TRANSILVANIA UNIVERSITY OF BRASOV ROMANIA ELECTRICAL ENGINEERING AND

TRANSILVANIA UNIVERSITY OF BRASOV, ROMANIA ELECTRICAL ENGINEERING AND COMPUTER SCIENCE RESEARCH DEPARTMENT: SYSTEMS FOR PROCESSES CONTROL Dr. Ing. Catalin Bujdei Prof. Dr. Ing. Sorin-Aurel Moraru Ensuring comfort in office buildings Designing a KNX monitoring and control system The 7 th International Conference on Intelligent Environments 25 -28 July 2011, Nottingham, United Kingdom

Content City, University and Genius Campus The main research project Comfort demands Employee eficiency Comfort Thermal comfort Visual comfort Acustic comfort Air quality comfort Long term comfort KNX automation system Page 2 WSN network node

Brasov city core of the country old cultural city, hosting the first school in Romanian multinational and multilingual area (romanian, hungarian, german citizens) Page 3

Transilvania University of Brasov, Romania State University, founded in 1948 “Full Confidence” in the national evaluation Ranked among the first at national level for Research of Excellence Extended cooperation with European universities Page 4

Transilvania University of Brasov, Romania Page 5

Genius Campus – the new Institut Phase 2 Phase 1 RTD Institute (Structural Founds) The Solar Park (RTD Projects) Page 6 Phase 2 Education Area (Regional Founds) Students Facilities (Governmental & Regional Founds) Phase 3 Business Centre ( Structural. Founds) Clusters research providers + + research direct and indirect beneficiaries Technology Transfer

Genius Campus – the new Institut September 2009 April 2010 May 2011 March 2011 Page 7

The main research project Main goals: – implement a wireless sensor network (WSN) for ambient conditions monitoring and control – integrate building systems together (central information storage, monitor and control) – increase the energy efficiency – increase the comfort of the occupants at the end of the work a comparison could be made for determine the efficiency of the obtained results Page 8

Comfort demands - evolution present (complex life style) long time ago … future (simple life style) (more complex life style) Page 9

Employees efficiency a person could accomplish successfully its activities as long there are no external factors which to disturb him (e. g. heat, cold, noise, low air quality) if the comfort is satisfied also the maximum efficiency of the employees is ensured a low decrease in employees efficiency for a big company represents a huge lost of time and money Page 10

Employees efficiency At a new office building design – the initial cost and energy efficiency are the first points analyzed – the people’s comfort (with influence to their productivity) is less discussed As observations: – people spend 80 -90% of the time from their lives indoor – the lighting, heating, air conditioning, ventilation systems ensure comfort to the occupants of the building – it is not possible to reach the highest level of comfort, since could not exist a maximum for it, but we could make one step further into the future and create better conditions for our indoor lives Page 11

Comfort characteristics comfort = all existent conditions from a space for which a person will not prefer a different space with other conditions ISO 7730 defines thermal comfort as that condition of mind which express satisfaction with thermal environment (thermal neutrality – when a person doesn’t feel too warm, either too cold) comfort = a complex concept that depends on a set of external and internal factors. Maybe it is easier to define what it means, but it is more complicated to convert the definition into physical parameters and establish relations between them (create equations that will permit a mathematical analysis) Page 12

Comfort types The indoor comfort could be described from multiple points of view: – thermal: temperature, humidity and air velocity (very import type of comfort) – visual: light intensity and other factors which could influence a person view – acoustic: maximum level of noise or repeatable noise – air quality: parameters which characterize the air conditions and are suitable for respiration and human health (e. g. oxygen level, pollutions level) – stability: without uncomfortable movements, vibrations or shocks; – security comfort: feel safe at the working place; – daily timetable: a constant daily timetable will not influence the life habit; – economical factors: the fear of insufficient funds for proper living. A person could feel comfortable from some points of view but uncomfortable from other points of view. Page 13

Thermal comfort directly dependent on temperature, humidity and air velocity parameters Markus and Morris, would describe thermal comfort with the following parameters: – physical parameters: air temperature, radiant temperature, relative humidity, air velocity, atmospheric pressure and light intensity; – organic parameters: age, sex, national characteristics; – external parameters: activity type, clothing type, social conditions. many studies have been done on thermal comfort and how it is possible to define it into a mathematical form Page 14

