Enhancing Energy Efficiency in Office Building Typologies in Temperate Zones Based on Dynamic Simulations
Abstract
:1. Introduction
2. Study Area
Temperature
3. Materials and Methods
3.1. Data Collection
3.2. Boundary Conditions
- The external environment, such as the temperate climate zone.
- The areas of T1, T2, and T3 are 220 m2, 400 m2, and 1050 m2, respectively.
- The number of floors is taken as five for each typology. Then, the middle (3rd) floor of height 3.4 m is simulated.
- All windows of the office buildings are assumed to be non-opened (as mentioned in the IDA ICE software settings).
- The indoor temperature is kept between 21 °C and 25 °C, according to ASHRAE 55 [27].
- Daylight in workplaces is provided at 500 lux, according to ASHRAE 55 [27].
3.3. Data Processing and Simulation
3.4. Formulating Possible Design Scenarios and Solutions
4. Results
4.1. Energy Consumption Analysis and Thermal Image
4.2. Impact of EVBs and EPS on Energy Performance in Office Buildings
4.3. Impact of EVBs and EPS on Thermal Comfort in Office Buildings
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
AHU | Air handling unit |
B0 | Detached building |
B1 | Building attached on one side |
B2 | Building attached on two sides |
B3 | Building attached on three sides |
CO2 | Carbon dioxide |
EPS | Expanded Polystyrene |
EVBs | External Venetian Blinds |
HVAC | Heating, ventilation, and air conditioning |
IDA ICE software | IDA Indoor Climate and Energy software |
M1 | Alucobond material |
M2 | Cement plaster material |
M3 | Styropor material |
M4 | Curtain wall material |
MSL | Mean sea level |
PCM | Phase change material |
T1 | Linear typology |
T2 | Concentric typology |
T3 | Courtyard typology |
U-value (thermal transmittance) | (W/m²·K)—where R is the thermal resistance of the material or assembly |
UTM | Universal Transverse Mercator |
WWR | Window-to-Wall Ratio |
References
- Wei, S.; Tien, P.W.; Calautit, J.K.; Wu, Y.; Boukhanouf, R. Vision-Based Detection and Prediction of Equipment Heat Gains in Commercial Office Buildings Using a Deep Learning Method. Appl. Energy 2020, 277, 115506. [Google Scholar] [CrossRef]
- Ramesh, T.; Prakash, R.; Shukla, K.K. Life Cycle Energy Analysis of Buildings: An Overview. Energy Build. 2010, 42, 1592–1600. [Google Scholar] [CrossRef]
- Bilgili, F.; Ozturk, I.; Kocak, E.; Kuskaya, S.; Cingoz, A. The Nexus between Access to Electricity and CO2 Damage in Asian Countries: The Evidence from Quantile Regression Models. Energy Build. 2022, 256, 111761. [Google Scholar] [CrossRef]
- Shaviv, E.; Yezioro, A.; Capeluto, I.G. Energy Code for Office Buildings in Israel. Renew. Energy 2008, 33, 99–104. [Google Scholar] [CrossRef]
- V. P. Wright World Energy Outlook; International Energy Agency: Paris, France, 2022; pp. 23–28.
