Mitigating carbon footprint through asset management on a smart campus

Abstract

The effective analysis and management of distribution transformers is fundamental to ensuring the reliability and efficiency of the electrical system. Based on these premises, this paper proposes a comprehensive approach to assess transformer demand and implement energy efficiency strategies on a smart campus. Using measurement data from a metering infrastructure over two years, the study models two different scenarios to understand the peaks and valleys of demand, taking into account the seasonal influence of temperature on demand. The methodology includes an analysis of load profiles and the determination of the load factor of each transformer using the rated power and the highest demand requirement. Hence, management strategies are developed, such as replacing transformers with more efficient ones and adjusting the rated nominal power to meet current and future demand, taking into account projected economic growth. In addition, the technical losses of the transformers and their impact on Greenhouse Gases emissions will be assessed to quantify the environmental benefits of the proposed measures. The results of this research can guide policies and regulations to improve transformer performance, reduce technical losses, and promote more sustainable operation of the electricity system.