Temperature Control Solutions

Breaking the thermal wall with material innovation Performance is now limited by heat as much as logic. Beating the thermal wall demands a materials‑first approach paired with tight electro‑thermo‑mechanical co‑design. What moves the needle - Next‑gen TIMs: liquid‑metal gallium alloys for ultra‑low interface resistance; sintered silver for near‑bulk conductivity and high‑temp stability; phase‑change and graphene/graphite‑enhanced TIMs for thin, reliable bond lines. - Heat spreading ultrathin vapor chambers, pyrolytic graphite sheets, and composite lids (e.g., Cu‑diamond) to flatten hot spots before the sink. - Microchannel cooling: single‑phase cold plates for hundreds of W/cm² with modest ΔP; two‑phase and jet impingement for the highest flux; additive‑manufactured manifolds and fins to unlock flow and surface area. - Package co‑design: direct‑to‑die cooling, embedded spreaders, and low‑CTE, high‑k substrates to manage both heat and warpage. From concept to production - Engineer the interface: flatness, roughness, bondline control, and clamp load dominate real‑world Rθ. - Prove reliability: resist pump‑out, dry‑out, creep, and galvanic effects; ensure coolant/material compatibility. - Model and measure: disciplined compact models and standardized test methods keep simulations honest. How we can help We combine materials science with system co‑design to turn thermal limits into headroom. We have all the Credence design tools and can help with thermal management using the best TIMs and microchannel solutions for your challenging application. Share your power map, allowable pressure drop, and constraints—we’ll deliver a material stack and cooling architecture with modeled junction temps, flow/pressure requirements, and a clear reliability plan.

Controlling my building energy usage without sacrificing my occupant's comfort!! To conserve energy in Building Automation Systems (BAS) without compromising occupant comfort, implementing the following control sequences can be highly effective: Optimal Start/Stop: Optimal Start: Automatically starts HVAC equipment at the latest possible time to ensure the desired temperature is reached by the start of occupancy. Optimal Stop: Turns off HVAC equipment earlier than normal if the building's thermal inertia can maintain comfort levels until the end of occupancy. Demand-Controlled Ventilation (DCV): Adjusts ventilation rates based on occupancy levels using CO2 sensors, ensuring fresh air supply meets demand without over-ventilating, thus saving energy. Temperature Setback/Setup: Setback: Reduces heating setpoints during unoccupied periods. Setup: Increases cooling setpoints during unoccupied periods. Ensures that HVAC systems are not running at full capacity when the building is unoccupied. Night Purge: Uses outdoor air to cool the building during night-time when outdoor temperatures are lower, reducing the cooling load for the next day. Economizer Control: Uses outside air for cooling when the outdoor conditions are favorable (cooler than the indoor conditions), minimizing the use of mechanical cooling. Chilled Water Reset: Adjusts the temperature of chilled water based on building load and outdoor temperature, improving chiller efficiency. Heating Water Reset: Adjusts the temperature of heating water based on outdoor temperature, optimizing boiler performance. Variable Air Volume (VAV) Systems: Adjusts the airflow rate to match the actual load in each zone, reducing fan energy and reheat requirements. Lighting Control: Integrates lighting with BAS to use occupancy sensors, daylight harvesting, and scheduled control to minimize energy use while maintaining adequate lighting levels. Fan Speed Control: Uses Variable Frequency Drives (VFDs) to adjust fan speeds based on actual demand, reducing energy consumption of HVAC fans. Zone-Level Control: Implements more granular control at the zone level to respond more precisely to local temperature and occupancy variations, improving overall system efficiency. Free Cooling (Water-side Economizer): Uses cooling towers to provide cooling when outdoor conditions are suitable, reducing the need for mechanical cooling. Implementing these control sequences can significantly reduce energy consumption while maintaining occupant comfort by ensuring that HVAC and other building systems operate efficiently and only when necessary.