- Koç, S.G.; Maçka Kalfa, S. The Effects of Shading Devices on Office Building Energy Performance in Mediterranean Climate Regions. J. Build. Eng. 2021, 44, 102653. [Google Scholar] [CrossRef]
- Klepeis, N.E.; Nelson, W.C.; Ott, W.R.; Robinson, J.P.; Tsang, A.M.; Switzer, P.; Behar, J.V.; Hern, S.C.; Engelmann, W.H. The National Human Activity Pattern Survey (NHAPS): A Resource for Assessing Exposure to Environmental Pollutants. J. Expo. Sci. Environ. Epidemiol. 2001, 11, 231–252. [Google Scholar] [CrossRef]
- d’Ambrosio Alfano, F.R.; Olesen, B.W.; Pepe, D.; Palella, B.I. Working with Different Building Energy Performance Tools: From Input Data to Energy and Indoor Temperature Predictions. Energies 2023, 16, 743. [Google Scholar] [CrossRef]
- Alnuaimi, A.; Natarajan, S.; Kershaw, T. The Comfort and Energy Impact of Overcooled Buildings in Warm Climates. Energy Build. 2022, 260, 111938. [Google Scholar] [CrossRef]
- Ascione, F.; Bianco, N.; Iovane, T.; Mastellone, M.; Mauro, G.M. The Evolution of Building Energy Retrofit via Double-Skin and Responsive Façades: A Review. Sol. Energy 2021, 224, 703–717. [Google Scholar] [CrossRef]
- Kuru, A.; Oldfield, P.; Bonser, S.; Fiorito, F. Biomimetic Adaptive Building Skins: Energy and Environmental Regulation in Buildings. Energy Build. 2019, 205, 109544. [Google Scholar] [CrossRef]
- Sultan Qurraie, B.; Arslan, B. Investigation of Thermal and Energy Performance of Double Skin Facades in Hot Climate Regions in Turkey. Comput. Res. Prog. Appl. Sci. Eng. 2022, 8, 1–14. [Google Scholar] [CrossRef]
- Fathalian, A.; Kargarsharifabad, H. Actual Validation of Energy Simulation and Investigation of Energy Management Strategies (Case Study: An Office Building in Semnan, Iran). Case Stud. Therm. Eng. 2018, 12, 510–516. [Google Scholar] [CrossRef]
- Al-Yasiri, Q.; Szabó, M. Phase Change Material Coupled Building Envelope for Thermal Comfort and Energy-Saving: Effect of Natural Night Ventilation under Hot Climate. J. Clean. Prod. 2022, 365, 132839. [Google Scholar] [CrossRef]
- Fattah, T.R.; Jalal, S.J.; Katona, T.J.; Baranyai, B. Bio-Curvilinear Shading Device for Cooling Load Reduction in Office Buildings Assessed by a Novel Energy Simulation Framework. Results Eng. 2024, 23, 102493. [Google Scholar] [CrossRef]
- Huo, H.; Xu, W.; Li, A.; Wu, J.; Guo, J. A Simple Evaluation Method of External Venetian Blind Shading Performance for Nearly Zero Energy Buildings. Renew. Energy 2023, 218, 119260. [Google Scholar] [CrossRef]
- Fedorczak-Cisak, M.; Nowak, K.; Furtak, M. Analysis of the Effect of Using External Venetian Blinds on the Thermal Comfort of Users of Highly Glazed Office Rooms in a Transition Season of Temperate Climate—Case Study. Energies 2019, 13, 81. [Google Scholar] [CrossRef]
- Bunning, M.E.; Crawford, R.H. Directionally Selective Shading Control in Maritime Sub-Tropical and Temperate Climates: Life Cycle Energy Implications for Office Buildings. Build. Environ. 2016, 104, 275–285. [Google Scholar] [CrossRef]
- Eskin, N.; Türkmen, H. Analysis of Annual Heating and Cooling Energy Requirements for Office Buildings in Different Climates in Turkey. Energy Build. 2008, 40, 763–773. [Google Scholar] [CrossRef]
- Rosti, B.; Omidvar, A.; Monghasemi, N. Optimal Insulation Thickness of Common Classic and Modern Exterior Walls in Different Climate Zones of Iran. J. Build. Eng. 2020, 27, 100954. [Google Scholar] [CrossRef]
- Batiha, M.A.; Marachli, A.A.; Rawadieh, S.E.; Altarawneh, I.S.; Al-Makhadmeh, L.A.; Batiha, M.M. A study on optimum insulation thickness of cold storage walls in all climate zones of Jordan. Case Stud. Therm. Eng. 2019, 15, 100538. [Google Scholar] [CrossRef]
- Meddage, D.P.P.; Chadee, A.; Jayasinghe, M.T.R.; Rathnayake, U. Exploring the Applicability of Expanded Polystyrene (EPS) Based Concrete Panels as Roof Slab Insulation in the Tropics. Case Stud. Constr. Mater. 2022, 17, e01361. [Google Scholar] [CrossRef]
- Baghoolizadeh, M.; Rostamzadeh-Renani, M.; Rostamzadeh-Renani, R.; Toghraie, D. Multi-Objective Optimization of Venetian Blinds in Office Buildings to Reduce Electricity Consumption and Improve Visual and Thermal Comfort by NSGA-II. Energy Build. 2023, 278, 112639. [Google Scholar] [CrossRef]
- Kottek, M.; Grieser, J.; Beck, C.; Rudolf, B.; Rubel, F. World Map of the Köppen-Geiger Climate Classification Updated. Meteorol. Z. 2006, 15, 259–263. [Google Scholar] [CrossRef]
- Knoema Knoema. Available online: https://knoema.com/atlas/Iraq (accessed on 14 December 2024).
