Short answer

Incorporate dynamic simulation and modelling early in the design process for complex systems to rapidly evaluate feasibility, understand scale-up challenges, and optimize performance before committing to physical prototypes.

Field
Modelling
Source
LUTPub (LUT University) (2013)
Method
Model-based simulation and analysis
Evidence
Strong effect

Utilizing dynamic computational models for calcium looping processes significantly expedites the techno-economic evaluation and technological feasibility analysis of carbon capture systems. This modelling research insight is drawn from a 2013 study published in LUTPub (LUT University). Using Model-based simulation and analysis, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate dynamic simulation and modelling early in the design process for complex systems to rapidly evaluate feasibility, understand scale-up challenges, and optimize performance before committing to physical prototypes.

Study
ModellingHigh ImpactStrong effect

Dynamic Simulation of Calcium Looping Accelerates CO2 Capture Technology Development

Utilizing dynamic computational models for calcium looping processes significantly expedites the techno-economic evaluation and technological feasibility analysis of carbon capture systems.

LUTPub (LUT University) · 2013

01

Key Findings

  • 01The developed model framework was successfully applied to laboratory (30 kWth) and pilot scale (1.7 MWth) units.
  • 02The model was used to design a conceptual industrial scale unit (250 MWth).
  • 03Valuable insights were gained regarding the behavior of small-scale devices and the interconnected behavior of pilot plant reactors.
  • 04The effect of solid fluidization on thermal and CO2 balances was analyzed.
02

Application

Design takeaway

Incorporate dynamic simulation and modelling early in the design process for complex systems to rapidly evaluate feasibility, understand scale-up challenges, and optimize performance before committing to physical prototypes.

How to apply

Use dynamic simulation software to model and analyze the performance of a proposed system under various operating conditions and scales, identifying potential bottlenecks or areas for optimization.

Project actions

  • 01When developing a new product or system, consider using simulation software to test different design variations and predict performance.
  • 02Ensure that the models used are validated against experimental data where possible to increase confidence in the results.
03

Method & Evidence

AimTo analyze the technological feasibility of the calcium looping process for CO2 capture at different scales using a computational model.
MethodModel-based simulation and analysis
ProcedureA one-dimensional, semi-empirical dynamic model was developed and applied to simulate the behavior of interconnected circulating fluidized bed reactors in a calcium looping system. The model incorporated mass and energy balance solvers, semi-empirical models for solid behavior and chemical reactions, and accounted for fluidized bed combustion, heat transfer, and core-wall layer effects.
ContextCarbon capture technology development, specifically post-combustion CO2 capture using calcium looping.

Variables

IVModel parameters (e.g., reactor size, sorbent properties, operating temperature).
DVSystem performance metrics (e.g., CO2 capture efficiency, energy consumption, process stability).
CVFundamental physical and chemical laws governing the process (e.g., conservation of mass and energy).
04

Strengths & Limitations

Strengths

  • +Allows for rapid exploration of design space.
  • +Enables analysis of complex dynamic behaviors.
  • +Cost-effective compared to physical prototyping for initial studies.

Limitations

The complexity of real-world systems can be difficult to fully capture in a model. The availability and quality of data for model calibration can be a challenge.

Reliability & validity

Reliability can be assessed by running the simulation multiple times with the same inputs to ensure consistent outputs. Validity is typically established by comparing simulation results to experimental data or established theoretical benchmarks.

Think critically

How might the assumptions made in a simplified model lead to inaccurate predictions about the performance of a real-world system, and what steps can be taken to mitigate these risks?

05

Design Principles

"Leverage computational modelling for rapid techno-economic assessment and feasibility studies of novel processes."

This approach allows designers and engineers to rapidly assess new carbon capture technologies at various scales without the immediate need for expensive physical prototypes. It enables informed decision-making early in the design process, reducing development time and costs.

06

What This Means for Your Design

Using computer simulations (models) of a carbon capture system can help designers figure out if it will work and how well it will work at different sizes, saving time and money compared to building real machines right away.

How to use in your project

  • 1.Reference the use of simulation software to test design concepts and predict outcomes, demonstrating a rigorous approach to design investigation.
07

Add to My Project

08

Quick Cite

Paragraph starter

Computational modelling was employed to simulate and analyze the proposed design, enabling a thorough techno-economic evaluation and assessment of technological feasibility across various scales. This approach facilitated rapid iteration and optimization of design parameters, significantly reducing the need for costly physical prototypes during the early stages of development.

09

Source

LUTPub (LUT University)

Model based analysis of the post-combustion calcium looping process for carbon dioxide capture

journal · 2013

View source

Questions About This Research

What does the research say about dynamic simulation of calcium looping accelerates co2 capture technology development?
Incorporate dynamic simulation and modelling early in the design process for complex systems to rapidly evaluate feasibility, understand scale-up challenges, and optimize performance before committing to physical prototypes. Evidence: LUTPub (LUT University) (2013).
Why does "Dynamic Simulation of Calcium Looping Accelerates CO2 Capture Technology Development" matter for design?
This approach allows designers and engineers to rapidly assess new carbon capture technologies at various scales without the immediate need for expensive physical prototypes. It enables informed decision-making early in the design process, reducing development time and costs.
How can designers apply this research?
Incorporate dynamic simulation and modelling early in the design process for complex systems to rapidly evaluate feasibility, understand scale-up challenges, and optimize performance before committing to physical prototypes.
What were the main findings?
The developed model framework was successfully applied to laboratory (30 kWth) and pilot scale (1.7 MWth) units.. The model was used to design a conceptual industrial scale unit (250 MWth).. Valuable insights were gained regarding the behavior of small-scale devices and the interconnected behavior of pilot plant reactors.. The effect of solid fluidization on thermal and CO2 balances was analyzed.
What research method was used?
Model-based simulation and analysis.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2013 journal from LUTPub (LUT University).
What should I do differently in my next project?
Use dynamic simulation software to model and analyze the performance of a proposed system under various operating conditions and scales, identifying potential bottlenecks or areas for optimization.
What are the limitations?
The model is semi-empirical and one-dimensional, which may simplify certain complex phenomena. The accuracy of the model is dependent on the quality of the underlying empirical data and assumptions.