Solving Low Delta T Syndrome in Chilled Water Systems: A Technical Perspective. Low Delta T Syndrome is a critical issue in HVAC systems, where the chilled water temperature range deviates from design specifications, often leading to inefficiencies, increased energy consumption, and operational challenges.  This problem is particularly pronounced in variable flow systems during part-load conditions.  Key Causes of Low Delta T Syndrome: - Improper Valve Selection: Three-way valves bypass chilled water unnecessarily, increasing flow rates without raising return water temperature.  - Dirty Coils: Reduced coil efficiency forces control valves to open wider, increasing flow and lowering temperature range.  - Mismatched System Components: Components designed for different temperature ranges (e.g., AHUs and fan coils) create system imbalances.  - Airside Economizers: Large outdoor air percentages can lower inlet air temperatures, making it impossible to achieve design return water temperatures.  Technical Solutions: - Variable Primary Flow (VPF): VPF systems eliminate decoupler inefficiencies, allow chillers to be overpumped, and provide flow monitoring for proactive adjustments.  - Tertiary Piping: For systems with diverse temperature requirements (e.g., campuses), tertiary loops can match supply temperature to building-specific needs.  - Chilled Water Reset: Carefully evaluate chilled water reset strategies to balance compressor energy savings with potential flow inefficiencies.  - Flow Control Valves: Installing flow control valves at each coil ensures maximum flow rates are not exceeded, preventing overconsumption of chilled water.  - Oversized Primary Pumps: Oversizing pumps can counteract secondary loop imbalances during light loads, though this increases energy use at all operating points.  Advanced Solutions - VFD or Dual Compressor Chillers: These chillers offer high part-load efficiency, allowing two chillers to operate at reduced capacity while consuming less energy than one fully loaded chiller.  - Check Valve in Decoupler: Adding a check valve can temporarily convert the system to variable primary flow during low delta T intervals, avoiding the need to start additional chillers.  Why It Matters Low Delta T Syndrome not only wastes energy but also compromises system reliability. Addressing this issue through proper design, maintenance, and advanced control strategies can significantly improve system performance, reduce operational costs, and extend equipment life. #HVAC #Chiller #CHW #DeltaT #gulfexperts #Testing #Commissioning #TAB #Maintenance #Chillerplant #Energyefficient

Cooling the “Uncoolable”: 1.45kW Thermal Management for NVIDIA Blackwell (B200 / GB200) The AI industry has officially hit a thermal wall. With NVIDIA’s Blackwell pushing up to 1,450W per chip and local heat fluxes exceeding 300 W/cm², we’re no longer debating efficiency tweaks. We’re confronting physics limits. Traditional cold plates and standard liquid loops? They’re running out of runway. So we asked a different question: 👉 What does a cooling system look like when throttling is simply not allowed? Introducing HBCE-1450 A 2026-ready hybrid thermal platform engineered to keep GPU junction temperatures below 60°C even at extreme compute density. The Technology Stack 🔹 Hybrid Heat Spreader A composite architecture combining CVD Diamond (≈2000 W/mK) with a copper micro-channel insert. CTE mismatch? Solved via Ti-metallization and compliant indium interfaces, ensuring reliability across aggressive thermal cycling. 🔹 Triple-Zone Hydraulics Not all heat is equal. Hotspots are directly attacked using a 144-nozzle jet impingement array, while the surrounding die is managed through high-efficiency micro-channels for balanced pressure and flow. 🔹 Active AI-Driven Thermal Control Real-time adaptation using data-center-qualified thermoelectric (TEC) devices (Phononic Inc), proportional valves, and a custom PID control loop that dynamically tracks GPU workload cooling only where and when it’s needed. Projected Performance • TDP: 1,450 W • Tjunction: 57.6°C (30°C inlet) • Efficiency: ~25% reduction in cooling overhead vs conventional liquid cooling This isn’t just a cold plate. It’s infrastructure the thermal backbone required to extract every last MHz from Blackwell without throttling, instability, or compromise. Engineering isn’t about accepting limits. It’s about redesigning the problem. And this is just the beginning. 💬 Curious to hear from data center, HPC, and AI infra leaders: Where do you think thermal management breaks next materials, controls, or system architecture? #AI #HardwareEngineering #NVIDIA #Blackwell #HPC #LiquidCooling #ThermalManagement #DeepTech #Innovation