- Metar & Taf Weather in Sulaymaniyah. Available online: https://metar-taf.com/climate/sulaymaniyah?utm_source=chatgpt.com (accessed on 11 February 2025).
- ANSI/ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy. Available online: https://www.ashrae.org/technical-resources/bookstore/standard-55-thermal-environmental-conditions-for-human-occupancy (accessed on 2 May 2024).
- Forlano, L. Posthumanism and Design. She Ji J. Des. Econ. Innov. 2017, 3, 16–29. [Google Scholar] [CrossRef]
- ASHRAE. ASHRAE Handbook—Fundamentals; ASHRAE: Atlanta, GA, USA, 2023. [Google Scholar]
- Kirimtat, A.; Krejcar, O.; Ekici, B.; Fatih Tasgetiren, M. Multi-Objective Energy and Daylight Optimization of Amorphous Shading Devices in Buildings. Sol. Energy 2019, 185, 100–111. [Google Scholar] [CrossRef]
- Nicoletti, F.; Kaliakatsos, D.; Parise, M. Optimizing the Control of Venetian Blinds with Artificial Neural Networks to Achieve Energy Savings and Visual Comfort. Energy Build. 2023, 294, 113279. [Google Scholar] [CrossRef]
- Khoukhi, M.; Hassan, A.; Abdelbaqi, S. The Impact of Employing Insulation with Variant Thermal Conductivity on the Thermal Performance of Buildings in the Extremely Hot Climate. Case Stud. Therm. Eng. 2019, 16, 100562. [Google Scholar] [CrossRef]
- Shi, J.; Zhao, L.; Zhang, Y.; Han, H.; Zhou, L.; Wang, C. Optimizing the Composition Design of Cement-Based Expanded-Polystyrene (EPS) Exterior Wall Based on Thermal Insulation and Flame Retardance. Polymers 2022, 14, 5229. [Google Scholar] [CrossRef]
- Azizian, M.; Tafreshi, S.N.M.; Darabi, N.J. Experimental Evaluation of an Expanded Polystyrene (EPS) Block-Geogrid System to Protect Buried Pipes. Soil Dyn. Earthq. Eng. 2020, 129, 105965. [Google Scholar] [CrossRef]
- Zhu, P.; Huckemann, V.; Fisch, M.N. The Optimum Thickness and Energy Saving Potential of External Wall Insulation in Different Climate Zones of China. Procedia Eng. 2011, 21, 608–616. [Google Scholar] [CrossRef]
- Hwang, R.-L.; Chen, W.-A. Creating Glazed Facades Performance Map Based on Energy and Thermal Comfort Perspective for Office Building Design Strategies in Asian Hot-Humid Climate Zone. Appl. Energy 2022, 311, 118689. [Google Scholar] [CrossRef]
Variables | Description | Prevalence |
---|---|---|
Typologies | Linear (T1), concentric (T2), and courtyard (T3). In contrast, the public sector chose the courtyard as it is detached and requires more space. | (T1), (T2), and (T3) were observed 266, 86, and 7 times, respectively, out of 359 total cases. |
Building types | Detached (B0), attached on one side (B1), attached on two sides (B2), and attached on three sides (B3). | (B3), (B2), (B1), and (B0) were observed 240, 106, 7, and 6 times, respectively, out of 359 total cases. |
