IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v311y2024ics0360544224030834.html
   My bibliography  Save this article

Optimizing energy efficiency through building orientation and building information modelling (BIM) in diverse terrains: A case study in Pakistan

Author

Listed:
  • Khan, Abdul Mateen
  • Tariq, Muhammad Abubakar
  • Alam, Zeshan
  • Alaloul, Wesam Salah
  • Waqar, Ahsan

Abstract

Building orientation plays a key role in enhancing the built environment's energy efficiency through the application of Building Information Modelling (BIM) and energy simulation. Due to their significant global energy consumption, buildings are the focus of energy optimization efforts. This study explores how building orientation, when combined with modern methods like BIM and energy modelling, affects energy usage and savings throughout Pakistan's numerous geographic terrains. The methodology is quantitative, beginning with an extensive review of literature on energy analysis, BIM applications, and urban building energy modelling. Autodesk Insight 360 is employed for energy simulations, which enables the precise prediction of energy consumption by considering various factors such as building orientation, window-to-wall ratios, shading, wall and roof construction, infiltration rates, lighting efficiency, occupancy controls, plug load efficiency, and HVAC systems. Energy simulation of the data indicates that optimizing building orientation alone can result in an average energy savings of 18 %, while combining orientation optimization with improvements in window arrangements and construction materials can achieve savings of up to 30 % over 30 years. The energy simulation results were validated through case study representing typical terrains and building types (commercial and residential), with simulated energy expenditures showing a high correlation (R2 = 0.92) with actual utility bills, adjusted for local energy rates. The findings of this study highlight substantial financial benefits, with potential annual savings ranging from $2500 to $4000 for residential buildings and $10,000 to $15,000 for commercial buildings, depending on building size and location. These results suggest broader applicability to diverse geographical areas and building types in future research. This research contributes significantly to energy-efficient building practices, paving the way for sustainable construction and reduced environmental impact across the varied landscapes of Pakistan.

