Energy Efficiency Analytics
Optimize your energy use and decrease costs with Siemens’ Energy Efficiency Analytics (EEA) cloud-based solution for big data collection, processing, and analytics. Reduce CO2 emissions, boost operations, and strategically approach complex tariffs – regardless of industry.
Save energy costs and boost sustainability with Siemens Energy Efficiency Analytics (EEA)Industries account for 50% of global energy use. EEA helps high energy consuming industrial players reduce energy costs in their process and power distribution by applying unique big data and AI algorithms combined with process analysis. Take advantage of our expertise in the energy domain and optimize your energy use by analyzing your consumption data.
Turning savings into a business case
Turning off an energy consuming asset is surely the most effective way to save energy. But jokes aside - there are a lot of other measures that can be taken to generate additional savings without affecting your running production. In all our projects, we were able to consistently over-achieve our customer's savings expectations.
With EEA, you will turn sustainability into a business case within an amazing payback time.
And the best is: you can implement it risk-free, with minimal effort and no interruption of your business. Start realizing your savings with the help of our AI-technology and our energy domain expertise.
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.
Let your data do the liftingOnce you realize how much energy you consume where, how and when it’s exactly used for what, our algorithms, you and us will find ways to optimize, on top of any efforts you have already put into increasing energy efficiency. We have not had a single customer where we weren’t able to leverage additional savings.
Others have done it – Taking advantage of additional saving opportunitiesOur customers operate in various industrial areas, from discrete to continuous process environments, and infrastructure. Also, they have taken advantage of our Energy Efficiency Analytics approach from very different points in their personal energy efficiency journey. In all cases we have been able to find additional savings and benefits, even if the previous efforts in the space of energy efficiency had already been quite significant.
How EEA identifies additional savingsMany analyses become possible with EEA’s bottom-up approach of gaining enhanced visibility into energy consumption at high frequency on asset level. EEA currently works with 14 so-called analysis areas that make use of statistical analysis, big data analytics and artificial intelligence engines. These analysis areas are applied to your specific business to identify additional savings and improvement opportunities. Find out about three of them in our videos below.
Increase sampling, increase transparency
Resolution matters. Consumption patterns offer a wealth of information about your machine’s performance and the accuracy of its settings. When you couple resolution and transparency with frequent samples, your visibility is increased. This is critical to ensure smooth operations that can be translated into fewer failures and a longer life.
Result: Detection of misbehaviors and increased visibility.
Negotiate better contracts
Be informed before selecting your type of energy tariff or negotiating power-consumption contracts. Choose your level of contracted power based on your acutal needs. Optimize your energy contracts to save (potentially) thousands of euros on monthly bills — effortlessly.
Result: Savings of more than 20k€ per year in penalties.
Make cost-effective decisions
The cloud advantage means being able to benchmark your facilities worldwide and compare vendors – easily and efficiently. Your equipments’ energy consumption behaviors factor into the selection process of vendors for new projects. Gain the needed transparency to plan for new investments and make cost-effective choices.
Result: 40% decrease in energy consumption due to high-resolution data.