SlideShare a Scribd company logo
1 of 23
Public Report on WP1
Deliverable D1.3 / WP1 / TASKs 1.1 / 1.2 / 1.3
INCREASE OF AUTOMOTIVE CAR INDUSTRY COMPETITIVENESS THROUGH
AN INTEGRAL AND ARTIFICIAL INTELLIGENCE DRIVEN ENERGY
MANAGEMENT SYSTEM
1
2. The car manufacturing industry
1. Introduction
2
Index
3. The “intelligent Energy Management System (iEMS)
4. The pilot plant: SEAT Martorell
5. Conclusions and next steps
1.1 EuroEnergest Project
1.2 Project Consortium
1. Introduction
3
Index
2. The car manufacturing industry
3. The “intelligent Energy Management System (iEMS)
4. The pilot plant: SEAT Martorell
5. Conclusions and next steps
This report presents the main results and conclusions of the
work done during the first period of the project EuroEnergest.
This document shows:
 The results from the automotive industry analysis.
 The general structure of an iEMS and its advantages for
energy management.
 A description of the SEAT Martorell plant where the system
will be tested.
 The process to implement the EuroEnergest software in the
car manufacturing industry.
1. Introduction
4
The aim of the project is to
reduce, at least by 10%, the
energy consumption in the
automotive industry by
developing an intelligent
Energy Management System
(iEMS).
1.1 EuroEnergest Project
This development will be implemented on a
real site (SEAT facilities, in the outskirts of
Barcelona – Spain) for its industrial trials and
validation.
5
The EuroEnergest project is a
collaborative project between
technology centres, universities and
private companies to develop a
system of intelligent energy
management for the automotive
industry.
This project is supported by the European
Commission under the 7th Framework
Programme
1.2 Project Consortium
6
2.1 The car manufacturing process
2.1 Energy and environmental impact
1. Introduction
Index
2. The car manufacturing industry
3. The “intelligent Energy Management System (iEMS)
4. The pilot plant: SEAT Martorell
5. Conclusions and next steps
7
Generally speaking, there is not one automotive manufacturing
plant which is exactly like any other. Some similarities can be found
among recently built ones but the old plants have been regularly
updated to cope with constantly changing market needs.
2. The car manufacturing industry
Initially, fully integrated
factories were constructed,
but over the years, the
outsourcing process has
generally extended and
many production steps
have been externalized to
other companies.
The profile of industrial plants is very dynamic and
not a homogeneous facility. This is one of the
biggest challenges of the EuroEnergest project:
“to be flexibly enough in order to be adapted to
this heterogeneous environment” 8
Despite the fact that all car manufacturing processes can
be standardized, they are not necessarily located within the
same production environment.
2.1 The car manufacturing process
Logistics (material
receipt)
Press Bodyshop Painting Assembly
Quality
review
Logistics
(car
distribution)
These vehicle production systems
continue operating with the same
logic but the difference is that
some of their internal processes
have been outsourced or there has
been an improvement in terms of
the technology used.
9
With regards to energy consumption, during
2011 the average energy consumption for the
production of a vehicle was 2,5 MWh (from
data from major vehicle manufacturers).
Variances above and below this typical value
may be due both to the difference between
vehicle models and the difference in the
production process.
2.1 Energy and environmental impact
From an environmental viewpoint, the
resulting CO2 emissions from the production
of vehicles, is 0,65 tons of CO2 per vehicle.
Since there is a direct relationship between
energy consumption and CO2 emissions, it
can be assumed that the differences are due
to the mix of primary energy sources used.
10
1. Introduction
11
Index
2. The car manufacturing industry
3. The “intelligent Energy Management System (iEMS)
4. The pilot plant: SEAT Martorell
5. Conclusions and next steps
3. The “intelligent Energy Management System (iEMS)
An Energy Management System (EMS) is a set of tools
used to manage a facilities energy information.
Perhaps most importantly, intelligent energy management provides a
platform that empowers real-time insight, analysis and control, as
well as integration with the expanding smart grid infrastructure.
Intelligent energy
management solutions
build on traditional and
informed demand
response practices by
incorporating several new
elements that help
energy sources and
energy consuming
systems leverage a true,
two-way dialogue.
12
3. The “intelligent Energy Management System (iEMS)
EuroEnergest software uses information
from different sources. Most important of
these are weather databases, and data
about the production plan.
This information needs to be continually
updated by means of an online server.
Unfortunately, industrial processes carried
out in the automotive sector are subject to