Suggested Citation

  • Khan, Abdul Mateen & Tariq, Muhammad Abubakar & Alam, Zeshan & Alaloul, Wesam Salah & Waqar, Ahsan, 2024. "Optimizing energy efficiency through building orientation and building information modelling (BIM) in diverse terrains: A case study in Pakistan," Energy, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224030834
    DOI: 10.1016/j.energy.2024.133307
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224030834
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.133307?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liu, Haifeng & Ampah, Jeffrey Dankwa & Afrane, Sandylove & Adun, Humphrey & Jin, Chao & Yao, Mingfa, 2023. "Deployment of hydrogen in hard-to-abate transport sectors under limited carbon dioxide removal (CDR): Implications on global energy-land-water system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    2. Raihan, Asif, 2023. "Economy-energy-environment nexus: The role of information and communication technology towards green development in Malaysia," Innovation and Green Development, Elsevier, vol. 2(4).
    3. Angeliki Tsantili & Irene Koronaki & Vasilis Polydoros, 2023. "Maximizing Energy Performance of University Campus Buildings through BIM Software and Multicriteria Optimization Methods," Energies, MDPI, vol. 16(5), pages 1-20, February.
    4. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    5. Song, Peng & Mao, Xianqiang & Li, Ziyan & Tan, Zhixiong, 2023. "Study on the optimal policy options for improving energy efficiency and Co-controlling carbon emission and local air pollutants in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    6. Lee, Chien-Chiang & Hussain, Jafar, 2023. "An assessment of socioeconomic indicators and energy consumption by considering green financing," Resources Policy, Elsevier, vol. 81(C).
    7. Alessio Miatto & Claudia Sartori & Martina Bianchi & Paolo Borin & Andrea Giordano & Shoshanna Saxe & T.E. Graedel, 2022. "Tracking the material cycle of Italian bricks with the aid of building information modeling," Journal of Industrial Ecology, Yale University, vol. 26(2), pages 609-626, April.
    8. Mojca Balant & Marjan Lep, 2020. "Comprehensive Traffic Calming as a Key Element of Sustainable Urban Mobility Plans—Impacts of a Neighbourhood Redesign in Ljutomer," Sustainability, MDPI, vol. 12(19), pages 1-20, October.
    9. Muhammad Mushafiq & Muzammil Muhammad Khan Arisar & Hanan Tariq & Stanislaw Czapp, 2023. "Energy Efficiency and Economic Policy: Comprehensive Theoretical, Empirical, and Policy Review," Energies, MDPI, vol. 16(5), pages 1-22, March.
    10. Kapp, Sean & Choi, Jun-Ki & Hong, Taehoon, 2023. "Predicting industrial building energy consumption with statistical and machine-learning models informed by physical system parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    11. Maria Kozlovska & Stefan Petkanic & Frantisek Vranay & Dominik Vranay, 2023. "Enhancing Energy Efficiency and Building Performance through BEMS-BIM Integration," Energies, MDPI, vol. 16(17), pages 1-23, August.
    12. Wang, Xue-Chao & Klemeš, Jiří Jaromír & Dong, Xiaobin & Fan, Weiguo & Xu, Zihan & Wang, Yutao & Varbanov, Petar Sabev, 2019. "Air pollution terrain nexus: A review considering energy generation and consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 71-85.
    13. Liu, Xinglong & Zhao, Fuquan & Hao, Han & Liu, Zongwei, 2023. "Comparative analysis for different vehicle powertrains in terms of energy-saving potential and cost-effectiveness in China," Energy, Elsevier, vol. 276(C).
    14. Ehsan Kamel, 2022. "A Systematic Literature Review of Physics-Based Urban Building Energy Modeling (UBEM) Tools, Data Sources, and Challenges for Energy Conservation," Energies, MDPI, vol. 15(22), pages 1-24, November.
    15. M'Saouri El Bat, Adnane & Romani, Zaid & Bozonnet, Emmanuel & Draoui, Abdeslam & Allard, Francis, 2023. "Optimizing urban courtyard form through the coupling of outdoor zonal approach and building energy modeling," Energy, Elsevier, vol. 264(C).
    16. Souleymane Daniel & Christian Ghiaus, 2023. "Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application," Energies, MDPI, vol. 16(2), pages 1-31, January.
    17. Johari, F. & Peronato, G. & Sadeghian, P. & Zhao, X. & Widén, J., 2020. "Urban building energy modeling: State of the art and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    18. Sandvall, Akram & Karlsson, Kenneth B., 2023. "Energy system and cost impacts of heat supply to low-energy buildings in Sweden," Energy, Elsevier, vol. 268(C).
    19. Yuegang Song & Umer Shahzad & Sudharshan Reddy Paramati, 2023. "Impact of energy infrastructure investments on renewable electricity generation in major Asian developing economies," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 1-23, March.
    20. Zhongming Shi & Heidi Silvennoinen & Arkadiusz Chadzynski & Aurel von Richthofen & Markus Kraft & Stephen Cairns & Pieter Herthogs, 2023. "Defining archetypes of mixed-use developments using Google Maps API data," Environment and Planning B, , vol. 50(6), pages 1607-1623, July.
