The study of the radiating module of the energy management system of buildings


  • V.I. Magro Dnipro University of Technology, Ukraine
  • S.V. Plaksin Institute of Transport Systems and Technologies of National Academy of Sciences of Ukraine, Ukraine



energy management, control system, smart home, radiating module, triangular microstrip antenna, reflection coefficient module, radiation characteristics


Purpose. Improving the toolkit of interaction between sensors and the building control system using a triangular microstrip antenna.

Methodology. Mathematical modeling by the method of finite differences in the time domain.

Findings. The proposed technical solution consists in choosing the optimal design of the radiating module in the form of a triangular microstrip antenna, by means of mathematical modeling, the values of the geometric dimensions of the triangle, the thickness of the dielectric layer and the value of its dielectric constant, the overall dimensions of the radiating module, which ensure optimal coordination of the antenna with the power feeder in the form of a microstrip line. The developed computer model of the triangular microstrip antenna using the finite-difference method in the time domain allows conducting research on the parameters of this antenna that provide stable wireless communication between the system of sensors and the home automation control unit. The condition for increasing the degree of matching the impedance of the antenna and the supply line  is the choice of the method of powering the antenna. It was established that the most optimal way of feeding a triangular antenna is the method of connecting the microstrip line to the middle of the side of the triangle, compared to the way of connecting the power line to the top of the triangle. The width of the microstrip power line was optimized according to the criterion of minimizing the module of the reflection coefficient at the antenna input. A study of the degree of matching the impedance of the antenna at operating frequencies of 2,4 and 7 GHz was carried out. At a frequency of 7 GHz, the magnitude of the reflection coefficient module is -23,6776 dB. The three-dimensional and two-dimensional radiation patterns of this antenna are calculated. The radiation pattern has an almost spherical shape, that is, it allows placing the radiating module in any orientation relative to the earth's surface. This allows the triangular microstrip antenna to be used as a radiating module of the building energy management system and the smart home system.

Originality. The study of the ways of feeding the triangular microstrip antenna allows to find the optimal coupling of the antenna with the power line, which ensures the formation of radiation characteristics that ensure effective interaction between the sensors and the building's energy management control system.

Practical value. The radiation characteristics of a triangular microstrip antenna obtained as a result of the study make it possible to use it to organize a wireless communication channel in a 4% operating frequency band.

Author Biographies

V.I. Magro, Dnipro University of Technology

PhD, Associate Professor, Associate Professor of Department of Information Security and Telecommunications of the Dnipro University of Technology, Dnipro, Ukraine

S.V. Plaksin, Institute of Transport Systems and Technologies of National Academy of Sciences of Ukraine

Dr. Sc., senior researcher, Head of the Department of Control Systems of the Institute of Transport Systems and Technologies of National Academy of Sciences of Ukraine, Dnipro, Ukraine


Jang H., Kang B., Keonhee C., Jang K., Park S. (2019). Design and implementation of IoT-based HVAC and lighting system for energy saving. Proceeding of MATEC Web of Conferences, 02012. DOI: 10.1051/matecconf/201926002012

Naqbi Al A., Alyieliely S. S., Talib M. Abu, Nasir Q., Bettayeb M., Ghenai C. (2021). Building energy management systems using the Internet of Things: systematic literature review. Proceeding of Interna-tional Symposium on Networks, Computers and Communications (ISNCC), 1-7. DOI: 10.1109/ISNCC52172.2021.9615641

Dhanalakshmi S., Poongothai M., Sharma K. (2020). IoT based indoor air quality and smart en-ergy management for HVAC system. Procedia Computer Science, 1800-1809. DOI: 10.1016/j.procs.2020.04.193

Vishwakarma S. K., Upadhyaya P., Kumari B., Mishra A. K. (2019). Smart energy efficient home automation system using IoT. Proceeding of 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 1-4. DOI: 10.1109/IoT-SIU.2019.8777607

Chen Y.-Y., Lin Y.-H., Kung C.-C., Chung M.-H., Yen I.-H. (2019). Design and implementation of cloud analytics-assisted smart power meters con-sidering advanced artificial intelligence as edge analytics in demand-side management for Smart Homes. Sensors, 19(9), 2047. DOI: 10.3390/s19092047

Monteiro V., Pinto J. G., Afonso J. L. (2016). Opera-tion modes for the electric vehicle in Smart Grids and Smart Homes: present and proposed modes. IEEE Transactions on Vehicular Technology, 65(3), 1007-1020. DOI: 10.1109/TVT.2015.2481005

Rischke J., Sossalla P., Itting S., Fitzek F. H. P., Reis-slein M. (2021). 5G campus networks: a first measurement study. IEEE Access, 9, 121786- 121803. DOI: 10.1109/ACCESS.2021.3108423

Korolev N., Levitsky I., Khorov E. (2022). Analyti-cal model of multi-link operation in saturated het-erogeneous Wi-Fi 7 networks. IEEE Wireless Communications Letters, (12), 2546-2549. DOI: 10.1109/LWC.2022.3207946

Damacharla P., Javaid A. Y., Gallimore J. J., Devabhaktuni V. K. (2018). Common metrics to benchmark human-machine teams (HMT): a re-view. IEEE Access, 6, 38637-38655. DOI: 10.1109/ACCESS.2018.2853560

