Automatic adjustment of demand driven ventilation systems
The project's goal is to explore the potential for energy savings by automatically in regulation of ventilation systems, where a new type of electric control valve is located in all air inlet points.
The project's goal is to examine how large an energy consumption reduction, can be achieved by automatically in regulation of a ventilation system, where all air supply points are equipped with an electric control valve.
In order to combine the "Demand controlled ventilation" with the lowest possible energy consumption, of a ventilation system, where all air supply points are equipped with a control valve, the ventilation controller must be able to do a form of automatic regulation.
The project will examine the control algorithms that can be used in automatically regulation of a demand controlled ventilation, with a large number of degrees of freedom.
The company JolTech ApS has developed and patented a new type of silent, low cost, actuator for ventilation valves. The new type of actuator makes it practical and economic feasible to equip ventilation systems with a large number of control points. There will be developed and produced a number of valves with the new type actuator.
Nowadays, most ventilation systems in use are being calibrated manually. Considering this and the need to ensure sufficient ventilation in all rooms, the systems normally ran at a much higher capacity than is really needed. Due to this, there are good opportunities to achieve large energy savings by introducing optimal control strategies with the aim of ensuring sufficient air ventilation at minimum energy consumption. In order to facilitate this, ventilation systems with valves situated at each exit grill will be considered as this opens up for local control of the ventilated air.
Optimal control strategies give the requirements that are needed, with the least energy consumption in each situation. In order to do the optimal control in ventilation systems, the first step is to know the fundamental equations and how these systems work. To implement the optimal control in these systems, the main parameters has to be known. Some parameters such as the parameters of the exit valves and fan features will be known but other parameters like ducts will not be known (usually, the system is already built and it is not known how the ducts are). These parameters have to be estimated. Now the current challenge is to design how to estimate these parameters of ventilation systems. If the parameters are known, the system can work with a minimum energy consumption for each situation. Consequently, you will reach the best efficiency.
Key figures
Category
Participants
| Partner | Subsidy | Auto financing |
|---|---|---|
| EXHAUSTO A/S | ||
| Lean Energy Cluster | ||
| Syddansk Universitet |