🔹 Thermal Management for 1–2MW Liquid-Cooled Data Centers — System Architecture, Value & Deployment Guidance 🔹 To meet the demands of 1–2MW+ power densities, a structured thermal management ecosystem becomes critical — one that optimizes heat removal, minimizes energy consumption, and scales without excessive footprint or operating cost. Our professional system architecture divides this solution into four engineered components: 📌 1. CDU (Cooling Distribution Unit) Industrial-grade skidded CDU with precision flow control, redundant pumps, and high-efficiency brazed plate heat exchangers. Designed for continuous operation in high-load environments. 📌 2. Dry Cooler Module Large V-coil dry cooling banks paired with EC fans enable low-water or waterless heat rejection when ambient conditions permit. This dramatically reduces water usage and lowers operating cost while maintaining design ΔT. 📌 3. Modular Containerized 1–2MW Deployments Factory-assembled, pre-tested thermal modules integrate CDU, dry coolers, and piping into service-ready enclosures. Ideal for rapid deployment and edge facility expansion. 📌 4. High-Density Liquid Cooled Rack Aisles Configured with robust manifold piping, quick-connect rack headers, and service access aisles — delivering uniform coolant distribution at high flow rates while preserving hot-aisle/cold-aisle containment. 🧠 Why This Matters Now ➡ AI and GPU clusters often exceed 40–80 kW per rack — densities air systems cannot support efficiently. ➡ Liquid cooling reduces fan energy by 40–60% and lowers total facility PUE when paired with intelligent CDU controls. ➡ Hybrid solutions (air + liquid) provide a pragmatic migration path for facilities transitioning from legacy infrastructure. 📊 What We’re Seeing in the Market ✔ Hyperscale and AI operators are rapidly adopting liquid cooling for primary compute zones. ✔ Colocation and enterprise facilities are planning liquid cooling zones within mixed-cooling halls. ✔ 1–2MW thermal modules are becoming the standard design unit for new builds and expansions in APAC, EMEA, and North America. 🛠 Deployment Guidance for Technical Teams 🔹 Start with power density targets, not cooling technology. Determine expected peak rack densities and thermal loads over a 5–10 year growth curve. 🔹 Design for redundancy and modularity. CDU N+1, dual pump trains, and scalable dry cooler banks provide operational resilience. 🔹 Optimize for water usage and energy cost. Dry cooling solutions paired with liquid systems reduce water footprint — critical in regions with water restrictions or high costs. 🔹 Plan for phased migration. Hybrid cooling eases transition from air-dominant halls into fully liquid-integrated facilities while protecting previous CapEx. Or get more details at: info@jusdon.com.cn, #LiquidCooling #DataCenter #AIInfrastructure #GreenComputing #ThermalManagement #EdgeComputing #AI #Hybridcooling #Cooler #Chiller #CDUs #AIContainer #AIFactory #HPC 

⭐ 𝑹𝒆𝒂𝒄𝒕𝒐𝒓 𝑻𝒆𝒎𝒑𝒆𝒓𝒂𝒕𝒖𝒓𝒆 𝑪𝒐𝒏𝒕𝒓𝒐𝒍 - 𝑪𝒂𝒔𝒄𝒂𝒅𝒆 𝑪𝒐𝒏𝒕𝒓𝒐𝒍 Reactor Temperature Control – From Simple Feedback to Cascade with External Reset Controlling reactor temperature is never as simple as it looks. Due to thermal mass, heat transfer lag, and reaction dynamics, a simple feedback controller often leads to overshoot and oscillations. The reactor responds slowly, while the jacket (HTF) responds quickly — creating a mismatch in dynamics. To solve this, we implemented: ✅ Cascade Control Master (Reactor TIC) → Slave (TIC) ✅ Split Range Control Single controller operating both steam (heating) and cooling water (cooling) valves. ✅ Limit Block with HIC To ensure safe operating boundaries for jacket temperature. ✅ External Reset Feedback The master controller’s integral action is adjusted based on actual slave response — reducing overshoot and preventing integral windup. This approach significantly improves stability, safety, and temperature control accuracy in reactor systems.