Thermal comfort – mathematical form first mathematical model used for estimate thermal comfort was proposed by Fanger, 1970. He started from the equilibrium equation (how the human body maintain the heat balance). Heat produced by the body = Heat lost by the body Page 15

Thermal comfort – mathematical form Seppanen made a study to determine the influence of temperature to the health and productivity. The analyze concluded that exists about 2% decrement in work performance per 1 °C increment when the temperature is above 25 °C the 21 to 25°C temperature range is considered to be the range of temperatures comfortable according to thermal comfort standards. from the experiments analyzed it resulted that the range should be 22 to 25°C, and that the lower values have better impact to thermal comfort. The quality of the air could be better preserved at lower values of temperature. For this reason we will consider an initial value of 23. 5 °C for our experiments and calculations. Page 16

Thermal comfort – ISO 7730 standard, PMV The ISO 7730 standard proposed to use 2 parameters for estimating thermal comfort level: – PMV (Predicted Mean Vote) – defined from Fanger balance equation • [-3, 3]; the negative values presume that it is discomfort caused by a cold sensation, and the positive values suggest discomfort caused by a hot sensation. Parameters: metabolic rate (M, met), effective mechanical power (W, W/m 2) , clothing area factor (fcl ), clothing surface temperature (tcl, °C), heat convective transfer coefficient (hc, W/m 2/°C) , partial water vapor pressure in the air (pa, Pa), air temperature (ta, °C), thermal resistance of clothing (Icl, clo), mean radiant temperature (tmr, °C). Page 17

Thermal comfort – ISO 7730 standard, PMV – PMV (Predicted Mean Vote) • seven-point ASHRAE thermal sensation scale – Fig. 2): hot (+3), warm (+2), slightly warm (+1), neutral – thermal comfort (0), slightly cold (-1), cool (-2), cold (-3) – It is recommended that the value of the PMV parameter to be somewhere into the interval between -0. 5 and 0. 5. – usually into a closed space (room) it is not a constant value of the PMV parameters in all the subareas, but distinct values according to different factors, since the characteristic parameters don’t have constant values. Page 18

Thermal comfort – ISO 7730 standard, PPD – PPD (Predicted Percent of Dissatisfaction) • the percent of people which feel the sensation of discomfort • when PMV has a 0 value, PPD will have a value of 5%. it is impossible to ensure thermal comfort for all the people, because of the existing differences between them (e. g. activities, clothing and metabolism). – The goal is to ensure thermal comfort for as many people as possible. Page 19

Thermal comfort Page 20

Thermal comfort – local discomfort Page 21

Thermal comfort – ISO 7730 standard, PMV, PPD – The studies realized by ASHRAE (American Society of Heating, Refrigerating and Airconditioning Engineers Inc. ) have concluded that the PMV parameter could be used to determine the neutral (comfort) temperature with a margin of error of 1. 4 °C. – As many other studies presented, there could be a difference between the comfort established using the PMV and PPD indices and real life felt comfort. – For this reason we consider that thermal comfort should be establish in 2 distinct steps (solution which to be used together with the KNX system and WSN): • computing using the models - determination of ambient parameters which should ensure the minimum PPD value; • calibration - the variation of the ambient parameters according to the occupancies opinion until a point of equilibrium could be found (where the most of people feel comfortable in that ambient conditions). Page 22

Thermal comfort – PMV, PPD indices calculation Matlab application: – M =1. 2 met = 69. 78 W/m 2; – W= 0 W/m 2; – fcl = 1. 15; – hc = 6. 0 W/m 2/°C; – Icl = 1. 0 clo = 0. 155 m 2°C/W; – φa = 45% (relative humidity; it permits to calculate the pa parameter value); – ta = 23. 5 °C; – we approximate tmr = ta + 2 °C = 25. 5°C. PMV = 0. 0403 PPD = 5. 0336 thermal comfort could be ensured into the office space with these parameters values (at least from mathematical equations). Page 23

Visual comfort – it is necessary to ensure a normal level of light intensity. – inside an office space most activities involve the use of a computer. From this point of view it is necessary to ensure an equilibrate contrast between the screen light and the light from the ambient. – It is also important to not have flashing lights which could distract the attention and which could produce rapidly tiredness. Since most of the activities from an office suppose a short distance focus of the eye, it is important to have the possibility to change this distance – very important for the health of the human eye. Page 24

Acoustic comfort Noise is represented as a negative sound and it’s always unwanted. Inside an office space, it is important to have a low level of noise. In this way the occupancies will be able to achieve their activities more easily without being distracted. It has been determined, from our own observations or studied papers, that into the office spaces could be presented the next types of noise sources: external noise: refers to the noise raised from outside building sources. This type of noise could be determined by the road traffic, industrial machines, community activities, etc. Page 25 inside noise: refers to the noise produced by the installations . (systems) or equipment from inside the building. .

