ELECTROMAGNETIC FIELD MEASUREMENT AND RISK ASSESSMENT OF HEAT COST ALLOCATION MEASURING SYSTEMS 1 SEMIH OZDEN, 2MEHMET Z. TUYSUZ, 3BAHRIYE S. ARAL, 4AYSE G.C. KURSUN, 5 NESRIN SEYHAN 1 Gazi University, Technical Sciences Vocational College, Dept. of Electronics and Automation, TURKEY 2 Gazi University, Faculty of Medicine, Dept. of Biophysics 3 Gazi Non-Ionizing Radiation Protection Center 1 4 Email: [email protected], [email protected], [email protected], [email protected], [email protected] Abstract: There is widespread application of the central heating system in apartment buildings. It helps to improve energy efficiency and to promote energy savings. The metering of the energy consumption commercially has been applied in two ways as hot water measurement or thermal energy measurement. The measurement with remote reading systems provides great advantages in terms of time and accuracy with Radio Frequency (RF) technology. RF communication technologies have applications in many areas to make our lives easier. On the contrary, RF devices such as cell phones, Wi-Fi, cordless phones increases exposure of electromagnetic fields. In this study, radiation level and risk assessment of the heat cost allocation measurement devices (HCAMD) were measured and discussed. According to the results of the totally 26 points electric field measurement, the value of the electromagnetic fields that can cause adverse health and biological effects have not been recorded. Keywords: Radio frequency, electromagnetic field, RF radiation, risk assessment, heat allocation measurement. to reduce energy consumption [4]. Installation of allocators increases the motivation of inhabitants to regulate indoor temperatures and thereby reduce heat consumption [6]. It is obvious that the cost allocation system increase efficiency and decrease waste energy usage. Data collection from occupants is current issue and develops many type of devices. The easiest way is to collect data via wireless technologies. The wireless technologies applied all area of our life last decades. It has several advantages to collect data remotely and gain mobility of the devices. In this topic, it helps reading consumption data without cable connection reduces time and mounting issues. Owing to technological advances, wireless communication systems have started to become a significant part in people’s daily lives. Most of these systems transmit electromagnetic radiation in the radiofrequency (RF) region (10 kHz–300 GHz) [7]. In the last 30 years, extensive research has been conducted into possible hazardous effects of exposure to radio frequency radiation on human health. All reviews conducted so far have indicated that exposures below the limits recommended in the International Commission on Non-Ionizing Radiation Protection [8]. Electromagnetic Field Guidelines, covering the full frequency range from 0 to 300 GHz, do not produce any known adverse health effect due to thermal change. Since 1990, the effects of extremely low frequency (ELF) magnetic and electric fields on the biological organisms have been investigated at the Biophysics Department of Gazi and Gazi Non-Ionizing Radiation Protection (GNRP) Center was founded in 2005. In these laboratories, application of RF fields, ELF magnetic and electric fields to biological systems, I. INTRODUCTION The individual accounting of thermal energy in residential buildings (heating, cooling, hot water) is considered a very essential tool for increasing energy efficiency. In fact, the availability of real time energy consumptions data, typical of smart metering, enables end-users to identify the causes of energy waste and to adopt adequate strategies to improve their energy efficiency [1]. The recent Energy Efficiency Directive considers heat metering and accounting as an effective tool to improve energy efficiency and to promote energy savings. From this perspective it requires individual metering or sub-metering systems to be mandatorily installed by December 31, 2016 in multi-apartments and multi-purpose buildings with a central heating/cooling source or supplied from a district heating network [2]. For the energy efficient heating system, as the local regulation, the use of thermostatic radiator valves (TRVs), which control the indoor air temperature by changing the flow of heating medium to the radiator, is recommended (in some countries – obligatory) [3]. Andersen et al. investigated impact of the using of the heat cost allocation in two apartment buildings on the indoor environment. Whereas the average temperature measured in apartments with collective heat cost allocation was 2.8 C higher compared to apartments with individual heat cost allocation [4]. The studies in the literature showed how significant energy savings can be achieved through changes and optimization of the occupant behavior. However, occupants will not change behavior if they are not motivated [5] and actions to motivate occupants and provide them with assessment tools seem necessary Proceedings of ISER 47th International Conference, Madrid, Spain, 28th -29th December 2016, ISBN: 978-93-86291-73-8 15 Electromagnetic Field Measurement and Risk Assessment of Heat Cost Allocation Measuring Systems dosimetry of ELF and RF fields and modeling, biological and health effects of ELF & RF radiation, methods of measurement of EMF are being investigated [9-15]. Based on our findings, it is strongly recommended that periodic EMF exposure measurements should be done to obtain understanding of workplace and living exposures and their sources. In this study, it was aimed to evaluate risk assessment of the wireless heat cost allocation systems. 