Smart Prognosis of Energy with Allocation of Resources



SPEAR is a pan-European research project, which proudly bears the ITEA label. The consortium consists of 26 partners from six European countries. As the name dictates, SPEAR aims to spawn ground-breaking research results and prototypes for energy optimisation in industrial production processes.

SPEAR’s heart is an extremely flexible and highly generic optimisation platform. This platform will host a comprehensive set of optimisation algorithms - each one facilitating an effective and profitable energy optimisation of highly complex production processes. SPEAR will not focus on isolated industry sectors, rather, a broad spectrum of application domains like production processes in common plants, production lines, buildings, hybrid drives, and wind turbine drive trains will be supported. Moreover, the energy-specific optimisation of existing and new production plants during virtual commissioning and during the running production will be supported.

SPEAR will overcome available approaches by means of a unique mechanism. Instead of using estimated or abbreviated models for the simulation-based optimisation, our solution will engage the real device-provided simulation models in order to produce highly accurate forecasts for the energy consumption of industrial production processes. The accuracy of these forecasts will enable an optimisation that has to find its match.


Create an extendable platform for energy and efficiency optimizations of production systems

  • Usable as a local or cloud based application

  • Adapt the energy usage of the production system to the current energy supply Upgrade classic production system to cyber physical production systems to allow measurement of signals

  • SPEAR integrates physical models to calculate the energy demand instead of using cost-intensive sensors to measure it Create a simulation of the production system to predict current and future energy costs of components

  • Simulates the energy usage in real time on low-cost hardware

  • Allows prediction of the energy usage of components over time Permanently update the simulation system with the cyber physical measurements

  • The software to connect the simulation and the real production systems signals will be Open Source Create an extendable library of optimization methods

  • Can be extended independently of the optimization platform


Latest News

German Consortium Meeting

From December 11th until December 12th, the German SPEAR consortium came together in Stuttgart in order to determine the current project status and to discuss the next steps for the year 2018. The meeting was held at the premises of our SPEAR partner TWT GmbH Science & Innovation as well as at the factory premises of our associated Partner DAIMLER AG.

The meeting was extremely fruitful, not only that we managed to set up a clear schedule for the next six moths, but we also gained insight into the daily business of our hosts TWT and DAIMLER. On the first day’s evening, we came together for a traditional Swabian dinner in downtown Stuttgart and celebrated a successful project start.

Kickoff Meeting

We can proudly state that SPEAR was officially kicked-off! The official kick-off meeting was held on September 5th and 6th in Fulda, Germany. Despite the kickoff was done with emphasis on the German consortium (representatives of the the German project controller DLR-PT were present) all partners participated in the meeting.

The kick-off was held at the corporate headquarters of FFT Produktionssysteme GmbH & Co. KG. It was the first event in which all partners came together and was comprehensively used to discuss the individual objectives and hopes that each partner puts in SPEAR. The evening of the 5th was concluded with traditional Hessian cuisine in downtown Fulda.

SPEAR consortium presents official logo

The SPEAR consortium agreed on a joint project logo. Proposals were made by most of the partners while the final selection was done by vote. The winning logo was created by the award-winning design team of DAI-Labor, Technische Universität Berlin.