🌡️ Addressing High-Temperature Hazards in Industrial Environments 🌡️ Industrial workplaces with extreme temperatures present significant risks to workers, from heat stress to long-term health issues. While PPE is vital, relying on it alone is insufficient to safeguard worker health. --- 🔑 Mitigating High-Temperature Hazards: 💡 1. Engineering Controls: Insulation: Reduces exposure to radiant heat from hot surfaces. Ventilation Systems: Improve airflow and help dissipate heat. Temperature Control Systems: Maintain safe operating conditions and minimize environmental heat. 💡 2. Effective Safety Protocols: Regular risk assessments to identify high-temperature zones. Implementing rest breaks, hydration policies, and training workers to recognize heat-related illnesses. Emergency response plans for heat-related incidents. 💡 3. Process Safety Standards Compliance: Adhering to established safety standards ensures both worker protection and operational efficiency. It’s about creating a culture of safety that prioritizes prevention over reaction. --- Remember: Protecting people means prioritizing safety. By combining robust engineering solutions with proactive safety protocols, we can minimize risks and ensure every worker returns home safely. --- What measures has your workplace adopted to address high-temperature risks? Let’s discuss how we can improve safety in extreme environments! #IndustrialSafety #ProcessSafety #HeatHazards #WorkplaceSafety #EngineeringControls #SafetyCulture #WorkerProtection #PPE #SafetyStandards #RiskMitigation #OccupationalHealth #EmergencyPreparedness

Smart home meets control theory. Energy savings without compromising comfort. In a previous post, I have shown a method for manipulating a controller by superimposing a simple control loop based on a dynamic setpoint. (https://lnkd.in/e4A8HZ4y) On the following slides I will show you how to bring the control theory into practice. Slide 1: Control theory can make smart home devices even smarter. In my private office room I have a smart heating system as a part of my home energy management system (#hems). The radiator thermostat from tado° has only an input value for the setpoint temperature and an output value for the current temperature. You can also set schedules and recognise whether you are at home or on the move. To extend the functionality with an external temperature sensor and another sensor for room occupancy, you need a management system such as Home Assistant. As the internal temperature sensor is located close to the heating source, it is better to use an external sensor placed in the centre of the room. To detect whether a person is present, a mmWave radar sensor recognises micro-movements much better than passive infrared (PIR) sensors. Both sensors are coupled with #zigbee and can be purchased inexpensively from SONOFF. To indirectly influence the valve position of the thermostat, it makes sense to increase the setpoint temperature depending on the actual value in order to improve the dynamics due to a proportional factor K. If a person leaves the room for longer than a certain time, the setpoint temperature is lowered to save energy. Slide 2: Include other influencing variables in order to set the correct setpoint temperature. I also added an IKEA door and window reed contact over zigbee to pause heating mode. To extend the logic of chosing the right setpoint temperature, the time can also take into account. W1 is the setpoint when a person is present, W2-W4 are different setpoints for short absences, longer breaks or night mode. The greater the difference between the setpoint temperature W and the current temperature Y, the greater the amplified setpoint W*. Heating radiators have a thermal mass, which leads to a heat capacity. It therefore takes a certain amount of time for the temperature to be reached. In addition, the stored energy heats the room further afterwards. You can learn more about this in a previous article on heat transfer system characteristics. (https://lnkd.in/e-ZJeNJk) Conclusion: Smart home devices such as radiator thermostats have their own control strategy. For reasons of cost efficiency, they use integrated temperature sensors to regulate the estimated room temperature to a fixed setpoint. The use of external sensors may increase comfort. Presence sensors can be included to reliably detect the actual occupancy of the room and not the surroundings of the building. They can also be used to automate the room light. But that might be another story. #engineering #controlsystems #controltheory #smarthome

