Integrated Systems Modelling for Resource Forecasting
Category: Resource Management · Effect: Strong effect · Year: 2019
Complex global resource systems (energy, water, land, climate, economy) can be effectively modelled using integrated market equilibrium frameworks to understand interdependencies and forecast future demands.
Design Takeaway
When designing products or systems, consider their impact not just in isolation, but also on interconnected global resource systems like energy, water, and land.
Why It Matters
Understanding the intricate connections between various resource systems is crucial for strategic planning and sustainable development. This approach allows designers and researchers to anticipate the cascading effects of decisions in one sector on others, leading to more robust and resilient designs.
Key Finding
An integrated model called GCAM v5.1 can simulate how changes in factors like population or technology affect global resource use (energy, water, land) and climate, showing diverse future possibilities.
Key Findings
- GCAM v5.1 successfully integrates energy, water, land, climate, and economic systems.
- The model can simulate the impact of changes in population, income, or technology on resource demand and production.
- Scenarios demonstrate a wide range of potential future resource uses based on different assumptions.
Research Evidence
Aim: To develop and validate an integrated model (GCAM v5.1) that represents the interconnectedness of global energy, water, land, climate, and economic systems.
Method: Integrated assessment modelling
Procedure: The GCAM v5.1 model was developed to simulate market equilibrium across global energy, water, land, climate, and economic systems. It operates on a global scale with 5-year time steps from 1990 to 2100. The model's assumptions, inputs, and outputs were described, and 11 scenarios were run to explore the impact of varying socioeconomic and climate policy assumptions on resource use.
Context: Global resource systems modelling
Design Principle
Holistic system analysis is essential for understanding the full lifecycle and systemic impact of design interventions.
How to Apply
Utilize scenario-based modelling to explore the potential resource implications of different design strategies and material choices.
Limitations
The model's outputs are dependent on the assumptions made for socioeconomic and climate policy scenarios, which introduce inherent uncertainties.
Student Guide (IB Design Technology)
Simple Explanation: This study shows how computers can be used to create a 'digital twin' of the world's resources (like energy, water, and land) to predict how they might be used in the future based on different choices we make.
Why This Matters: Understanding how different systems interact helps you make better design decisions that are more sustainable and have fewer negative consequences.
Critical Thinking: How might the assumptions made in such models influence the predicted outcomes, and what are the ethical considerations when using these predictions to guide policy or design?
IA-Ready Paragraph: The GCAM v5.1 model highlights the critical need for integrated systems thinking in design, demonstrating how changes in one resource sector (e.g., energy) can have significant ripple effects across others (e.g., water and land use). This underscores the importance of considering the broader systemic impacts of design decisions to foster sustainability and resource efficiency.
Project Tips
- When researching a design problem, consider how it fits into larger systems.
- Think about how your design might affect resources beyond its immediate function.
How to Use in IA
- Reference this study when discussing the systemic impacts of your design or the importance of considering resource interdependencies in your research.
Examiner Tips
- Demonstrate an understanding of how your design project interacts with broader environmental and economic systems.
Independent Variable: Socioeconomic assumptions, climate policy assumptions
Dependent Variable: Future energy demand, water withdrawals, land use, crop production
Controlled Variables: Model structure, time steps, geographic scope
Strengths
- Comprehensive integration of multiple complex systems.
- Open-source nature allows for transparency and further development.
Critical Questions
- What are the limitations of using aggregated global data for regional design decisions?
- How can the model be adapted to incorporate more granular local contexts?
Extended Essay Application
- An Extended Essay could explore the application of integrated modelling principles to a specific design challenge, such as designing for water scarcity in a particular region, by adapting simplified modelling techniques.
Source
GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems · Geoscientific model development · 2019 · 10.5194/gmd-12-677-2019