Technoeconomics

UNK RUS 4-14 Al-Farabi Kazakh National University Gabitova Zarina

Almaty, Kazakhstan

Analysis of methods for reducing harmful emissions from coal-fired power stations using computational modeling techniques The coal-fired power industry is a significant source of environmental pollution. Nowadays, thermal power plants mostly use coal as fuel. As a result, combustion produces nitrogen oxides, leading to stricter requirements for the energy industry. This research is devoted to heat and mass transfer processes during pulverized coal combustion with the use of OFA technology to reduce harmful emissions. The authors developed the geometry and partitioning of the computational domain into control volumes and generated a mathematical model of pulverized coal flame. Based on the results of computational experiments, a graphical interpretation of the obtained results and their verification was carried out, allowing the authors to confirm that the introduction of OFA technology can significantly reduce the amount of nitrogen oxides. 10.57809/2024.3.3.10.1 330.15 coal-fired power station coal combustion OFA-technology energy industry computational modeling https://technoeconomics.spbstu.ru/article/2024.10.1/ 1-Gabitova.pdf

UNK RUS 15-26 Land & Larder Chingovo Carlean Current challenges in state regulation: e-government and agricultural policies This article focuses on practical achievements and assessments of the results of e-government measures in the agricultural sector. E-government is based on the application of digital technologies aimed at improving public services and interaction between all stakeholders. As a tool for modernizing agriculture, it plays a crucial role in boosting the living standards of farmers. The study analyzes recent and current e-government tools that provide digital access to markets and data and dissemination of relevant information on agriculture via eMkambo, Agritex Mobile, the EcoFarmer app, etc. The authors examine the effectiveness of the AI application, blockchain, and the Internet of Things and identify the most significant bottlenecks. Based on the obtained results, it became possible to define key development tracks for the agriculture-oriented pilot projects associated with digital technologies. Such an approach proves to be highly relevant due to the fact that agriculture is a key sector ensuring food security and economic development of states. 10.57809/2024.3.3.10.2 330.15 e-government digital transformation agricultural policy digital literacy smart agriculture artificial intelligence block-chain Internet of Things https://technoeconomics.spbstu.ru/article/2024.10.2/ 2-Chingovo.pdf

UNK RUS 27-35 Peter the Great St.Petersburg Polytechnic University Vasilyev Vladimir

Saint Petersburg, Russia

0000-0003-1032-7173 Peter the Great St.Petersburg Polytechnic University Voronova Olga

St. Petersburg, Russia

Energy management in network trading companies: current challenges and solutions This study is devoted to the review of modern tools of energy saving management in retail outlets of chain trading companies that provide direct offline sales of products. The research topic is highly relevant due to the digitalization of retail, development of ESGand eco-friendly approaches to enterprise management. Throughout the research, the authors define the role of energy monitoring in energy management and saving in retail. The main directions of energy monitoring in retail outlets have been identified and characterized. The most widespread monitoring tools in the modern retail market are also distinguished and specified. As a result, the authors define major disadvantages of their application and develop the range of promising solutions. 10.57809/2024.3.3.10.3 330.47 energy management energy saving online retail offline sales monitoring tools automation https://technoeconomics.spbstu.ru/article/2024.10.3/ 3-Vasilyev-Voronova.pdf

UNK RUS 36-47 Peter the Great St.Petersburg Polytechnic University Medvedev Semen

Saint Petersburg, Russia

Project management technologies in B2C and B2G At present day project methodologies are used to arrange and systematize business processes based on project management. In addition to being used in the B2B segment, they can also be employed in other business areas. This article examines the fundamental differences between these segments compared to B2B as well as identifies the problems that can be solved using specific elements of project management methodologies. Based on theoretical aspects of project management and fundamental differences between B2C and B2G business sectors, this research aims to provide possible solutions for IT market. In accordance with the obtained results, the authors suggest a range of project methodology-based solutions for each of the prospective challenges. 10.57809/2024.3.3.10.4 330.47 B2C B2G project management agile project technologies https://technoeconomics.spbstu.ru/article/2024.10.4/ 4-Medvedev.pdf

UNK RUS 48-56 Peter the Great St.Petersburg Polytechnic University Kalinina Ekaterina

Saint Petersburg, Russia

Digital transformation in logistics using digital twin technology This article explores the possibilities of digital transformation, including definitions of relevant notions and current trends in logistics. The authors focus on key technological trend: digital twins. This research is highly relevant due to the growing significance of digital transformation in logistics and its influence on competitive advantage. Automation of information and physical processes is a major achievement, with the potential for longterm impact on strategic, tactical, and operational planning and control in logistics systems. Therefore, exploring digital transformation in logistics is a crucial area for research and further practical application. The authors aim to explore the potential of using a digital twin in logistics, as well as to model the architecture of information systems using this approach. 10.57809/2024.3.3.10.5 330.47 logistics digital transformation digital twin architecture of information systems modelling https://technoeconomics.spbstu.ru/article/2024.10.5/ 5-Kalinina.pdf

UNK RUS 57-71 N-1787-2013 56652307100 0000-0001-6251-7644 Imperial College London Svetunkov Sergey

London, The United Kingdom

Polynomial networks instead of neural networks Neural networks are widely used in various scientific fields and practical research. They are sometimes implemented in the modeling of nonlinear economic dynamics. However, neural networks are often not suitable for modeling nonlinear economics. An effective alternative to neural networks in economics is the Elementary image of the Kolmogorov-Gabor polynomial. It has proven to have a more powerful ability to model nonlinearity than the artificial neural network. At the same time, the coefficients of this polynomial are estimated much simpler and faster than the coefficients of the artificial neural network. This observation provides grounds for the idea to replace neurons in the network by the Elementary images of the Kolmogorov-Gabor polynomial, thus creating an alternative polynomial network. This network is trained in just a few steps, while a neural network is trained over several tens of thousands of steps. Additionally, a Bayesian approach can be applied to polynomial networks, while it is not possible with neural networks. What is more, polynomial networks describe nonlinear processes no worse, and some-times even better, than neural networks. Therefore, when modeling nonlinear economic processes, polynomial networks not only prove to be simpler and faster in calculations, but also are capable of Bayesian parameter re-estimation with significant accuracy. 10.57809/2024.3.3.10.6 330.47 neural networks polynomial networks Kolmogorov-Gabor polynomial elementary image KGp nonlinear economic dynamics https://technoeconomics.spbstu.ru/article/2024.10.6/ 6-Svetunkov.pdf

UNK RUS 72-83 Peter the Great St.Petersburg Polytechnic University Krokhina Valeria

Saint Petersburg, Russia

Application of data management tools to improve efficiency of a biotechnology company Most companies in today's economy tend to use information technologies both to execute their activities and to support the core business processes of the organization. There are many tools available in the IT market that can meet the needs of organizations and their customers. However, an important requirement for realizing the possibilities of optimal digitalization of production is the high quality of the data used in the organization, as well as the proper data management, which is one of the assets of the organization. A data management approach is important for any company that wants to be competitive in its industry. This paper analyzes the current architecture of data management in a biotechnology company and its disadvantages and proposes a new architecture, taking into account the implementation of integration tools between services to improve data quality and more efficient data management. 10.57809/2024.3.3.10.7 330.47 enterprise service bus system integration data management data architecture ETL https://technoeconomics.spbstu.ru/article/2024.10.7/ 7-Krokhina.pdf