Role of Control Systems in Achieving Sustainability Targets

The operational philosophy for a green ammonia plant shifts from the constant-load, high-volume, and fossil-fuel-intensive Haber-Bosch (H-B) process to a highly flexible, modular, and dynamic control strategy designed to match the intermittency of renewable energy sources (wind/solar). Key Philosophies in Green Ammonia Control Dynamic Load Following: Unlike traditional plants, green ammonia plants are designed to start up, stop, and ramp up/down quickly (10-15 minutes) to adapt to fluctuating hydrogen supply, rather than operating at a constant capacity.Modular Architecture: The adoption of modular, smaller-scale units allows individual electrolysis cells or synthesis blocks to be shut down during low renewable energy availability, maximizing the efficiency of the remaining operational units.Decentralization & Flexibility: Small-scale, distributed production near renewable energy sources reduces reliance on large, centralized infrastructure and enables better utilization of stranded energy.Integration with Hydrogen Storage: To maintain a constant H-B synthesis loop (which prefers steady state), control strategies often integrate hydrogen storage buffers between the electrolyzers and the ammonia plant to smooth out production fluctuations. Control Strategies and Techniques Advanced Process Control (APC) & AI: Modern plants employ AI-managed systems to manage variable energy inputs from renewables. APC is used to optimize the ammonia loop, maximize catalyst activity, and ensure safe operation during rapid ramping.PID Tuning for Stability: Control systems, such as PID parameters, are tuned to handle the transient states associated with load adjustments to ensure stability, particularly during transitions from low to high power.Plant-Wide Control (PWC): The focus is on implementing "self-optimizing control" to keep key parameters, such as inerts concentration, at optimal levels even while the throughput varies.Safety Instrumented Systems (SIS): Due to the high pressure of the synthesis loop and the dynamic nature of operation, advanced SIS and automated, safe shutdown sequences are critical components of the control philosophy. Key Performance Drivers Minimizing LCOA: The ultimate goal is to minimize the Levelized Cost of Ammonia (LCOA) by balancing the high operational cost of electrolyzers with the need for flexible operation.Efficiency under Partial Load: Control systems are optimized to maintain high efficiency even when operating at reduced capacities, addressing the higher energy consumption of green ammonia production (10-11 MWh/T \(NH_{3}\)) compared to fossil-based methods. 

Carbon Reduction with your BAS? Low-cost building automation strategies can play a significant role in achieving carbon reduction goals by optimizing energy use, improving operational efficiency, and reducing waste. Here are some strategies that can be implemented to help reduce carbon emissions without significant capital investments: Energy Monitoring and Benchmarking: Implement a basic energy monitoring system to track and benchmark energy use across the building. Many energy management systems can be integrated with BAS for minimal cost. Identifies areas of excessive energy consumption, allowing for targeted improvements, reducing waste and carbon emissions. Optimized HVAC Schedules: Use BAS to automate HVAC schedules based on occupancy, seasonality, and operational needs. Turn off or reduce HVAC operations during unoccupied hours or in unused spaces. Reduces energy consumption and emissions from heating, ventilation, and cooling systems. Setpoint Optimization: Adjust temperature setpoints slightly (e.g., increasing cooling setpoints or reducing heating setpoints) within comfortable ranges. Small setpoint changes can lead to significant energy savings over time, reducing carbon emissions from HVAC systems. Demand-Controlled Ventilation (DCV): Integrate sensors that measure CO2 levels in spaces to control ventilation rates dynamically, providing fresh air only when needed based on occupancy. Reduces the energy required for ventilation, cutting down on unnecessary heating or cooling of outdoor air. Lighting Control Systems: Install automated lighting controls (e.g., motion sensors, daylight harvesting) and integrate them with the building automation system to optimize lighting use. Reduced lighting energy consumption translates directly to lower electricity use and carbon emissions. Variable Frequency Drives (VFDs) for Motors: Add VFDs to fans, pumps, and other motor-driven systems, allowing their speed to adjust based on demand rather than running at full capacity. VFDs reduce energy consumption by matching motor speed to actual demand, reducing energy waste and carbon output. Continuous Commissioning: Use BAS data to continuously monitor building systems and performance. Identify inefficiencies and make ongoing adjustments to optimize energy use. Ensures systems are running efficiently, preventing energy waste and emissions over time. Free Cooling (Economizers), Ensure that economizers are properly maintained and optimized to use outside air for cooling when outdoor conditions are favorable. Reduces the need for mechanical cooling, saving energy and cutting emissions. Remote Monitoring and Management: Use remote monitoring and automation tools to adjust system settings and identify energy-saving opportunities without requiring onsite personnel. Allows for better oversight and proactive adjustments, avoiding wasted energy and unnecessary emissions. These strategies, when combined with an ongoing commitment to energy