Materials | Alucobond (M1), cement plaster (M2), Styropor (M3), curtain wall (M4), porcelain tile, cement board, brick, masonry, marble, and metal façade. | The four most used materials were selected: Alucobond (M1) at 147 frequencies, cement plaster (M2) at 85 frequencies, Styropor (M3) at 28 frequencies, brick at 9 frequencies, marble at 6 frequencies, porcelain at 24 frequencies, steel at 4 frequencies, stone at 7 frequencies, cement board at 21 frequencies, and curtain wall (M4) at 28 frequencies (out of 359). |
Cardinal directions | North, south, east, and west. | Most of the buildings were oriented perpendicular to the commercial street (or road) and followed the cardinal points. |
Number of floors | Ranged between 2 and 11 floors. | Three floors were chosen for the number of floors, based on the frequencies as follows: three floors at 124 (out of 359), four floors at 68 frequencies, and five floors at 66 frequencies (out of 359). |
Typologies | Window-to-Wall Ratio (WWR) | Material | U-Value | Total Energy (kWh/m2) | Heating Energy (kWh/m2) | Cooling Energy (kWh/m2) | Cooling Reduction (%) | |
---|---|---|---|---|---|---|---|---|
Scenarios | T1 | 0.5 | Cement plaster | 2.3 | 257 | 211 | 52 | 0 |
T2 | 221 | 192 | 31 | 0 | ||||
T3 | 150 | 84 | 45 | 0 | ||||
Scenario + EVBs | T1 | 0.5 | Cement plaster | 2.3 | 284 | 211 | 32 | 38 |
T2 | 260 | 192 | 24 | 23 | ||||
T3 | 153 | 84 | 35 | 22 |
Typologies | WWR | Material | U-Value | Total Energy (kWh/m2) | Heating Energy (kWh/m2) | Cooling Energy (kWh/m2) | Heating Reduction (%) | |
---|---|---|---|---|---|---|---|---|
Scenarios | T1 | 0.5 | Cement plaster | 2.3 | 257 | 164 | 52 | 0 |
T2 | 221 | 147 | 31 | 0 | ||||
T3 | 150 | 70 | 45 | 0 | ||||
Scenarios + EPS | T1 | 0.5 | Cement plaster | 0.7 | 180 | 91 | 49 | 45 |
T2 | 141 | 71 | 27 | 51 | ||||
T3 | 115 | 33 | 47 | 52 |
Scenario | Cooling Energy (kWh/m2) | Heating Energy (kWh/m2) | Total Energy (kWh/m2) | Total Energy Reduction (%) |
---|---|---|---|---|
T1 | 52 | 164 | 257 | |
T1 + (EVBs + EPS) | 25.2 | 131.3 | 197 | 23 |
T2 | 31 | 147 | 221 | |
T2 + (EVBs + EPS) | 18.8 | 91 | 154.2 | 30 |
T3 | 45 | 70 | 150 | |
T3 + (EVBs + EPS) | 34.7 | 43.7 | 112.8 | 25 |
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Fattah, T.R.; Katona, T.J.; Bachmann, B.; Baranyai, B. Enhancing Energy Efficiency in Office Building Typologies in Temperate Zones Based on Dynamic Simulations. Energies 2025, 18, 1414. https://doi.org/10.3390/en18061414
Fattah TR, Katona TJ, Bachmann B, Baranyai B. Enhancing Energy Efficiency in Office Building Typologies in Temperate Zones Based on Dynamic Simulations. Energies. 2025; 18(6):1414. https://doi.org/10.3390/en18061414
Chicago/Turabian StyleFattah, Twana Rasool, Tamás János Katona, Bálint Bachmann, and Bálint Baranyai. 2025. "Enhancing Energy Efficiency in Office Building Typologies in Temperate Zones Based on Dynamic Simulations" Energies 18, no. 6: 1414. https://doi.org/10.3390/en18061414
APA StyleFattah, T. R., Katona, T. J., Bachmann, B., & Baranyai, B. (2025). Enhancing Energy Efficiency in Office Building Typologies in Temperate Zones Based on Dynamic Simulations. Energies, 18(6), 1414. https://doi.org/10.3390/en18061414