Abstract
Main goal of the research is effective BMS parameterization based on automatic evaluation systems, both manual and data-based decision generated by a central automation system. Building management systems accelerating historical data may be used as crucial tools to achieving high energy efficiency in a building of high heterogeneity with low cost. The study aims to test innovative mechanisms for automatic group changes in temperature parameters and control of air conditioning and ventilation systems without the involvement of large human resources. This is possible thanks to the use of HMI operator panels and freely programmable controllers, whose control can be changed by modifying comfort parameters (lowering the set temperature in the room, increasing the inertia of the system – hysteresis setting, distinguishing between seasons and weatherbased control, reducing the operation of HVAC systems according to a schedule based on building occupancy). Centralized control allows parameters to be applied with a single click, ensuring stability and speed of the applied settings. The tested public utility building with a heterogeneous purpose consists of many groups of rooms: approximately 700 office rooms, server rooms, conference rooms, meeting rooms with a director's room, archives, underground parking, VIP rooms, restaurants, technical rooms (heat nodes, gray water tanks, internal patio, monitored elevators, kitchens – 2 on each floor). Due to their geographical location and the system of opening (with reed switches) and non-opening window frames, the office rooms are the most complex in terms of thermal comfort control. This is due to the diverse needs of users and different heating and cooling requirements due to additional solar heat gain in some offices. Conducting research on such a diverse building ensures that the solutions developed can be applied to other buildings. This article will examine the possibility of zero-cost BMS parameterization using the example of a building with high functionality and safety requirements. The aim is to demonstrate that the parameterization of the building management system, based on historical data and analysis of a 13-storey building (even after 11 years of use, it shows certain design limitations), increases the comfort and energy efficiency of the building and it is first step to connect buildings in smart cities Increasing smartness of the building by integration of all installations, causes highest potential to reduce carbon footprint over the entire life cycle of a building an cities. Prediction of energy consumption, for each building based on historical data accumulated by BMS is the first step to conduct cloud-based building integration to energy cooperative of buildings, within the framework of a smart city.
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