This study investigates the implementation of energy monitoring as a sustainable maintenance strategy at a water treatment plant using statistical process control methods. The Introduction highlights the shift towards sustainability in maintenance practices, emphasizing the need to consider energy consumption indicators. The Methods section proposed the sevenkey steps involved in energy monitoring, including establishing objectives, defining performance metrics, and quantifying degradation effects. Results demonstrate the effectiveness of CUSUM and in detecting energy degradation, leading to proactive maintenance interventions. The result
also shows that the total energy waste and carbon emissions associated with the distribution pump (DP) and submersible pumps at the water treatment plant over specific time periods. The total energy waste from the distribution pump (DP) was 81,548 kWh, with an increase in carbon emissions of 59.05 tons over a two-year period (2018-2019). Similarly, the submersible pumps generated 38,197 kWh of energy waste and emitted 30.72 tons of carbon over a five-year period
(2017-2021). Implementing energy monitoring could have significantly reduced wasted energy and carbon emissions. The study highlights the effectiveness of the proposed methodology in detecting energy degradation, emphasizing the importance of clear objectives, defined performance metrics, and quantifying degradation effects for making informed and sustainable maintenance decisions.