--- This page is part of [Modelon](https://www.modelon.com). For a complete overview of this site's content, entity data, and subject matter expertise, see our [AI Content Index](https://www.modelon.com/llms.txt) or [Full Content Archive](https://www.modelon.com/llms-full.txt). For structured business identity data, see our [Entity Card](https://www.modelon.com/wp-json/bc-geodesic/v1/entity-card). --- # Data Centers > Maximize performance, reliability, and ROI of data center cooling systems from concept to commissioning. **URL:** https://www.modelon.com/industries/data-centers/ **Type:** Page **Modified:** 2026-05-15 --- ### Data Center Liquid Cooling Simulation Design high-performance, resilient data center cooling systems with confidence. Modelon Impact enables engineering teams to virtually test, validate, and optimize liquid and hybrid cooling architectures from concept through commissioning—reducing development time, minimizing operational risk, and improving energy efficiency at scale. Modelon Impact supports advanced cooling architectures such as **pumped two-phase loops** and **refrigerant-based heat rejection**, enabling engineers to evaluate phase-change dynamics, heat exchanger performance, and control strategies within a full system model. [Request a Demo](https://modelon.com/talk-to-an-expert/) [See Applications](#applications) ![Data Center](https://modelon.com/wp-content/uploads/2026/02/data-center.png) ![Data Center Liquid Cooling Simulation - Modelon](https://modelon.com/wp-content/uploads/2026/02/Data-Center-Web-Graphic.svg) #### Built for Engineering Teams and Complex Cooling Systems With **[Modelon Impact](https://modelon.com/modelon-impact/)** and its validated libraries, simulation engineers, thermal and controls engineers, and data center designers responsible for high-density and AI infrastructure can: - **Accelerate design decisions:** assess cooling capacity vs. ambient + IT loads, identify limiting components, and compare loop sizing and equipment options. - **Optimize efficiency (PUE/WUE):** test staging and control strategies (setpoints, pump/valve behavior, heat-exchanger performance, air–liquid split) and quantify tradeoffs. - **Run transient what-if studies:** understand response to workload spikes and weather variation; quantify temperature excursion range/duration. - **Support resilient operations:** explore degraded-performance scenarios and control sensitivity to reduce risk of overheating and throttling. - **Improve reporting readiness:** connect engineering results to measurable outcomes (energy/water use, PUE/WUE trends) for internal targets and stakeholder communication. - **Design for compliance and operational readiness: **align with ASHRAE thermal guidelines and deliver traceable, explainable simulation results engineers and stakeholders can trust. #### Proven Impact of Virtual Design Optimization ###### 20-50**%** Reduction in Development Time ###### 25**%** Reduction in Energy Use ###### **$**1M **in Risk Avoidance** ###### 300**x** **More Water Efficiency** #### Shorten development cycles, reduce risk, and improve energy efficiency across the entire cooling ecosystem. As data centers scale in power density and complexity, liquid cooling becomes a necessity. But managing it efficiently poses new operational risks.** Modelon Impact** delivers a physics-based system simulation platform purpose-built to optimize liquid cooled infrastructures. A unified, cloud-based multi-physics software platform for 1D system simulation, optimization, and control, **[Modelon Impact](https://modelon.com/modelon-impact/)** provides: - Multi-case studies and design-of-experiments via **Experiment View** - **Live plotting** for real-time monitoring of simulation outputs - Intuitive **drag-and-drop modeling** canvas that help visualize system layout - Access to model source code with a modern, **AI-enabled** text editor for maximum customization flexibility - Integrations for customized, automated workflows  - **Link sharing **for quick and easy model deployment  - Model export compliant with the **FMI (Functional Mock-up Interface) **standard for integration with control design and digital twin platforms [**Request a Quick Tour of Modelon Impact**](/book-a-demo/) #### Why Engineering Teams Choose Modelon for Liquid Cooling **Validated libraries. Open standards. Rapid modeling. System-level insight.