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Home / Products & Industries / Katalysatoren / Applied Catalyst Technology / CLARITY Catalysts Blog Articles / CLARITY Prime Styrene
CLARITY Catalysts Blog Articles
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CA Blog Article Header Banner CLARITY Styrene Case Study 1920x450px

CLARITY Prime for Styrene Plant

Simulate. Decide. Optimize. The future of styrene plant management.

Catalysts Blog Article June 2026

What if your Styrene plant could simulate tomorrow's economics today? CLARITY™ Prime already can.

Energy costs are squeezing styrene margins. Operating decisions that once seemed low risk now carry serious financial consequences. What if — before changing a single parameter — you could see exactly what that decision would cost or save? That's what CLARITY Prime's Economic Simulator makes possible.

What would it mean for your plant to model the economic outcome of a process change before committing to it? To compare operating scenarios — each with their own cost, profit, and emissions implications — and choose the optimal path with confidence, not guesswork? For styrene producers, that capability is no longer a distant prospect. It is available today.

That is the promise at the heart of CLARITY Prime for Styrene: an AI-powered digital service platform that transforms plant operating data into economic foresight — enabling teams to simulate tomorrow's decisions with today's data, and act on the results with precision.

A track record earned across processes

To understand what CLARITY Prime brings to styrene, it helps to understand where it comes from  — and how far it has already evolved.

Clariant's digital catalyst journey began with a clear goal: replace fragmented, spreadsheet-driven workflows with a single secure platform that connects plant operators and Clariant catalyst experts, enabling evidence-based, collaborative decision-making at scale. That platform is CLARITY.

The evolution that followed has been defined by two clear phases. The first established the data foundation — secure, customizable dashboards for real-time performance monitoring, creating the infrastructure for everything that would come next. The second has been defined by intelligence: deploying AI and machine learning to translate accumulated operational data into actionable, plant-specific insights. Today CLARITY connects 250+ plants across 38 countries, serving 800+ customer users from 100 companies, supported by 250+ Clariant experts worldwide.1

What makes that scale meaningful is not just its size — it is the diversity of processes in which the platform has been tested, challenged, and proven. Every application has sharpened CLARITY's capability. Every plant has deepened its real-world credibility.

The image is a presentation slide titled **“CLARITY™ – Global Implementation Success”**.

### Key figures shown:
- **250+ Plants**
- **100+ Companies**
- **800+ Customer users**
- **38 Countries**

### Regional implementation counts:
- **Americas:** 60+ plants
- **Europe:** 40+ plants
- **Greater China:** 50+ plants
- **MENA:** 30+ plants
- **APAC:** 40+ plants

### Notes:
- The slide includes a light blue globe graphic in the background.
- Bottom-right text says: **“Figures as of June 2026”** and **“Source: Clariant”**.

If you want, I can also turn this into a concise summary, extract the text exactly, or describe the chart layout.

Figure 1. From the Americas to Greater China — CLARITY's global reach spans every major chemical producing region, forming the connected backbone of Clariant's digital catalyst service. (Source: © Clariant)

Intuition replaced. Confidence delivered. Indorama.

At Indorama's world-scale fertilizer facility in Port Harcourt, Nigeria, CLARITY Prime's automated alerts enabled the team to optimize the high temperature shift (HTS) reactor's inlet temperature to improve CO slip performance. Simultaneously, the catalyst performance projection tool transformed turnaround planning — from intuition-driven to fully data-driven — reducing uncertainty and increasing confidence in every critical decision.2

This image shows a **CLARITY™ Prime Dashboard Overview** for an **HTS & LTS Catalyst Performance Projection Tool**.

### What’s visible
- **Simulation parameters** at the top:
  - Past data: **3 months**
  - Prediction time window: **3 years**
  - Acceptable CO slip (HTS): **3.50**
  - Acceptable CO slip (LTS): **0.30**
- **Simulation scenarios** section with tabs:
  - **Base Case**
  - **Inlet Temp Optimization**
- An **inputs table** listing time-based changes for variables like:
  - NG feed flow to PR
  - PR steam to carbon ratio
  - PG inlet to HTSC temperature
  - PG inlet to LTSC temperature
- A **Run simulation** button in the center-right
- A **Simulation summary** panel showing predicted lifetimes for both scenarios

### Key results shown
- **HTS acceptable CO slip**
  - Base Case: **1 year 10 months**
  - Inlet Temp Optimization: **2 years 7 months**
- **LTS acceptable CO slip**
  - Base Case: **9 months**
  - Inlet Temp Optimization: **1 year 11 months**

### Overall takeaway
The **Inlet Temp Optimization** scenario appears to improve predicted catalyst lifetime compared with the **Base Case** for both HTS and LTS.

If you want, I can also **extract all visible text** from the dashboard or **summarize the data table row by row**.

