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Data-Driven Construction and Operating Cost Decision Support Through Techno-Economic Analysis: Residential Case Study

  • Panos Karaiskos
  • Tulio Sulbaran

Construction and operating costs of residential buildings are important. Because, it can help designers, builders, owners, and renters make informed decisions about where and what to buy or rent. One of the most significant operating costs of residences is energy cost. More specifically, heating, ventilation, and air conditioning account for as much as 35% of the overall energy consumption of buildings in the world. Thus, the problem that this research paper addresses is the decision trade-off of construction costs vs. operating costs. Therefore, this paper aims to perform a techno-economic analysis of exterior residential wall-type alternatives in a warm-humid climate. The research followed a quantitative methodology using a virtual case study with multi-objective analysis. The results of this study show the significant importance of the building’s infiltration on the operational savings and the return on investment (ROI) of the different types of exterior residential walls. and emphasizes the importance of a holistic approach to energy conservation regulations. The novelty of this study is the emphasis on the importance of infiltration in pre-construction decision-making. The broader impact of this result is that the International Energy Conservation Code (IECC) and similar standards could be revised to reduce energy consumption and reduce greenhouse gas emissions produced during energy generation

  • Keywords:
  • Residential,
  • Building Performance,
  • Construction Cost Estimating,
  • Insulation,
  • Infiltration,
  • Return on Investment,
  • Decision Support,
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Panos Karaiskos

The University of Texas at San Antonio, United States

Tulio Sulbaran

The University of Texas at San Antonio, United States

  1. Abanda, F. H., & Byers, L. (2016). An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling). Energy, 97, 517–527. DOI: 10.1016/j.energy.2015.12.135
  2. Building Energy Codes Program, D. (2018). BUILDING ENERGY CODES www.energycodes.gov BUILDING ENERGY CODES PROGRAM Residential Provisions of the 2018 International Energy Conservation Code. www.energycodes.gov
  3. D’Agostino, D., de’ Rossi, F., Marigliano, M., Marino, C., & Minichiello, F. (2019). Evaluation of the optimal thermal insulation thickness for an office building in different climates by means of the basic and modified “cost-optimal” methodology. Journal of Building Engineering, 24. DOI: 10.1016/j.jobe.2019.100743
  4. Department of Energy, U. (2015). AN ASSESSMENT OF ENERGY TECHNOLOGIES AND RESEARCH OPPORTUNITIES Chapter 5: Increasing Efficiency of Building Systems and Technologies.
  5. electricityplans.com. (2023). Average cost of electricity in Texas. https://electricityplans.com/average-electricity-bill-in-texas/#:~:text=The%20average%20cost%20of%20electricity%20in%20Texas%20is%2014.63%20cents,both%20electricity%20and%20delivery%20costs.
  6. Energy Plus. (n.d.). Retrieved March 19, 2023, from https://energyplus.net/
  7. Farhanieh, B., & Sattari, S. (2006). Simulation of energy saving in Iranian buildings using integrative modeling for insulation. Renewable Energy, 31(4), 417–425. DOI: 10.1016/j.renene.2005.04.004
  8. Ghrab-Morcos, N. (2005). CHEOPS: A simplified tool for thermal assessment of Mediterranean residential buildings in hot and cold seasons. Energy and Buildings, 37(6), 651–662. DOI: 10.1016/j.enbuild.2004.09.020
  9. Huang, H., Zhou, Y., Huang, R., Wu, H., Sun, Y., Huang, G., & Xu, T. (2020). Optimum insulation thicknesses and energy conservation of building thermal insulation materials in Chinese zone of humid subtropical climate. Sustainable Cities and Society, 52. DOI: 10.1016/j.scs.2019.101840
  10. IECC. (2015). IECC DIGITAL CODES SECTION R402 BUILDING THERMAL ENVELOPE. IECC DIGITAL CODES. https://codes.iccsafe.org/s/IECC2015/chapter-4-re-residential-energy-efficiency/IECC2015-Pt02-Ch04-SecR402#:~:text=The%20building%20thermal%20envelope%20is,leakage)%20requirements%20of%20the%20code DOI: 10.1016/j.buildenv.2017.06.007
  11. Ji, Y., Duanmu, L., & Li, X. (2017). Building air leakage analysis for individual apartments in North China. Building and Environment, 122, 105–115.
  12. John Wiley & Sons. (2012).   RSMeans cost data student edition.
  13. Kaynakli, O. (2012). A review of the economical and optimum thermal insulation thickness for building applications. In Renewable and Sustainable Energy Reviews (Vol. 16, Issue 1, pp. 415–425). DOI: 10.1016/j.rser.2011.08.006
  14. Kneifel, J. (2012). Prototype Residential Building Designs for Energy and Sustainability Assessment. DOI: 10.6028/NIST.TN.1765
  15. Ogulata, T., Tug, R., & Ogˇulata, O. (2002). Sectoral energy consumption in Turkey. In Renewable and Sustainable Energy Reviews (Vol. 6). www.elsevier.com/locate/rser
  16. Persily, A., Ng, L., Dols, W. S., & Emmerich, S. (n.d.). Techniques to Estimate Commercial Building Infiltration Rates.
  17. RS Means. (n.d.). RS Means data from Gordian. 2023. Retrieved July 8, 2023, from https://www.rsmeans.com/info/contact/about-us
  18. Tian, Z., Yang, J., Lei, Y. P., & Yang, L. (2019). Sensitivity Analysis of Infiltration Rates Impact on Office Building Energy Performance. IOP Conference Series: Earth and Environmental Science, 238(1). DOI: 10.1088/1755-1315/238/1/012019
  19. U.S. Census Bureau. (n.d.). Retrieved March 19, 2023, from https://www.census.gov/construction/nrc/index.html
  20. Vine, E. L., & Kazakevicius, E. (1999). Residential energy use in Lithuania: the prospects for energy efficiency. In Energy (Vol. 24). www.elsevier.com/locate/energy
  21. Wang, Y., Huang, Z., & Heng, L. (2007). Cost-effectiveness assessment of insulated exterior walls of residential buildings in cold climate. International Journal of Project Management, 25(2), 143–149. DOI: 10.1016/j.ijproman.2006.09.007
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  • Anno di pubblicazione: 2023
  • Pagine: 466-476

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  • Anno di pubblicazione: 2023

Informazioni sul capitolo

Titolo del capitolo

Data-Driven Construction and Operating Cost Decision Support Through Techno-Economic Analysis: Residential Case Study

Autori

Panos Karaiskos, Tulio Sulbaran

DOI

10.36253/979-12-215-0289-3.45

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY-NC 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Sottotitolo del libro

Managing the Digital Transformation of Construction Industry

Curatori

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Opera sottoposta a peer review

Anno di pubblicazione

2023

Copyright

© 2023 Author(s)

Licenza d'uso

CC BY-NC 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

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2704-601X

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2704-5846

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