BS2025 / Program / Energy Performance Gap in a Net-Zero Building: Taxonomy of Noise and Entropy Indices for Power, Exergy and Energy Availability

Energy Performance Gap in a Net-Zero Building: Taxonomy of Noise and Entropy Indices for Power, Exergy and Energy Availability

Location
Room 3
Time
August 27, 11:00 am-11:15 am

This paper brings together a standard computing procedure for determining the default energy performance gap in a net-zero building. The unwanted intensity of a wave is the propagation of noise due to the transmission of energy source waves (viz. physical agents) such as sun, light, sound, heat, electricity, fluid, and fire. The objective of this paper is to develop the taxonomy of noise and entropy indices for power, exergy, and energy availability by comparing them with the net-zero baseline standard. This computing scheme is developed for determining the default energy performance gap of an energy-efficient ventilation system in the net-zero building targeting energy savings by identifying the unwanted energy intensity. The computing procedure for the superposition of integrated noise and entropy indices is presented based on the newly devised noise scales invented by the author. The working prototype and simulation model are proposed for power and energy availability from a photovoltaic (PV) solar wall device integrated with an airflow window.

Key Innovations

  • A computing scheme is developed for determining the default energy performance gap of an energy-efficient ventilation system in the net-zero building targeting energy savings by identifying the unwanted energy intensity.
  • The computing procedure for the superposition of integrated noise and entropy indices is presented based on the newly devised noise scales invented by the author.

Practical Implications

A standard computing procedure for determining the default energy performance gap in a net-zero building.

Presenters

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