Energy Saving Opportunities through Glazing and Shading Alternatives

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Date

2022

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ARZU CILASUN
Süleyman İvgin

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Abstract

Windows are the weakest elements due to their high heat transfer coefficient and are responsible for 60% energy heat/gain loss. Healthcare buildings are one of the biggest consumers of energy due to continuous occupation hours and medical requirements providing comfortable conditions for people in need of care and staff, yet recently less attention was given to healthcare buildings due to their unique operational requirements and advanced medical equipment. Thus the main purpose of this study was to evaluate energy saving potentials of windows through glazing and shading alternatives over a case study. Within this study a single patient room in Izmir Turkey has been chosen as a case study and the room was simulated for sixteen scenarios generated by using four different glazing and shading systems. Each design scenario was simulated using DALEC for their lighting heating cooling and total energy consumption. Results showed that lighting energy consumption constitutes the highest energy demand (up to 52%) and high transmitting glazing usage can reduce lighting loads. Finally up to 16.3% energy saving is possible only by changing shading and glazing types. Though there is a great diversity of glazing and shading types this study’s outputs only reflect the selected four glazing and four shading system types that are offered by DALEC. Healthcare buildings spend a vast amount of energy to provide thermal and visual comfort for various user profiles. Considering the large number of patient rooms in healthcare facilities only careful consideration of glazing or shadings can significantly contribute to energy savings. This study focuses on shading and glazing alternatives as an energy-saving strategy. For simulation an underrecognized BES tool DALEC was hyped to show integrated thermal and visual energy consumption. The findings highlight that energy savings of up to 16.3% is possible.

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Mimarlık-Genel ve Dahili Tıp-Görüntüleme Bilimi ve Fotoğraf Teknolojisi-İnşaat Mühendisliği-Sağlık Politikaları ve Hizmetleri, healthcare buildings, HT165.5-169.9, energy consumption, Architecture, Glazing, shading, NA1-9428, City planning, DALEC

