Côte d'Ivoire IBX Data Centers · Transition modelFACILITY

The facility's dominant dependency is grid electricity for IT load and cooling, with GHG impact concentrated in Scope 2 emissions; no flow-level energy or water consumption data is populated for this site. Water-related physical pressure is atypical for a data centre: baseline water depletion is negligible (0.08) and baseline water stress is Low (<10%, score 0), but the overall water risk score is 4.28 (Extremely High, >75th percentile), driven almost entirely by an untreated-wastewater score of 5/5 and a moderate riverine flood score (1.94) in the Gulf of Guinea watershed. Coastal flood risk is scored zero despite the Abidjan coastal location, which warrants a data-quality check given the site's low-lying position.

No 2030 horizon values are populated for either water stress/depletion (wd_future_score, ws_future_score) or the Côte d'Ivoire (CI) power grid emissions factor — both horizon fields are null. This means no forward decarbonisation trajectory or water-stress trend is currently available in Reverberate for this site; any 2030 view of grid intensity or water-stress evolution must be sourced externally, as the CI grid mix and its trajectory are undocumented in this dataset.

With 2050 and 2080 horizon fields likewise null for both water and grid indicators, no residual physical-risk or decarbonisation endpoint can be quantified from this dataset. The structural signal to monitor is whether Extremely High untreated-wastewater exposure and riverine flood pressure in the Gulf of Guinea watershed intensify as regional urbanisation and climate variability increase, independent of any water-scarcity trend given the Low baseline water-stress score.