TwinPlant is a cloud-based digital twin solution for wastewater treatment plants. Building upon the capabilities and the engine of WEST, TwinPlant integrates process modelling with real-time data acquisition to create a virtual replica of a treatment facility for process monitoring, forecasting, and optimisation.

TwinPlant includes four modules:

  1. The Automated Plant
  2. The Learning Plant
  3. The Predictive Plant
  4. The Optimised Plant

Question #01 - How do I get access to TwinPlant?
To take advantage of TwinPlant’s powerful functionalities, users have access to a web-based interface. This interface enables real-time and predictive process assessment, facilitates what-if scenario testing, and provides intuitive visualisation of optimal operational configurations.

To get started, your company needs to purchase a subscription to one or more modules. In addition, the primary user needs to be able to log into MIKE Cloud and have access to a tenant on the Cloud Platform for data storage (access to this is controlled by an administrator from the user's company). 

Question #02 - Which information can I retrieve from the user interface?
The user interface as well as specific virtual plant(s) can be accessed from

  • The Plant Status section - Figs. 1-2

Once the plant of interest is selected, the user is directed to the Plant Status section view (Fig. 1). The Plant Status section provides an overview of the performance of the plant including visualisations of measurements and model predictions. The section is organised in blocks, representing the main locations at the wastewater treatment plant. In each block, the latest available measurement and prediction for different process indicators (flow Q, COD, TN, TP, TSS, …) is provided.

In the Plant Status section, the user can also gather information (“Simulation Status”) on whether the digital twin is up to date, i.e. data has been successfully acquired and simulations executed (green light), are waiting to be completed (yellow light) or have failed (red light). Additionally, it furnishes precise information regarding the Time of Forecast, indicating the exact moment when the digital twin last updated data pertaining to the plant.

Fig. 1 - "Plant Status" section

Within each block, users can delve into a comprehensive plot view. This feature allows for the visualisation of data from both measured and simulated time series. Users can examine data spanning one week into the past (hindcast) and up to 48 hours into the future (forecast), providing valuable insights into trends and predictions - see example in Fig. 2.

Fig. 2 -  Example of access to a detailed plot view


  • The Plant KPI section - Fig. 3

In the Plant KPI section (Fig. 3), a summary of high-level key performance indicators (KPIs) is presented. On the left hand-side, a bar view enables the user to visualise average values for each KPI in the last week and compare it with target values set by the utility. On the right hand-side, plots for each KPI allow the user to visualise trends over the last two weeks.


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Fig. 3 - “Plant KPI” section with summary of the high-level key performance indicators (KPIs) 

Wish a quick introduction to getting started with TwinPlant? Watch this video - enjoy and learn!


Manuals and Guidelines

TwinPlant User Manual

Product pages



Related Products: Data Link, TwinPlant, WEST
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