This paper presents the implementation of a reprogrammable PLC system as a monitoring control tool in the actual operating environment of a compressor station. A neural network is used to recognize the temperature pattern and to predict the temperature on the compressor station. A cooling system is installed for the optimization purpose of the observed system. The research was conducted in three stages in real working conditions within the production hall. The difference in temperatures with and without the added cooling system is shown. There are gaps in this research that represent opportunities for future development, therefore recommendations for further research are given.
This paper presents research of energy performance analysis performed by Building Energy Management System (BEMS). BEMS is a system/platform integrated with building and it is an enormous improvement in a process to develop nearly zero energy buildings (nZEB). Near zero energy consumption stands for energy efficient idea of energy independent buildings for their function during their life time. Here, BEMS with function of monitoring and regulation of cooling energy demand is developed. BEMS regulates function of ventilation fan in area below tin roof and improves working conditions by inside building temperature reduction during summer period. Described technical solution is designed inside RESCUE IPA CBC project.
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