This method is shown in the second model alongside. That gives 2 kg / s> (2/1.2) * 3600 = 6000 m3/hr.Ī better way is to get out of the heat content of air enthalpy h = Q = (29.6 kJ - 19.5 kJ) * 2 kg / s = 20.15 kW. Note: these blocks do not affect the model / process and are purely for the measurement of variables / units.Īmount of heat flow Q is Q = mass * specific heat * vd air temperature Q = 2kg / s * 1007 * 10 = 20 kW Density at 20 ' C as per 1 m3 of air is 1.2 kg. When we want to calculate the power we place additional blocks for measuring the required units for power. While absolute humidity remains the same 3.8 g / kg. The 'heater' block is calculated itself you can see what happens with the air of 10 ' C when it is heated to 20 ' C. See that it automatically calculates what the air is doing. Heater block: Then we give in parameter for the heater in the block 'heater'. Then we connect these blocks so that air can be heatedĪir block: Here we set the parameters for the initial situation at 10 ' C and 50% RH (relative humidity) and Flow 2 kg / s. With HVAC Simply the process of heating of air can be easily modeling by a block 'Source air' and a block 'heater' place on the grid. With HVAC Simply the above process can be modeling and automatic calculated how much power is needed for this,Īnd what happens to the relative humidity during this process HVAC Simply solution: A simpler solution is to use HVAC Simply. This problem can be solved using a Mollier Diagram. What happens to the humidity when 2 kg of air is heated from 10 ' C to 20 'C ? The HMI would enable building design engineers to design and set-up an effective Energy Management System, and test such designs with negligible cost and minimal complexity compared to that involved in using physical loads.Solving various issues with using HVAC Simply simulation software A software application was developed using LabVIEW, which enables the user to configure the system parameters through a Human Machine Interface (HMI).
The various components of an HVAC system were mathematically modeled and were integrated to simulate real-time energy and process parameters. An attempt has been made to model and simulate the HVAC (Heating, Ventilation and Air-Conditioning) system for a typical commercial building, which consumes the most electrical power in such buildings. Hence, monitoring and managing the available electrical power is a very important part of conserving energy resources, reducing greenhouse gas emissions and cutting down energy expenses.
Commercial buildings consume a considerable amount of the world’s energy and this can be substantially reduced through strategic monitoring and optimization of their energy consumption.
0 kommentar(er)