strict privacy policies, leading to the
introduction of limitations on information
availability.
For this purpose a distributed software implementation across different servers
has been chosen, to enhance the protection of the company's confidential data
from external attack.
13
14
3. The “intelligent Energy Management System (iEMS)
As the software design is conceptualized today, a number of finite elements
(energy generation/consumption equipment) are modeled.
If required, it is possible to incorporate new models, such as the introduction of
further types of renewable energy generation systems.
The EuroEnergest iEMS aims to combine available energy
sources (electrical/gas grid, renewable and CHP) to supply the
energy demand in a car manufacturing environment. 14
1. Introduction
15
Index
2. The car manufacturing industry
3. The “intelligent Energy Management System (iEMS)
4. The pilot plant: SEAT Martorell
4.1 Assembly
4.2 Painting
5. Conclusions and next steps
4. The pilot plant: SEAT Martorell
The EuroEnergest project will be
implementable in any car
manufacture industry, but the first
industrial scale trials will be done
at the SEAT Martorell factory.
This SEAT factory covers a total
of over 2.800.000 m2.
The project will be focused on
Bodyshop and Painting
workshops which will be fully
analyzed and monitored.
16
4. The pilot plant: SEAT Martorell
The primary energy
consumption at SEAT is 700
GWh, with gas being the most
highly used energy source (550
GWh) representing a 78%. The
remaining 22% is electricity
from the grid (150 GWh).
Part of gas supply is used to
generate overheated water and
electricity in the CHP.
In terms of energy consumed in
each workshop (540 GWh),
electricity is the most high
demand source (260 GWh) with
the 48% of the total consumed,
followed by thermal energy
(200 GWh) with 37% and gas
(80 GWh) with 15% 17
4.1 Bodywork
With regards to the two
workshops where the
EuroEnergest system will be
implanted, the bodywork
processes take place in the
100.000 m2 of the workshops 1.
Its main purpose is to give
corrosion resistance, geometry
and sealing to the cars structure.
More than 1.800 employees
work together with 3.000
robots.
18
4.2 Painting
In the Painting process, more than 1.000 people work to get
2.000 cars painted every day. Approximately 75 robots are
used to paint each car during the different process steps.
The painting process is the most intensive in terms of electricity,
thermal energy, gas and water consumption. The percentage of gas
used (around 30%), is much higher than the average of the other
workshops. This is due to the fact that some ovens use gas directly to
provide high temperatures.
19
1. Introduction
20
Index
2. The car manufacturing industry
3. The “intelligent Energy Management System (iEMS)
4. The pilot plant: SEAT Martorell
5. Conclusions and next steps
5. Conclusions and next steps
The analysis done on WP1 concludes that:
One of the biggest challenges of EuroEnergest project is that the profile of
industrial plants is a very dynamic and non-homogeneous
As the EuroEnergest software is conceptualized today, a number of finite
elements (energy generation/consumption equipment) are modeled and it is
this modular structure which allows the solution of a wide range of
situations.
Painting and Bodywork workshop have been selected at SEAT due to their
differences in energy use in their HVAC systems. They represent both the use of
HVAC for comfort and process.
There are significant differences between the energy used and the CO2
emission per car manufactured, but these differences may be due to
differences in processes and the wide range and type of vehicles
manufactured.
1
2
3
4
21
ProjectProgress
5. Conclusions and next steps
The following diagram shows the methodology, in general terms, to be
used to implement the software in a car manufacture industry.
STAGE 1
STAGE 2
STAGE 3
STAGE 4
STAGE 5
STAGE 6
ANALYSIS
SOFTWARE
IMPLEMENTATION
ON-LINE MODELLING
AND DATA ACQUISITION
PLAN
IEMS TEST AND
REFINEMENT
EVALUATION AND
REPORTING
EXPLOITATION
The car manufacturer provides information about the plant
First energy models are defined
Critical constrains and relevant variables are studied.
Relationships with different models are defined into the iEMS structure.
Historical and Real data is collected to define specific generation/consumption
models.
First models outputs are used to define on-line models.
Extra measurements are detected and a data acquisition plan is defined.
iEMs is implemented at SEAT facilities and plugged to live data.
The first results allow to test and refine the iEMS operation.
iEMS software is trialled and its performance is evaluated.
Energy savings and CO2 emissions are reported and validated.
The software is examined to determine its ability to be adapted to other
environments and necessary modifications are defined.
The software is prepared for its exploitation and sale to potential customers in
automotive industry.
22
23
http://www.euroenergest.eu/
info@euroenergest.eu

