DIRECT AUTOMIZE MANUAL
DIRECT AUTOMIZE SOFTWARE
DIRECT AUTOMIZE TRIAL

DIRECT AUTOMIZE SOFTWARE

Similar results are to been seen for Biomass-to-Energy plants.Top Software Keywords Show more Show lessД®asy to use, No programming is required.

DIRECT AUTOMIZE TRIAL

The results of the trial exceeded both our and the plantвЂ™s expectations.ДЄside from efficiency, our client was also able to reduce the plantвЂ™s carbon footprint: O2 levels were cut by 30%, their use of consumables such as oil was reduced, while both steam and O2 levels operating steadier.Д¬rucially, using ANNs meant that AI could be implemented directly into the plantвЂ™s Distributed Control System (DCS), whilst leaving all the plant safety systems undisturbed and removing any data security risks associated with cloud-based AI.Д«y increasing both waste throughput and steam output, our AI solution increased efficiency and return on investment at both ends of the EFW business model. Every second itвЂ™s in operation, itвЂ™s making a difference. Our AI uses all that information to understand the process continuously over time and make optimized decisions about the operation of 12 different control functions such as dampers and the load factor. The input signals used by the neural network include all the measurements recorded by the plantвЂ™s sensors, such as steam flow, with the outputs controlling firing-rate in the boiler. It brings together the on-site teamвЂ™s expertise and data combined with our expert know-how in operations and engineering to continuously self- optimize their processes and predict complex events before they happen. The AI tool is constantly optimizing the firing-rate control in the boiler, 24/7, including during dead times. It uses 24 measurements and leverages all relevant sensor data to analyze an 80-minute timeframe. So, we developed an AI tool that can function as the autopilot of the combustion process.Д«y using artificial neural networks (ANNs), capable of modelling and processing non-linear relationships between inputs and outputs in parallel, our AI tool effectively learns from the plantвЂ™s best human operator to control firing-rate in the boiler.Д¬apable of handling huge complexities, our AI tool learnt the plantвЂ™s whole process вЂ“ from waste input to energy output. Data analysis and prediction models would be able to explain some developments however, the plant need a tool that directly supports their day-to-day operations of the combustion process. We quickly identified that traditional ways to automize wouldnвЂ™t help in this case. The site team initially approached us for help to improve firing control in their waste incineration boiler. The ongoing pilot project, which has run for 26 months and well over 18,000 run hours to date, is the first of its kind anywhere in the world and aims to overcome the challenges of using AI in the sector while delivering multiple benefits.

DIRECT AUTOMIZE MANUAL

The quality of the input is constantly changing and impacting the combustion process, long dead times make automating process control systems much more complex, and human operators often manage several units at once, impacting on the effectiveness of manual control.ДЄs part of our focus on digital engineering, weвЂ™ve been trialling the benefits of using AI live at our clientвЂ™s EFW plant in Germany. Alongside plant challenges, operational teams also navigate a range of specific process issues. the customerвЂ™s throughput and steam production while reducing its emissions.ДЄrtificial intelligence (AI) represents a huge opportunity for Energy from waste (EFW) and Biomass-to-Energy plants but historically, itвЂ™s also raised several challenges вЂ“ especially around data security and budget restraints.Д®FW and biomass projects face several sector-specific issues and need to optimize multiple KPIs вЂ“ from waste throughput to energy efficiency and reducing O2 and emissions.

By customizing the AI tool using the historical data of the respective process, Uniper increased e.g. Uniper has developed a neural network-based tool that directly operates asset processes such as the combustion in waste-to-energy or biomass-to-energy.

Direct automize