Case Studies Energy Smart Generation by Unatec using Carriots

	Energy Smart Generation by Unatec using Carriots

Energy Smart Generation by Unatec using Carriots

Technology Category	Analytics & Modeling - Predictive Analytics Infrastructure as a Service (IaaS)
Applicable Industries	Utilities
Applicable Functions	Process Manufacturing
Use Cases	Machine Condition Monitoring
Challenge	Energy generation and management, when not optimized, severely damages the results. If costs are not closely controlled or the production is not predicted accurately, profit can be dramatically diminished or even lead to losses. It is therefore mandatory for energy producers to optimize the management to maximize profitability. Read More
About Customer	CETASA EOLICA and Gas Natural Unión Fenosa Read More
Customer Name	CETASA EOLICA and Gas Natural Unión Fenosa Read More
Solution	The system uses different prediction services and compare them using Carriots to increase forecasting accuracy. The prediction model receives feedback to continuously enhance accuracy in the energy offering calculation. Production breaks (scheduled or not) are included in the predictions. A customized set of KPI's is permanently tracked and displayed in real-time graphs to compare production with predictions and generate customized performance reports, budget tracking, plants comparison and cost reductions. Read More Log in to view content
Data Collected	Alarms For Automated Applications, Downtime, Energy Consumption Rate, Process Parameters, Production Efficiency Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Infrastructure as a Service (IaaS)

Applicable Industries

Utilities

Applicable Functions

Process Manufacturing

Use Cases

Machine Condition Monitoring

Challenge

Energy generation and management, when not optimized, severely damages the results. If costs are not closely controlled or the production is not predicted accurately, profit can be dramatically diminished or even lead to losses. It is therefore mandatory for energy producers to optimize the management to maximize profitability.

About Customer

CETASA EOLICA and Gas Natural Unión Fenosa

Customer Name

CETASA EOLICA and Gas Natural Unión Fenosa

Solution

The system uses different prediction services and compare them using Carriots to increase forecasting accuracy. The prediction model receives feedback to continuously enhance accuracy in the energy offering calculation. Production breaks (scheduled or not) are included in the predictions. A customized set of KPI's is permanently tracked and displayed in real-time graphs to compare production with predictions and generate customized performance reports, budget tracking, plants comparison and cost reductions.

Data Collected

Alarms For Automated Applications, Downtime, Energy Consumption Rate, Process Parameters, Production Efficiency

Impact #1	[Process Optimization - Real Time Monitoring] Deviations and energy quality parameters are controlled in real-time avoiding penalties with sensors linked to the smart metering system, firing alarms via SMS or email.
Impact #2	[Cost Reduction - Energy] Maintenance is scheduled at optimal times using prediction and production data along with the energy price.
Impact #3	[Management Effectiveness - Big Data Analysis] A local SCADA connection monitors the internal parameters and analyzes the generated big data to prevent outages and technical issues.

Impact #1

[Process Optimization - Real Time Monitoring]
Deviations and energy quality parameters are controlled in real-time avoiding penalties with sensors linked to the smart metering system, firing alarms via SMS or email.

Impact #2

[Cost Reduction - Energy]
Maintenance is scheduled at optimal times using prediction and production data along with the energy price.

Impact #3

[Management Effectiveness - Big Data Analysis]
A local SCADA connection monitors the internal parameters and analyzes the generated big data to prevent outages and technical issues.

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Overview

Energy Smart Generation by Unatec using Carriots

Operational Impact