The use of artificial intelligence (AI) and Big-Data to improve energy consumption in existing buildings

Mamdooh Alwetaishi, Amal Shamseldin

2021IOP Conference Series Materials Science and Engineering13 citationsDOI Open Access PDF

Abstract

Abstract The use of Artificial Intelligence AI and Big data can contribute to improve energy performance in buildings. There are so many data are available in different institutions within a country such as Ministry of housing and electricity companies. The aim of this research is to propose a link between all these institutions with the aid of field measurement and occupants’ thermal sensation. The work used various methods to carry out this research including field measurement, computer modelling and survey. It was found that use of AI in existing buildings can improve energy performance significantly. The current research focused on optimization of WWR (Window to Wall Ratio) with orientation. WWR for western zones should not exceed 15% in extreme hot and humid climate and it can reduce energy consumption by 20%.

Topics & Concepts

Energy consumptionComputer scienceChristian ministryArchitectural engineeringElectricityConsumption (sociology)Work (physics)Big dataField (mathematics)Efficient energy useThermal sensationEnergy (signal processing)Artificial intelligenceEnvironmental economicsThermal comfortEngineeringMechanical engineeringMeteorologyData miningElectrical engineeringSocial scienceEconomicsMathematicsPhilosophyPure mathematicsTheologyStatisticsSociologyPhysicsBuilding Energy and Comfort OptimizationWind and Air Flow StudiesEnergy Load and Power Forecasting