1. Three cases that change the decision

Public lighting: beware of the false “green gain”

Digitization (dimming, detection, connectivity) does not systematically provide a net benefit on environmental indicators. Results vary depending on installed power, lighting profiles, and the switching strategy. Added to this are the light pollution effects on nocturnal biodiversity.

Report conclusion: each scenario must be evaluated on a case-by-case basis, using a consequence tree and sensitivity analyses of dimming profiles. (Source: IT4Green – Public Lighting Digitization)

Nitrogen fertilizer spreading: gains under certain conditions

Image guidance and electronically controlled spreaders can reduce nitrogen inputs, but only if farm type, application frequency, and agronomic practices are properly managed. The tipping point varies depending on the cropping system.

Key message: Digital tools are only beneficial within a system that is already structurally optimized. (Source: IT4Green – Optimization of agricultural inputs)

Dynamic control of high-voltage lines (DLR): measured efficiency

The Dynamic Line Rating shows a robust net benefit across 15 out of 16 indicators. Over 15 years, the deployment of the DLR has enabled:

• 96 GWh of fossil fuel electricity avoided
• 43,912 tCO₂e of emission reduction

But this performance represents only 0.11% of the national effort to decarbonize electricity by 2030.

Conclusion: A useful tool, but only as a supplement. (Source: IT4Green – Network Digitization and Amplitude)

2. A recurring pitfall: the rebound effect

In "Tire-as-a-Service" offerings, environmental benefits appear as low as 0.03% fuel savings or 1,000 km of additional tire life. However, an increase in activity of less than 1% is enough to negate the overall benefit.

Conclusion: without governance of usage, all technological progress becomes a mere shift in impact. (Source: IT4Green – Tire-as-a-Service)

3. What this implies for urban and territorial biodiversity

• No “digital solution by principle”: prioritize structural sobriety (sized LEDs, nighttime shutdowns, dark framework), then add only the digital building blocks that have proven an overall net gain.
• Agriculture: digital optimization only makes sense in a rotating and autonomous system, integrating legumes and cover crops.
• Energy networks: prioritize cases where data avoids heavy work and reduces systemic pressure (shrinkage).
• Transport: include anti-rebound clauses and verifiable indicators in performance contracts.

4. IRICE Method: making quick and fair decisions

1. Define the unit of analysis and the period.
2. Map the tree of consequences (direct effects, indirect effects, inductions, rebounds).
3. Select appropriate indicators: biodiversity, energy, resources, light pollution.
4. Define environmental profitability thresholds.
5. Document the assumptions and perform realistic sensitivity analyses.
6. Establish governance and monitoring frameworks to prevent rebounds (ceilings, audits, thresholds).

5. In practice

• Local authorities: test the reduction of lighting in a pilot area by measuring consumption, complaints and nocturnal wildlife.
• Land planners and farmers: compare fertilization scenarios integrating legumes and cover crops.
• Energy companies: target network segments with high potential for avoided peak shaving.
• Fleet operators: linking remuneration and measured net earnings.

Conclusion

Digitization is neither good nor bad in itself. The right decision combines restraint, data-driven evidence, and rebound protections. The reality on the ground will be the deciding factor.

Learn more on the ADEME website