OPTIMIZING ENERGY MANAGEMENT IN SPORTS FACILITIES: HARMONIC ASSESSMENT AND MULTILOAD TRACKING MECHANISMS FOR ENHANCED PERFORMANCE

Abstract

Energy meters, traditionally used in residential, commercial, and industrial settings to measure and record electrical energy usage, play a critical role in billing and energy management. In the realm of sports, where facilities often encompass a variety of high-energy-consuming activities ranging from lighting vast stadiums to powering high-intensity training equipment, efficient energy management becomes crucial for both operational sustainability and financial viability. This study explores the adoption of a smart energy meter equipped with Internet of Things (IoT) technology, specifically tailored for the unique energy demands of sports facilities. The advanced smart energy meter utilizes an Improved Fast Fourier Transform (IFFT) to manage and monitor energy usage more effectively in sports environments. This approach includes Total Harmonic Distortion (THD) Computing and Root Mean Square Voltage (RMSV) Measurement, which are critical for accurately determining Vrms and THD values. Such precise measurements are essential for sports facilities to prevent energy waste and ensure the reliability of critical systems like field lighting and climate controls, which directly affect athletic performance and spectator experience. Furthermore, the integration of the Hanning Window (HW) method reduces spectrum leakage, enhancing the reliability of harmonic analysis. This is particularly important in sports complexes where sudden changes in energy use—such as those occurring during major events or games—can lead to significant fluctuations. Reliable harmonic analysis helps in maintaining consistent power quality, protecting sensitive training equipment from potential damage caused by power irregularities. Using Node-RED, a cloud-based platform, the smart energy meter facilitates the secure collection, management, and transfer of energy data, enabling sports facility managers to perform real-time monitoring and make informed decisions regarding energy use. A comparative analysis against traditional Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) methods highlights the superiority of the IFFT approach in sports settings, demonstrating its enhanced capabilities in power quality management and operational efficiency. In conclusion, the implementation of smart energy meter technology in sports facilities not only enhances energy efficiency and reduces costs but also plays a crucial role in optimizing the performance and sustainability of sports operations. This technology supports the broader goals of environmental stewardship and economic management in the sports industry, ensuring that facilities can meet the high standards required for both competition and training.