Analyzing Data from HVAC Systems in Oslo School Buildings with Artificial Intelligence
Master thesis
Permanent lenke
https://hdl.handle.net/11250/3143764Utgivelsesdato
2024Metadata
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Sammendrag
Artificial intelligence (AI) has significantly altered our lives and will do so in the future. Amongthe several applications and industries that use it is building automation. Productivity hasincreased because of artificial intelligence's broad use and close ties to society and industry.
A major development in building automation is the coming together of Artificial Intelligence(AI) and HVAC (heating, ventilation, and air conditioning) systems. This abstract examines howAI algorithms and HVAC technology work together, highlighting how they have the power tocompletely transform system performance, occupant comfort, and energy efficiency.Advanced algorithms are used by AI-driven HVAC systems to evaluate enormous volumes ofsensor data, weather forecasts, occupancy patterns, and past usage. These systems enhanceheating and cooling operations to dynamically respond to changing conditions whiledecreasing energy use through real-time monitoring and predictive analytics.
Energy Efficiency, using predictive modeling, AI algorithms allow proactive HVAC settingadjustments that maximize energy efficiency without sacrificing comfort
Predictive maintenance reduces downtime and lengthens system lifespan by using artificialintelligence (AI) to analyze equipment performance data, forecast probable breakdowns, andschedule maintenance operations in advance.
Personalized Comfort, AI-enabled HVAC systems can recognize user preferences and modifyairflow and temperature to optimize energy savings while improving personal comfort.
Adaptive Control: By continuously learning from feedback on system performance, machinelearning algorithms adjust operating parameters to achieve optimal performance under arange of circumstances.
There is great potential for increasing productivity, cutting expenses, and raising occupanthappiness through the integration of AI into building HVAC systems.
These abstract lays the groundwork for future research on the usefulness and benefits of AIdrivenHVAC technologies in the real world.