Figure 2. CLARITY Prime's performance projection interface in operation at Indorama's ammonia facility, Port Harcourt, Nigeria. (Source: © Clariant & CLARITY)

Network-wide reach. Prime where it leads. Yara.

At Yara, CLARITY was adopted across its entire worldwide network of ammonia production facilities. One site advanced to CLARITY Prime's full suite of advanced capabilities — including soft sensors for critical measurements, a catalyst lifetime projection tool, and an interactive shift optimizer. Retrospective analysis at that plant revealed daily energy savings potential of 20–40 GJ, translating into annual cost reductions of €100,000–200,000.2

Chart showing retrospective optimization potential for catalyst CO slip, with lines for observed and optimized performance versus catalyst time on stream.

Figure 3. Retrospective analysis via CLARITY Prime uncovering energy optimization potential at a Yara ammonia plant. (Source: © Clariant & CLARITY)

Hidden patterns. Gains that count. CATOFIN & Ethylene.

The platform's pattern recognition capabilities have proven equally powerful in dehydrogenation and olefins applications. At a CATOFIN propylene dehydrogenation plant, pattern recognition tools revealed an 81% correlation between feed impurity levels and increased off-gas flow — a relationship entirely invisible to conventional monitoring, and one that unlocked a new level of process understanding for the operating team.2 In ethylene production, CLARITY's embedded tools helped optimize an acetylene converter, delivering 670 additional tons of ethylene over just six months — demonstrating that the platform's value is not limited to alerting, but extends to active, quantifiable production improvement.2

These are not isolated results. They are evidence of a platform that has earned its credibility across some of the most demanding catalyst applications in the chemical industry — and that now brings that same intelligence, rigor, and proven capability to styrene.
CLARITY case study infographic showing CATOFIN plant feed contamination analysis and a chart of higher byproduct formation over time

Figure 4. CLARITY Prime's data visualization tools identifying feedstock quality deterioration at a CATOFIN propylene dehydrogenation plant. (Source: © Clariant & CLARITY)

Each of these outcomes shares a common logic: the platform does not simply tell operators what is happening. It tells them what they should do about it — and increasingly, what it will cost them if they do not.

Act before it becomes a problem. Know before it happens. Advanced Alerting.

In styrene production, the margin between an early warning and a costly operational problem can be narrow. Heat exchangers operating under the plant's harsh conditions are particularly vulnerable — leaks can develop gradually and, if undetected, directly impair catalyst performance and compromise reactor inlet temperatures before operators even register a problem.

CLARITY Prime's Advanced Alerting is built precisely for situations like this. It goes beyond simple deviation flags — it continuously monitors the heat balance at critical points throughout the system, automatically calculates the heat balance around the mixer of the 1st reactor, and the moment a threshold breach is identified, it generates a detailed alert that is instantly visualized in a chart, alongside a real-time gauge graph showing the current magnitude of deviation. No ambiguity. No delay. Just a clear signal and a clear next step.

Built for Styrene: From intelligence to economic advantage

That logic finds its fullest expression yet in CLARITY Prime for Styrene. Purpose-built for the specific dynamics of styrene production — where steam-to-oil (S/O) ratio management, catalyst lifetime planning, and plant profitability are tightly interconnected — it brings together three interlocking capabilities that move catalyst management from reactive to genuinely predictive, and from operational to commercial.

The image is an infographic titled **“Identifying Heat Exchanger Leakage”** for a styrene plant.

### Main points shown:
- **Problem:** Heat exchangers in styrene plants can leak under harsh operating conditions, affecting catalyst performance.
- **Challenge:** Detecting leaks during operation is difficult, so continuous monitoring of heat balance is needed.
- **Solution:**  
  - Continuous monitoring and threshold-based visualization via CLARITY  
  - Automated data analysis calculating heat balance around the mixer of the 1st reactor  
  - Verification of leakage through detailed analysis and operating-condition optimization

### Visual evidence in the chart:
- The chart shows **deviation in inlet temperature** between:
  - **Reactor 1 inlet temperature**
  - **Reactor 1 inlet temperature (calculated)**
- An alert is automatically generated and displayed when the deviation appears.
- The gauge graphs at the bottom show increasing deviation values:
  - **4.40 °C**
  - **10.09 °C**
  - **12.84 °C**

### Overall message:
The graphic demonstrates how **automated monitoring can detect heat exchanger leakage early** by identifying abnormal temperature deviations and triggering alerts.

Figure 5. CLARITY Prime Advanced Alerting in action: Automated detection of heat balance deviation at the 1st reactor mixer inlet, with real-time chart visualization, gauge graph, and step-by-step verification workflow. (Source: © Clariant & CLARITY)

See what's coming. Shape what happens next. AI-Powered Performance Projection

Waiting for catalyst performance to decline before acting is the most expensive strategy in plant operations. CLARITY Prime's Styrene Catalyst Performance Projection tool supports to prevent that reactive cycle.

