Addressing the significant energy consumption from digital applications and systems, the document highlights the urgent need to develop and use low-energy consuming solutions to meet global climate targets. The widespread use of AI and LDTs increases this demand, necessitating careful assessment and reduction of energy requirements while ensuring effective performance. The proposed solution involves designing systems with energy efficiency as a core principle. This includes resource-efficient development methodologies, such as using efficient programming languages and optimizing system usage to minimize unnecessary energy consumption. Emphasis is placed on green hosting options and efficient data processing to reduce carbon emissions. The learning unit covers strategies for creating sustainable digital systems, including energy-efficient architecture and green hosting practices. It also addresses user behavior modifications and system design alterations, such as dark mode usage and optimized data queries, to minimize energy consumption. The unit encourages tracking and transparency of energy use to promote awareness and responsible computing.
T4R - Learning journey
Learning with Microlearning Units
Mission Green Web – Mission Green Twin?
FRAMEWORK:
ETHICS, INCLUSION, DEMOCRATIZATION
MODULE:
Inclusivity and accessibility by design
EQF 5
EID-203
| EID-200 | second loop |
|---|---|
| Mission Green Web - Mission Green Twin? | Learner knows the range of energy consumption for digital or online services and knows services or mathods to calculate and explain energy consumption. Learner distinguishes between energy usage in design and during application use (e.g., LDTs). Learner uses strong arguments and can explain energy consumption calculations in comparison to everyday tech usage to colleagues. |