𝗥𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀: 𝗙𝗿𝗼𝗺 𝗩𝗶𝘀𝗶𝗼𝗻 𝘁𝗼 𝗦𝘆𝘀𝘁𝗲𝗺𝗶𝗰 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 Sustainability in manufacturing is no longer a choice — it's a strategic mandate. The challenge now is achieving it at scale, without sacrificing agility, innovation, or operational excellence. The answer? 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻-𝗗𝗿𝗶𝘃𝗲𝗻 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴. Supported by emerging architectures , digital twins are enabling real-time, closed-loop ecosystems that: Optimize across entire product life cycles Integrate physical + virtual operations via bidirectional mapping Drive sustainability KPIs across design, production, logistics, service, and sales 𝗪𝗵𝗮𝘁’𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗔𝗯𝗼𝘂𝘁 𝗧𝗵𝗶𝘀 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵? Unlike fragmented automation strategies, this model leverages: 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: AI, IoT, 5G, and cloud computing fuse data across device, unit, production line, and workshop levels — enabling simultaneous simulation, prediction, and adaptation. 𝗛𝘂𝗺𝗮𝗻-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗗𝗲𝘀𝗶𝗴𝗻: Humans remain embedded in the decision loop — augmented by digital intelligence for context-aware control, real-time optimization, and faster feedback. 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Sustainability isn’t a bolt-on. It’s woven into every phase via intelligent sensing, predictive control, and traceable emissions modeling — from CNC machining to after-sales service. 𝗧𝗵𝗲 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗶𝗻 𝗔𝗰𝘁𝗶𝗼𝗻 The architecture spans three interlinked layers: 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗘𝗾𝘂𝗶𝗽𝗺𝗲𝗻𝘁: Intelligent, energy-efficient machines with real-time monitoring and predictive capabilities 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: MES- and ERP-enabled operations, horizontally integrated and vertically scalable 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Lifecycle-aware offerings that support mass customization, dynamic scheduling, and resource optimization 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗮𝗯𝗹𝗲𝗿𝘀 With this digital twin model, sustainability becomes a measurable, manageable, and improvable system, driven by: • Carbon-aware design frameworks • Real-time emissions tracking during production • Dynamic logistics flow optimization • Energy-aware resource planning (ERP) • Predictive maintenance to reduce waste and downtime 𝗧𝗵𝗲 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗣𝗮𝘆𝗼𝗳𝗳 30–50% gains in energy efficiency 20–40% reduction in unplanned downtime Lifecycle carbon footprint modeling and optimization Intelligent decision-making underpinned by data transparency Digital twin-driven sustainable manufacturing is the blueprint for resilient, low-carbon, high-performance industries in the age of Industry 4.0. Ref: Digital twin-based sustainable intelligent manufacturing- Bin He & Kai-Jian Bai 

Dynamics and Control: The Key to Efficiency and Sustainability in Chemical Processes Process dynamics and control are fundamental elements for achieving efficiency and stability in chemical industries. By understanding system dynamics and designing effective control strategies, productivity can be improved, safety ensured, and costs reduced, making them indispensable in modern industrial operations. Dynamics and Control: Concept and Importance Dynamics: Studies how chemical systems respond to changes in operational variables, such as pressure and temperature. Control: Utilizes tools like traditional (PID) control systems, predictive control, and intelligent control to regulate processes and ensure stability. Practical Applications Distillation Towers: Require precise control to ensure product purity and minimize energy consumption. Chemical Reactors: Stability depends on thermal control to prevent hazardous fluctuations. Heat Exchangers: Achieve thermal efficiency by regulating fluid flows and temperatures. Environmental Processes: Ensure efficient waste and water treatment, supporting sustainability. Challenges and Solutions Challenges: Include nonlinear systems, time delays, and environmental disturbances. Solutions: Implement predictive control techniques and leverage artificial intelligence to analyze and optimize performance. Dynamics and control are the foundation of sustainable and efficient chemical processes. With technological advancements, control systems are becoming smarter, supporting industrial progress and enhancing resource sustainability.

