The impact of hourly solar radiation model on building energy analysis in different climatic regions of Turkey

ABSTRACTBefore 2008, it was common knowledge around the world that insulation always saved air conditioning energy in buildings. In 2008 a phenomenon called anti-insulation was brought to light by Masoso & Grobler. They demonstrated that there are instances when insulation materials in a building directly increase building energy use. Researchers around the world then echoed the message. Recent work by some of the authors investigated the anti-insulation phenomenon in summer and winter for both hot climatic regions (Botswana) and cold climatic regions (Canada). Their study concluded that there is still a mystery of exaggerated sources of heat inside the building aggravating the anti-insulation phenomenon. They hypothesized that incident solar radiation through the windows could be one of the causes. This paper therefore focuses on eliminating direct solar radiation through windows by applying external shadings on a previously anti-insulation building. The energy saved is evaluated and the possible reversal of anti-insulation studied. The study is useful to energy policy makers and the building industry as it showcases the existence of a possible silent killer (anti-insulation) and demonstrates that investing large sums of money on insulation in buildings may not be the most economic thing to do in building design decisions.

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The Analysis of Measurement and Model of Solar Radiation in Hohhot

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.512-515.190 ◽

2012 ◽

Vol 512-515 ◽

pp. 190-193

Author(s):

Zhi Min Wang ◽

Ya Hui Wang ◽

Rui Tian ◽

Jing Jing Wang

Keyword(s):

Energy Efficiency ◽

Solar Radiation ◽

Building Energy ◽

Testing System ◽

Building Energy Efficiency ◽

The Sun ◽

Radiation Model ◽

Clear Sky ◽

Radiation Testing ◽

Solar Radiation Model

The data of four sets of the sun radiation testing system in Hohhot was processed by the method of standard deviation to get the highest relative accuracy as a model with data. By comparing the measuring value with the calculating value of clear-sky solar radiation model established, it is found the model is only fit for the sunny day, moreover the lager percentage of sunshine is, the model is more appropriate. This model can meet the practical needs of general engineering and also can be used in the analysis of building energy efficiency

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The impact of occupants’ behaviours on building energy analysis: A research review

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.05.264 ◽

2017 ◽

Vol 80 ◽

pp. 1061-1071 ◽

Cited By ~ 138

Author(s):

Elham Delzendeh ◽

Song Wu ◽

Angela Lee ◽

Ying Zhou

Keyword(s):

Energy Analysis ◽

Building Energy ◽

Research Review ◽

Building Energy Analysis ◽

The Impact

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Impact of Solar Model Selection on Building Energy Analysis for Kuwait

Solar Energy ◽

10.1115/isec2006-99136 ◽

2006 ◽

Author(s):

Adnan Al-Anzi ◽

Donghyun Seo ◽

Moncef Krarti

Keyword(s):

Model Selection ◽

Solar Radiation ◽

Energy Analysis ◽

Simulation Analysis ◽

Building Energy ◽

Weather Data ◽

Solar Model ◽

Climatic Data ◽

Diffuse Solar Radiation ◽

The Impact

This paper summarizes the results of a comparative analysis for four models utilized to predict solar radiation in Kuwait City, Kuwait. The four models include the Kasten model, Zhang and Huang model, Muneer model, and neural network based model. The analysis was based on hourly measured solar data for Kuwait City. The measured hourly solar radiation data are obtained for the year 1994 and include global, direct, and diffuse solar radiation. Non-solar weather data for the same year and site are obtained from the US National Climatic Data Center (NCDC). Weather files suitable for building energy simulation are developed using measured data as well as predictions from the four solar models. A series of simulation analysis to determine the impact of solar model selection for the weather file on the energy use predictions from a whole-building simulation program using office buildings in Kuwait. The results of the validation analysis and the simulation evalaution indicate that Zhang and Huang model is suitable for the predicting hourly solar radiation suitable for energy analysis of buildings in Kuwait.

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Impact of Solar Model Selection on Building Energy Analysis for Kuwait

Journal of Solar Energy Engineering ◽

10.1115/1.2844410 ◽

2008 ◽

Vol 130 (2) ◽

Cited By ~ 2

Author(s):

Adnan Al-Anzi ◽

Donghyun Seo ◽

Moncef Krarti

Keyword(s):

Model Selection ◽

Solar Radiation ◽

Energy Analysis ◽

Simulation Analysis ◽

Building Energy ◽

Weather Data ◽

Solar Model ◽

Climatic Data ◽

National Climatic Data Center ◽

The Impact

This paper summarizes the results of a comparative analysis for four models utilized to predict solar radiation in Kuwait City, Kuwait. The four models include the Kasten model, Zhang and Huang model, Muneer model, and neural network based model. The analysis was based on hourly measured solar data for Kuwait City. The measured hourly solar radiation data are obtained for the year 1994 and include global, direct, and diffuse solar radiations. Nonsolar weather data for the same year and site are obtained from the US National Climatic Data Center (NCDC). Weather files suitable for building energy simulation are developed using measuered data as well as predictions from the four solar models. A series of simulation analysis to determine the impact of solar model selection for the weather file on the energy uses predictions from a whole-building simulation program using office buildings in Kuwait. The results of the validation analysis and the simulation evaluation indicate that Zhang and Huang model is suitable for the predicting hourly solar radiation suitable for energy analysis of buildings in Kuwait.

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