🌡️ Maintaining Ideal Temperatures in GMP Warehouses in 3 simple steps. In many industries, keeping the right temperature is crucial, especially in warehouses where product quality and safety are at stake. Maintaining consistent temperatures can be a challenge, but it's essential for meeting global standards. 𝐇𝐞𝐫𝐞'𝐬 𝐚 𝐭𝐡𝐫𝐞𝐞-𝐬𝐭𝐞𝐩 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐭𝐞𝐦𝐩𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐦𝐚𝐩𝐩𝐢𝐧𝐠: 1. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐂𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐀𝐫𝐞𝐚𝐬: Assess the risk of temperature deviations in different warehouse zones. This involves considering factors like external weather conditions, the proximity of areas to heat sources or entry points, and historical data on temperature excursions. By identifying high-risk areas, you can prioritize where to focus your temperature control efforts effectively. 2. 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐒𝐞𝐧𝐬𝐨𝐫𝐬: Determine the optimal number and placement of sensors based on the risk levels of different areas. This might include using more sensors in high-risk zones and fewer in lower-risk areas. The assessment should consider the potential consequences of data gaps, such as loss of product integrity or regulatory non-compliance. Place sensors strategically in these areas to monitor temperatures continuously. 3. 𝐀𝐧𝐚𝐥𝐲𝐳𝐞 𝐃𝐚𝐭𝐚: Regularly evaluate the risk implications of the temperature data collected. If certain thresholds are approached or breached, assess the risk to product quality and safety, and adjust your temperature control strategies accordingly. This might involve increasing monitoring frequency, recalibrating sensors, or implementing corrective actions to mitigate identified risks. Incorporating risk assessment helps ensure that your temperature control strategies are not only effective but also aligned with regulatory requirements and best practices. It allows for proactive management of potential temperature excursions, reducing waste, preventing product loss, and ensuring compliance with global standards. Implement these steps in your warehouse today to see the difference! 1. 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐂𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐀𝐫𝐞𝐚𝐬 2. 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐒𝐞𝐧𝐬𝐨𝐫𝐬 3. 𝐀𝐧𝐚𝐥𝐲𝐳𝐞 𝐃𝐚𝐭𝐚 Have you faced temperature control challenges? How have you managed them? Share your experiences below! 📊 Let's continue enhancing our approaches together!

Texas doesn’t forgive poor control strategies. Chiller load stabilization becomes critical — especially under peak conditions. Ambient temperatures up to 125°F / 52°C (including hot air recirculation zones). ⸻ Spent last week on-site in Texas, working with our US team in fully operational data center conditions. Precision is critical in every aspect of mission-critical environments. Any intervention in a live facility must be controlled. Safety, stability, and precise execution come first. ⸻ This is where the real difference becomes visible: designed chiller performance vs actual chiller performance ⸻ At high ambient conditions, control becomes everything: • condenser inlet air temperature control • precise, event-based water consumption (used only when it delivers efficiency gain) • chiller COP stabilization under peak load ⸻ Field observation: At ambient temperatures up to ~125°F (≈52°C) we are achieving: • ~14°C reduction at condenser inlet (ΔT) • COP increase up to +1.5 (~27%) ⸻ From a data center perspective, this directly impacts: • PUE — through reduced compressor power demand • PUW — through controlled, minimal, event-based water use Result: lower condensing pressure more stable compressor operation improved cooling efficiency without continuous water used No continuous operation. No unnecessary water use. No impact on system integrity. Only precise control — when it matters. In environments like Texas, this is not optimization. It is necessity. #DataCenters #CoolingEngineering #HVAC #Texas #USA #MissionCritical