More Related Content

What's hot

Projects for Industries
Projects for IndustriesProjects for Industries
Projects for IndustriesLilianaSimhas
 
Energy Demand forecasting tool_Grammatikopoulos-Panapakidis
Energy Demand forecasting tool_Grammatikopoulos-PanapakidisEnergy Demand forecasting tool_Grammatikopoulos-Panapakidis
Energy Demand forecasting tool_Grammatikopoulos-PanapakidisAthanasios Grammatikopoulos
 
IRJET- Optimization of Required Power for an Electric Vehicle
IRJET-  	  Optimization of Required Power for an Electric VehicleIRJET-  	  Optimization of Required Power for an Electric Vehicle
IRJET- Optimization of Required Power for an Electric VehicleIRJET Journal
 
Analysis of vehicle power supply systems using system simulation
Analysis of vehicle power supply systems using system simulationAnalysis of vehicle power supply systems using system simulation
Analysis of vehicle power supply systems using system simulationIsabelle Cantuel
 
Next generation electric drivetrains for fully electric vehicles, focusing on...
Next generation electric drivetrains for fully electric vehicles, focusing on...Next generation electric drivetrains for fully electric vehicles, focusing on...
Next generation electric drivetrains for fully electric vehicles, focusing on...Leonardo ENERGY
 
IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...
IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...
IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...IRJET Journal
 
IRJET - A Review on Multi-Functional Multi-Ability Electric Vehicle
IRJET - A Review on Multi-Functional Multi-Ability Electric VehicleIRJET - A Review on Multi-Functional Multi-Ability Electric Vehicle
IRJET - A Review on Multi-Functional Multi-Ability Electric VehicleIRJET Journal
 
Renewable energy EV power station
Renewable energy EV power stationRenewable energy EV power station
Renewable energy EV power stationJaideepYadav12
 
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLC
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLCIRJET- Smart System for Sorting Defective Parts and Distribution Line using PLC
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLCIRJET Journal
 
Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...
Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...
Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...IJLT EMAS
 
IRJET- Automatic Reverse Breaking System for Trolley
IRJET- Automatic Reverse Breaking System for TrolleyIRJET- Automatic Reverse Breaking System for Trolley
IRJET- Automatic Reverse Breaking System for TrolleyIRJET Journal
 
Romelectro Arabia - Industry Offer 2017
Romelectro Arabia - Industry Offer 2017Romelectro Arabia - Industry Offer 2017
Romelectro Arabia - Industry Offer 2017Anka Volintiru
 
Aerospace overview 2013_rev8_final
Aerospace overview 2013_rev8_finalAerospace overview 2013_rev8_final
Aerospace overview 2013_rev8_finalBheemesh Gudelli
 
