9 research outputs found
Use of Statistical Approach to Design an Optimal Duct System for On-demand Industrial Exhaust Ventilation
This paper elaborates on how to use statistics to calculate optimal parameters (including duct diameters) of energy-efficient industrial ventilation systems. Based on the fan-law, on-demand ventilation can save up to 80% of electricity compared to classical systems. For the purposes of this paper, we consider a classical exhaust ventilation system one that uses constant fan RPM and air velocity in the ducts.
There are multiple design and operational challenges to successfully implementing an on-demand system. Several of these challenges and their solutions are described in this paper.
The basic idea behind on-demand ventilation is to close ventilation outlets at workstations that are not producing dust (or fumes or mist) and adjust the fan speed accordingly.
It is easy to implement such a system if there is no requirement for minimum transport velocities in the ducting, as is the case in fume collection systems (such as welding shops). The task becomes challenging when particulate matter has to be transported in the duct system because minimum air velocities have to be maintained in every part of the ducting in order to prevent settling (which presents a fire and explosion hazard )
Innovative Energy Efficient Industrial Ventilation
This paper was written to describe an
innovative “on-demand” industrial ventilation
system for woodworking, metalworking, food
processing, pharmaceutical, chemical, and other
industries. Having analyzed existing industrial
ventilation in 130 factories, we found striking
dichotomy between the classical “static” design of
ventilation systems and constantly changing
workflow and business demands. Using data from
real factories, we are able to prove that classical
industrial ventilation design consumes 70 % more
energy than necessary. Total potential electricity
saving achieved by using on-demand systems instead
of classically designed industrial ventilation in the
U.S. could be 26 billion kWh. At the average
electricity cost of 7 cents per kWh, this would
represent $1.875 billion. Eighty such systems are
already installed in the USA and European Union
Introduction to Information Visualization (InfoVis) Techniques for Model-Based Systems Engineering
This paper presents insights that conform to numerous system modeling languages/representation standards. The insights are drawn from best practices of Information Visualization as applied to aerospace-based applications