SPEAR was a pan-European research project proudly bearing the ITEA label. The consortium consisted of 22 partners from five European countries. As the name suggests, SPEAR aimed 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 hosts a comprehensive set of optimisation algorithms - each one facilitating an effective and profitable energy optimisation of highly complex production processes. SPEAR does 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 is supported. Moreover, the energy-specific optimisation of existing and new production plants during virtual commissioning and during the running production is supported.
SPEAR overcomes available approaches by means of a unique mechanism. Instead of using estimated or simplified models for the simulation-based optimisation, our solution makes use of 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 together with the developed optimization algorithms enables a significant reduction of energy consumption and costs.
SPEAR created an extendable platform for energy and efficiency optimizations of production systems with the following features
Usable as a local or cloud based application
Adapts the energy usage of the production system to the current energy supply
Upgrades classic production system to cyber physical production systems to allow measurement of signals
Integrates physical models to calculate the energy demand instead of using cost-intensive sensors to measure it
Uses FMI standard (Functional Mockup Interface) as basis for energy modelling and simulation
Provides a simulation of the production system to predict current and future energy usage and costs of components over time
Simulates the energy usage on a distributed infrastructure consisting of low-cost hardware and/or desktop computers with different operating systems
Simulation of energy behavior runs in parallel with existing mechanical simulation tools
Permanently updates the simulation system with the cyber physical measurements
The software connecting the simulation and the real production system’s signals is provided as Open Source
Distribution of energy simulation, coupling with mechanical simulation and with real production systems is based on ROS™ (Robot Operating System)
Provides an extendable library of optimization methods
TODO: add a sentence about the optimization methods themselves
Optimization methods can be extended independently of the optimization platform
PRESENTATION OF THE RESULTS
Project SPEAR Main Video
Project SPEAR WP2 Results
Project SPEAR WP3 Results
Project SPEAR WP4 Results
Project SPEAR WP5 Results