Starkly stated sustainability targets such as ‘Net-Zero by 2030’ imply an inherent struggle, and while this may be true in certain arenas, there is a genuine opportunity to achieve environmental goals, automate accountability and improve profitability within manufacturing – all at once.

In this article, we’ll outline exactly how the right capabilities, infused with expertise, can offer a profitable and intelligent pathway to a brighter business and environmental future. Carbon is cash, and reducing your output means retaining capital and growing profitability for the future.

So how is this achieved? Firstly, by fostering a different mindset when conceptualising sustainability measures. Data on utility usage can tell you when you’ve used more or less, but this aggregated data doesn’t have the granularity to explain why. While this is fine for quantifying and reporting on consumption to participate in a carbon exchange, this approach offers no mechanisms to improve these figures. But it doesn’t have to be this way.

Success and Sustainability

Novotek Solutions delivers operational technology with a methodology shaped by a deep knowledge gained in over three decades of experience in IT domains.

We’ve led the way in delivering all our projects to a high, IT-compliant standard. Our solutions are supportable, maintainable, and extensible to keep your operation fit for the future.

In decades past, manufacturers in various sectors have embraced initiatives focused on continuous improvement, aiming to enhance production yields, improve equipment reliability, and minimise waste in materials, labour, and capital. Advanced measurement systems that track metrics like machine downtime and material usage, leading to the establishment of comprehensive factory data infrastructures, all support manufacturers’ end goals.

These systems contextualise raw data by associating it with specific details such as order numbers and product codes. Advanced platforms like Proficy Plant Applications from GE Vernova can integrate data from primary sources like water flow meters into this contextual framework. This practice of collecting detailed data related to core equipment and products results in a robust dataset, which serves multiple purposes:

1. Automating Environmental and Compliance Reporting: Using directly measured consumption data to create regulatory reports and calculate incentives.
2. Enhancing Carbon Accounting: With varying standards for translating energy consumption into emissions, having granular data allows for flexibility in reporting and adapting to evolving auditing requirements.
3. Incorporating Footprint Analysis in Continuous Improvement: Analysing measured environmental factors alongside traditional performance metrics reveals the interplay between operational changes and environmental impact. Comparing a product’s footprint data across different times or locations helps identify significant variations.

This approach allowed a major North American brewer to spot cases where energy consumption varied when all other factors were equal. Measuring energy consumption next to production orders meant it could hunt for root causes through its efficiency management system.

Root causes for relative spikes in usage ranged from inefficient process control algorithms for heating or chilling equipment, inconsistent adherence to recipe setpoints, and poor power management relative to down or idle times. The brewer utilised this insight to make recipes and procedures consistent across all sites.

The result? The brewer met a 5-year energy-savings target in just three years!

Operator Behaviour, Transparency and Compliance

As more firms conclude that a functional information strategy is a critical first step in their sustainability journey, gaining the correct capabilities to gather and process data is essential. In times gone by, multiple data collection regimens assembled reports for different purposes, such as customers or regulators, which led to inconsistencies and undue workload on operators and analysts.

The alternative is a single data platform that serves multiple stakeholders, such as GE Vernova’s Plant Applications. Through a single platform, data is gathered once at an appropriate resolution, and the same data can then be repacked for multiple purposes.

Through this method, operations can automate the management and delivery of regulatory data. Adherence to future carbon passport schemes also becomes a process through which you already have the tools to deal with.

Turning to transparency, increasingly, customers are willing to pay a premium for ‘green’ products, where you can demonstrate a complete genealogy and the positive credentials of your products in total confidence. With a comprehensive data platform in place, you have the power to track and demonstrate the exact journey a product has gone through, from raw materials to finished goods. And that is not to overlook the power of transparent data on your operation.

With greater process visibility, automated with real-time data collection, operations gain the insight required for intelligence decision-making from the shop floor to the top floor. Ingesting and utilising this data with a powerful analytics platform drives an understanding of the cause-and-effect relationships between asset performance and input consumption. This granular data is then fed into corporate EHS and carbon accounting systems, allowing true utility cost profiles to be a part of production costing and planning exercises. Manufacturers then use cross-plant metrics to accelerate best-practice identification and dissemination.

But that’s not where it ends; by embedding analytics into control and visualisation programs, operators can be presented with rich information to drive decision-making at the shopfloor level. By using intelligent systems in this way, operations can also ensure they are not held hostage to the availability of specialists.

Innovative Strategies in Sustainability

To demonstrate how adopting a manufacturing execution system can offer a ‘many birds for one stone’ solution, we can look at the capabilities and conditions of an operation both before and after implementation.

Before

Without a detailed understanding of how changing utility inputs will affect processes, efforts to be ‘green’ can cause efficiency and material losses while also potentially introducing quality or product safety risks.

The differences between equipment and processes also present difficulties in formulating an effective strategy. With better data collection, all elements of variability can be profiled – including materials used in processes.

After

Data-driven decision-making brings cost, quality and carbon footprint into balance. With the confidence to act backed by information, tuning processes and utility infrastructure ensures sustainability efforts do not compromise operational performance.