    21. Ang, Yu Qian & Berzolla, Zachary Michael & Reinhart, Christoph F., 2020. "From concept to application: A review of use cases in urban building energy modeling," Applied Energy, Elsevier, vol. 279(C).
    22. Shen, Yuxuan & Pan, Yue, 2023. "BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization," Applied Energy, Elsevier, vol. 333(C).
    23. Serdar Durdyev & Gholamreza Dehdasht & Saeed Reza Mohandes & David J. Edwards, 2021. "Review of the Building Information Modelling (BIM) Implementation in the Context of Building Energy Assessment," Energies, MDPI, vol. 14(24), pages 1-15, December.
    24. Zikang Ke & Xiaoxin Liu & Hui Zhang & Xueying Jia & Wei Zeng & Junle Yan & Hao Hu & Wong Nyuk Hien, 2023. "Energy Consumption and Carbon Emissions of Nearly Zero-Energy Buildings in Hot Summer and Cold Winter Zones of China," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    25. Jin, Yue & Yang, Lin & Du, Mao & Qiang, Jiaxi & Li, Jingzhong & Chen, Yuxuan & Tu, Jiayu, 2023. "Two-scale based energy management for connected plug-in hybrid electric vehicles with global optimal energy consumption and state-of-charge trajectory prediction," Energy, Elsevier, vol. 267(C).
    26. Shujaat Abbas & Hazrat Yousaf & Shabeer Khan & Mohd Ziaur Rehman & Dmitri Blueschke, 2023. "Analysis and Projection of Transport Sector Demand for Energy and Carbon Emission: An Application of the Grey Model in Pakistan," Mathematics, MDPI, vol. 11(6), pages 1-14, March.
    27. Mingming Wen & Changshi Zhou & Mamonov Konstantin, 2023. "Deep Neural Network for Predicting Changing Market Demands in the Energy Sector for a Sustainable Economy," Energies, MDPI, vol. 16(5), pages 1-17, March.
    28. Shuvo Dip Datta & Bassam A. Tayeh & Ibrahim Y. Hakeem & Yazan I. Abu Aisheh, 2023. "Benefits and Barriers of Implementing Building Information Modeling Techniques for Sustainable Practices in the Construction Industry—A Comprehensive Review," Sustainability, MDPI, vol. 15(16), pages 1-28, August.
    29. Afzal, Sadegh & Ziapour, Behrooz M. & Shokri, Afshar & Shakibi, Hamid & Sobhani, Behnam, 2023. "Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms," Energy, Elsevier, vol. 282(C).
    30. Allen-Dumas, Melissa R. & Rose, Amy N. & New, Joshua R. & Omitaomu, Olufemi A. & Yuan, Jiangye & Branstetter, Marcia L. & Sylvester, Linda M. & Seals, Matthew B. & Carvalhaes, Thomaz M. & Adams, Mark , 2020. "Impacts of the morphology of new neighborhoods on microclimate and building energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    31. Jinxing Wang & Wanming Li & Shamsheer ul Haq & Pomi Shahbaz, 2023. "Adoption of Renewable Energy Technology on Farms for Sustainable and Efficient Production: Exploring the Role of Entrepreneurial Orientation, Farmer Perception and Government Policies," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
    32. Tuan Anh Do & Tung Thanh Nguyen & Kien Trung Duong, 2023. "Harnessing Group-Level Influence to Boost Energy-Savings Behavior in the Office Building," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 614-621, July.
    33. Chang, Lei & Moldir, Mukan & Zhang, Yuan & Nazar, Raima, 2023. "Asymmetric impact of green bonds on energy efficiency: Fresh evidence from quantile estimation," Utilities Policy, Elsevier, vol. 80(C).
    34. Heidenthaler, Daniel & Deng, Yingwen & Leeb, Markus & Grobbauer, Michael & Kranzl, Lukas & Seiwald, Lena & Mascherbauer, Philipp & Reindl, Patricia & Bednar, Thomas, 2023. "Automated energy performance certificate based urban building energy modelling approach for predicting heat load profiles of districts," Energy, Elsevier, vol. 278(PB).
    35. Pedone, Livio & Molaioni, Filippo & Vallati, Andrea & Pampanin, Stefano, 2023. "Energy refurbishment planning of Italian school buildings using data-driven predictive models," Applied Energy, Elsevier, vol. 350(C).
    36. Deng, Zhipeng & Wang, Xuezheng & Jiang, Zixin & Zhou, Nianxin & Ge, Haiwang & Dong, Bing, 2023. "Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction," Energy, Elsevier, vol. 270(C).
    37. Taylor Shelton & Brian Williams, 2023. "Making the Cotton District (White): Urban Renewal, New Urbanism, and the Construction of a Nostalgic Neo-Plantationist Pastiche," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 113(5), pages 1153-1171, May.
    38. Katal, Ali & Mortezazadeh, Mohammad & Wang, Liangzhu (Leon) & Yu, Haiyi, 2022. "Urban building energy and microclimate modeling – From 3D city generation to dynamic simulations," Energy, Elsevier, vol. 251(C).
    39. Junle Yan & Hui Zhang & Xiaoxin Liu & Ling Ning & Wong Nyuk Hien, 2023. "The Impact of Residential Cluster Layout on Building Energy Consumption and Carbon Emissions in Regions with Hot Summers and Cold Winters in China," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    40. Joohyun Jang & Woonyoung Jeong & Sangmin Kim & Byeongcheon Lee & Miyoung Lee & Jihoon Moon, 2023. "RAID: Robust and Interpretable Daily Peak Load Forecasting via Multiple Deep Neural Networks and Shapley Values," Sustainability, MDPI, vol. 15(8), pages 1-27, April.