IRJET- Conversion of IC Engine Vehicle to Electric Vehicle
IRJET- Conversion of IC Engine Vehicle to Electric VehicleIRJET- Conversion of IC Engine Vehicle to Electric Vehicle
IRJET- Conversion of IC Engine Vehicle to Electric VehicleIRJET Journal
 
EPRI C&I ET Guide - FINAL
EPRI C&I ET Guide - FINALEPRI C&I ET Guide - FINAL
EPRI C&I ET Guide - FINALAndra Rogers
 
Driving business performance through sustainability: From strategy to impleme...
Driving business performance through sustainability: From strategy to impleme...Driving business performance through sustainability: From strategy to impleme...
Driving business performance through sustainability: From strategy to impleme...Schneider Electric
 

What's hot (19)

Projects for Industries
Projects for IndustriesProjects for Industries
Projects for Industries
 
Energy Demand forecasting tool_Grammatikopoulos-Panapakidis
Energy Demand forecasting tool_Grammatikopoulos-PanapakidisEnergy Demand forecasting tool_Grammatikopoulos-Panapakidis
Energy Demand forecasting tool_Grammatikopoulos-Panapakidis
 
Innovative tool for Energy Demand forecasting
Innovative tool for Energy Demand forecastingInnovative tool for Energy Demand forecasting
Innovative tool for Energy Demand forecasting
 
IRJET- Optimization of Required Power for an Electric Vehicle
IRJET-  	  Optimization of Required Power for an Electric VehicleIRJET-  	  Optimization of Required Power for an Electric Vehicle
IRJET- Optimization of Required Power for an Electric Vehicle
 
Analysis of vehicle power supply systems using system simulation
Analysis of vehicle power supply systems using system simulationAnalysis of vehicle power supply systems using system simulation
Analysis of vehicle power supply systems using system simulation
 
Next generation electric drivetrains for fully electric vehicles, focusing on...
Next generation electric drivetrains for fully electric vehicles, focusing on...Next generation electric drivetrains for fully electric vehicles, focusing on...
Next generation electric drivetrains for fully electric vehicles, focusing on...
 
I0361053058
I0361053058 I0361053058
I0361053058
 
IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...
IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...
IRJET- Study and Development of Electric Vehicle with 200 Kilometers Range an...
 
IRJET - A Review on Multi-Functional Multi-Ability Electric Vehicle
IRJET - A Review on Multi-Functional Multi-Ability Electric VehicleIRJET - A Review on Multi-Functional Multi-Ability Electric Vehicle
IRJET - A Review on Multi-Functional Multi-Ability Electric Vehicle
 
Renewable energy EV power station
Renewable energy EV power stationRenewable energy EV power station
Renewable energy EV power station
 
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLC
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLCIRJET- Smart System for Sorting Defective Parts and Distribution Line using PLC
IRJET- Smart System for Sorting Defective Parts and Distribution Line using PLC
 
Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...
Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...
Sustainable Methods used to reduce the Energy Consumption by Various Faciliti...
 
IRJET- Automatic Reverse Breaking System for Trolley
IRJET- Automatic Reverse Breaking System for TrolleyIRJET- Automatic Reverse Breaking System for Trolley
IRJET- Automatic Reverse Breaking System for Trolley
 
Romelectro Arabia - Industry Offer 2017
Romelectro Arabia - Industry Offer 2017Romelectro Arabia - Industry Offer 2017
Romelectro Arabia - Industry Offer 2017
 
Aerospace overview 2013_rev8_final
Aerospace overview 2013_rev8_finalAerospace overview 2013_rev8_final
Aerospace overview 2013_rev8_final
 
IRJET- Conversion of IC Engine Vehicle to Electric Vehicle
IRJET- Conversion of IC Engine Vehicle to Electric VehicleIRJET- Conversion of IC Engine Vehicle to Electric Vehicle
IRJET- Conversion of IC Engine Vehicle to Electric Vehicle
 