Hassan Q. F. (2018). Introduction to the Internet of Things. Internet of Things A to Z: Technologies and Applications. IEEE, 50. DOI: 10.1002/9781119456735.ch1

Osamy W., Khedr A. M., Salim A. (2019). ADSDA: adaptive distributed service discovery algorithm for Internet of Things based mobile wireless sensor networks. IEEE Sensors Journal, 9(22), 10869-10880. DOI: 10.1109/JSEN.2019.2930589

Lee K.-Y., Chu Y.-M., Chen C.-C., Tsai C.-L., Lou S.-J. (2019). Case analysis on energy saving im-provement of commercial air conditioning sys-tems. Proceeding of. IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), 1-6. DOI: 10.1109/ECICE47484.2019.8942775

Thongkaew S., Charitkuan C. (2018). IoT for en-ergy saving of split-type air conditioner by control-ling supply air and area temperature. Proceeding of 22nd International Computer Science and En-gineering Conference (ICSEC), 1-4. DOI: 10.1109/ICSEC.2018.8712656

Tastan M., Gökozan H. (2018). An Internet of Things based air conditioning and lighting control system for Smart Home. American Scientific Re-search Journal for Engineering Technology and Sciences, 181-189.

Murthy K. S., Herur P., Adithya B. R., Lokesh H. (2018). IoT-based light intensity controller. Pro-ceeding of International Conference on Inventive Research in Computing Applications (ICIRCA), 455–460. DOI: 10.1109/ICIRCA.2018.8597416

Gupta A. K., Johari R. (2019). IOT based electrical device surveillance and control system. Proceeding of 4th International Conference on Internet of Things: Smart Innovation and Usages, 1-5. DOI: 10.1109/IoT-SIU.2019.8777342

Intarungsee I., Thararak P., Jirapong P., Pengwon K, Kaewwong S. (2022). Intelligent Internet of Things using artificial neural networks and Kal-man filters for energy management systems. Pro-ceeding of International Electrical Engineering Congress (iEECON), 1-5. DOI: 10.1109/iEECON53204.2022.9741649

Bhatnagar H. V., Kumar P., Rawat S., Choudhury T. (2018). Implementation model of Wi-Fi based Smart Home system. Proceeding of International Conference on Advances in Computing and Communication Engineering (ICACCE), 23-28. DOI: 10.1109/ICACCE.2018.8441703

Song E. Y., FitzPatrick G. J., Lee K. B., Griffor E. (2022). A methodology for modeling interoperabil-ity of Smart Sensors in Smart Grids. IEEE Trans-actions on Smart Grid, 13(1), 555-563. DOI: 10.1109/TSG.2021.3124490

Magro V.I., Plaksin S.V. (2021). Komp'yuterne modelyuvannya vyprominyuvalʹnoho modulya systemy monitorynhu sonyachnoyi el-ektrostantsiyi [Computer modeling of the radia-tion module of the solar power plant monitoring system]. Vidnovlyuvalʹna enerhetyka. 64, 2, 29-37. (in Ukrainian) DOI: 10.36296/1819-8058.2021.2(65).29-37

jMorello R., Capua C. De, Fulco G., Mukhopadh-yay S. C. (2017). A smart power meter to monitor energy flow in Smart Grids: the role of advanced sensing and IoT in the Electric Grid of the future. IEEE Sensors Journal, 17(23), 7828-7837. DOI: 10.1109/JSEN.2017.2760014

Haque M. E., Islam M. R., Rabbi M. T. F., J. I. Rafiq M. T. F. (2019). IoT based home automa-tion system with customizable GUI and low cost embedded system. Proceeding of International Conference on Sustainable Technologies for In-dustry 4.0 (STI), 1-4. DOI: 10.1109/STI47673.2019.9068035

Ramani U., Rumar S. S., Santhoshkumar T., Thilagaraj M. (2019). IoT based energy manage-ment for Smart Home. Proceeding of 2nd Interna-tional Conference on Power and Embedded Drive Control (ICPEDC), 533-536. DOI: 10.1109/ICPEDC47771.2019.9036546

Singh H. K., Verma S., Pal S., Pandey K. (2019). A step towards home automation using IOT. Pro-ceeding of Twelfth International Conference on Contemporary Computing (IC3), 1-4. DOI: 10.1109/IC3.2019.8844945

Harini V., Sairam M. V., Madhu R. (2020). Per-formance analysis of an extended Sierpinski gas-ket fractal antenna for mm wave femtocells ap-plications. International Journal of Engineering and Advanced Technology, 8, 1-9. DOI: 10.1007/s11277-021-08289-3

Vallappil A. K., Khawaja B. A, Rahim, M. N. Iqbal M. K. A., Chattha H. T. (2022). Metamaterial-inspired electrically compact triangular antennas loaded with CSRR and 3 × 3 cross-slots for 5G in-door distributed antenna systems. Micromachines, 13, 1-9. DOI: 10.3390/mi13020198

Pozar, D.M. (2005). Microwave Engineeringd. N.Y.: Wiley, 736. DOI: 10.4236/ojapps.2022.125044



How to Cite

Magro, V., & Plaksin, S. (2023). The study of the radiating module of the energy management system of buildings. Electrical Engineering and Power Engineering, (4), 15–23.