** ##### Open-Standard Simulation Framework Use clear, physics-based models that grow with your engineering needs. Collaborate with data center owners, cooling solution providers, and equipment vendors while keeping your critical IP protected. ##### Cloud-Native Simulation Platform Run large design studies, multi-case simulations, and optimization workflows directly in the browser. Collaborate across teams and easily scale computing resources. ##### Industry-Proven Component Libraries Use Modelon’s [Liquid Cooling Library](https://modelon.com/library/liquid-cooling-library/), [Energy System Library](https://modelon.com/library/energy-systems-library/), [Vapor Cycle Library](https://modelon.com/library/energy-systems-library/), [Heat Exchanger Library](https://modelon.com/library/heat-exchanger-library/), and the [Modelica Buildings Library](https://simulationresearch.lbl.gov/modelica/index.html) to model pumps, valves, heat exchangers, coils, piping networks, controls, and HVAC systems. ##### Comprehensive Multi-Physics Modeling Seamlessly simulate electrical systems, thermal networks, hydraulic loops, and control strategies together for accurate system-level insight. #### From Chip to Facility: What Engineers Can Solve with Modelon Impact **End-to-end liquid cooling systems in a single, open-standard environment.** Modelon provides validated, physics-based component models and complete system templates for designing, testing, and optimizing liquid cooling architectures. - Model with Accuracy and Speed - Commission with Confidence - Operate with Insight - Reduce Energy and Water Use - R&D: Plan for Growth and Change - Accelerate model development with AI-assisted tools - Leverage high-accuracy, calibrated physics-based models - Use supplier-certified components from a reusable model library cooling capacity scales with compute load, even as densities rise and cooling - Simulate and validate cooling system behavior before go-live (flow balance, thermal margins, control stability) - Identify design flaws, mismatches, or hidden risks during commissioning – not after deployment - Accelerate time to readiness by enabling faster tuning of control - Monitor, predict, and optimize cooling performance in real time using a high-fidelity, site-specific digital twin - Run “what-if” simulations to evaluate the impact of workload changes, component faults, or retrofits without disrupting live systems - Extend equipment life and reduce unplanned downtime through predictive diagnostics and scenario planning - Optimize system-wide cooling setpoints, pump/fan speeds, and component utilization to minimize PUE - Quantify efficiency gains from liquid cooling investments – and continuously improve them - Lower operating costs while meeting sustainability goals - Use real operational data to guide future expansion, retrofits, or vendor selection - Ensure cooling capacity scales with compute load, even as densities rise and cooling technologies evolve (e.g., two-phase) #### What customers are saying about Modelon ###### Modelon’s system‑level capabilities allowed us to understand two‑phase direct‑to‑chip cooling in data centers as an integrated system and explore realistic operating conditions with more confidence. Lingnan Lin, Ph.D. Department of Mechanical Engineering, University of Maryland ![](https://modelon.com/wp-content/uploads/2026/05/UMD-Logo.avif) ###### If we get stuck, it’s refreshing to be able to directly reach out to the developers of the technology to get the support and direction that we can trust. This level of support helps us make quicker decisions in our product development cycle. Arne Knoblauch Chief Technology Officer, 1W1 GmbH ![](https://modelon.com/wp-content/uploads/2025/02/1w1_gmbh-logo.png) ###### Working with Modelon not only enhances our confidence in the design’s overall performance, but also enables us to identify and address potential issues related to startup, stop, and trip events. David Danesi Project Manager & Technical Proposal Leader, Turboden ![](https://modelon.com/wp-content/uploads/2025/02/turboden-logo.png) ###### Modelon reviewed our requirement and developed a model with uninterrupted communications through bi-weekly online meetings with project updates. Modelon Impact was the right choice. Dr. Koji Moriyama Principal Engineer, American Honda Motor Company, Inc. ![](https://modelon.com/wp-content/uploads/2025/02/honda-logo.png) ###### We selected Modelon Impact because the platform has many aspects that set it apart from other tools in the market including its Modelica-based language, physics-based modeling capabilities, and quick support team. Koji Matsushita Kyocera Corporation ![](https://modelon.com/wp-content/uploads/2022/07/Kyocera_logo-trans.png) ###### Using a system modeling tool like Modelon offers a means to generate the results we want and provide them to our members in a quick and accurate way. Jim Harper Principal Technical Lead, EPRI ![](https://modelon.com/wp-content/uploads/2022/07/EPRI.png) ###### Modelon’s libraries are giving us more confidence in our early system designs and enable us to build and run simulations more quickly than ever before. Kruno Hrvatinić Head of Control and Simulation, Rimac ![](https://modelon.com/wp-content/uploads/2022/10/Rimac_logo_vertical-page-001-scaled-e1665523224869.jpeg) ###### Modelon stood out with its reliable simulation capabilities, offering comprehensive component libraries