1142/s2010132515500236 ◽

2015 ◽

Vol 23 (03) ◽

pp. 1550023 ◽

Cited By ~ 1

Author(s):

Yeo Beom Yoon ◽

Rashmi Manandhar ◽

Kwang Ho Lee

Keyword(s):

Vertical Wall ◽

Building Performance ◽

Cooling Load ◽

Load Variations ◽

Heating And Cooling ◽

Window System ◽

Shading Devices ◽

Shading Device ◽

Cooling Loads ◽

Heating And Cooling Load

Many studies have been done to study the advantage of using window shading devices as a means of controlling solar penetration into the building. Shading devices like blinds have been proved to have a significant effect on the heating and cooling load of the building. As it is easier and less costly to change blinds than changing the window system in a building, using blinds is a very effective way of improving building performance. Although many studies have been done, mostly the study focuses on window that is oriented towards the south. As it is obvious that in a real building windows can be facing any direction, in this study the effect of blinds on heating and cooling loads of a building has been done, when the design of blind is either horizontal or vertical, when it is placed either inside or outside and when the slat angle automatically changes based on either solar energy received on vertical wall or on horizontal surface (roof).

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