IT/OT framework for Biogas Plants As biogas becomes a critical part of the energy sector, the industry needs to develop new techniques to improve efficiency and meet demand. Biogas plants have recently begun using information technology (IT) and operational technology (OT) together to increase performance and sustainability. Understanding how IT and OT fit into the sector and where they support each other is critical for taking biogas further. IT systems handle data storage and collection, analyzing information so organizations can make better business decisions. It also ensures people across the brand can access the data they need to perform well. IT enables biogas plants to use: *Real-time data collection: IT platforms can gather and analyze data from sensors and systems around the plant. They track key performance indicators, letting operators see how efficient each is. Data also tells them when there are potential issues, letting them detect and solve problems early. *Predictive maintenance: Plant data tells operators when equipment is predicted to fail or need maintenance. They can identify mechanical issues, stop them and prevent downtime. Additionally, they can set maintenance schedules to avoid emergency response repair fees. *Remote management: IT lets operators watch and control plant processes from any location. Remote management makes managing plants convenient from anywhere, without delays. *Automation and tracking: IT-enabled systems can automate reports and dashboards so managers can automate simple tasks and track operations more easily. Detailed tracking improves compliance and sustainability without increasing manual work. OT Support in Biogas Plants While IT deals with front-end data, OT covers the back-end information. It supports plants' control systems, ensuring they can run safely and efficiently. Here's how OT supports biogas plant success: *Oversees safety: OT hardware and safety systems control gas flow and temperature regulation. They monitor production, keeping levels within safe limits. Automated protocols trigger alarms or shut down processes if these limits are exceeded. *Controls physical devices: OT systems also handle small details for physical devices like digesters. They can regulate variables like agitation and feedstock input, maintaining precise device conditions. *SCADA monitoring: Supervisory control and data acquisition (SCADA) systems are innovative OT solutions. These collect real-time data from components like gas processing units and compressors, creating a centralized plant control system. . Integrating IT and OT brings biogas operations into one seamless operation. Instead of separating these processes, plants can create interconnected, efficient systems. Operators can then get a more comprehensive view of plant operations, respond to issues more quickly and make more informed decisions. #biogas #biomethane #dataanalytics #automation #efficiency #yield #analytics #measurement

 HVAC Controls in Energy Optimization Heating, Ventilation, and Air Conditioning (HVAC) systems are among the largest energy consumers in buildings—often accounting for 40–60% of total energy use. Advanced HVAC controls play a critical role in optimizing this energy consumption, ensuring not only operational efficiency but also thermal comfort and system reliability. How HVAC Controls Optimize Energy Use: 1. Variable Speed Drives (VSDs) Adjust fan and pump speeds based on actual load. Reduce energy use during partial load conditions by 30–50% compared to constant-speed operation. 2. Zone-Level Controls Occupancy sensors, CO₂ sensors, and thermostats enable demand-based ventilation. Prevents overcooling or overheating unoccupied zones. 3. Advanced BMS Integration Building Management Systems (BMS) allow for centralized control and scheduling. Can optimize chiller staging, AHU setpoints, economizer cycles, etc. 4. Temperature Reset Strategies Automatically adjust chilled water or supply air temperatures based on outside air conditions or demand. Minimizes compressor and pump load during mild conditions. 5. Night Setback / Free Cooling Systems reduce or shut off HVAC during unoccupied hours. Airside economizers use cool outdoor air to offset mechanical cooling. 6. Fault Detection and Diagnostics (FDD) Identifies inefficiencies like simultaneous heating/cooling, stuck dampers, or sensor drift. Ensures corrective action before energy waste escalates. "In green-certified buildings (LEED, WELL, Estidama), proper HVAC control strategies can contribute up to 30–40% energy savings and are often a prerequisite for energy performance credits." HVAC controls are not just about automation—they are about intelligent, responsive systems that adapt to building needs in real-time. As energy codes tighten and net-zero becomes a priority, controls are the brain of HVAC optimization. Mohd Ajas Ali #LEED #Estidama #PBRS #Datacenter #ICA ASHRAE Abu Dhabi City Municipality Siemens Honeywell Schneider Electric Industrial Automation Johnson Controls