Energy efficiency solutions slide share
Energy efficiency solutions  slide shareEnergy efficiency solutions  slide share
Energy efficiency solutions slide share
 
EPRI C&I ET Guide - FINAL
EPRI C&I ET Guide - FINALEPRI C&I ET Guide - FINAL
EPRI C&I ET Guide - FINAL
 
Driving business performance through sustainability: From strategy to impleme...
Driving business performance through sustainability: From strategy to impleme...Driving business performance through sustainability: From strategy to impleme...
Driving business performance through sustainability: From strategy to impleme...
 

Similar to D1.3 public report

8 trends in automation
8 trends in automation8 trends in automation
8 trends in automationLeo Pastrana
 
Industry 4.0: Merging Internet and Factories
Industry 4.0: Merging Internet and FactoriesIndustry 4.0: Merging Internet and Factories
Industry 4.0: Merging Internet and FactoriesFabernovel
 
Capiel Motori Elettrici efficienti
Capiel Motori Elettrici efficientiCapiel Motori Elettrici efficienti
Capiel Motori Elettrici efficientiANIE Energia
 
TRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVE
TRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVETRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVE
TRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVEAKSHAY SACHAN
 
Industry 4.0 - Enabling operational excellence of packaging lines
Industry 4.0 - Enabling operational excellence of packaging linesIndustry 4.0 - Enabling operational excellence of packaging lines
Industry 4.0 - Enabling operational excellence of packaging linesStephane Potier
 
Datacenter ISO50001 and CoC
Datacenter ISO50001 and CoCDatacenter ISO50001 and CoC
Datacenter ISO50001 and CoCDidier Monestes
 
IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...
IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...
IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...IRJET Journal
 
Automatic Car Parking System Using PLC
Automatic Car Parking System Using PLCAutomatic Car Parking System Using PLC
Automatic Car Parking System Using PLCIRJET Journal
 
intelligent-management-of-electrical-systems-in-industries.docx
intelligent-management-of-electrical-systems-in-industries.docxintelligent-management-of-electrical-systems-in-industries.docx
intelligent-management-of-electrical-systems-in-industries.docxKondiVinay
 
SOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEM
SOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEMSOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEM
SOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEMVLSICS Design
 
Electric motor systems - DecarbEurope
Electric motor systems - DecarbEuropeElectric motor systems - DecarbEurope
Electric motor systems - DecarbEuropeLeonardo ENERGY
 
Motor renovation - Potential savings and views from various EU Member States
Motor renovation - Potential savings and views from various EU Member StatesMotor renovation - Potential savings and views from various EU Member States
Motor renovation - Potential savings and views from various EU Member StatesLeonardo ENERGY
 
Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...
Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...
Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...ijtsrd
 
training report. automation,plc , scada
training report. automation,plc , scada training report. automation,plc , scada
training report. automation,plc , scada MdQutubuddin1
 
A portable hardware in-the-loop device for automotive diagnostic control systems
A portable hardware in-the-loop device for automotive diagnostic control systemsA portable hardware in-the-loop device for automotive diagnostic control systems
A portable hardware in-the-loop device for automotive diagnostic control systemsISA Interchange
 
The Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of productionThe Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of productionCapgemini
 
LEGaTO: Machine Learning Use Case
LEGaTO: Machine Learning Use CaseLEGaTO: Machine Learning Use Case
LEGaTO: Machine Learning Use CaseLEGATO project
 

Similar to D1.3 public report (20)

8 trends in automation
8 trends in automation8 trends in automation
8 trends in automation
 
Industry 4.0: Merging Internet and Factories
Industry 4.0: Merging Internet and FactoriesIndustry 4.0: Merging Internet and Factories
Industry 4.0: Merging Internet and Factories
 
Capiel Motori Elettrici efficienti
Capiel Motori Elettrici efficientiCapiel Motori Elettrici efficienti
Capiel Motori Elettrici efficienti
 
TRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVE
TRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVETRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVE
TRAINING REPORT ON INDUSTRIAL AUTOMATION- PLC SCADA, VARIABLE FREQUENCY DRIVE
 
Industry 4.0 - Enabling operational excellence of packaging lines
Industry 4.0 - Enabling operational excellence of packaging linesIndustry 4.0 - Enabling operational excellence of packaging lines
Industry 4.0 - Enabling operational excellence of packaging lines
 
Datacenter ISO50001 and CoC
Datacenter ISO50001 and CoCDatacenter ISO50001 and CoC
Datacenter ISO50001 and CoC
 
IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...
IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...
IRJET- Vibration Analysis and Optimization of Housing for ECU in Automobile u...
 
Automatic Car Parking System Using PLC
Automatic Car Parking System Using PLCAutomatic Car Parking System Using PLC
Automatic Car Parking System Using PLC
 
Training 17
Training 17Training 17
Training 17
 
intelligent-management-of-electrical-systems-in-industries.docx
intelligent-management-of-electrical-systems-in-industries.docxintelligent-management-of-electrical-systems-in-industries.docx
intelligent-management-of-electrical-systems-in-industries.docx
 
PORTFOLIO_MJ
PORTFOLIO_MJPORTFOLIO_MJ
PORTFOLIO_MJ
 
PR.AW.02.pdf
PR.AW.02.pdfPR.AW.02.pdf
PR.AW.02.pdf
 
SOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEM
SOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEMSOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEM
SOFTWARE AND HARDWARE DESIGN CHALLENGES IN AUTOMOTIVE EMBEDDED SYSTEM
 
Electric motor systems - DecarbEurope
Electric motor systems - DecarbEuropeElectric motor systems - DecarbEurope
Electric motor systems - DecarbEurope
 
Motor renovation - Potential savings and views from various EU Member States
Motor renovation - Potential savings and views from various EU Member StatesMotor renovation - Potential savings and views from various EU Member States
Motor renovation - Potential savings and views from various EU Member States
 
Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...
Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...
Study and Analysis of Nonlinear Constrained Components A Study of Plug-in Hyb...
 
training report. automation,plc , scada
training report. automation,plc , scada training report. automation,plc , scada
training report. automation,plc , scada
 
A portable hardware in-the-loop device for automotive diagnostic control systems
A portable hardware in-the-loop device for automotive diagnostic control systemsA portable hardware in-the-loop device for automotive diagnostic control systems
A portable hardware in-the-loop device for automotive diagnostic control systems
 
The Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of productionThe Digital Utility Plant: Unlocking value from the digitization of production
The Digital Utility Plant: Unlocking value from the digitization of production
 
LEGaTO: Machine Learning Use Case
LEGaTO: Machine Learning Use CaseLEGaTO: Machine Learning Use Case
LEGaTO: Machine Learning Use Case
 

Recently uploaded

Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 

Recently uploaded (20)

Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 

D1.3 public report

  • 1. Public Report on WP1 Deliverable D1.3 / WP1 / TASKs 1.1 / 1.2 / 1.3 INCREASE OF AUTOMOTIVE CAR INDUSTRY COMPETITIVENESS THROUGH AN INTEGRAL AND ARTIFICIAL INTELLIGENCE DRIVEN ENERGY MANAGEMENT SYSTEM 1
  • 2. 2. The car manufacturing industry 1. Introduction 2 Index 3. The “intelligent Energy Management System (iEMS) 4. The pilot plant: SEAT Martorell 5. Conclusions and next steps
  • 3. 1.1 EuroEnergest Project 1.2 Project Consortium 1. Introduction 3 Index 2. The car manufacturing industry 3. The “intelligent Energy Management System (iEMS) 4. The pilot plant: SEAT Martorell 5. Conclusions and next steps
  • 4. This report presents the main results and conclusions of the work done during the first period of the project EuroEnergest. This document shows:  The results from the automotive industry analysis.  The general structure of an iEMS and its advantages for energy management.  A description of the SEAT Martorell plant where the system will be tested.  The process to implement the EuroEnergest software in the car manufacturing industry. 1. Introduction 4
  • 5. The aim of the project is to reduce, at least by 10%, the energy consumption in the automotive industry by developing an intelligent Energy Management System (iEMS). 1.1 EuroEnergest Project This development will be implemented on a real site (SEAT facilities, in the outskirts of Barcelona – Spain) for its industrial trials and validation. 5
  • 6. The EuroEnergest project is a collaborative project between technology centres, universities and private companies to develop a system of intelligent energy management for the automotive industry. This project is supported by the European Commission under the 7th Framework Programme 1.2 Project Consortium 6
  • 7. 2.1 The car manufacturing process 2.1 Energy and environmental impact 1. Introduction Index 2. The car manufacturing industry 3. The “intelligent Energy Management System (iEMS) 4. The pilot plant: SEAT Martorell 5. Conclusions and next steps 7
  • 8. Generally speaking, there is not one automotive manufacturing plant which is exactly like any other. Some similarities can be found among recently built ones but the old plants have been regularly updated to cope with constantly changing market needs. 2. The car manufacturing industry Initially, fully integrated factories were constructed, but over the years, the outsourcing process has generally extended and many production steps have been externalized to other companies. The profile of industrial plants is very dynamic and not a homogeneous facility. This is one of the biggest challenges of the EuroEnergest project: “to be flexibly enough in order to be adapted to this heterogeneous environment” 8
  • 9. Despite the fact that all car manufacturing processes can be standardized, they are not necessarily located within the same production environment. 2.1 The car manufacturing process Logistics (material receipt) Press Bodyshop Painting Assembly Quality review Logistics (car distribution) These vehicle production systems continue operating with the same logic but the difference is that some of their internal processes have been outsourced or there has been an improvement in terms of the technology used. 9
  • 10. With regards to energy consumption, during 2011 the average energy consumption for the production of a vehicle was 2,5 MWh (from data from major vehicle manufacturers). Variances above and below this typical value may be due both to the difference between vehicle models and the difference in the production process. 2.1 Energy and environmental impact From an environmental viewpoint, the resulting CO2 emissions from the production of vehicles, is 0,65 tons of CO2 per vehicle. Since there is a direct relationship between energy consumption and CO2 emissions, it can be assumed that the differences are due to the mix of primary energy sources used. 10
  • 11. 1. Introduction 11 Index 2. The car manufacturing industry 3. The “intelligent Energy Management System (iEMS) 4. The pilot plant: SEAT Martorell 5. Conclusions and next steps
  • 12. 3. The “intelligent Energy Management System (iEMS) An Energy Management System (EMS) is a set of tools used to manage a facilities energy information. Perhaps most importantly, intelligent energy management provides a platform that empowers real-time insight, analysis and control, as well as integration with the expanding smart grid infrastructure. Intelligent energy management solutions build on traditional and informed demand response practices by incorporating several new elements that help energy sources and energy consuming systems leverage a true, two-way dialogue. 12
  • 13. 3. The “intelligent Energy Management System (iEMS) EuroEnergest software uses information from different sources. Most important of these are weather databases, and data about the production plan. This information needs to be continually updated by means of an online server. Unfortunately, industrial processes carried out in the automotive sector are subject to strict privacy policies, leading to the introduction of limitations on information availability. For this purpose a distributed software implementation across different servers has been chosen, to enhance the protection of the company's confidential data from external attack. 13
