Ivars Beinarts

Multiple Criteria Decision Support for Heating Systems in Electric Transport

In this paper the solution to the problem of optimal control of climate parameters in public electric transport is proposed. Optimization of mechatronic system control is provided by minimization of electric energy consumption and maximization of passengers’ comfort level. We propose to solve this task using artificial intelligence and progressive multiple criteria decision making methods. The popular Nelder-Mead multiple criteria decision making method (Nelder and Mead 1965) is applied. This method makes it possible to find a minimal value for the target function. In this case there is a dependence of minimal electric energy consumption on maximal comfort level. Our modelling and investigation is based on a typical architecture of heating ventilation and air conditioning system with a traditional application of AC induction motors for driving both a compressor and a fan of the conditioner. Special interest and further development is devoted to intelligent heating systems, allowing more flexible regulation of the system’s compressor and fan operation, and, therefore, improvement of efficiency and energy saving.

Distributed Multi-Sensor Real-Time Building Environmental Parameters Monitoring System with Remote Data Access

Abstract In this paper the advanced monitoring system of multiple environmental parameters is presented. The purpose of the system is a long-term estimation of energy efficiency and sustainability for the research test stands which are made of different building materials. Construction of test stands, and placement of main sensors are presented in the first chapter. The structure of data acquisition system includes a real-time interface with sensors and a data logger that allows to acquire and log data from all sensors with fixed rate. The data logging system provides a remote access to the processing of the acquired data and carries out periodical saving at a remote FTP server using an Internet connection. The system architecture and the usage of sensors are explained in the second chapter. In the third chapter implementation of the system, different interfaces of sensors and energy measuring devices are discussed and several examples of data logger program are presented. Each data logger is reading data from analog and digital channels. Measurements can be displayed directly on a screen using WEB access or using data from FTP server. Measurements and acquired data graphical results are presented in the fourth chapter in the selected diagrams. The benefits of the developed system are presented in the conclusion.