About
General
Title
Elaboration of IT solutions for optimization of heat and power supply system Thermal-electrical control systems of Moscow city with application of methods of machine learning for increase of power efficiency and reductions of harmful emissions emissions reduction.Goals and objectives
Development of IT solutions to optimizse the energy system of of a smart city with application of machine learning methods to reduce harmful emissions. The following will be developed decision making tools to optimize the CHP, heating system of the city and the control system of resource resource consumption of an apartment building.Expected results
RP-3 will be developed: a decision-making tool for the optimal selection of the composition of the generating equipment of the CHP; a model of the heat network city heating network model based on telemetry big data analysis; information-computer system for optimal modes of operation of the heat and power sector using modern methods on the basis of the Virtual Power Plant; a prototype system for resource consumption management based on the example of a multi-family residential building; information and computer system for calculating the optimal modes of operation of the heat and power of an apartment building; information and computer system modules for the analysis of energy efficiency, losses emissions, identification of blind spots in the telemetry system, modeling of the stochastic consumption profile consumption.Details
Today, Astana IT University conducts research in the IT field in multidisciplinary areas: smart systems and technologies, digital twins, EdTech, FinTech, AgroTech and energy systems One of them is the "Smart City" project aimed at development of urban infrastructure, which aims to improve the quality of life of citizens by improving the transport infrastructure, development of environmental conditions, efficient use of energy resources and implementation of predictive analytics principles of data for decision-making in the concept of Smart City. One of the tasks of the scientific project is to develop a biotechnological filter based on a biological agent to clean polluted air in Nur-Sultan, as well as to create a favorable environment for the surrounding area.
The main natural component in the biotech filter is moss. Mosses can have a huge positive effect on the environment: they absorb fine dust particles, actively absorb gas, including CO2 and NO, while releasing oxygen. Mosses are characterized by a high sanitary and hygienic effect, due to their antibacterial and septic influence on the environment. The technology of moss cultivation (irrigation, temperature, humidity, nutrition) in a closed system is provided by automating processes using IoT technology. The developed air purification system has not only an environmental effect, but also a social one. The engineering solution has been designed in terms of design and convenience for the citizens.
One more task of the project is analytics of big data, which is collected in different information systems of the city on the basis of which it is necessary to make direct conclusions what projects of the city it is necessary to develop. Where it is necessary to build a school, a hospital, a store, a fire station or expand, optimize the city's road interchanges, and possibly launch an additional bus route. The sharing economy has been expanding in recent decades, especially among the under-35 age group. According to a Goldman Sachs study, this service is most popular among millennials. One in three (35%) millennials worldwide is willing to rent a car for short periods of time. Developments in energy system modeling using machine learning will help the city identify potential places to reduce losses and increase energy efficiency. To optimize the consumption of various resources (electricity, water, heat, etc.) it is important not only the efforts of the akimat, but also the need for massive involvement of residents. The concept of Smart Home is being developed by large companies that are not able to integrate new sensors from other manufacturers. A prototype resource management system is being developed for a residential house, which will integrate different devices (leakage sensor, video camera, smart sockets, meters, smart locks, etc.) into one system. Monitor and control it via phone.
Publications
| № | Year | Article | Journal |
|---|---|---|---|
| 1 | 2021 | Z. Nurlan, T. Zhukabayeva, M. Othman and A. Adamova, "Resource Allocation approach for Optimal routing in IoT Wireless Mesh Networks"// IEEE Access(Q1). https://doi.org/10.1109/ACCESS.2021.3123903 | Scopus Q1,WoS Q2 |
| 2 | 2022 | Omirgaliyev, R., Zhakiyev, N.*, Aitbayeva, N., Akhmetbekov, Y. (2022). Application of machine learning methods for the analysis of heat energy consumption by zones with a change in outdoor temperature: Case study for Nur-Sultan city. International Journal of Sustainable Development and Planning, Vol. 17, No. 4, pp. 1247-1257. https://doi.org/10.18280/ijsdp.170423 | Scopus, Q2, 55% |
| 3 | Zhakiyev, N.*, Kalenova, A., & Khamzina, A. (2022). The Energy Sector of the Capital of Kazakhstan: Status Quo and Policy towards Smart City. International Journal of Energy Economics and Policy, 12(4), 414–423. https://doi.org/10.32479/ijeep.13126 | Scopus Q1, 90% | |
| 4 | Z. Nurlan, T. Zhukabayeva, M. Othman, A. Adamova and N. Zhakiyev, "Wireless Sensor Network as a Mesh: Vision and Challenges," in IEEE Access, vol. 10, pp. 46-67, 2022 https://doi.org/10.1109/ACCESS.2021.3137341 | Scopus Q1, WoS Q2 | |
