Enerji Verimliliği Analitiği

EEA uses cross comparison distribution analysis in order to find which transformers are operated efficiently and which might be oversized. By comparing the time usage of the power through the transformer we are able to benchmark and identify which transformers are oversized. We minimize the losses and we point out to phase unbalance to reduce power consumption and extend the lifetime of the asset.

EEA analyzes energy consumption with process data to gain an even better understanding on the behavior of the equipment. Starting from this baselining, EEA computes measures to improve asset performance, performs benchmarking based on millions of datapoints, and predicts asset behavior from an energetic point of view. Any optimization measure is quantified as to payback and impact.

EEA Compressor Optimization uses advanced analytics and AI to optimize the efficiency of compressor systems, thereby enabling savings without impacting the gas flows required by the underlying processes. Use our vendor agnostic approach only based on operational data to find your individual optimal control settings and overall compressor system setup and save up to 17% in cost.

EEA Pump Optimization makes the most of unsupervised learning, segmentation and dynamic time wrapping in order to find consumption states and give recommendations on which operating states are most optimal for your energy bill while maintaining required throughputs to the process. As all EEA modules, EEA Pump Optimization is purely based on operational data and identifies those optimization measures with best payback.

This analysis uses outlier detection, peak detection and time series modelling in order to find unnecessary temperature and energy peaks in heating consumption over time. Our big data analyses are able to model the thermal inertia of the systems so we can propose new settings that will result in a lower consumption while maintaining temperature levels as they need to be.