Built on hybrid models that combine machine learning speed with process engineering rigor and calibrated specifically to each customer's plant configuration and operating history, the tool enables operators to model, compare, and optimize future run scenarios with genuine plant-specific accuracy. Multiple future strategies can be evaluated side by side — their performance trade-offs understood, their optimal path identified — before any process change is made.

Scenario planning stops being an occasional exercise. It becomes an everyday operational advantage.

In styrene production, the ability to detect and act on pressure drop anomalies early translates directly into protected productivity and optimized catalyst run length.

Infographic showing CLARITY Prime dashboard for styrene plant catalyst performance projection, with problem, challenge, solution, and simulation charts.

Figure 6. When turnaround timing is driven by economics, not just performance — CLARITY Prime's projection tool models multiple catalyst lifetime scenarios, empowering plant teams to make the call with data, not instinct. (Source: © Clariant & CLARITY)

"The hybrid modelling approach means our projections are grounded in both the underlying physics of the process and the specific operating history of the plant. That combination gives customer, and our own technical teams, genuine confidence in what they are seeing."


Matthias Feigel
Modelling Expert
Clariant Applied Catalyst Technology

The image shows a person in a navy blazer and light dress shirt standing indoors, likely in a professional or formal setting. The face is obscured by a solid rectangle, so I can’t identify the person.

If you want, I can also help with:
- describing the outfit in more detail
- assessing the photo’s composition or lighting
- suggesting edits for a professional headshot

See the value. Make the call. The Economic Simulator

Technical optimization only creates value when it translates into commercial outcomes. CLARITY Prime's Styrene Plant Economic Simulator closes that gap — converting performance projections directly into the language of commercial decision-making.

Want to know the financial impact of adjusting your steam-to-oil ratio? The cost difference between two operating strategies? The CO₂e emission implications of each path? The simulator answers all of these simultaneously and side by side — with the plant-specific rigor needed to act with confidence, not just analyze with curiosity.

Diagram of CLARITY Prime economic simulator showing benefits, data input, hybrid model, and cost comparison output

Figure 7. CLARITY PRIME Economic Simulator — turning catalyst data into profit optimization and sustainability insights for styrene producers. (Source: © Clariant)

The modelled scenarios make a compelling case. For a representative styrene plant, reducing the S/O ratio by just 0.1 wt./wt. over a 30-month catalyst lifetime points to an economic benefit exceeding $3M — an optimization the simulator can identify and model, enabling plant teams to evaluate with confidence before committing to a direction. In a separate modelled scenario, the tool supported a 6-month extension of catalyst lifetime by pinpointing the optimal operating path for that plant's specific conditions.

Infographic of a styrene plant techno-economic analysis dashboard showing problems, challenges, and solution benefits.

Figure 8. CLARITY PRIME Economic Simulator — turning catalyst data into profit optimization and sustainability insights for styrene producers. (Source: © Clariant & CLARITY)

"The economic simulator fundamentally changes the conversation we have with customers. We are no longer just showing a performance curve, we are showing them what that curve is worth, in their own economics, before thy commit to any decision."


Wolf Spaether
Global Head of Product Management & Strategic Marketing
Clariant Catalysts Ethylene

The image shows a man in a business suit standing with his arms crossed in an office-like setting. His face is obscured by a solid rectangular blur. The background has glass walls, reflections, and bright windows, giving it a modern corporate feel.

When margins are tight and emissions accountability is non-negotiable, the ability to simulate before you decide is not an edge — it is a fundamental shift in how catalyst management drives business performance.

The Future isn’t waiting. Neither should you.

CLARITY Prime for Styrene is not a standalone tool — it is part of a broader and deliberate transformation in how Clariant serves its customers. The vision is clear: fully digital technical service by 2030, built on the understanding that digital enablement means shorter response times, earlier recommendations, and faster, better-informed decisions across the entire catalyst lifecycle.

The role of AI in that vision is equally clear: not to substitute human expertise, but to sharpen it — giving plant teams the tools to act earlier, decide with confidence, and extract more value from every stage of the catalyst lifecycle. As the platform has already demonstrated across ammonia, propylene, and ethylene production, this future is not being planned. It is being built — plant by plant, process by process, insight by insight.

The question for styrene producers is no longer whether to bring this kind of intelligence into their operations.

The question is simply: why wait until tomorrow to simulate it?

CLARITY Prime for Styrene is available now. Visit CLARITY Prime to explore the platform, or contact your Clariant technical service representative to request a demo tailored to your plant's operating conditions.

From first insight to full optimization, begin your exploration

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References

¹ Clariant CLARITY platform, actual adoption data as of April 2026.

² Cokoja, F., Basilides Schwarz, C., and Krumpholz, L., 'Wielding the Power of AI', Hydrocarbon Engineering, August 2025.

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