Abstract
The main goal of the research is effective BMS parameterization based on automatic evaluation systems, both manual and data-based decisions generated by a central automation system. Building management systems, accelerating historical data, may be used as crucial tools to achieve 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 weather-based control, reducing the operation of HVAC systems according to a schedule based on building occupancy). Centralized control allows application of parameters 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 including a director’s room, archives, underground parking, VIP rooms, restaurants, technical rooms (heat nodes, gray water tanks, internal patio, monitored elevators, kitchens – two on each floor). Due to their geographical location and the system of opening and closing window frames with reed switches, office rooms are the most complex in terms of thermal comfort control. This is an effect of diverse user needs and different heating and cooling requirements resulting from additional solar heat gain in some offices. 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 the first step to connect buildings in smart cities. Increasing the level of building smartness by integrating all installations creates the highest potential to reduce the carbon footprint over the entire life cycle of a building in 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 into an energy cooperative of buildings, within the framework of a smart city.
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