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Research Article

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

Kaan Yaman, Gökhan Arslan( )
Department of Mechanical Engineering, Mersin University, 33343, Mersin, Turkey
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Abstract

The purpose of this study is to investigate the effect of solar radiation models on the determination of energy performance of a single-family house assisted with renewable energy system including photovoltaic panels and solar water heater. An Angström-Prescott type solar radiation model was compared with Zhang and Huang model derived based on hourly meteorological data of 12 locations in Turkey. Since regression coefficients of the Zhang and Huang model are valid for China, new regression coefficients were derived by using local meteorological data. A clear distinction could not be observed in simulated annual heating load intensity for each model since the average relative deviation of the models’ results was 2.5%. However, the average deviation was 12.5% for space cooling load intensity. Primary energy ratings (PER) and the renewable energy ratio (RER) were determined for each location. For total PER, the highest deviation was 4.6% and 3.3% for Mersin and Muğla, respectively. For the other locations, this parameter deviates between 0.02%–2.11%. The highest RER was 18.6% for Mersin.

Keywords

building energy simulationsolar radiation modelsrenewable energy ratioprimary energy ratingheating load intensitycooling load intensity

References

 
A Al-Anzi, D Seo, M Krarti (2008). Impact of solar model selection on building energy analysis for Kuwait. Journal of Solar Energy Engineering, 130(2): 021004.
Crossref Google Scholar
 
J Almorox, C Hontoria, M Benito (2011). Models for obtaining daily global solar radiation with measured air temperature data in Madrid (Spain). Applied Energy, 88: 1703–1709.
Crossref Google Scholar
 
C Becchio, P Dabbene, E Fabrizio, V Monetti, M Filippi (2015). Cost optimality assessment of a single family house: Building and technical systems solutions for the nZEB target. Energy and Buildings, 90: 173–187.
Crossref Google Scholar
 
NS Chukwujindu (2017). A comprehensive review of empirical models for estimating global solar radiation in Africa. Renewable and Sustainable Energy Reviews, 78: 955–995.
Crossref Google Scholar
 
DOE (2015). EnergyPlus Documentation Input and Output Reference Version 8.4. Washington: US Department of Energy.
 
DG Erbs, SA Klein, JA Duffie (1982). Estimation of the diffuse radiation fraction for hourly, daily and monthly-average global radiation. Solar Energy, 28: 293–302.
Crossref Google Scholar
 
JM Finkelstein, RE Schafer (1971). Improved goodness of fit tests. Biometrika, 58: 641–645.
Crossref Google Scholar
 
C Hachem, A Athienitis, P Fazio (2014). Energy performance enhancement in multistory residential buildings. Applied Energy, 116: 9–19.
Crossref Google Scholar
 
IJ Hall, RR Prairie, HE Anderson, EC Boes (1978). Generation of typical meteorological years for 26 SOLMET stations. Albuquerque: Sandia Lab Report.
 
GH Hargreaves, ZA Samani (1982). Estimating of potential evapotranspiration. Journal of the Irrigation and Drainage Division, 108(3): 223–230.
Crossref Google Scholar
 
VSKV Harish, A Kumar (2016). A review on modeling and simulation of building energy systems. Renewable and Sustainable Energy Reviews, 56: 1272–1292.
Google Scholar
 
YJ Huang, F Su, D Seo, M Krarti (2014). Development of 3012 IWEC2 weather files for international locations (RP-1477). ASHRAE Transactions, 120(1): 340–355.
Google Scholar
 
LA Hunt, L Kuchar, CJ Swanton (1998). Estimation of solar radiation for use in crop modelling. Agricultural and Forest Meteorology, 91: 293–300.
Google Scholar
 
HD Kambezidis, BE Psiloglou (2008). The meteorological radiation model (MRM): Advancements and applications. In: V Badescu (ed), Modeling Solar Radiation at the Earth’s Surface: Recent advances. Berlin: Springer. pp. 357–392.
 
HD Kambezidis, BE Psiloglou, D Karagiannis, UC Dumka, DG Kaskaoutis (2017). Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products. Renewable and Sustainable Energy Reviews, 74: 616–637.
Google Scholar
 
F Kasten, G Czeplak (1980). Solar and terrestrial radiation dependent on the amount and type of cloud. Solar Energy, 24: 177–189.
Google Scholar
 
A Kilic, A Ozturk (1983). Solar Energy Ankara: Kipas. (in Turkish)
 
KH Kim, JK Oh, W Jeong (2016). Study on solar radiation models in South Korea for improving office building energy performance analysis. Sustainability, 8: 589–603.
Google Scholar
 
M Krarti (2003). Overview of artificial intelligence-based methods for building energy systems. Journal of Solar Energy Engineering, 125: 331–342.
Google Scholar
 
J Kurnitski (2013). Technical definition for nearly zero energy buildings. REHVA European HVAC Journal, 2013(3): 22–28.
Google Scholar
 
Y Kwak, J-H Huh (2016). Development of a method of real-time building energy simulation for efficient predictive control. Energy Conversion and Management, 113: 220–229.
Google Scholar
 
MENR (2016). The Republic of Turkey, Ministry of Energy and Natural Resources. Available at http://www.eigm.gov.tr/t.-T-T-T. Accessed 08 Mar 16.
 
