
PRECEDENT-ANALYTICAL MODEL OF EXERCISE SYSTEM FOR ENERGY MANAGERS
Author(s) -
Pleskach B.M.,
V.D. Samoilov,
В. М. Прокопенко,
Oleh Oleksandrovych Zakladnyi
Publication year - 2021
Publication title -
energetika. ekonomìka, tehnologìï, ekologìâ
Language(s) - English
Resource type - Journals
eISSN - 2308-7382
pISSN - 1813-5420
DOI - 10.20535/1813-5420.2.2021.247367
Subject(s) - pdca , energy consumption , software , coaching , production (economics) , energy management , engineering management , work (physics) , computer science , energy (signal processing) , plan (archaeology) , control (management) , process management , knowledge management , risk analysis (engineering) , management system , operations management , engineering , business , artificial intelligence , operating system , management , mechanical engineering , history , statistics , electrical engineering , mathematics , archaeology , economics , quality management , macroeconomics
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.