The research entailed the completion of several tasks at different levels of complexity. These included the creation of plug-ins at the code level, the generation of models representing fundamental data centre elements such as telecommunications cabinets, equipment and cable routes, and the integration between the building management system (BMS) and temperature equipment at the algorithmic level. Furthermore, temperature control strategies utilising the corridor isolation method were implemented, and the selected blocks were chosen for their relative rarity within the field of study and their tangible real-world applications in the context of user level. Chapter 1 presents a discussion of the classification and structure of data centres, as well as an overview of the research background. The study was conducted in several phases, beginning with a comprehensive literature review. This was undertaken to identify the areas of engineering systems design and operation using BIM that have been the least researched.

• The model was augmented with novel elements at the algorithmic level. An algorithmic approach was employed. Systems design and verification:
• Development of a collision-checking plug-in at the code level;
• Testing of BIM elements (families) and plug-in at the user level; Chapter 2 presents a methodology that can enhance data centre performance by optimising the configuration of tray and cable placements and the management of associated data. The method automates the formation of façade schemes and guarantees the accuracy of the specifications. The tray design plugin and dynamic cabinet family, as outlined in this section, facilitate the design and specification process, whilst also enhancing the profitability of FM. In conclusion, the aforementioned issues have been addressed and resolved. The newly created cabinet family enables the automated selection of the necessary equipment and its placement within the designated properties. The capacity for each cabinet to be filled in a unique manner eliminates the potential for errors to be introduced during the creation of façade diagrams. Moreover, all equipment is automatically incorporated into the specifications. The findings of this section will form the foundation for the initial thesis. Chapter 3 presents the methodology for collision checking, which is based on several key factors. Such factors include adherence to the prescribed sequence of checking systems, the exclusion of irrelevant collisions, and the establishment of tolerances when integrating system components. A special-purpose plug-in was developed to facilitate the implementation of the methodology. In the context of collision checking, three levels of analysis have been identified. At the code level, forms are created for the purpose of data visualisation, and computer code is developed for the logic that underpins the user interaction with the database. In the context of user-level interaction, users engage directly with the form for the purpose of searching for and visualising collisions, as well as eliminating individual collisions. The objective is to identify and eliminate collisions in accordance with a prescribed sequence of steps. Once a collision has been eliminated, an identifier is incorporated into the form in the form of a checkmark. This serves to indicate the successful elimination of the collision, the date of the elimination, and the name of the user who performed the elimination. The three levels are inextricably linked and collectively constitute the fundamental building blocks of the plugin's functionality. Given the potential for collisions to result in construction errors, it is of paramount importance to ensure the removal of any remaining collisions between the engineering systems once they have been correctly modelled. The novel approach to plugin development affords engineers the opportunity to enhance their design of all modelled systems. The new approach allows for the identification and correction of intersections approximately ten times faster, while also excluding duplicated intersections and tracking the history of each one. The findings of this section form the foundation for Thesis 2. Chapter 4 presents an analysis of the method associated with the connection between a building management system (BMS) and a building information model (BIM). The accurate monitoring of temperature and relative humidity is vital to ensuring the reliability of data centre equipment. In order to achieve this, the regulation of airflow can be employed as a means of controlling temperature and humidity. As the temperature increases, the equipment draws in a greater volume of cool air. Furthermore, the methodology employed for the collection of data from sensors and its integration into the facility management model is of significant importance. At present, the majority of engineers utilise a BMS that is distinct from the information model. However, in this research section, we propose a direct connection between the building management system (BMS) and the model. This will enhance the management of data centre data. In regard to the cooling of the equipment, there are a number of potential solutions. One of the most effective methods for enhancing the efficiency of a contemporary data centre is through the utilisation of isolation systems. This is due to the fact that the cooling system is the primary consumer of surplus capacity within the data centre. A reduction in load results in an increase in energy efficiency. In this section of the study, the two types of corridor isolation are compared on the basis of a data centre case study using computational fluid dynamics (CFD). The better option is then identified. The results presented in this section serve as the foundation for Thesis 3. Chapter 5 outlines the practical applications of the findings derived from the research. The efficacy of the aforementioned blocks has been evaluated in a multitude of authentic projects at CROC, encompassing a spectrum of sizes, from modest data centres comprising 15 telecom cabinets of 2kW each, to expansive commercial data centres with over 1000 cabinets of 6kW each, which lease their facilities to major organisations. Throughout the testing phase, feedback was obtained and the requisite adjustments were implemented. It can be posited that all proposed methodologies are currently in use.