The Energy Workbench

A CIM based network model data platform providing a scalable application development environment

Sincal Model Builder

Hassle free creation of PSS/SINCAL models

PowerFactory Model Builder

Hassle free creation of DGS & PFD models

Hosting Capacity Analysis

Scalable network-wide power flow scenarios

EDNAR - Network Access

Cradle to grave support for planned network access

Software Development Kit

Supported python & kotlin development frameworks.

Zepben's scalable network planning and grid integration platform enables electricity distribution network operators to break the traditional siloed storage of critical network data, combining network model information to drive improved decisions on network investment, design, and operation over all planning horizons.

Energy Workbench Features

  • Network data models served to client applications at scale and velocity
  • Reduced project ETL (Extract, Transform, Load)
  • Horizontally and vertically scalable to suit a wide range of application development and analysis outcomes.
  • Core data model and Software Development Kit (SDK) is open source and available to third parties for application development.

Outcomes

  • Long-term DER curtailment forecasts at the LV network level, valuing energy unable to be exported and carbon emission impact.

Curtailment Forecasting

  • Forecast voltage compliance and hours of voltage limit exceedance, informing value of equipment damage calculations.

Voltage Compliance

  • Weekly compliance forecast, 1 to 20 years
  • Consecutive voltage exceedances
  • Energy outside of limits for voltage/thermal load and generation.

Reporting

  • Forecast non-wires opportunities
  • Peak kW of exceedance duration
  • kWh of exceedance
  • Value.

Network Opportunities

  • Value of energy at risk, down to LV network level.
  • Forecast customer energy delivered outside voltage standards.

Capacity planning

  • Forecast min/max MV and LV network demands.
  • Forecast Transformer Utilization.

Scenario modelling

  • Forecast Load/Gen Duration Curves for MV and LV network levels.

Duration Curves

  • EV
  • Solar PV
  • Battery Energy Storage
  • Hybrid mixes of DER.

Hosting Capacity

Whole of Network HV-LV & DER modelling.

Scalable Cloud-based Power Flow Analysis

Generate constraint forecasts down to the street level to understand how network assets perform under various future energy scenarios.

Examples of applied analysis from Hosting Capacity Module. Gain deep insights into network-wide voltage performance. Explore seasonal variations in feeder import/export patterns over the forecast period, or dive into the energy mix of LV networks with ease.

EDNAR - Network Access

Cradle to grave support for the planned access workflow streamlines business operations and reduces costs.

  • Improved job visibility across the enterprise reduces demand surge and reactive work practices, resulting in reduced costs and avoidance of cancellations, and improved customer service.
  • Can be integrated with the ADMS and CRM to provide an end-to-end solution for planned work and customer outage notifications.
  • Makes possible complete audit trail and extensive performance reporting for all planned work.

Sincal Model Builder

Hassle free creation of PSS/SINCAL models

The Zepben SINCAL model creation tool provides a hassle free way to create PSS/SINCAL models.

  • Self Service
  • Common Models.

Common Information Model

Build ready-to-go models.

Flexible Model Build: The Sincal exporter works by connecting to Zepben's Energy Workbench (EWB) server, implementing a CIM data model.

  • Build models preloaded with DER information, load data, operating points, variants, protection information, fault levels.
  • Users can select any combination of feeders from a network hierarchy to create a model. The output models are ready to use with no further intervention or import required.

PowerFactory Model Builder

Hassle free creation of DGS & PFD models.

Uses the CIM based network model in the Energy Workbench.

Data Quality and Consistency layer

Potential data issues are logged, and adjustments are made in the PowerFactory model to resolve anomalous network data.

Self-serve & Scalable

Network planners can obtain individual models on the fly, or batch up model builds for all network zones.

Software Development Kits

Supported python & kotlin development frameworks.
Python
PIP installable Python
Software Development Kit
Kotlin Software Development
Kit for enterprise solution
development and
deployment		 Common
Information Model
(CIM)
CIM data model exposed as
python and kotlin classes,
enabling rapid
programmatic access to the
data model		 Network Analysis
Libraries
Library of helper functions to
streamline common network
model interaction tasks
Network tracing library for
scalable programmatic
tracing		 Studies framework
Studies framework to write
arbitrary data layers back to
the Network Explorer map.

EWB CIM Profile | CIM Datamodel

Explore our Common Information Model profiles here... see how the CIM profile is made accessible through our SDKs and GraphQL API.

Our open-source CIM data model simplifies integration and eliminates the limitations of closed, proprietary data models and structures.

How We Handle Your Data

Supported Data Ingestion Formats

Directly ingest from Spatial Warehouse database, which is a popular turn-key ETL application that combines spatial and non-spatial data sources.