An approach to develop a green building technology database for residential buildings

Jialei Shen, Jianshun Zhang

Research output: Contribution to journalConference article

Abstract

Buildings consume approximately 39% of the total energy used in US, of which 53% is consumed by residential buildings. Besides, indoor air quality (IAQ) have significant impacts on occupant health since people spend on average around 90% of their time indoors. Nowadays, a great number of green building technologies (GBTs) have been developed and implemented in buildings for reducing energy consumption and improving IAQ. This paper proposes an approach to develop a green building technology database for residential buildings including their the technology's feature and performance for energy saving and IAQ improvement under different building configuration and climate conditions. The GBTs are collected from case study buildings. For each study case, the GBTs are classified by the Virtual Design Studio (VDS) building assessment method. A local reference building is first defined for the region where the case building is constructed. Both forward-step evaluation of a proposed GBT to a reference building and backward-step tracking of the contribution of the technology to the case building are conducted. A scalability analysis is also conducted to understand the practical application of the performance parameters to other cases with different building design. EnergyPlus and CHAMPS-Multizone are used to analyse the energy and IAQ performance for each technology. The approach is verified by a case study of two single-family houses in US.

Original languageEnglish (US)
Article number042063
JournalIOP Conference Series: Materials Science and Engineering
Volume609
Issue number4
DOIs
StatePublished - Oct 23 2019
Event10th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2019 - Bari, Italy
Duration: Sep 5 2019Sep 7 2019

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

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