ESG & Sustainability

Mapping Environmental & Energy Networks with Total Visibility

Carbon Footprint Tracking: Node-Level Deep Dives

This visualization unpacks complex, multi-input and multi-output emission intersections – classified here as a ‘Mesh’ role. Selecting a bridging node like Scope 2 instantly isolates its specific supply-and-demand network, clarifying its exact operational footprint without losing the broader data context.

The detailed panel exposes the node’s internal dynamics, providing a clear ranking of Top Inputs (e.g., grid electricity, district steam) and Top Outputs (e.g., HQ lighting, data centers). This eliminates manual data aggregation, giving leadership direct access to strategic metrics like total network share (23.7%) and precise peer benchmarking (+21.7pp). These node-level insights enable data-driven, targeted carbon optimizations across the enterprise.

SankeyEngine - Carbon Footprint Report Sankey Diagram

Carbon Footprint Tracking: Unmasking Hidden Cost Drivers

The Sankey diagram tracks carbon footprint drivers, focusing on the specific impact of outliers. Selecting the ‘Kerosene’ node highlights its entire downstream flow in red, revealing the cascading effect of this emission source. The visualization traces the flow through operational tiers – such as ‘Business Travel’ and ‘Human Resources’ – directly into final impact zones like ‘Regional (EU)’ and ‘Luxembourg Staff’. A detailed popup quantifies the node’s metrics, identifying it as a ‘Significant Outlier’ with a system influence 3.1 times the network average.

Energy Infrastructure Oversight: From Generation to Grid Demand

This visualization tracks energy transformation across complex utility networks. Isolating the ‘Generation’ intersection maps the exact flow of diverse renewable and thermal inputs directly toward final industrial and residential demand.

The structural breakdown instantly exposes the composition of this macro-level phase:

  • Top Inputs: Quantifies the raw energy mix by volume – led by Solar (39.3%) and Geothermal (27.0%).
  • Top Outputs: Details how pooled energy is distributed to downstream infrastructure layers, such as PV Plants (25.8%) and Deep Well Systems (18.0%).
SankeyEngine - Mapping Technical Complexity

The data reveals this node commands a 42.4% network share, operating as a significant outlier at 2.1x the average system weight. By bridging the gap between macro-level portfolio tracking and micro-level transmission logic, it provides leadership with complete clarity over generation pathways, resource allocation, and system inefficiencies.