Análisis de eficiencia energética
Optimiza el uso de energía y reduce los costos con la solución basada en la nube Energy Efficiency Analytics (EEA) de Siemens para la recopilación, el procesamiento y el análisis de big data. Reduce las emisiones de CO2, las operaciones y aborde estratégicamente tarifas complejas, independientemente de la industria.
Ahorra costos de energía e impulsa la sustentabilidad con Siemens Energy Efficiency Analytics (EEA)
Las industrias representan el 50% del uso mundial de energía. EEA ayuda a los actores industriales que consumen mucha energía a reducir los costos de energía en su proceso y distribución de energía mediante la aplicación de algoritmos de IA y big data únicos combinados con el análisis de procesos. Aprovecha nuestra experiencia en el dominio de la energía y optimiza su uso de energía analizando sus datos de consumo.Convertir los ahorros en un caso de negocio
Apagar un activo que consume energía es sin duda la forma más efectiva de ahorrar energía. Pero aparte de las bromas, hay muchas otras medidas que se pueden tomar para generar ahorros adicionales sin afectar su producción en curso. En todos nuestros proyectos, pudimos superar constantemente las expectativas de ahorro de nuestros clientes.
Con EEA, podrás convertir la sustentabilidad en un caso de negocios dentro de un increíble tiempo de recuperación.
Y lo mejor es que puede implementarlo sin riesgos, con un esfuerzo mínimo y sin interrupción de su negocio. Comience a realizar sus ahorros con la ayuda de nuestra tecnología de inteligencia artificial y nuestra experiencia en el dominio de la energía.
Transformers
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.
Production and process equipment:
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.
Compressors
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.
Pumps
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.
Heating and cooling equipment
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.
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.
Deja que que sus datos hagan el trabajo
Una vez que se dé cuenta de cuánta energía consume, dónde, cómo y cuándo se usa exactamente para qué, nuestros algoritmos, usted y nosotros encontraremos formas de optimizar, además de cualquier esfuerzo que ya haya realizado para aumentar la eficiencia energética. No hemos tenido un solo cliente en el que no hayamos podido aprovechar ahorros adicionales.
Otros lo han hecho – Aprovechando oportunidades de ahorro adicionales
Nuestros clientes operan en diversas áreas industriales, desde entornos de procesos discretos hasta continuos e infraestructura. Además, se han beneficiado de nuestro enfoque de análisis de eficiencia energética desde puntos muy diferentes en su viaje de eficiencia energética personal. En todos los casos hemos podido encontrar ahorros y beneficios adicionales, incluso si los esfuerzos previos en el espacio de la eficiencia energética ya han sido bastante significativos.
How EEA identifies additional savings
Many 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.