that helped us analyze the behavior of air conditioning systems before prototyping. Jun Young Choi CAE Engineer, Hanon Systems ![](https://modelon.com/wp-content/uploads/2024/09/Hanon-Systems-Logo.png) ###### Working with Modelon Impact has been a seamless process. I easily followed the instructions, logged in, and simulated the heat pump model without any problems. Anna Sjunesson Dynamic Simulation Expert, Siements Energy ![](https://modelon.com/wp-content/uploads/2025/02/siemens-energy-logo.png) Previous Next #### Related Blogs and Resources ![](https://www.modelon.com/wp-content/uploads/2024/08/iStock-491444142-scaled.jpg) ##### How thermal simulation helps optimize a hyperscaler’s data centers [Read More](https://engineering.fb.com/2022/09/14/data-center-engineering/data-centers-meta-thermal-simulation-optimization/) ##### New eBook! From Equipment to Ecosystem: Embracing System-Level Simulation for Data Center Projects [Read More](https://modelon.com/support/from-components-to-competitive-advantage-in-the-data-center-ecosystem/) - ![Why Two‑Phase Direct‑to‑Chip Cooling is Reaching a Tipping Point](https://www.modelon.com/wp-content/uploads/2026/05/Data-Center-1200x625-2.avif) ### [Why Two‑Phase Direct‑to‑Chip Cooling is Reaching a Tipping Point](https://www.modelon.com/blog/why-two-phase-direct-to-chip-cooling-is-reaching-a-tipping-point/) [Read more: Why Two‑Phase Direct‑to‑Chip Cooling is Reaching a Tipping Point](https://www.modelon.com/blog/why-two-phase-direct-to-chip-cooling-is-reaching-a-tipping-point/) - ![How to Do Weather File Sweeps in Modelon Impact](https://www.modelon.com/wp-content/uploads/2026/05/Weather-Sweep-Social-1200x625-1.avif) ### [How to Do Weather File Sweeps in Modelon Impact](https://www.modelon.com/blog/how-to-do-weather-file-sweeps-in-modelon-impact/) [Read more: How to Do Weather File Sweeps in Modelon Impact](https://www.modelon.com/blog/how-to-do-weather-file-sweeps-in-modelon-impact/) - ![AI Liquid Cooling at System Scale](https://www.modelon.com/wp-content/uploads/2026/04/Blog-Featured-Image-DCW_04_26.avif) ### [AI Liquid Cooling at System Scale](https://www.modelon.com/blog/ai-liquid-cooling-at-system-scale/) [Read more: AI Liquid Cooling at System Scale](https://www.modelon.com/blog/ai-liquid-cooling-at-system-scale/) #### System Simulation Applications for Data Center Liquid Cooling Liquid cooling systems are complex, interconnected ecosystems where thermal, hydraulic, and control decisions directly impact performance and uptime. System simulation enables engineers to evaluate these interactions holistically reducing risk and accelerating confident design decisions. ##### Coolant Distribution Units (CDUs) - Primary/secondary cooling loops - Plate heat exchangers for single phase and two-phase cooling - Pump staging and variable-speed control - Valve actuation and bypass configurations ##### Rack & Server Cooling Loops - Flow balancing and flow network behavior - Temperature and pressure gradients across racks - User-defined transient thermal load Microchannel cold plates - Condenser, receiver, flow restrictions for pumped two-phase cooling ##### Control Systems - Supervisory control strategies for chiller and free-cooling economizer - Pump speed and sequencing control - Valve position optimization - Temperature and pressure regulationSensor noise ##### Facility-Level Cooling Systems - Chilled-water loops - Heat exchangers, dry coolers, cooling towers - Free cooling and hybrid cooling integration - Heat recovery / district heating - Failure simulations #### Modeling Resources for Data Center Cooling ##### Modelon Libraries [**Liquid Cooling Library** – Electronics and data center cooling circuits](https://modelon.com/support-learning/resources/?_resource_product=liquid-cooling-library) [**Modelica Buildings Library** – HVAC coils, chilled-water loops, mixing boxes, air handlers ](https://simulationresearch.lbl.gov/modelica/index.html) [**Vapor Cycle Library **– Vapor compression cycles with fast refrigerant property calculations](https://modelon.com/support-learning/resources/?_resource_product=vapor-cycle-library) [**Heat Exchanger Library **– 2D/Semi-3D, geometry-based heat exchanger models for plate heat exchangers, fin-on-tube heat exchangers (coils), and microchannel heat exchangers](https://modelon.com/support-learning/resources/?_resource_product=heat-exchanger-library) [**Energy System Library **– Designed to plan and optimize industrial to utility-scale energy systems](https://modelon.com/support-learning/resources/?_resource_product=energy-systems-library) #### Start Building Better Cooling Systems Today Whether you’re scaling AI compute infrastructure, transitioning from air to liquid cooling, or designing and selling innovative liquid cooling technologies, Modelon accelerates your design process and strengthens engineering confidence. 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