Acoustic comfort - NPD Clausen defined a mathematical equation for the acoustic discomfort. NPD (Noise Percentage Dissatisfied) – x, class of noise [d. B] when NPD < 20% -> comfortable. Page 26

Air quality comfort - QPD The quality of the air ensures that the human body performs properly and a person is able to accomplish its activities in normal conditions. If the quality of the air is low it could appear health affections, but also fatigue and decrease of concentration. QPD – Air Quality Percentage Dissatisfied – CO is the perceived value of outdoor air quality [decipol]; – G is intensity of indoor air pollution [olf]; – Q is the flow rate of fresh air [l/s]. Page 27

Air quality comfort - QPD Ilinois Department of Public Health (IDPH) created guidelines to be followed for ensuring indoor air quality (these are not mandatory but recommended). A part of guidelines have been defined also by the ASHRAE Organization. Page 28

Air quality comfort - parameters Humidity and Temperature: The humidity is considered to be acceptable somewhere in the interval of values of 30 -60 percent indifferent of the season time. For summer it is recommended a temperature of the air of 23 -26 °C and in the winter of 20 -24 °C. Carbon dioxide: Carbon dioxide is a constituent of the exhaled breath and it is normal that in closed spaces with low ventilation and many occupancies the value of the carbon dioxide to increase. Into the outdoor environment the normal value is somewhere between 300 -400 ppm (parts per million). Carbon monoxide: Carbon monoxide is produced usually during the incomplete combustion And its property of being colorless and odorless makes it hard to detect by a person. Into an office area the normal values of this parameter are considered to be between 0 -5 ppm. Hydrogen Sulfide Its normal value, into a building, is under 0. 01 ppm. A higher value can be detected by the people inside the building (it has an easy detectable odor). Ozone The normal level of ozone is under 0. 08 ppm. Particles (dust) Page 29

Long term comfort refers to all the factors that could affect a person after a longer period of time. Into an office space the long term discomfort could be determined by electromagnetic radiation produced by different equipment (wireless communication), continuous repeatable noise, pollutants presence (even they are not perceptible by smell), the continuous presence of cold, toxic behavior of the building construction materials, etc. Page 30

CPD index CPD (Comprehensive Percentage Dissatisfied) – for comfort evaluation, according to thermal factor, noise and indoor air quality TPD – Thermal Percentage Dissatisfied (same as PPD) NPD – Noise Percentage Dissatisfied QPD – Air Quality Percentage Dissatisfied α 1 = 0. 6738, α 2 = 0. 1007, and α 3 = 0. 2255 (determined by gradation analyze) The CPD index varies in the interval of values 3. 37 and 100: • < 20, comfortable; • 20 – 40, little uncomfortable; • 40 – 60, some uncomfortable; • 60 – 80, uncomfortable; • 80 – 100, very uncomfortable Page 31

KNX automation system KNX system, a small part of a BMS (Building Management System) integrate the KNX system with a Wireless Sensor Network (WSN) - both of them could monitor parameters and control different systems. the sensor nodes of the WSN network are still under developing. They should be able to compute aproximatively the comfort indices PMV, PPD, NPD, QPD and CPD. Page 32

KNX automation system – configurable classroom – the cost of the KNX system is quite high but after installation it should produce an increase of the comfort and decrease of the energy consumption. – another advantage of this type of system is that it could be easily reconfigured. It is possible to save different configuration (scenes) into the system memory and load them for specific usage situations. Page 33

KNX automation system the main components of the KNX system: – 24 V Voltage Source; – USB Interface; – KNX acting devices; – KNX access panel; – movable partition wall; – Blinds; – lighting; – light intensity and movement detection sensors; – heating. Page 34

WSN node (end device) based on Arduino and Xbee modular, easy reconfigurable, low cost could be used with sensors or actuators auxiliary boards (monitoring and control) Page 35

Thank you for your attention! questions Page 36 sugestions