Short answer

When evaluating CCU technologies, employ a combined LCA and TEA framework, utilizing MCDA to systematically weigh environmental and economic criteria for a more informed decision.

Field
Modelling
Source
Deep Blue (University of Michigan) (2021)
Method
Worked Example / Case Study
Evidence
Moderate effect

Combining Life Cycle Assessment (LCA) and Techno-Economic Assessment (TEA) with multi-criteria decision analysis (MCDA) provides a more comprehensive framework for evaluating and selecting Carbon Capture Utilization (CCU) technologies. This modelling research insight is drawn from a 2021 study published in Deep Blue (University of Michigan). Using Worked example / case study, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When evaluating CCU technologies, employ a combined LCA and TEA framework, utilizing MCDA to systematically weigh environmental and economic criteria for a more informed decision.

Study
ModellingHigh ImpactModerate effect

Integrating LCA and TEA for Carbon Capture Utilization (CCU) Decisions

Combining Life Cycle Assessment (LCA) and Techno-Economic Assessment (TEA) with multi-criteria decision analysis (MCDA) provides a more comprehensive framework for evaluating and selecting Carbon Capture Utilization (CCU) technologies.

Deep Blue (University of Michigan) · 2021

01

Key Findings

  • 01A combined LCA and TEA approach is necessary for a holistic evaluation of CCU technologies.
  • 02Multi-criteria decision analysis (MCDA) is a valuable tool for navigating trade-offs between environmental and economic factors in CCU technology selection.
  • 03Alignment and precision between LCA and TEA studies are crucial for the validity of combined assessments.
02

Application

Design takeaway

When evaluating CCU technologies, employ a combined LCA and TEA framework, utilizing MCDA to systematically weigh environmental and economic criteria for a more informed decision.

How to apply

When faced with multiple CCU technology options, conduct both LCA and TEA, then use an MCDA method (e.g., AHP, TOPSIS) to rank options based on defined environmental, economic, and social criteria.

Project actions

  • 01When defining your project scope, clearly state if you will be integrating LCA and TEA.
  • 02Research different MCDA techniques and select one that best fits your project's decision-making needs.
  • 03Ensure your LCA and TEA data are compatible and clearly documented.
03

Method & Evidence

AimHow can multi-criteria decision analysis be effectively integrated with Life Cycle Assessment (LCA) and Techno-Economic Assessment (TEA) to support decision-making for Carbon Capture Utilization (CCU) technologies?
MethodWorked Example / Case Study
ProcedureThe study introduces and demonstrates an approach for combining LCA and TEA for CCU technologies, specifically focusing on multi-criteria decision analysis (MCDA) to handle multiple, often conflicting, assessment criteria. It provides contextual guidance and a worked example to bridge gaps in existing project guidelines.
ContextCarbon Capture Utilization (CCU) technology assessment

Variables

IV["Methodology for combined LCA and TEA (e.g., integration approach, MCDA technique used)"]
DV["Rank or selection of CCU technologies","Overall score or decision outcome"]
CV["Scope of LCA and TEA studies","Specific CCU technologies being evaluated","Criteria used in MCDA"]
04

Strengths & Limitations

Strengths

  • +Provides a practical framework for complex decision-making in CCU.
  • +Highlights the importance of integrating environmental and economic assessments.

Limitations

Performing a full LCA and TEA can be time-consuming and data-intensive. Simplified versions may not capture all nuances. The choice of MCDA method can influence the outcome.

Reliability & validity

The reliability and validity of the combined assessment depend heavily on the quality and consistency of the LCA and TEA data, as well as the appropriateness and application of the chosen MCDA method. Sensitivity analysis on criteria weights can improve validity.

Think critically

To what extent does the chosen MCDA method influence the final technology selection, and how can potential biases in subjective weighting be mitigated?

05

Design Principles

"Holistic technology evaluation requires the integration of diverse assessment methodologies to account for complex trade-offs."

In design practice, selecting the most viable technology for CCU involves balancing environmental impacts with economic feasibility. This integrated approach allows designers and engineers to move beyond single-metric evaluations and make more informed, holistic decisions that align with sustainability goals and market realities.

06

What This Means for Your Design

When you need to choose between different ways to capture and use carbon, it's not enough to just look at how much it costs or how good it is for the environment. This study shows how to use tools that consider both, plus other important factors, to make the best choice.

How to use in your project

  • 1.Reference this study when discussing the methodology for evaluating and selecting design solutions, particularly when multiple criteria (e.g., environmental impact, cost, performance) need to be considered.
07

Add to My Project

08

Quick Cite

Paragraph starter

The evaluation and selection of design solutions for Carbon Capture Utilization (CCU) technologies necessitate a holistic approach that integrates Life Cycle Assessment (LCA) and Techno-Economic Assessment (TEA). As demonstrated by McCord et al. (2021), the application of multi-criteria decision analysis (MCDA) within a combined LCA-TEA framework allows for a systematic consideration of trade-offs between environmental performance and economic viability, leading to more robust and informed design choices.

09

Source

Deep Blue (University of Michigan)

Multi-Attributional Decision Making in LCA & TEA for CCU: An Introduction to Approaches and a Worked Example

journal · 2021

View source

Questions About This Research

What does the research say about integrating lca and tea for carbon capture utilization (ccu) decisions?
When evaluating CCU technologies, employ a combined LCA and TEA framework, utilizing MCDA to systematically weigh environmental and economic criteria for a more informed decision. Evidence: Deep Blue (University of Michigan) (2021).
Why does "Integrating LCA and TEA for Carbon Capture Utilization (CCU) Decisions" matter for design?
In design practice, selecting the most viable technology for CCU involves balancing environmental impacts with economic feasibility. This integrated approach allows designers and engineers to move beyond single-metric evaluations and make more informed, holistic decisions that align with sustainability goals and market realities.
How can designers apply this research?
When evaluating CCU technologies, employ a combined LCA and TEA framework, utilizing MCDA to systematically weigh environmental and economic criteria for a more informed decision.
What were the main findings?
A combined LCA and TEA approach is necessary for a holistic evaluation of CCU technologies.. Multi-criteria decision analysis (MCDA) is a valuable tool for navigating trade-offs between environmental and economic factors in CCU technology selection.. Alignment and precision between LCA and TEA studies are crucial for the validity of combined assessments.
What research method was used?
Worked Example / Case Study.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2021 journal from Deep Blue (University of Michigan).
What should I do differently in my next project?
When faced with multiple CCU technology options, conduct both LCA and TEA, then use an MCDA method (e.g., AHP, TOPSIS) to rank options based on defined environmental, economic, and social criteria.
What are the limitations?
The guidance provided is at an intermediate stage of development, with more detailed instructions anticipated in future project releases. The specific MCDA methods used may require adaptation based on the complexity of the CCU technology and decision context.