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Metodo

Optimizacion que se puede operar.

Fenexity convierte horarios, requisitos de vehiculos, infraestructura de carga, limites de red y senales de mercado en planes de carga listos para decidir. El metodo es tecnico por debajo; el resultado es operativo.

Optimización de depósito basada en horarios

Red, tarifas, cargadores y vehículos en un mismo modelo

Investigación fundacional sobre carga de autobuses eléctricos, mercados e infraestructura

Aviso

Algunas secciones de esta pagina estan temporalmente en ingles. Se muestran de forma intencional como marcador de posicion hasta que exista una version final revisada.

Inputs

What we need to model a depot

The method starts with the operational reality of the depot rather than a generic charger count.

Operations

Blocks, departures, return windows, reserve requirements, and dispatch exceptions.

Assets

Battery capacities, consumption assumptions, charger power, connector topology, and parking constraints.

Energy

Grid connection, meters, load limits, tariff structures, PV, battery storage, and local EMS signals.

Optimization

What Fenexity optimizes

Readiness first

Vehicles are prioritized by next duty, required energy, operational risk, and charger availability.

Cost under constraints

Charging is shifted around price, peak, and grid limits where the operating schedule allows it.

Robust operations

Plans remain explainable when chargers fail, schedules shift, or local limits change.

Outputs

What teams receive

How Fenexity labels evidence

How Fenexity labels evidence
Evidence typeHow to read itRequired support
CapabilityDescribe what Fenexity doesProduct capability and feature status
ModelledShow scenario rangesAssumptions, sensitivity factors, review date
MeasuredUse in project studiesProject data and publication permission

Evidence boundary

Where public customer references are not available, Fenexity uses capability language and modelled scenarios. Numeric customer outcomes are shown only when validated project data can be published.