| 5 | A. Satan, A. Khamzina, D. Toktarbayev, Z. Sotsial, I. Bapiyev, N. Zhakiyev. “Comparative LSTM and SVM Machine Learning Approaches for Energy Consumption Prediction: Case Study in Akmola” 2022 International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, 28 April 2022. (indexed in IEEE, Scopus) | Scopus | |
| 6 | B. Akhmetzhanov, A. Omar, Z. Nurlan, N. Zhakiyev “Integration of a Video Surveillance System into a Smart Home Using the Home Assistant Platform” 2022 International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, 28 April 2022, (indexed in IEEE, Scopus) | Scopus | |
| 7 | Nurlan, Z; Zhukabayeva, T; et.al. Fault Node Detection for Wireless Sensor Network Based on Machine Support Vectors. MDPI Sensors. Submitted: 05.05.2022. Q2. | WoS Q2 | |
| 9 | Arkhipkin O. et al. "Possibilities of automation of decentralized heat production of Nur-Sultan through the transition to RES" Bulletin of the AUES (August 2022). submitted to the journal KOKSON | KOKSON |
Meet the team
Zhakiev Nurkhat Kuandykovich
Head of Subtask RP-3. He is engaged in computer modeling of energy systems, predicting industrial greenhouse gas emissions, and climate change mitigation analytics. His main research topic is mathematical and computer modeling of physical processes, optimization and matrix algebra methods, and modeling in the GAMS environment. h-index=4, https://www.scopus.com/authid/detail.uri?authorId=56043145000
Balzhan Azibek
Master in Electrical and Computer Engineering
Balzhan Azibek received the B.Sc. degree and M.Sc. degree in Electrical and Computer Engineering at Nazarbayev University, Kazakhstan. In B.Sc. shestudied the power generaton and distribution. She mastered her research skills in higher education. Her research area includes game theory approaches in power system modeling. Currently, she works as a teacher at Astana IT University, Kazakhstan.
Oleg Arkhipkin
Master of Applied Physics and Mathematics
Education: Moscow Institute of Physics and Technology 2002 - 2008, Master of Applied Physics and Mathematics, member of the Coordinating Council for Renewable Energy Development of the Ministry of Energy of the Republic of Kazakhstan (Order of the Minister of Energy of the Republic of Kazakhstan № 304 of 07.07.2016); member of the KAZENERGY Association Energy Council. Years at the Firm: 01/2021 - present - Zhasyl Damu JSC, 11/2019 - 08/2020 - ICZTIP NJSC, 07/2011 - 07/2019 - Kazakh Institute of Oil and Gas JSC, 07/2010 - 01/2011 - Speclabpribor A LLP, 04/2009 - 04/2010 - NAC Kazatomprom JSC, Awards: Medal of KAZENERGY Association for contribution to the development of the oil and energy sector of Kazakhstan. The Best Innovation Expert of 2012
Aidos Satan
Master's degree student at University of Genova in Energy Engineering
He was born on May 18, 1999 in Kazakhstan, city Shymkent. He has attained Bachelor’s degree in Electrical and Electronic Engineering at Nazarbayev University. Currently, he is Master’s degree Energy Engineering student at University of Genova and works as a Junior Researcher at Astana IT University.
Nurlan Zhanserik
Ph.D. candidate in Computer Science
Education: doctoral studies at ENU. L.N. GUMILEV Head of Laboratory FabLab / Junior Research Fellow of the Scientific Research Center "Industry 4.0" Senior Research Fellow of the PCF "Development of intelligent information and telecommunication systems for urban infrastructure: transport, ecology, energy and data analytics in the Smart City concept" 2021-2023, in the section "IT for optimizing the heat and power system". Researcher at the Research Center "Industry 4.0". Member of the Industry Center for Technological Competence "E-Industry". Member of the Research Center "Samsung Research" in the field of 5G and 6G. Years with the Firm: 09/2022 - present - Astana IT University (AITU)
Kenzhina Madina
Bachelor's degree, Electrical and Electronics Engineering
A graduate of Electrical and electronic engineering undergraduate program Nazarbayev University 2019, specialization in Power Engineering. She has several publications, dedicated to the study of the reliable operation of the power system, the feasibility of implementing a virtual power plant in Kazakhstan. Currently the leading engineer of KEGOC JSC. Business profile: operation of active-adaptive systems of the Unified Energy System of Kazakhstan (ARCHM, WAMS, etc.).
Toksanov Sapar
MA in Computer Science, PhD, AITU Fellow h-index=2 https://www.scopus.com/authid/detail.uri?authorId=57222154960
Ayagoz Hamzina
Khamzina Ayagoz Saktagankyzy was born in 1994, November 25 (25.11.1994) in Uralsk, Kazakhstan. In 2012 she graduated from secondary general school № 2 and entered the Kazakh National University on a specialty "chemist-technologist". In 2016 she received a master's degree in technical sciences. She began her career as a student as a junior researcher at the Research Institute of combustion problems. In the course of her scientific activities she improved the technology of obtaining environmental water-soluble polyurethane paints. In 2017, she completed an internship at the Łódź Polytechnic University of Lodz, Poland. In 2018, she participated in a conference on sustainable development, organized by the UN at its headquarters in New York. Practiced at leading companies involved in oil refining, such as Karachaganak Petroleum Operated, Atyrau Oil Refinery. At she is currently a junior researcher in the Department of Science and Innovation at AITU.