Analysis of energy consumption of air handling units based on probability theory

The existing building stock in Hungary accounts for over 40% of total energy consumption of which heating and airconditioning systems use represents the most. International and national regulations encourage cutting down the energy consumption in buildings. For this reason it is important to determine energy consumption exactly. In view of outdoor air parameters (temperature, humidity and enthalpy) variation a new calculation method was necessary to set up for evaluating of energy consumption of air handling units. In consideration of the fact that outdoor air condition values can be regarded as a probability variable we have worked out a new evaluation method of energy consumption of air handling units based on probability theory. The research work was carried out by scientific methods.


Introduction
The Directive 2002/91/EC of the European Parliament and Council on energy efficiency of buildings ordered to verify energy consumption of buildings, to cut down and certify the energy performance of buildings.Energy consumption of buildings depends on the HVAC systems to a higher degree such as air-conditioning systems.
7/2006.(V.24.)TNM order offers a direction about determination of energy consumption of the building and HVAC systems in Hungary.It provides a solution to determine energy consumption of HVAC systems during the year.This procedure is suitable to calculate annual energy consumption of heating and ventilating systems but in consequence of size limits determination of energy consumption of air-conditioning systems and air handling units have not ranged at large.
The aim of our research work was to work out a particular procedure.As outdoor air parameters (temperature, humidity and enthalpy) vary in daily and season period so vary the performance of heating, cooling and adiabatic humidifier constantly in the air handling unit [1].The new scientific method that has been developed at Department of Building Service Engineering and Process Engineering in Budapest University of Technology and Economics considers outdoor climatic parameters (temperature, humidity, enthalpy) as probability variables [2].Variation of outdoor air parameters were considered on the basis of distribution function of outdoor air temperature and enthalpy.The new physical and mathematical model takes into account the air handling processes during the operation of air handling units [3,4].In order to put into practise the mathematical method a computer program was made to carry out a quick and exact calculation.

Outdoor air condition as a probability variable
From the perspective of air conditioning technology the key attributes of outdoor air are temperature, humidity and enthalpy.These values randomly vary from minute to minute.The probability theory starts from the bulk of the elementary results of some experiments (e.g.: air temperature measurement).One single real number can be attributed to each elementary event (the measured temperature).The correlation interpreted with this attribution is called the probability variable.We can talk about discrete and continuous distribution probability variable.The air condition values can take any value within a range and may be regarded as a continuous probability variable.A probability variable may have an expected value, dispersion, distribution and density function.
A probability variable with a continuous distribution is characterized by the distribution (F(x)) and density ( f (x)) functions.
The probability that the value of probability variable is between a and b: The distribution function shows the probability of t probability variable taking a value less than x: The distribution functions of outdoor air parameters (temperature, enthalpy) can be applied for determine the actual energy consumption of air handling units [5].The temperature, humidity and enthalpy of outdoor air can be accounted continuous distribution probability variable that can be converged as Gauss distribution [6].Calculation of heating energy consumption it is necessary to take account of variation of outdoor air parameters (temperature, humidity and enthalpy) that vary in daily and season period [7,8].Making energy calculation of a building, the outdoor air condition values can be regarded as a probability variable [9] that has momentary, maximum, minimum and average values, distribution function which can be defined according daily, weekly, monthly and annual period.We can make more refinements by define a daytime period (07-19 hours) and a continuous operation (0-24 hours) of air handling units.Two distribution functions are shown in Fig. 1 and Fig. 2, in that a daytime (07-19 hours) period and nightly period (19-07 hours) can be seen.Any point of functions shows the hours and the percentage of the term when temperature or enthalpy of outdoor air was lower than the examined point.It follows that the τ tot term which concerns to the 100% distribution is equal to the reference period.By integral calculation the air handling process is taken into account in Mollier enthalpy chart.
Integral always can be calculated by the area under the functions during determination of cooling and heating energy consumption.In view of annual energy consumption operational costs can be calculated by knowledge of power and heat cost.