    41. Muhammad Ali Musarat & Muhammad Irfan & Wesam Salah Alaloul & Ahsen Maqsoom & Maria Ghufran, 2023. "A Review on the Way Forward in Construction through Industrial Revolution 5.0," Sustainability, MDPI, vol. 15(18), pages 1-26, September.
    42. Todor Stojanovski, 2019. "Urban Form and Mobility Choices: Informing about Sustainable Travel Alternatives, Carbon Emissions and Energy Use from Transportation in Swedish Neighbourhoods," Sustainability, MDPI, vol. 11(2), pages 1-28, January.
    43. Abdul Mateen Khan & Muhammad Abubakar Tariq & Sardar Kashif Ur Rehman & Talha Saeed & Fahad K. Alqahtani & Mohamed Sherif, 2024. "BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis," Energies, MDPI, vol. 17(13), pages 1-36, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefano Converso & Paolo Civiero & Stefano Ciprigno & Ivana Veselinova & Saffa Riffat, 2023. "Toward a Fast but Reliable Energy Performance Evaluation Method for Existing Residential Building Stock," Energies, MDPI, vol. 16(9), pages 1-24, May.
    2. Jinyi Li & Zhen Liu & Guizhong Han & Peter Demian & Mohamed Osmani, 2024. "The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
    3. Li, Qiaosi & Zhao, Qunshan, 2024. "Large-scale 3D building and tree datasets constructed from airborne LiDAR point clouds in Glasgow, UK," OSF Preprints 5g8wy_v1, Center for Open Science.
    4. Xavier Faure & Tim Johansson & Oleksii Pasichnyi, 2022. "The Impact of Detail, Shadowing and Thermal Zoning Levels on Urban Building Energy Modelling (UBEM) on a District Scale," Energies, MDPI, vol. 15(4), pages 1-18, February.
    5. Johari, F. & Lindberg, O. & Ramadhani, U.H. & Shadram, F. & Munkhammar, J. & Widén, J., 2024. "Analysis of large-scale energy retrofit of residential buildings and their impact on the electricity grid using a validated UBEM," Applied Energy, Elsevier, vol. 361(C).
    6. Shiyi Song & Hong Leng & Ran Guo, 2022. "Multi-Agent-Based Model for the Urban Macro-Level Impact Factors of Building Energy Consumption on Different Types of Land," Land, MDPI, vol. 11(11), pages 1-24, November.
    7. Luca Gugliermetti & Fabrizio Cumo & Sofia Agostinelli, 2024. "A Future Direction of Machine Learning for Building Energy Management: Interpretable Models," Energies, MDPI, vol. 17(3), pages 1-27, February.
    8. Prataviera, Enrico & Vivian, Jacopo & Lombardo, Giulia & Zarrella, Angelo, 2022. "Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis," Applied Energy, Elsevier, vol. 311(C).
    9. Ehsan Kamel, 2022. "A Systematic Literature Review of Physics-Based Urban Building Energy Modeling (UBEM) Tools, Data Sources, and Challenges for Energy Conservation," Energies, MDPI, vol. 15(22), pages 1-24, November.
    10. Bass, Brett & New, Joshua & Clinton, Nicholas & Adams, Mark & Copeland, Bill & Amoo, Charles, 2022. "How close are urban scale building simulations to measured data? Examining bias derived from building metadata in urban building energy modeling," Applied Energy, Elsevier, vol. 327(C).
    11. Vahid-Ghavidel, Morteza & Jafari, Mehdi & Letellier-Duchesne, Samuel & Berzolla, Zachary & Reinhart, Christoph & Botterud, Audun, 2024. "Integrated energy demand-supply modeling for low-carbon neighborhood planning," Applied Energy, Elsevier, vol. 358(C).
    12. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    13. Chen, Zeyu & Tang, Yuhong & Shen, Hebin & Liu, Jiali & Hu, Zheng, 2024. "Threshold effects of Government digital development and land resource disparity on Urban carbon efficiency in China," Resources Policy, Elsevier, vol. 94(C).
    14. Maciej Dzikuć & Joanna Wyrobek & Łukasz Popławski, 2021. "Economic Determinants of Low-Carbon Development in the Visegrad Group Countries," Energies, MDPI, vol. 14(13), pages 1-12, June.
    15. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    16. Jeonghwa Cha & Kyungbo Park & Hangook Kim & Jongyi Hong, 2023. "Crisis Index Prediction Based on Momentum Theory and Earnings Downside Risk Theory: Focusing on South Korea’s Energy Industry," Energies, MDPI, vol. 16(5), pages 1-20, February.
    17. Li, Shuguang & Leng, Yuchi & Chaturvedi, Rishabh & Dutta, Ashit Kumar & Abdullaeva, Barno Sayfutdinovna & Fouad, Yasser, 2024. "Sustainable freshwater/energy supply through geothermal-centered layout tailored with humidification-dehumidification desalination unit; Optimized by regression machine learning techniques," Energy, Elsevier, vol. 303(C).
    18. Zhao, Chuyun & Tang, Jinjun & Kong, Xiangxin & Yu, Tianjian & Li, Zhitao, 2024. "Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors," Energy, Elsevier, vol. 309(C).
    19. Janina Jędrzejczak-Gas & Joanna Wyrwa & Anetta Barska, 2024. "Sustainable Energy Development and Sustainable Economic Development in EU Countries," Energies, MDPI, vol. 17(7), pages 1-20, April.
    20. Yael Nidam & Ali Irani & Jamie Bemis & Christoph Reinhart, 2023. "Census-based urban building energy modeling to evaluate the effectiveness of retrofit programs," Environment and Planning B, , vol. 50(9), pages 2394-2406, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224030834. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.