PRECEDENT-ANALYTICAL MODEL OF EXERCISE SYSTEM FOR ENERGY MANAGERS

The topical issue of development of theoretical bases of creation and application of computerized systems for training of energy managers of industrial enterprises is considered. The object of the study is the practical activities of the company's staff, aimed at improving the energy efficiency of production systems for various purposes. The subject of research is computer technologies of training and coaching of industrial enterprise personnel. The purpose of the study is to create tools aimed at training the staff of energy management services. The research is based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions is based on the Deming cycle, and the modeling of reactions of production systems is based on cases of quasi-stationary energy consumption of the technological system. The software platform of the proposed technology consists of software modules that reproduce the control cycle PDCA (Plan-Do-Check-Act) and the subject area of ​​training in the form of a software add-on. The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

Velocity Optimization and Robust Energy Management of Connected Power-Split Hybrid Electric Vehicles

This paper focuses on an eco-driving based hierarchical robust energy management strategy for connected automated HEVs in the presence of uncertainty. The proposed control strategy includes a velocity optimizer, which evaluates the optimal vehicle velocity, and a powertrain energy manager, which evaluates the optimal power split between the engine and the battery in a hierarchical framework. The velocity optimizer accounts for regenerative braking and minimizes the total driving power and friction braking over a short control horizon. The hierarchical powertrain energy manager employs a long- and short-term strategy where it first approximately solves its problem over a long time horizon (the whole trip time in this paper) using the traffic data obtained from vehicle-to-infrastructure (V2I) connectivity. This is followed by a short-term decision maker that utilizes the velocity optimizer and long-term solution, and solves the energy management problem over a relatively short time horizon using robust prediction control methods to factor in any uncertainty in the velocity profile due to uncertain traffic. We solve the long-term energy management problem using pseudospectral optimal control method, and the short-term problem using robust tube-based model predictive control(MPC) method. Simulation results show the competence of our proposed approach, where our proposed co-optimization approach with long- and short-term solution results in ≈ 12% more energy efficiency than a baseline co-optimization approach.

Determinants of Managerial Competences Transformation in the Polish Energy Industry

Different technological, socio-economic, geopolitical, and demographic factors have a significant influence on labor markets. Currently, due to COVID-19, the global economy is in a challenging situation, and millions of people from different countries have lost their jobs. The employee’s mental health and well-being are in risk conditions. In the coming years, the Polish energy sector will face several transformations. Emerging technologies are intended to deal with the problems in energy management. One of the main industry forces is human capital, people who will be able to project and manage the innovative technologies. Thus, this paper examines the determinants of managerial competences transformation in the energy industry from the labor market perspective. The paper fulfills the research gap in the energy manager profession’s transformation in Poland. The aim of the paper was to present the current state of the energy manager profession in Poland. Two methodological approaches were used: the theoretical and practical approaches. Descriptive statistics are provided to present the labor market research results. The findings of the research can contribute to the literature and practice by applying them in the process of developing energy manager competency models, as well as in education programs and training courses for enterprises and universities.

ANALYSIS OF MODERN POWER PLANT CONTROL SYSTEMS ACCORDING TO THE ENERGY EFFICIENCY CRITERION

Modern production management systems currently play a significant role for industrial enterprises. One of the main tasks of the energy manager is to increase production productivity, increase the efficiency of using fuel and energy resources, correctly select performing personnel, properly maintain technical documentation, and so on. All activities mean very painstaking work, which needs to be automated thanks to modern control systems using IT technologies. In this system, such systems are analyzed to meet modern production management requirements.

Computer Scenario-Precedent Technology Treining of Energy Managers

The article considers the topical issue of developing simulators for advanced training of specialists in energy efficiency management of industrial enterprises and utilities. The aim of the study is to develop the theoretical foundations of the use of computerized systems for training energy managers. The object of the study is the practical activities of the personnel of the enterprise, aimed at improving the energy efficiency of production systems for various purposes. The research method based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions based on the Deming cycle, and the modeling of reactions of production systems based on cases of quasi-stationary energy consumption of the technologi-cal system. The software platform of the proposed technology consists of a base of precedents for quasistationary energy consumption and software modules that reproduce the PDCA control cycle (Plen-Do-Check-Act). The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

Sustainable Smart Cities and Energy Management: The Labor Market Perspective

Nowadays, sustainability is one of the strategic goals of smart cities. They are the essential solution to creating the sustainable future. On the other hand, the smart city is intended to deal with the problems of energy management. This paper examines the influence of the smart sustainable cities concept on energy management from the labor market perspective. The paper fulfills the research gap about energy manager profession transformation considering smart sustainable city concept. The aim of the paper is to create an up-to-date holistic energy manager skill model with a focus on emerging technologies. The skill model reflects the synergy of two methodological approaches: the theoretical and practical approaches. Descriptive statistics are used to present the labor market research results. It is concluded that the core elements of the smart sustainable city concept have an impact on energy management are sustainability and big data. The labor market research also draws differences in the amount and structure of demand on energy manager skills by countries, but at the same time similar skills requirements are found. The skill model of the energy manager profession is built around several main groups associated with specific knowledge, social skills, and behavior skills. The findings of the present research can contribute to knowledge and practice by applying it in the process of developing energy manager competency models in commercial and non-commercial enterprises as well as in education programs and training courses.