Digital Twin for Smart Estate Next Generation Data Centres

Objective

To create planning and operational digital twins of next generation data centres operations that allow integrated design, modelling, simulation, operational optimisation, predictive machine-learning-assisted maintenance, risk quantification and management,cost reduction,productivity,what-if scenario planning,etc.

Data centres are critical facilities for any smart estates. Despite available technologies, current data centres in Singapore are largely designed and constructed with”paper-based” floor plans. There are a number of issues with this traditional approach. Often during the design process, various safety, risk, environmental and operational (including optimization of utilities usage) considerations may not be factored, resulting in changes required after the data centres are constructed or even during construction which needed alternative solutions that either increase cost or have compromises.

  • When the data centres are up, there is a need to track all the important assets that are deployed, monitor expiry dates, maintenance dates and various important parameters of assets.
  • Key documents (e.g. contracts, user guides, user manuals and video clips for software installation) that are associated with the assets are not organized centrally, resulting in time spent searching and distributing of documents.

Desired Outcome

  • To provide a digital twin system that can integrate a typical data centre operators’ workflow with digital information acquired by DCIM (data centre information management system) and BMS (building management system) equipment in existing data centres and their assets.This may consist of visualisation tools such as logical, operational and 3-dimensional views of data centre space, equipment management software, with layers of different information from various equipment such as cooling systems, power supply, connectivity; structural information such as raised floor load capacity; equipment status such as rack temperature, power loads on power supply units, cooling system water flow; loads on computational units, storage units, etc.
  • To develop virtual simulation models to facilitate capacity planning and associated cost quantification
  • To virtually simulate,predict,visualize and quantify the changes to the data centres, so as to allow informed decision to be made before any implementation is finalised.
  • To develop physical simulation models so as to generate inputs for accurate virtual simulations
  • To provide an environment for safe simulations of different assets (e.g. cooling system, compute system, etc.) so that experimentation can be conducted without affecting critical operational and business functions.
  • To provide a sharing environment so that multiple departments (e.g. IT, engineering, finance) can jointly access models and provide feedback, thus fostering collaboration and responsiveness by the departments.
  • To provide APIs for integrated and real-time visualization of data from IoT sensors and IT equipment.
  • To provide functions for uploading and mapping of documents on to virtual assets.

 

Requirements

  • Accurate(within reasonable ranges of error)
  • Comprehensive(satisfy requirements of different departments)
  • Cost effective(capital,maintenance)
  • Scalable with APIs for data integration and inter-operability
  • User Friendly
  • To be applicable in the design and construction of other smart urban buildings and facilities.
    To leverage on computational resource of Singapore base data centre, high performance computing and network resources in the development and piloting of such digital twins and related software applications and algorithm

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