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Kyosuke Hiyama ORCID

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. Tokuwaki, Yuma / Kamide, Takeru / Hirakawa, Satoshi / Maruyama, Jun / Hiyama, Kyosuke: Operational performance and environmental satisfaction survey of a university building with large learning commons. In: Journal of Asian Architecture and Building Engineering.

    https://doi.org/10.1080/13467581.2024.2333464

  2. Hiyama, Kyosuke / Srisamranrungruang, Thanyalak (2023): Low-carbon assessment of building facades using dynamic CO2 intensity of electricity generation in Japan. In: Energy and Buildings, v. 278 (January 2023).

    https://doi.org/10.1016/j.enbuild.2022.112637

  3. Kobayashi, Takuma / Hiyama, Kyosuke / Omodaka, Yuichi / Oura, Yutaka / Asaoka, Yukiyasu (2022): Regional adaptivity of electrochromic glazing in Japan and operational improvement in energy saving using machine learning. In: Japan Architectural Review, v. 5, n. 3 (30 June 2022).

    https://doi.org/10.1002/2475-8876.12272

  4. Omodaka, Yuichi / Hiyama, Kyosuke / Oura, Yutaka / Asaoka, Yukiyasu (2022): Adaptation of electrochromic glass into an airflow window system and its performance evaluation. In: Japan Architectural Review, v. 5, n. 3 (30 June 2022).

    https://doi.org/10.1002/2475-8876.12267

  5. Hiyama, Kyosuke / Takeuchi, Kenichiro / Omodaka, Yuichi / Srisamranrungruang, Thanyalak (2021): Operation strategy for engineered natural ventilation using machine learning under sparse data conditions. In: Japan Architectural Review, v. 5, n. 1 (December 2021).

    https://doi.org/10.1002/2475-8876.12255

  6. Hiyama, Kyosuke / Omodaka, Yuichi (2021): Operation of climate-adaptive building shells utilizing machine learning under sparse data conditions. In: Journal of Building Engineering, v. 43 (November 2021).

    https://doi.org/10.1016/j.jobe.2021.103027

  7. Srisamranrungruang, Thanyalak / Hiyama, Kyosuke (2021): Correlations between building performances and design parameters of double‐skin facade utilizing perforated screen. In: Japan Architectural Review, v. 4, n. 3 (June 2021).

    https://doi.org/10.1002/2475-8876.12222

  8. Hiyama, Kyosuke / Okada, Hirotsugu / Matsuda, Ken (2018): Understanding the effect of background awareness in urban wind environment visualizations to minimize information entropy. In: Sustainable Cities and Society, v. 41 (August 2018).

    https://doi.org/10.1016/j.scs.2018.05.036

  9. Diao, Yunting / Kato, Shinsuke / Hiyama, Kyosuke (2011): Development of an optimal design aid system based on building information modeling. In: Building Simulation, v. 4, n. 4 (December 2011).

    https://doi.org/10.1007/s12273-011-0054-3

  10. Hiyama, Kyosuke / Kato, Shinsuke / Ishida, Yoshihiro (2010): Thermal simulation: Response factor analysis using three-dimensional CFD in the simulation of air conditioning control. In: Building Simulation, v. 3, n. 3 (September 2010).

    https://doi.org/10.1007/s12273-010-0009-0

  11. Hiyama, Kyosuke / Kato, Shinsuke (2011): Optimization of variables in air conditioning control systems: Applications of simulations integrating CFD analysis and response factor method. In: Building Simulation, v. 4, n. 4 (December 2011).

    https://doi.org/10.1007/s12273-011-0051-6

  12. Hiyama, Kyosuke / Kato, Shinsuke (2011): Integration of three-dimensional CFD results into energy simulations utilizing an Advection–Diffusion Response Factor. In: Energy and Buildings, v. 43, n. 10 (October 2011).

    https://doi.org/10.1016/j.enbuild.2011.06.027

  13. Hiyama, Kyosuke / Kato, Shinsuke / Kubota, Masakazu / Zhang, Jensen (2014): A new method for reusing building information models of past projects to optimize the default configuration for performance simulations. In: Energy and Buildings, v. 73 (April 2014).

    https://doi.org/10.1016/j.enbuild.2014.01.025

  14. Hiyama, Kyosuke / Wen, Liwei (2015): Rapid response surface creation method to optimize window geometry using dynamic daylighting simulation and energy simulation. In: Energy and Buildings, v. 107 (November 2015).

    https://doi.org/10.1016/j.enbuild.2015.08.035

  15. Wen, Liwei / Hiyama, Kyosuke / Koganei, Makoto (2017): A method for creating maps of recommended window-to-wall ratios to assign appropriate default values in design performance modeling: A case study of a typical office building in Japan. In: Energy and Buildings, v. 145 (June 2017).

    https://doi.org/10.1016/j.enbuild.2017.04.028

  16. Srisamranrungruang, Thanyalak / Hiyama, Kyosuke (2020): Balancing of natural ventilation, daylight, thermal effect for a building with double-skin perforated facade (DSPF). In: Energy and Buildings, v. 210 (March 2020).

    https://doi.org/10.1016/j.enbuild.2020.109765

  17. Hiyama, Kyosuke (2020): Regional classification maps for engineered natural ventilation design of office buildings in Japan. In: Japan Architectural Review, v. 4, n. 1 (August 2020).

    https://doi.org/10.1002/2475-8876.12201

  18. Zhang, Weirong / Hiyama, Kyosuke / Kato, Shinsuke / Ishida, Yoshihiro (2013): Building energy simulation considering spatial temperature distribution for nonuniform indoor environment. In: Building and Environment, v. 63 (May 2013).

    https://doi.org/10.1016/j.buildenv.2013.02.007

  19. Suga, Kentaro / Kato, Shinsuke / Hiyama, Kyosuke (2010): Structural analysis of Pareto-optimal solution sets for multi-objective optimization: An application to outer window design problems using Multiple Objective Genetic Algorithms. In: Building and Environment, v. 45, n. 5 (May 2010).

    https://doi.org/10.1016/j.buildenv.2009.10.021

  20. Yaegashi, Aya / Hiyama, Kyosuke / Kato, Shinsuke / Tezuka, Junichi / Nikawa, Satoshi (2015): Thermal Performance Evaluation of a Dynamic Insulation Technology Applied to a Timber Framework House in a Real Environment. In: Journal of Asian Architecture and Building Engineering, v. 14, n. 1 (January 2015).

    https://doi.org/10.3130/jaabe.14.213

  21. Zhou, You / Hiyama, Kyosuke / Kato, Shinsuke / Zhang, Weirong (2014): Study on Statistical Prediction and Design Method for Indoor Thermal Environment. In: Journal of Asian Architecture and Building Engineering, v. 13, n. 1 (January 2014).

    https://doi.org/10.3130/jaabe.13.255

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