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Alhazzaa K. (2020). Energy Reduction Daylight and View Quality Assessment of a Passive Dynamic Facade in Hot Arid Climate. Iconarp International J. of Architecture and Planning 8(2) 518–544. https://doi.org/10.15320/iconarp.2020.125Alshayeb M. Mohamed H. & Chang J. D. (2015). Energy Analysis of Health Center Facilities in Saudi Arabia: Influence of Building Orientation Shading Devices and Roof Solar Reflectance. Procedia Engineering 118 827–832. https://doi.org/10.1016/j.proeng.2015.08.520Altomonte S. (2015). Daylight for Energy Savings and Psycho-Physiological Well- Being in Daylight for Energy Savings and Psycho-Physiological Well-Being in Sustainable Built Environments. February 2009. https://doi.org/10.5539/jsd.v1n3p3Baş H. & Kazanasmaz T. (2020). Hybrid-model simulations to equilibrate the energy demand and daylight autonomy as a function of window-to-wall ratio and orientation for a perimeter office in Izmir. MEGARON / Yıldız Technical University Faculty of Architecture E -Journal 15(4) 537–552. https://doi.org/10.14744/megaron.2020.42223Bawaneh K. Nezami F. G. Rasheduzzaman M. & Deken B. (2019). Energy consumption analysis and characterization of healthcare facilities in the United States. Energies 12(19). https://doi.org/10.3390/en12193775Bülow-hübe H. (2001). Energy-Efficient Window Systems in Buildings. Department of Construction and Architecture.Do C. T. & Chan Y. C. (2020). Evaluation of the effectiveness of a multi-sectional facade with Venetian blinds and roller shades with automated shading control strategies. Solar Energy 212(September) 241–257. https://doi.org/10.1016/j.solener.2020.11.003Dutta A. Samanta A. & Neogi S. (2017). Influence of orientation and the impact of external window shading on building thermal performance in tropical climate. Energy and Buildings 139 680–689. https://doi.org/10.1016/j.enbuild.2017.01.018Ebert O. Junghans B. Geisler-Moroder D. Pohl W. Werner M. & Pfluger R. (2018). Day and Artificial Light with Energy Calculation.Eisazadeh N. Allacker K. & De Troyer F. (2021). Integrated energy daylighting and visual comfort analysis of window systems in patient rooms. Science and Technology for the Built Environment 27(8) 1040–1055. https://doi.org/10.1080/23744731.2021.1912512Englezou M. & Michael A. (2020). Assessment of daylight performance and the impact of shading devices for typical in-patient rooms in healthcare facilities in Cyprus. Procedia Manufacturing 44 277–285. https://doi.org/10.1016/j.promfg.2020.02.232Fifield L. J. Lomas K. J. Giridharan R. & Allinson D. (2018). Hospital wards and modular construction: Summertime overheating and energy efficiency. Building and Environment 141(May) 28–44. https://doi.org/10.1016/j.buildenv.2018.05.041García-Sanz-Calcedo J. (2014). Analysis on energy efficiency in healthcare buildings. Journal of Healthcare Engineering 5(3) 361–374. https://doi.org/10.1260/2040-2295.5.3.361Gercek M. & Arsan Z. D. (2015). Impact of Thermal Mass Oriented Measures Over CO2 Emissions Of a Thermally Insulated Low-rise Apartment Building in Izmir Turkey. Iconarp International Journal of Architecture and Planning 2(2) 59–72.Ghosh A. & Neogi S. (2018). Effect of fenestration geometrical factors on building energy consumption and performance evaluation of a new external solar shading device in warm and humid climatic condition. Solar Energy 169(March 2017) 94–104. https://doi.org/10.1016/j.solener.2018.04.025Gomes M. G. Santos A. J. & Rodrigues A. M. (2014). Solar and visible optical properties of glazing systems with venetian blinds: Numerical experimental and blind control study. Building and Environment 71 47–59. https://doi.org/10.1016/j.buildenv.2013.09.003Gündoğdu E. & Cilasun Kunduraci A. (2019). Effect of Window Glazings’ Visible Transmittance to Daylight Factor and Energy Efficiency in An Architecture Studio. 7th International Conference on Embracing Capacity Building Opportunities in the Modern Day Dispensation 26(3) 1–4. https://doi.org/10.1007/s11273-020-09706- 3%0Ahttp://dx.doi.org/10.1016/j.jweia.2017.09.008%0Ahttps://doi.org/1 0.1016/j.energy.2020.117919%0Ahttps://doi.org/10.1016/j.coldregions.2 020.103116%0Ahttp://dx.doi.org/10.1016/j.jweia.2010.12.004%0Ahttp:// dx.doi.oHassouneh K. Alshboul A. & Al-Salaymeh A. (2010). Influence of windows on the energy balance of apartment buildings in Amman. Energy Conversion and Management 51(8) 1583–1591. https://doi.org/10.1016/j.enconman.2009.08.037Hauer M. De Michele G. Demanega I. Avesani S. P. D. (2019). Analysis of calculation approaches for complex fenestration systems. In FACEcamp. https://www.semanticscholar.org/paper/M4.1-Analysis-of-calculation- approaches-for-complex/17902bbe14a0ad78af17b6d50f88e0d6a0025695Huo H. Xu W. Li A. Chu J. & Lv Y. (2021). Sensitivity analysis and prediction of shading effect of external Venetian blind for nearly zero-energy buildings in China. Journal of Building Engineering 41 135907. https://doi.org/10.1016/j.jobe.2021.102401İnan T. (2013). An investigation on daylighting