MODELING AND SIMULATION OF ADVANCED WIRING SYSTEMS FOR EFFICIENT POWER DISTRIBUTION IN MULTI-STORY BUILDINGS

Abstract

This study investigates the optimization of power distribution systems in multi-story buildings through advanced wiring configurations, integration of renewable energy sources, and machine learning-based optimization. Using detailed modeling and simulation techniques, we evaluated the performance of various building configurations to assess key indicators such as power loss, voltage stability, energy efficiency, and system reliability. The results demonstrated that advanced wiring systems significantly reduced power loss by up to 15% compared to conventional designs. The system design upgrade led to significant enhancements in voltage stability which displayed values between 3% compared to the conventional wire standard that provided variations between 8%.  Solar and wind together with other renewable energy sources boosted system efficiency which simultaneously reduced carbon emissions by 10% and enhanced energy efficiency by 20%.  System dependability improved by 6% while machine learning for optimisation forecasting lowered energy consumption by 12% during power distribution and maintenance need predictions.  Research reveals that initial costs of modern systems exceed traditional systems but these modern systems generate long-term financial advantages that create a 18% greater return on investment (ROI) during ten years.  Studies confirm that novel wiring techniques and sustainable power management strategies should be used in order to enhance the sustainability and efficiency characteristics of multi-story buildings.  Modern urban infrastructure designers and electrical engineers can obtain valuable knowledge by studying this research which aims to build durable energy-efficient systems.