1. 2. II. THE HEAT COST ALLOCATION MEASUREMENT DEVICE (HCAMD) In the Fig. 1, Alarko-Techem (Istanbul, Turkey) brand heat consumption measurement device is given. It has a LCD display to show current consumption in the front side. Other side, the RF antenna is located and other mounting parts for heater. The devices are mounted on the heat radiator send data every four minutes and it takes 0,7 second. It uses free band 868 MHz communication frequency. The first group measurements were performed for device(s) without any gap between device and measurement probe. The background EMF level was measured in the laboratory before starting assessment. It was kept minimum. a. Only one device b. Four devices c. Ten devices These measurements were performed in a real apartment per room. The background EMF level was measured before starting assessment. a. Nine devices were located rooms in the apartment. b. Nine devices were located rooms. Additionally, upper and lower floors nine devices were located for per floor. The measurements for the 1(a) was given in Fig. 1. For 1(b) four devices were located as given Fig. 2. The measurement probe was kept center of the HCAMD. Fig.1. The Heat Cost Allocation Measurement Device (HCAMD) III. ELECTROMAGNETIC FIELD MEASUREMENTS The measurements were conducted with Narda (Pfulingen, Germany) EMR-300 and 100 kHz - 3 GHz electric field probe in three steps. The measurements were conducted frequency selective device. Fig.2. The EMF measurement of four pieces of HCAMD Fig.3. The EMF measurement of ten pieces of HCAMD Proceedings of ISER 47th International Conference, Madrid, Spain, 28th -29th December 2016, ISBN: 978-93-86291-73-8 16 Electromagnetic Field Measurement and Risk Assessment of Heat Cost Allocation Measuring Systems IV. RESULTS AND DISCUSSION The measurements were conducted with calibrated Narda EMR-300 and 100 kHz - 3 GHz electric field probe. The EMF meter shows result as maximum, average and maximum average. The average values were evaluated for 6 minutes. These values recorded by EMF meter with PC application. Results were given in Table 1. The background EMF levels presents in the “Without Device” column. Last group column as “Difference %” presents EMF level variation between background and EMF level with device as percentage. Results show that devices increase EMF level in the environment. The big differences were measured in the Step 1. It is clear that the EMF level were increased by increasing number of devices. In the Step 1c, ten pieces were located adjacently and 243% difference were occurred. In the apartment (Step 2) the differences were measured less than Step 1. The biggest variation was observed in the Step 2b, Room 3 as 25%. Fig.4. The plan of the apartment conducted measurement Measurement Without Device With Device Difference (%) Step Point Max Av. Max. Max Av. Av. Max. Av. Av. Max. Av. 1a Device 0,44 0,20 0,22 1,24 0,21 0,24 181,82 5,00 9,09 1b Device 0,44 0,20 0,22 1,48 0,30 0,31 236,36 50,00 40,91 1c Device 0,44 0,20 0,22 1,51 0,32 0,34 243,18 60,00 54,55 Room 1 0,35 0,21 0,24 0,36 0,22 0,25 2,86 4,76 4,17 Room 2 0,37 0,23 0,23 0,41 0,25 0,25 10,81 8,70 8,70 Room 3 0,36 0,26 0,27 0,38 0,28 0,28 5,56 7,69 3,70 Room 4 0,41 0,31 0,33 0,44 0,33 0,34 7,32 6,45 3,03 Room 5 0,41 0,25 0,25 0,42 0,27 0,27 2,44 8,00 8,00 Room 1 0,35 0,21 0,24 0,37 0,24 0,28 5,71 14,29 16,67 Room 2 0,37 0,23 0,23 0,46 0,29 0,31 24,32 26,09 34,78 Room 3 0,36 0,26 0,27 0,45 0,31 0,31 25,00 19,23 14,81 Room 4 0,41 0,31 0,33 0,47 0,38 0,38 14,63 22,58 15,15 Room 5 0,41 0,25 0,25 0,46 0,28 0,28 12,20 12,00 12,00 2a 2b Max Proceedings of ISER 47th International Conference, Madrid, Spain, 28th -29th December 2016, ISBN: 978-93-86291-73-8 17 Electromagnetic Field Measurement and Risk Assessment of Heat Cost Allocation Measuring Systems 5. To sum up, it is obvious that the device increases EMF value of the environment. The EMF level cause adverse health and biological effects have not been recorded.Although some epidemiologic studies were performed several decades ago on ELF-MFs electromagnetic fields in residential places, the biological and health effects of ELF-MFs in humans and exposed field levels are still an emerging area of investigation. To minimize the risk of adverse health effects, ELF-MFs must be in compliance with the international recommendations. GNRP and Gazi Biophysics recommends that occupational exposure standards considering the precautionary principle relating to adverse health effects should promptly be legislated in Turkey and throughout the world. 6. 7. 8. 9. 10. ACKNOWLEDGMENTS Electromagnetic Field measurement devices used in this study were supplied by a grant from Gazi University Research Foundation, No: 31 / 2002-07. 11. REFERENCES 12. 1. 2. 3. 4. G. Ficco, L. Celenza, M. Dell’Isola, and P. 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