  • 14. 14 3. The “intelligent Energy Management System (iEMS) As the software design is conceptualized today, a number of finite elements (energy generation/consumption equipment) are modeled. If required, it is possible to incorporate new models, such as the introduction of further types of renewable energy generation systems. The EuroEnergest iEMS aims to combine available energy sources (electrical/gas grid, renewable and CHP) to supply the energy demand in a car manufacturing environment. 14
  • 15. 1. Introduction 15 Index 2. The car manufacturing industry 3. The “intelligent Energy Management System (iEMS) 4. The pilot plant: SEAT Martorell 4.1 Assembly 4.2 Painting 5. Conclusions and next steps
  • 16. 4. The pilot plant: SEAT Martorell The EuroEnergest project will be implementable in any car manufacture industry, but the first industrial scale trials will be done at the SEAT Martorell factory. This SEAT factory covers a total of over 2.800.000 m2. The project will be focused on Bodyshop and Painting workshops which will be fully analyzed and monitored. 16
  • 17. 4. The pilot plant: SEAT Martorell The primary energy consumption at SEAT is 700 GWh, with gas being the most highly used energy source (550 GWh) representing a 78%. The remaining 22% is electricity from the grid (150 GWh). Part of gas supply is used to generate overheated water and electricity in the CHP. In terms of energy consumed in each workshop (540 GWh), electricity is the most high demand source (260 GWh) with the 48% of the total consumed, followed by thermal energy (200 GWh) with 37% and gas (80 GWh) with 15% 17
  • 18. 4.1 Bodywork With regards to the two workshops where the EuroEnergest system will be implanted, the bodywork processes take place in the 100.000 m2 of the workshops 1. Its main purpose is to give corrosion resistance, geometry and sealing to the cars structure. More than 1.800 employees work together with 3.000 robots. 18
  • 19. 4.2 Painting In the Painting process, more than 1.000 people work to get 2.000 cars painted every day. Approximately 75 robots are used to paint each car during the different process steps. The painting process is the most intensive in terms of electricity, thermal energy, gas and water consumption. The percentage of gas used (around 30%), is much higher than the average of the other workshops. This is due to the fact that some ovens use gas directly to provide high temperatures. 19
  • 20. 1. Introduction 20 Index 2. The car manufacturing industry 3. The “intelligent Energy Management System (iEMS) 4. The pilot plant: SEAT Martorell 5. Conclusions and next steps
  • 21. 5. Conclusions and next steps The analysis done on WP1 concludes that: One of the biggest challenges of EuroEnergest project is that the profile of industrial plants is a very dynamic and non-homogeneous As the EuroEnergest software is conceptualized today, a number of finite elements (energy generation/consumption equipment) are modeled and it is this modular structure which allows the solution of a wide range of situations. Painting and Bodywork workshop have been selected at SEAT due to their differences in energy use in their HVAC systems. They represent both the use of HVAC for comfort and process. There are significant differences between the energy used and the CO2 emission per car manufactured, but these differences may be due to differences in processes and the wide range and type of vehicles manufactured. 1 2 3 4 21
  • 22. ProjectProgress 5. Conclusions and next steps The following diagram shows the methodology, in general terms, to be used to implement the software in a car manufacture industry. STAGE 1 STAGE 2 STAGE 3 STAGE 4 STAGE 5 STAGE 6 ANALYSIS SOFTWARE IMPLEMENTATION ON-LINE MODELLING AND DATA ACQUISITION PLAN IEMS TEST AND REFINEMENT EVALUATION AND REPORTING EXPLOITATION The car manufacturer provides information about the plant First energy models are defined Critical constrains and relevant variables are studied. Relationships with different models are defined into the iEMS structure. Historical and Real data is collected to define specific generation/consumption models. First models outputs are used to define on-line models. Extra measurements are detected and a data acquisition plan is defined. iEMs is implemented at SEAT facilities and plugged to live data. The first results allow to test and refine the iEMS operation. iEMS software is trialled and its performance is evaluated. Energy savings and CO2 emissions are reported and validated. The software is examined to determine its ability to be adapted to other environments and necessary modifications are defined. The software is prepared for its exploitation and sale to potential customers in automotive industry. 22