scholarly journals Ultra-Low SWaP CO2 Sensing for Demand Control Ventilation Final Report

2020 ◽  
Author(s):  
David Schwartz
Keyword(s):  
Control Ventilation ◽  
Final Report ◽  
Demand Control Ventilation ◽  
Demand Control

scholarly journals Towards measuring real-time occupant levels to reduce ventilation fan energy consumption in existing institutional gathering spaces - a field study using thermal sensors.

2021 ◽  
Author(s):  
Danielle Churchill
Keyword(s):  
Field Study ◽  
Energy Savings ◽  
Control Ventilation ◽  
Thermal Sensors ◽  
Outdoor Air ◽  
Original Design ◽  
Demand Control Ventilation ◽  
Demand Control ◽  
Current Standards ◽  
Ventilation Fan

Ventilation systems in buildings have been traditionally designed for the maximum projected number of occupants; while buildings often have fewer occupants than the maximum and in some cases can be unoccupied for extended periods. Changing the rate of outdoor air to reflect changes in the number of occupants in a space is referred to as demand control ventilation (DCV). A field study was performed using thermal sensors to determine the number of occupants using lecture rooms of an institutional building. The occupant data was used to calculate minimum ventilation for the lecture rooms using current ventilation standards from ASHRAE Standard 62.1. It was found that by current standards, the required ventilation is considerably less than the original design ventilation. Based on occupant data and variables specific to the lecture rooms, it was found that the ventilation can be reduced by at least 40% creating a potential for significant energy savings.

scholarly journals Development the tool for demand control ventilation systems elements design and their impact to building life-cycle assessment: a review

2018 ◽  
Vol 146 ◽  
pp. 01013
Author(s):  
Richard Pinka
Keyword(s):  
Design Process ◽  
Ventilation System ◽  
Control Ventilation ◽  
System Control ◽  
Assessment Procedure ◽  
Confidence Degree ◽  
Co2 Detection ◽  
Demand Control Ventilation ◽  
Building Life Cycle ◽  
Demand Control

The paper describes possible methodology for DCV – demand control ventilation design process which will lead to solving the most important problems of more accurate ventilation system design, the efficiency: time and costs of design while improving its effectivity (level of design confidence, degree of uncertainty, financial parameters). For this purpose it has been started developing the tool implementing the methodology. Furthermore, it describes steps of testing and validation design process by implementation state-of-the-art algorithms for measuring the occupancy or CO2 detection for DCV system control testing sites and their comparison with computation design results. It describes also the reasons and necessity of decomposition of whole ventilation system to specific elements for the design and assessment procedure.

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