Digital Technology Saves Energy

Digital Technology Saves Energy

In Singapore, the government and industry work hand in hand to manage costs and increase the efficient use of its energy to reduce CO2 emissions. To meet the goal of net-zero, CO2 emissions, Singapore will need to be reduced by 45% from 2010 levels by 2030. By using energy-efficient approaches and technologies, the government and companies can achieve significant savings.

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The Journey of Sustainability from a Cost to a Profit Center

The Journey of Sustainability from a Cost to a Profit Center

As ESG investments witnessed a record high last year, corporate sustainability seems to be finally evolving from an incremental investment to a strategic priority. And why not? Sustainable these days can boost profitability in more ways than one. In this blog, the author zooms in on the role of energy in the collective push toward sustainability and how digital emission tracking can make a difference.

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The Mechanisms for IT/OT Convergence

The Mechanisms for IT/OT Convergence

At an industrial scale, the amount of data just described can quickly become overwhelming since there are often thousands of sensors and instruments, with each one sending their individual streams that can combine into a torrent. This is operational technology (OT) data, but we depend on information technology (IT) techniques to put it to work, hence the IT/OT convergence. The two sides must be blended together if the data is to become useful.

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Plant Historian: Core of your Digital Transformation

Plant Historian: Core of your Digital Transformation

The pace of digital transformation is accelerating, delivering benefits from increased profitability, reduced costs, and higher productivity. In his latest blog, Nick Cross examines how Exaquantum Plant Historian is enabling companies to generate growth from plant data and is at the forefront of digital transformation.

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The Lean and Mean Trap

The Lean and Mean Trap

In recent times, there has been a shift to transforming manufacturing and production facilities into lean and mean organizations, leading to a relatively small team responsible for production. In the manufacturing world, to achieve optimal outcomes, it is necessary to expand capacity, avoid downtime, and find ways to save money while maintaining safety. But is there such a thing as becoming too lean?

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Can you Rationalize Risk?

Can you Rationalize Risk?

In his latest blog, Marcel evaluates ‘The Commodity Trap’, and its relevance to the Digital Transformation journey. When faced with the understanding and application of Digital Transformation, most customers have never encountered such a complex and technical changes before. Can you rationalise risk?

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Digital Twin - Corrosion Prediction and Digital Advisory System

Digital Twin - Corrosion Prediction and Digital Advisory System

Corrosion – it is a slow poison to plant equipment and pipelines. Its effects are often only apparent when the system has already sufficiently corroded, and destruction is either about to take place or already occurred.

Yokogawa Electric Corporation (here after will be referred as Yokogawa) and KBC (a Yokogawa company) developed a solution to this problem. Predict corrosion and inform plant people in advance so that operators can take corrective actions to avoid the disaster.

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Data Integration and Knowledge Management in the Process Industry

Data Integration and Knowledge Management in the Process Industry

Digital systems were first widely implemented in the process industries in the 1970`s. Since then there has been a sea of process data and a proliferation of databases and many attempts to integrate them using data warehouses, middleware and web services. Most of these attempts have had limited success and are difficult to maintain and scale.

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Why the time to digitalize is now

Why the time to digitalize is now

Digitalization allows you to manage day-to-day performance safely and reliably, respond to swings in market dynamics, operate at a true optimum and outmanoeuvre competition. It can turn a distracted organization that is bogged down reacting to day-to-day issues and inundated with data, information and advice, into an agile, well-tuned machine that anticipates issues and organizes to prioritize and solve them before they escalate.

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