Log in
Log in
Or log in with
GoogleGoogle
Twitter Twitter
Facebook Facebook
Apple Apple     
Sign up
Or log in with
GoogleGoogle
Twitter Twitter
Facebook Facebook
Apple Apple     
  1. Homepage
  2. Equities
  3. France
  4. Euronext Paris
  5. Schneider Electric SE
  6. News
  7. Summary
    SU   FR0000121972

SCHNEIDER ELECTRIC SE

(SU)
  Report
Real-time Euronext Paris  -  11:35 2022-09-27 am EDT
113.12 EUR   -0.93%
06:26aFrench finance minister: nomination of new boss for energy group EDF is imminent
RE
04:37aFrench Government Close to Nominating New EDF Boss
MT
03:10aFrench finance minister: nomination of new boss for energy group EDF is imminent
RE
SummaryQuotesChartsNewsRatingsCalendarCompanyFinancialsConsensusRevisionsFunds 
SummaryMost relevantAll NewsAnalyst Reco.Other languagesPress ReleasesOfficial PublicationsSector newsMarketScreener Strategies

Schneider Electric : Advanced Process Control and AI helps Taiwan Refinery Capture $4.2M in Operational Benefits

03/19/2020 | 12:43pm EDT

Across the globe, process industry firms, including those serving downstream oil & gas industry supply chains, are actively seeking opportunities to modernize and optimize their operations. In Taiwan, stakeholders managing a leading refinery have made it a priority to focus on two areas for reducing operational expenses and increasing profits: energy consumption reduction and increases in throughput. They are deploying a unique combination of advanced process control (APC) and artificial intelligence (AI) technologies across critical application areas (like crude oil distillation) in order to cut costs.

Because crude oil is extracted from the ground, the salt content within the crude can be high which can quickly erode pipelines. Therefore, the first desalination process removes salt. Then, in devices called fractionating columns, end products like liquefied natural gas, light oil, aviation fuel, diesel, and heavy oil are vaporized at different points, extracted from the crude, and then distributed to global markets.

Petrochemical processing operations are complex and require a high level of precise control over temperatures, chemical blending and refinement sequencing procedures. The processing of the raw materials is complicated. The crude oil components from the supplier oil wells are completely different from each other, and the production process is required to output multiple products simultaneously. The number of process variables is very high and the potential for cost-generating delays and errors are always present. For these reasons, the refinery invested in a team focused on the use of AI and APC technologies for reducing costs and generating higher profits.

Experts converge to improve operational predictability

Although technology plays a critical role managing the complexities, human expertise is required to properly design such systems and to make them operate in a predictable, efficient manner. This is where companies like Schneider Electric and AVEVA, equipped with a rich portfolio of high precision control hardware and software and a local team of experienced software and chemical engineers provided support.

To help the refinery decrease energy costs, our local Taiwan team delivered an advanced process control system to reduce process variability and stabilize unit operations. The net result was the ability to process materials closer to their operating constraint limits within distillation tanks (a standard deviation improvement of approximately 50%) which has translated into lower net energy consumption per unit of throughput,

This system also helps to determine the processing scenarios required to achieve the desired production rate of products at maximum profit, or minimum cost, while satisfying the refinery's fuel supply obligations. The result is greater operating flexibility in response to changing market and plant conditions, and improved reliability. In fact, plant operators are reporting throughput improvements and energy savings of approximately $4.2 Million US per year.

New AI technologies further support cost reduction initiatives

Recently, new AI tools have been deployed to collect data from plant machines, use that data to build performance models, and make predictions based on the model. Comparisons are made between the 'to be' model and a database of 'as is' real-time information. A machine learning engine in the AVEVA software provides early warning notification and diagnosis of equipment behavior anomalies days, weeks and even months prior to an actual failure occurring.

As a result, the system can provide early warning indications of equipment failure or deteriorated performance. This provides valuable insights to Engineering & Operations teams to support their decision-making process and to reduce the unexpectable production loss.

Working in tandem with the local Schneider Electric/AVEVA teams, refinery operators enjoy the benefits of a consultative relationship. The collective talent pool of local experts aligns with the refinery's process control technology base, which makes it easier to overcome operational and production cost challenges.

Click here to learn how EcoStruxure™ can support your Oil and Gas industry modernization projects, Also view video below to further learn how we deliver industrial automation solutions to control efficiency and reliability across the value chain.

Disclaimer

Schneider Electric SE published this content on 19 March 2020 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 19 March 2020 17:42:01 UTC


© Publicnow 2020
All news about SCHNEIDER ELECTRIC SE
06:26aFrench finance minister: nomination of new boss for energy group..
RE
04:37aFrench Government Close to Nominating New EDF Boss
MT
03:10aFrench finance minister: nomination of new boss for energy group..
RE
09/26Schneider Electric : Oferta Pública de Distribuição de ações reservada a trabalhadores da ..
PU
09/26Schneider Electric Delivers New Data Centre Cooling Infrastructure for University Colle..
CI
09/26Schneider Electric, Aveva to Boost Net-Zero Transition Under Shell Collaboration
MT
09/26Schneider Electric : and AVEVA partner with Shell to accelerate net-zero transition in har..
PU
09/26Schneider Electric : Can going electric reduce your energy consumption?
PU
09/23Two Aveva shareholders plan to oppose Schneider takeover offer
RE
09/23MarketScreener's World Press Review : September 23, ..
MS
More news
Analyst Recommendations on SCHNEIDER ELECTRIC SE
More recommendations
Financials
Sales 2022 33 234 M 31 901 M 31 901 M
Net income 2022 3 679 M 3 531 M 3 531 M
Net Debt 2022 7 698 M 7 389 M 7 389 M
P/E ratio 2022 17,5x
Yield 2022 2,69%
Capitalization 62 795 M 60 275 M 60 275 M
EV / Sales 2022 2,12x
EV / Sales 2023 1,99x
Nbr of Employees 128 000
Free-Float 91,0%
Chart SCHNEIDER ELECTRIC SE
Duration : Period :
Schneider Electric SE Technical Analysis Chart | MarketScreener
Full-screen chart
Technical analysis trends SCHNEIDER ELECTRIC SE
Short TermMid-TermLong Term
TrendsBearishNeutralBearish
Income Statement Evolution
Consensus
Sell
Buy
Mean consensus OUTPERFORM
Number of Analysts 21
Last Close Price 113,12 €
Average target price 153,63 €
Spread / Average Target 35,8%
EPS Revisions
Managers and Directors
Jean-Pascal Tricoire Chairman & Chief Executive Officer
Hilary Maxson Chief Financial Officer & Executive Vice President
Premraj Krishnakutty Vice President-Research & Development
Léo Apotheker Director
Linda I. Knoll Independent Director
Sector and Competitors
1st jan.Capi. (M$)
SCHNEIDER ELECTRIC SE-33.79%61 145
KEYENCE CORPORATION-31.71%82 932
EATON CORPORATION PLC-22.38%53 185
EMERSON ELECTRIC CO.-20.58%43 248
NIDEC CORPORATION-35.21%34 880
AMETEK, INC.-22.18%26 096