MENR (2017). The Republic of Turkey, Ministry of Energy and Natural Resources. Available at http://www.eie.gov.tr/MyCalculator/Default.aspx. Accessed 28 Jun 2017.
 
Meteonorm (2014), Global Database. Handbook Part I.
 
T Muneer, MS Gul, HD Kambezidis, S Allwinkle (1996). An all-sky solar meteorological radiation model for the UK. In: Proceedings of the Joint CIBSE/ASHRAE Conference, London, UK.
 
T Muneer, MS Gul, HD Kambezidis (1997). Evaluation of an all-sky meteorological radiation model against long-term measured hourly data. Energy Conversion and Management, 39: 303–317.
Google Scholar
 
NREL (2008). Users manual for TMY3 data sets, Typical Meteorological Years. Technical Report. Golden, CO, USA: National Renewable Energy Laboratory.
 
NREL (2017). National Renewable Energy Laboratory. Available at http://www.nrel.gov. Accessed 20 Feb 17.
 
R Perez, P Ineichen, R Seals, A Zelenka (1990). Making full use of the clearness index for parameterizing hourly insolation conditions. Solar Energy, 45: 111–114.
Google Scholar
 
RR Perez, P Ineichen, EL Maxwell, RD Seals, A Zelenka (1992). Dynamic global-to-direct irradiance conversion models. ASHRAE Transactions, 98(1): 354–369.
Google Scholar
 
T Ramesh, R Prakash, KK Shukla (2012). Life cycle approach in evaluating energy performance of residential buildings in Indian context. Energy and Buildings, 54: 259–265.
Google Scholar
 
SNL (2016). PV_LIB Toolbox for MatLab developed at Sandia National Laboratories. Available at https://pvpmc.sandia.gov/resources-for-members/pv_lib-toolbox. Accessed 08 Mar 2016.
 
SNL (2017). Sandia National Labs. Available at http://www.sandia.gov. Accessed 20 Feb 17.
 
D Seo, M Krarti (2007). Impact of solar models on building energy analysis for tropical sites. ASHRAE Transactions, 113(1): 523–530.
Google Scholar
 
SRCC (2017). Solar Rating and Certification Corporation. Available at http://www.solar-rating.org. Accessed 20 Feb 17.
 
D Thevenard, A Brunger (2002). Typical Weather Year for international locations. Final report for ASHRAE Research Project 1015-RP. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
 
Turkish Standards Institution(2013). TS825 Thermal Insulation Requirements for Building. Ankara, Turkish Standards Institution. (in Turkish)
 
Turkish Statistical Institute (2016). Turkish Standards Institution. Available at http://www.tuik.gov.tr/PreHaberBultenleri.do?id=1874. Accessed 08 Mar 16. (in Turkish)
 
GN Walton (1983). Thermal Analysis Research Program (TARP) Reference Manual. NBSSIR 83-2655. Washington, DC, USA: National Bureau of Standards.
 
KKW Wan, KL Cheung, D Liu, JC Lam (2009). Impact of modelled global solar radiation on simulated building heating and cooling loads. Energy Conversion and Management, 50: 662–667.
Google Scholar
 
L Wang, J Gwilliam, P Jones (2009). Case study of zero energy house design in UK. Energy and Buildings, 41: 1215–1222.
Google Scholar
 
T Watanabe, Y Urano, T Hayashi (1983). Procedures for separating direct and diffuse insolation on a horizontal surface and prediction of insolation on tilted surfaces. Transactions of Architectural Institute of Japan, 330: 96–108. (in Japanese)
Google Scholar
 
QY Zhang, YJ Huang (2002). Development of typical year weather files for chinese locations. ASHRAE Transactions, 108(2): 1063–1075.
Google Scholar
Building Simulation
Volume 11 Issue 3,
June 2018
Pages 483-495
DOI: 10.1007/s12273-017-0420-x
Cite this article:
Yaman K, Arslan G. The impact of hourly solar radiation model on building energy analysis in different climatic regions of Turkey. Building Simulation, 2018, 11(3): 483-495. https://doi.org/10.1007/s12273-017-0420-x

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Received: 13 March 2017
Revised: 07 July 2017
Accepted: 11 October 2017
Published: 10 November 2017
© Tsinghua University Press and Springer-Verlag GmbH Germany 2017
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