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Jeff S. Haberl

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Kota, Sandeep Joshua / Haberl, Jeff S. (2024): POLarizer-FENestration (POLFEN) a novel concept of a glazing technology to modulate daylighting and glare in buildings. In: Building and Environment, v. 261 (August 2024).

    https://doi.org/10.1016/j.buildenv.2024.111748

  2. Kheiri, Farshad / Haberl, Jeff S. / Baltazar, Juan-Carlos (2023): Split-degree day method: A novel degree day method for improving building energy performance estimation. In: Energy and Buildings, v. 289 (June 2023).

    https://doi.org/10.1016/j.enbuild.2023.113034

  3. Ahn, Jounghwan / Haberl, Jeff S. (2023): Origins of whole-building energy simulations for high-performance commercial buildings: Contributions of NATEOUS, SHEP, TACS, CP-26, and RESPTK programs. In: Science and Technology for the Built Environment, v. 29, n. 4 (March 2023).

    https://doi.org/10.1080/23744731.2023.2181618

  4. Shin, Minjae / Haberl, Jeff S. (2022): A procedure for automating thermal zoning for building energy simulation. In: Journal of Building Engineering, v. 46 (April 2022).

    https://doi.org/10.1016/j.jobe.2021.103780

  5. Kim, Kee Han / Haberl, Jeff S. (2015): Development of a home energy audit methodology for determining energy-efficient, cost-effective measures in existing single-family houses using an easy-to-use simulation. In: Building Simulation, v. 8, n. 5 (June 2015).

    https://doi.org/10.1007/s12273-015-0238-3

  6. Kim, Kee Han / Haberl, Jeff S. (2016): Development of a home energy audit methodology for determining energy and cost efficient measures using an easy-to-use simulation: Test results from single-family houses in Texas, USA. In: Building Simulation, v. 9, n. 6 (August 2016).

    https://doi.org/10.1007/s12273-016-0299-y

  7. Jeong, WoonSeong / Kim, Jong Bum / Clayton, Mark J. / Haberl, Jeff S. / Yan, Wei (2015): A framework to integrate object-oriented physical modelling with building information modelling for building thermal simulation. In: Journal of Building Performance Simulation, v. 9, n. 1 (February 2015).

    https://doi.org/10.1080/19401493.2014.993709

  8. Oh, Sukjoon / Haberl, Jeff S. / Baltazar, Juan-Carlos (2020): Analysis of zone-by-zone indoor environmental conditions and electricity savings from the use of a smart thermostat: A residential case study. In: Science and Technology for the Built Environment, v. 26, n. 3 (February 2020).

    https://doi.org/10.1080/23744731.2019.1707618

  9. Mao, Chunliu / Baltazar, Juan-Carlos / Haberl, Jeff S. (2019): Comparison of ASHRAE peak cooling load calculation methods. In: Science and Technology for the Built Environment, v. 25, n. 2 (February 2019).

    https://doi.org/10.1080/23744731.2018.1510240

  10. Mao, Chunliu / Baltazar, Juan-Carlos / Haberl, Jeff S. (2018): Literature review of building peak cooling load methods in the United States. In: Science and Technology for the Built Environment, v. 24, n. 3 (January 2018).

    https://doi.org/10.1080/23744731.2017.1373700

  11. Oh, Sukjoon / Haberl, Jeff S. (2015): Origins of analysis methods used to design high-performance commercial buildings: Solar energy analysis. In: Science and Technology for the Built Environment, v. 22, n. 1 (November 2015).

    https://doi.org/10.1080/23744731.2015.1090277

  12. Oh, Sukjoon / Haberl, Jeff S. (2015): Origins of analysis methods used to design high-performance commercial buildings: Daylighting simulation. In: Science and Technology for the Built Environment, v. 22, n. 1 (November 2015).

    https://doi.org/10.1080/23744731.2015.1090278

  13. Oh, Sukjoon / Haberl, Jeff S. (2015): Origins of analysis methods used to design high-performance commercial buildings: Whole-building energy simulation. In: Science and Technology for the Built Environment, v. 22, n. 1 (November 2015).

    https://doi.org/10.1080/23744731.2015.1063958

  14. Andolsun, Simge / Culp, Charles H. / Haberl, Jeff S. / Witte, Michael J. (2012): EnergyPlus vs DOE-2.1e: The effect of ground coupling on cooling/heating energy requirements of slab-on-grade code houses in four climates of the US. In: Energy and Buildings, v. 52 (September 2012).

    https://doi.org/10.1016/j.enbuild.2012.06.012

  15. Song, Suwon / Haberl, Jeff S. (2013): Analysis of the impact of using synthetic data correlated with measured data on the calibrated as-built simulation of a commercial building. In: Energy and Buildings, v. 67 (December 2013).

    https://doi.org/10.1016/j.enbuild.2013.07.057

  16. Kota, Sandeep / Haberl, Jeff S. / Clayton, Mark J. / Yan, Wei (2014): Building Information Modeling (BIM)-based daylighting simulation and analysis. In: Energy and Buildings, v. 81 (October 2014).

    https://doi.org/10.1016/j.enbuild.2014.06.043

  17. Kim, Kee Han / Haberl, Jeff S. (2015): Development of methodology for calibrated simulation in single-family residential buildings using three-parameter change-point regression model. In: Energy and Buildings, v. 99 (July 2015).

    https://doi.org/10.1016/j.enbuild.2015.04.032

  18. Oh, Sukjoon / Haberl, Jeff S. / Baltazar, Juan-Carlos (2020): Analysis methods for characterizing energy saving opportunities from home automation devices using smart meter data. In: Energy and Buildings, v. 216 (June 2020).

    https://doi.org/10.1016/j.enbuild.2020.109955

  19. Shin, Minjae / Baltazar, Juan-Carlos / Haberl, Jeff S. / Frazier, Edwin / Lynn, Bobby (2019): Evaluation of the energy performance of a net zero energy building in a hot and humid climate. In: Energy and Buildings, v. 204 (December 2019).

    https://doi.org/10.1016/j.enbuild.2019.109531

  20. Shin, Minjae / Haberl, Jeff S. (2019): Thermal zoning for building HVAC design and energy simulation: A literature review. In: Energy and Buildings, v. 203 (November 2019).

    https://doi.org/10.1016/j.enbuild.2019.109429

  21. Kim, Jong Bum / Jeong, WoonSeong / Clayton, Mark J. / Haberl, Jeff S. / Yan, Wei (2015): Developing a physical BIM library for building thermal energy simulation. In: Automation in Construction, v. 50 (February 2015).

    https://doi.org/10.1016/j.autcon.2014.10.011

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