We are currently transforming our energy systems to eliminate fossil fuels. We need to discuss how we can successfully design and manage the energy system to ensure continuous stability and reliability, beyond just balancing fluctuating wind and solar power. I have written an article on the stability and resilience of future renewable power system, featured in the latest issues of Ingeniøren here: https://lnkd.in/dznN66pV. The article is available on the webpage of DTU - Technical University of Denmark here: https://lnkd.in/dnjprZ-d and https://lnkd.in/deuR2NhN (UK). The article emphasizes the crucial role of digital control and the need for system research and development in ensuring the stability and resilience of our energy systems. 🔍 Key Messages: - Digital Control is Essential: To maintain stability in a renewable energy system, we must develop advanced digital control mechanisms. - Stability and Resilience Need to be Better Understood: Through research and development, we need to better understand how to design and manage renewable-based systems with a high share of power converters to ensure stability and resilience. - We Need to Develop Experimental Facilities: It is crucial to develop experimental facilities that can capture the fast dynamics of future renewable-based power systems to enable the development of necessary solutions. Stay tuned for more insights and developments from our ongoing projects at DTU Wind and Energy Systems. Together, we are paving the way for a resilient energy future!  #DTU #Energinet #PowerLabDK #SustainableEnergy #GridTech #ResilienceTech #Innovation #EnergySystems #RenewableEnergy #DigitalControl #PowerSystems #ResearchAndDevelopment ResilienceTech #GridTech

Luxury and sustainability are no longer competing priorities. In fact, the most forward-thinking organisations are using technology to achieve both. Too many buildings still operate as if every room is occupied and every hour is peak demand. Lights stay on. HVAC systems run at full capacity. Resources are consumed whether they're needed or not. The result? Higher operating costs, unnecessary waste, and missed sustainability targets. This is where smart automation and IoT are changing the game. With occupancy sensors and intelligent controls: ✅ Lighting adjusts automatically based on usage ✅ HVAC systems respond to real occupancy instead of fixed schedules ✅ Waste tracking provides actionable data instead of assumptions ✅ Teams gain visibility into inefficiencies they couldn't previously see The best part? Guests and occupants often don't notice any difference in their experience. Because true sustainability isn't about sacrificing comfort. It's about eliminating waste that adds no value. The organisations making the biggest sustainability gains aren't working harder. They're making their buildings smarter. What's the biggest sustainability challenge you're currently trying to solve? #Sustainability #SmartBuildings #IoT #EnergyEfficiency #BuildingAutomation #HospitalityTechnology #ESG #DigitalTransformation #FacilityManagement #SmartTechnology  

Technology is helping drive sustainability transformation 🌎 Recent data from a global survey of C-suite executives points to a structural shift in how sustainability is being managed inside organizations. Investment levels continue to rise, but the allocation of that investment is increasingly concentrated around technology and data capabilities. According to the 2025 C-suite Sustainability Report, 83% of executives increased sustainability investment over the last 12 months. This occurred despite ongoing economic and geopolitical uncertainty, suggesting that sustainability spending is being treated as part of core operating expenditure rather than discretionary investment. What is more revealing than the investment trend itself is where priority is being placed. The leading sustainability actions are not communications-led or policy-driven. They are technology-enabled activities, particularly the implementation of digital solutions and the systematic tracking and analysis of environmental metrics. This indicates a shift away from sustainability as a standalone function toward sustainability as a management discipline supported by enterprise systems. Measurement, data quality, and analytical capability are being positioned as prerequisites for execution. Operational efficiency and emissions reduction remain high on the agenda, but they appear increasingly dependent on digital infrastructure. Efficiency gains are being pursued through data-driven optimization rather than incremental process change. The data also shows growing attention to sustainability talent and product innovation, which typically follow once measurement and control systems are in place. This sequencing reflects a maturing approach focused on scalability and integration. AI adoption reinforces this pattern. More than four in five surveyed companies report already using AI to support sustainability objectives, with applications spanning decision support, risk identification, and operational forecasting. In sectors such as energy, AI is already improving system efficiency and reliability, with further potential expected as use cases mature. Taken together, the findings suggest that sustainability is being reframed as an operational and strategic capability, not a reporting exercise. Technology is no longer a support tool. It is becoming the backbone through which sustainability performance, resilience, and business model adaptation are managed. Source: Deloitte Global, 2025 C-suite Sustainability Report (Deloitte Insights, January 2026).