performance in educational institutions. Structural Survey 31(2) 121–138. https://doi.org/10.1108/02630801311317536Jelle B. P. Hynd A. Gustavsen A. Arasteh D. Goudey H. & Hart R. (2012). Fenestration of Today and Tomorrow : A State-of- the-Art Review and Future Opportunities. Solar Energy Materials and Solar Cells 96(October) 1–28.Ji R. & Qu S. (2019). Investigation and evaluation of energy consumption performance for hospital buildings in China. Sustainability (Switzerland) 11(6). https://doi.org/10.3390/su11061724Kazanasmaz T. (2013). Fuzzy logic model to classify effectiveness of daylighting in an office with a movable blind system. Building and Environment 69 22– 34. https://doi.org/10.1016/j.buildenv.2013.07.011Lei L. Chen W. Wu B. Chen C. & Liu W. (2021). A building energy consumption prediction model based on rough set theory and deep learning algorithms. Energy and Buildings 240 110886. https://doi.org/10.1016/j.enbuild.2021.110886Magni M. Ochs F. de Vries S. Maccarini A. & Sigg F. (2021). Detailed cross comparison of building energy simulation tools results using a reference office building as a case study. Energy and Buildings 250 111260. https://doi.org/10.1016/j.enbuild.2021.111260Miller J. Moser F. Stumpf J. P. & Pfluger R. (2020). REVIT2DALEC : A BIM2BEM COMBINED THERMAL AND DAY-AND ARTIFICIAL LIGHT ENERGY CALCULATION WITH DALEC USING THE MVD. BauSIM 2020 TU Graz October.Mohammad Yusoff W. F. (2021). Indoor Thermal Comfort in Modern Mosque of Tropical Climate. Iconarp International J. of Architecture and Planning 9(2) 720–741. https://doi.org/10.15320/iconarp.2021.178Özbalta T. G. Sezer A. & Yildiz Y. (2012). Models for prediction of daily mean indoor temperature and relative humidity: Education building in Izmir Turkey. Indoor and Built Environment 21(6) 772–781. https://doi.org/10.1177/1420326X11422163Raheem A. A. Issa R. R. A. & Olbina S. (2015). Energy and indoor comfort analysis of various window-shading assemblies INA hot and humid climate. Proceedings - Winter Simulation Conference 2015-Janua 3200–3211. https://doi.org/10.1109/WSC.2014.7020156Raji B. Tenpierik M. J. & van den Dobbelsteen A. (2015). An assessment of energy-saving solutions for the envelope design of high-rise buildings in temperate climates: A case study in the Netherlands. Energy and Buildings 124 210–221. https://doi.org/10.1016/j.enbuild.2015.10.049Sadek A. H. & Mahrous R. (2018). Adaptive glazing technologies: Balancing the benefits of outdoor views in healthcare environments. Solar Energy 174(September) 719–727. https://doi.org/10.1016/j.solener.2018.09.032Shahbazi Y. Heydari M. & Haghparast F. (2019). An early-stage design optimization for office buildings’ façade providing high-energy performance and daylight. Indoor and Built Environment 28(10) 1350–1367. https://doi.org/10.1177/1420326X19840761Sherif A. & Sabry H. (2014). Energy Efficient Hospital Patient Room Design : Effect of Room Shape on Window- to-Wall Ratio in a Desert Climate. 30th International Plea Conference December 2014.Stevanovi S. & Stevanović S. (2013). Optimization of passive solar design strategies : A review $. Renewable and Sustainable Energy Reviews 25 177– 196. https://doi.org/10.1016/j.rser.2013.04.028Vanhoutteghem L. & Svendsen S. (2014). Modern insulation requirements change the rules of architectural design in low-energy homes. Renewable Energy 72 301–310. https://doi.org/10.1016/j.renene.2014.07.005Wang T. Li X. Liao P. C. & Fang D. (2016). Building energy efficiency for public hospitals and healthcare facilities in China: Barriers and drivers. Energy 103 588–597. https://doi.org/10.1016/j.energy.2016.03.039Werner M. Geisler-Moroder D. Junghans B. Ebert O. & Feist W. (2017). DALEC–a novel web tool for integrated day- and artificial light and energy calculation. Journal of Building Performance Simulation 10(3) 344–363. https://doi.org/10.1080/19401493.2016.1259352Wu Z. (2011). Evaluation of a Sustainable Hospital Design Based on Its Social and (Issue May) [Cornell University]. http://iwsp.human.cornell.edu/files/2013/09/Ziqi-Wu-2011-19cxn60.pdfYildiz Y. Göksal Özbalta T. & Durmuş Arsan Z. (2011). Farklı Cam Türleri ve Yönlere Göre Pencere/Duvar Alanı Oranının Bina Enerji Performansına Etkisi: Eğitim Binası İzmir. Megaron 6 30–38. http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope= site&authtype=crawler&jrnl=13096915&AN=69832767&h=ZlUwcBJ7oWR TQJVqbVY7TTf6j5gWSMSHzRp8WYT9MqxHHYvrlqzM3LmTi3fTweL%2BG ZxF9E%2B1INE2S60cfXvaMg%3D%3D&crl=cYu X. & Su Y. (2015). Daylight availability assessment and its potential energy saving estimation –A literature review. Renewable and Sustainable Energy Reviews 52 494–503. https://doi.org/10.1016/j.rser.2015.07.142Zhang A. Bokel R. van den Dobbelsteen A. Sun Y. Huang Q. & Zhang Q. (2017). Optimization of thermal and daylight performance of school buildings based on a multi-objective genetic algorithm in the cold climate of China. Energy and Buildings 139 371–384. https://doi.org/10.1016/j.enbuild.2017.01.048

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