The root causes of overconsumption are more easily understood, and strategies to mitigate them can be formulated and actioned at pace.

The ‘Many Birds’ at a Glance

If we’ve demonstrated anything in this article, we hope it’s the broad scope of what’s possible when looking to drive sustainability – and reap the real rewards on offer for manufacturing! Here are the key takeaways of what’s on the table as we progress towards environmental goals:

1. Expose hidden relationships between production and sustainability factors.
   • A single MES solution provides insight into materials, recipes, assets and processes to find the root causes of the overconsumption of utilities.
2. Gain a single source of truth and improve the visibility of your consumption.
   • Granular data gathered by the single platform can be packaged, analysed and presented to serve many needs.
3. Integrate metrics and analysis to provide additional insight.
   • Automating analytics within a single, scalable platform provides value from the shop floor to the top floor and drives fast, accurate decision-making powered by information.
4. Automate regulatory compliance and power transparency and traceability.
   • Gain competitive capabilities to demonstrate green credentials to customers and other stakeholders.

Last but not least, and in a nutshell, why select Plant Applications from GE Vernova?

• Flexibility in Data Management: The platform can easily link basic time-series data from meters to a wider range of elements like materials, products, and events, all through straightforward configuration.
• Support for Multiple Stakeholders: Plant Applications offers a variety of reporting and analytics capabilities, catering to both internal stakeholders focused on improvement and external stakeholders, ensuring their diverse needs are met.
• Open and Layered Approach: Unlike many sustainability metrics systems that are manual or limited to specific sensors, Plant Applications enhances existing sensor, automation, and software investments, offering a more integrated solution.

Continue the conversation

Do you have any questions about sustainability and manufacturing? Chat to one of our friendly experts to find out more.

The manufacturing industry accounts for much of the world’s energy consumption. In 2021, manufacturing accounted for a whopping 33% of all energy consumption in the U.S. Energy Information and Administration. In Norway, industry uses almost twice as much energy as private individuals annually*. By taking steps to reduce energy consumption, manufacturing companies can make a major impact on total consumption in the world.

* Based on calculation with average figures (2022) from Statistics Norway.

Many manufacturing companies have already adopted sustainability strategies to reduce consumption and emissions, and more and more are trying to get started. With the ongoing energy crisis and rising energy costs, many manufacturing companies are dependent on reducing their energy consumption to remain competitive – or even survive. In addition, the industry faces stricter regulations and regulatory requirements related to sustainability, as well as more environmentally conscious consumers. The time to start producing more sustainably is now.

Use digital tools to implement sustainability strategies on the site floor

Although many manufacturing companies already have sustainability strategies in place, the practical challenge is implementing the strategy on the plant floor. In order to produce more sustainably, it is crucial that production personnel have access to information on a daily basis. Only with insight into energy and raw material consumption can measures be taken to optimise production.

To solve this, you should use digital tools, which give operators and other personnel the information they need, while constantly working on the production process. Access to both real-time and historical data makes it possible to make both immediate and long-term improvements in production related to energy and raw material consumption, faulty manufacturing, traceability and more.

3 steps to reduce energy consumption

How can digital tools be used in practice? Below we share 3 steps on how you can map and optimize energy consumption in the production process.

Step 1: Map – “Are we using too much energy?”

See your spend compared to your normal spending, goals or budgeted spend in real time.

• Monitor consumption related to process areas and production lines
• Record events in production
• Record shifts, time of day and weather conditions
• Compare performance across plants, products, and manufacturing teams
• See consumption compared to sustainability KPIs (e.g. production carbon emissions)

Step 2: Explain – “Why are we using extra energy?”

Leverage context from the site floor to understand how to improve resource efficiency.

• Map the resource consumption of all products
• Find inefficient equipment
• Discover unknown patterns, wrecks or opportunities for improvement
• Contextualize data to manage sustainability KPIs
• Use best practice to standardize operations

Step 3: Optimize – “How can we reduce energy consumption and costs?”

Take actions that improve operational performance and sustainability, both at the process level and throughout the plant.

• Optimize production planning for better utilization of resources
• Reduce resource consumption and associated costs
• Reduce variations in production processes
• Make your supply chain more agile and resilient
• Ensure holistic optimization of the entire production environment

Sustainable production with Proficy Smart Factory

GE Digital’s Proficy Smart Factory software comes with all the features you need to gain insight into the manufacturing process and take action for a more sustainable production. Already using a MES solution from GE Digital? Then you have all the tools you need at your fingertips!

Via the Web-based dashboard platform Proficy Operations Hub, you can access visualized data anywhere, anytime. Below you can see tutorials of six widgets that can be used to gain insight into the energy and raw material consumption of the production process.

Proficy Operations Hub widgets

Sparkline

Displays time series data. Can be used in several areas:

• See energy or water consumption over a period of time
• Correlate energy or water consumption to temperatures/precipitation/weather conditions over a period of time

Watch the Sparkline widget tutorial

Bullet Graph

Displays target value and real value.