The physical and mathematical model
An air handling unit contains two main groups of elements: supply and exhaust units.The main parts of an air handling unit: filter, heat recovery unit, pre-heater, re-heater, cooler, by-pass, Integral always can be calculated by the area under the functions during determ of cooling and heating energy consumption.In view of annual energy consu operational costs can be calculated by knowledge of power and heat cost.3 The physical and mathematical model An air handling unit contains two main groups of elements: supply and exhau The main parts of an air handling unit: filter, heat recovery unit, pre-heater, re cooler, by-pass, adiabatic humidifier, fans [11,12].In this article determination of energy consumption in winter time is published in the case of a few air handlin (AHUs) that are built up from the above-mentioned elements.
The general connecting diagram of AHUs is shown in Fig. 3. Without heat re and by-pass a classical fresh air supplied AHU come into being.[10] adiabatic humidifier, fans [11,12].In this article determination of heating energy consumption in winter time is published in the case of a few air handling units (AHUs) that are built up from the above-mentioned elements.
The general connecting diagram of AHUs is shown in Fig. 3. Without heat recovery and by-pass a classical fresh air supplied AHU comes into being.The general connecting diagram of AHUs is shown in Fig. 3. Without heat recovery and by-pass a classical fresh air supplied AHU come into being.
-20 esh air supplied air handling unit with heat recovery, pre-heater and re-heater in winter time (FAS AHU) Fig. 5. Fresh air supplied air handling unit with heat recovery, pre-heater and re-heater in winter time (FAS AHU) Energy consumption of pre-heater: Energy consumption of re-heater: The areas shown in Fig. 5 are proportional to energy consumption of the elements of air handling unit and the energy saving of heat recovery.In a similar way there is possibility to set up a physical and mathematical model of other air handling unit.
τ tot term which concerns to the 100% distribution has to be used for air handling units that are in continuous operation (0-24 hours).Distributions that apply to half day have to be used for air handling units that are in intermittent operation (07-19 hours).The areas which are shown in Fig. 5 are proportional to energy consumption of the elements of air handling unit (PH, RH) and the energy saving of heat recovery (HR).
3.5 Air handling unit with pre-heater, air recirculation, adiabatic humidifier and re-heater (REC-AH AHU) The order of the air handling elements is: PH The air temperature after the adiabatic humidifier (t A ) can be determined by winter air handling process on Mollier h-x chart.Fig. 6 shows the energy consumption of air handling elements.The applied signs on Fig. 6 are the followings: t A ;˚C : air temperature after the adiabatic humidifier, t M ;˚C : air temperature after the air mixing.
Energy consumption of pre-heater: where: VP H ; m 3 /h : air flow rate in pre-heater Per.Pol.Mech.Eng.
Energy consumption of re-heater: VRH ; m 3 /h : air flow rate in re-heater The calculation of heating energy consumption can be seen in the above-mentioned air handling units.Energetic analysis can be made in any air handling units in a similar manner with the help of the presented physical and mathematical methods and equations.

Energy consumption of analyzed air handling units
The energy consumption of four air handling units were analyzed by the developed method.Energetic analysis was made in total heating season which takes from October until March and in the interest of exact energetic calculation was made particularly in a daytime period (07-19 hours) and a nightly period (19-7 hours).The four analyzed air handling units can be seen below: 1 Fresh air supplied AHU (FAS AHU) 2 Fresh air supplied AHU with heat recovery (FAS-HR AHU) 3 AHU with air recirculation and adiabatic humidifier (REC-AH AHU) 4 AHU with air recirculation and adiabatic humidifier and heat recovery (REC-AH-HR AHU) The heating energy consumption of the air handling units can be seen in the daytime and nightly period in Fig. 7 and Fig. 8.   Operation of the AHUs can be seen in Fig. 4 and during the calculation the supply air flow rate was 20 000 m 3 /h.

Conclusions
Outdoor air parameters randomly vary from minute to minute.These values can be regarded as a probability variable therefore energy consumption of air handling units can be determined by probability theory model.In the interest of energetic evaluation of AHUs a probability theory model was developed.The physical and mathematical model was made according to each air handling units.
The developed model is an appropriate method to determine energy consumption of air handling units in annual and in monthly period.Calculations can be made in reference to daytime operation (07-19 hours) and nightly operation (19-7 hours).The mathematical model is based on the distribution functions of outdoor air.These distribution functions can be found in the literature.During our research temperature and enthalpy distribution functions were used that are in reference to Budapest and were average of measured temperatures and enthalpy between 1964-1972.In consequence of changes in the microclimatic conditions outdoor air warming up can be noticed.In our department outdoor air parameters (temperature, humidity) are measured continuously.In this manner energetic analysis can be also made with the current outdoor air parameters.
On the basis of the new theoretical method it was possible to estimate the energy savings for each air handling unit to take into account heat recovery and heat recirculation.Daytime and nightly energy consumptions of the four air handling units have been analyzed by the developed methods from October until March.Results of energetic analysis are presented in Table 1.Results show that energy savings are significant and applying of air-recirculation and heat recovery energy saving can be 79%.

supplied air handling unit with heat recovery, pre-heater and re- ter (FAS-HR AHU) tion
Operation parameters of AHU with pre-heater and re-heater are shown on the distribution function of outdoor air temperature from October until March in Fig.5.The signs of the figure are the followings: parameters of AHU with pre-heater and re-heater are shown on the n function of outdoor air temperature from October until March in Fig.5.The e figure are the followings: (0-24 hours) and intermittent operation (07-19 hours).During the energy consumption calculation of fan and pump integration can be determined easily thereby values of the working point data ( VS , P t f ; Vwater , P t p ) are taken into consideration as constants.shair Tab. 1.Rates of energy savings from October until March (00-24 hours)