THE MODEL OF DECISION SUPPORT IN CENTRALIZED HEATING MANAGEMENT ON THE CONSUMER SIDE

Abstract

To manage centralized heat supply on the consumer side, it is necessary to implement an energy management system as an instrument for reducing the consumption of energy by using energy resources efficiently. The implementation of the energy management system requires monitoring, accounting, analyzing and making decisions in the management of heating system. The subject matter of this study is the information support of decision making in the management of centralized heat supply. The aim of the work is to develop a model for decision support in the management of heat supply modes on the consumer side. The tasks of the research include the selection of methods, the development of a model for making decisions while managing heat supply modes and its implementation in the decision support system (DSS). The current state of information technologies used for solving the problem of decision making support in centralized heating management is analyzed. A model for determining a regulating variable for establishing the necessary heat supply mode with the use of fuzzy set theory and methods of fuzzy logic is developed. On the basis of the expert survey, the term sets of linguistic variables of the model of fuzzy logic decision making in managing heat supply modes were determined, membership functions of each linguistic variable of the model and rules of logical deduction were developed. The result of the model operation is making the recommendation as for controlling the current mode of heat supply, which can take the values "below the required", "acceptable", "optimal", "exceeds the optimum" up to the required one among the probable values of "acceptable", "optimal" uner the temperature conditions of the environment "very cold", "cold", "moderate" or "warm". The developed model is implemented in the information technology of decision support in the management of heat supply of public sector objects. On the basis of this technology, the decision support system whuch ensures the automatization of the tasks of monitoring the current state of the heating system was developed, the assessment of the predicted volume of heat energy consumption as well as decision support of the heat supply management on the customer side. The use of the developed model in the decision support system while managing the heat supply systems on the consumer side enables reducing the level of heat energy consumption necessary to heat buildings while preserving the necessary temperature mode in heated premises.

Keywords

• energy saving
• heat supply
• model
• fuzzy logic
• decision support