• See your energy consumption compared to normal consumption, budgeted consumption or goals

See Bullet Graph widget tutorial

Bar Gauge, Circular Gauge and Solid Gauge

Three widgets with different visualization of value compared to bucket.

• See your energy consumption compared to normal consumption, budgeted consumption or goals

View the Bar Gauge widget tutorial

See Circular Gauge widget tutorial

Watch Solid Gauge widget tutorial

Pie Chart

Displays data values in pie or doughnut chart. Can be used in several areas:

• Illustrate how consumption of e.g. energy and water affects total costs and greenhouse gas emissions
• Show most energy-intensive processes
• View material consumption

Watch the Pie Chart widget tutorial

Join us in reversing the trend

According to Statista, it is expected that energy consumption in industry will continue to increase in the coming years. This is despite an increased focus on sustainability and several challenges for the manufacturing industry, including increased energy costs and stricter regulations and regulatory requirements.

With the right tools in place, you can make a difference – both for the environment and your own business. Do you want to help reverse the trend and work for a more sustainable industry? We’ll help you get started!

Ask us about Smart Factory and sustainability

Affordable and clean energy

Energy is the dominant contributor to climate change, accounting for around 60 per cent of total global greenhouse gas emissions. More recently, with the war in Ukraine, it has also become a national security issue. So, as well as, increasing substantially the share of renewable energy in the global energy mix and doubling the global rate of improvement in energy efficiency by 2023, energy providers also need to ensure universal access to affordable, reliable, and modern energy services.

Achieving this is a huge task, but as with the water industry, it starts with data. With data you can fuel the advanced technology needed to monitor, predict and reduce emissions. So, for instance, using advanced analytics and artifical intelligence (AI) energy companies can set and achieve emission targets. And with greater

visibility and understanding it is easier to identify cost-saving in the network. This is set against a background of an increasing number of distributed energy sources, companies, digital technologies, and solutions in use; coupled with the fact that this technology is also beginning to mainstream the bi-directional flow of power back into the grid from consumer level via domestic battery storage and generation such as solar, and vehicle to grid technology.

There is no doubt that energy systems are becoming more and more complex and multi-factorial. Therefore, the need for data to integrate, so it can be managed as a whole, becomes more vital. This is essential to provide greater insight and thereby achieve net zero.

Gathering data allows companies and policy makers to visualise and monitor the totality of the transition to a decarbonised energy system in real time. With a clearer view they can determine the direction in which the transition is moving, and the effectiveness of implemented policy. The more visibility of data, the more business and policy makers can move away toward a proactive approach, built around data driven predictions.

In summary, managing the change from fossil fuel to decarbonised power generation requires the necessary data so that a balance between the environment and business economies, can be achieved. To see how this can work in practice download this useful whitepaper.

To learn more about how Novotek can help the energy industry achieve its sustainability development goals, get in touch with us here

The clean water and sanitation goal

There are six sub-goals to this, but the one that concerns most in the developed world is:

6.3 By 2030, improve water quality by reducing pollution, eliminating dumping and minimising release of hazardous chemicals and materials, halving the proportion of untreated wastewater, and substantially increasing recycling and safe reuse globally.

In the UK, it is illegal for water companies to dump untreated sewage from discharge pipes without a permit. Yet data released by the Environment Agency revealed that water companies discharged raw sewage into English rivers 372,533 times last year. This is often due to very heavy rainfall, blockages, and unexpected equipment failures. Key to these issues, is having the data available to alert you to potential issues before they occur. These issues must be set in the context from the pressures coming from PR19, such as supply shortages and pricing, which is why there is now an additional focus on using data to address the sector’s environmental impact.

At Novotek, we are using software from GE Digital to help Water/Wastewater companies improve their operations and practices using the latest HMI/SCADA software applications. You can explore real customer examples here, but in summary these are:

• Using data analytics to detect and predict leaks within the network before they even occur. Thus, allowing preventative maintenance to take place, which in turn reduces wastage.
• Using smart monitoring of sewerage controls to prevent flooding and bursting; and combining this with metrology data to predict periods of heavy rainfall.
• Prevent wastage of fresh water by monitoring reservoir fill and usage to avoid wastage from overflow, as well as monitoring clean water pipes to avoid wastage of freshly treated water.

In practice, many water companies lack the right data systems and processes to extract meaningful predictions. There is also a lack of experience in the complex area of data analytics. Having a partner, such as Novotek, can help water companies over come these hurdles and allow them to effectively utilise the data.

Usually there are a number of key steps we go through with customers. These are:

• Conduct an audit to determine what data is currently available, where the data is, and where the gaps in data are against the objectives they are trying to achieve.
• Assessing who needs what data, and what they should do with it.
• Ensure these data systems are connected and able to communicate with each other. This might involve rearchitecting, upgrading SCADA systems, new hardware, and the use of middleware.
• Finally, presenting the data in a way that transforms it into tangible predictions or recommendations.

To find out how Novotek are helping water companies achieve their sustainability and resilience goals, get in touch with us here