EA-SAS Boiler feature: Hydraulic losses calculation. Digital Twin functionality allow to continuously calculate hydraulic losses through flue gas path. Digital Twin involve live flue gas metered data also as flue gas mass flow from furnace estimated data. Tracking of Hydraulic losses is mainly used for monitoring purposes during a long period of time. Increased hydraulic
Read more »EA-SAS Boiler feature: Boiler heat transfer coefficient calculation. Digital Twin functionality allow to continuously calculate heat transfer coefficient from metered inlet and outlet values. Boiler heat transfer coefficient is a measure of the boiler’s ability to transfer heat. Lower than usual or descending heat transfer coefficient may indicate decreased heat transfer surface area thus alarming
Read more »EA-SAS Heating feature: Cost optimization of grid thermal losses and electricity for pump. Digital Twin functionality allows to optimally control Network Pumps and DHN supply temperature based on thermal and electrical energy costs in real time. Higher supply temperature results in higher thermal losses, lower mass flow and pump electricity consumption and vice versa. EA-SAS
Read more »EA-SAS Drying feature: Milk powder Fluid bed drying energy optimization. Digital Twin functionality allow to optimize Drying process by: 1) Temperature control. EA-SAS Drying in real time gives optimal temperature set points to achieve drying process requirements with lowest energy consumption; 2) Supply air control via optimal ventilators real-time flow rate setting; 3) Balancing drying
Read more »EA-SAS Cooling feature: Refrigeration optimization and product planning according to electricity spot price. While refrigeration is an energy-intensive process, Digital Twin functionality allow calculate true cooling energy consumption link to production and electricity price also as successfully achieve planned production goals. EA-SAS Cooling is a Digital Twin and AI based solution designed to reduce electricity
Read more »EA-SAS Boiler new functionality: Fuel layer calculation. It allows to track if the amount of fuel supplied to the furnace by the grate is optimal. Fuel layer impacts combustion process: thicker layer of fuel requires higher amount of primary air. Optimal amount of primary air is crucial for efficient combustion process. For example, in case
Read more »EA-SAS Heating, a platform for the energy sector that employs artificial intelligence techniques and Digital Twin technology for the energy sector, is a solution which allows to save energy and reduce CO2 emissions. DEnergy Advice developed the platform to optimise district heating network operation including energy generation, transmission and consumption. With global natural gas prices
Read more »Observability and state estimation of District heating network is performed in real time by Digital Twin solution. Results are monitored by Utility operator in real-time on operators computer screen. Indicators such as environmental temperature, heat consumption and production are forecasted, heat supply flow temperature is calculated, and changes over the time are monitored. This system
Read more »Nowadays as climate change is becoming a challenge, new directives and social initiatives are enforced to reduce CO2 emissions. Sustainable approach is used to reach CO2 goals. On one hand, the solutions is to move to cleaner renewable energy sources. On other hand, use of Digitalization solutions to increase sustainability of existing systems and increase
Read more »Biomass boiler analytics and real time control based on Industry 5.0 concepts INDUSTRY 5.0 CONCEPTS Nowadays, many companies are or already have implemented Industry 4.0 concepts that are focused on digitalization. Usually, they have smart metering devices, digitalized technical documentation, and schemes of engineering systems. IT systems and personnel processes are integrated into a centralized
Read more »Digitisation of heating networks: practical insights BIG DATA IS BOTH A BENEFIT AND A CHALLENGE It would be effortful to find a business operating under the circumstances of the status quo in the 21st century – the era of global digitisation. Endeavouring to streamline their business processes, ensure service quality, reliability, and, simultaneously, to cut
Read more »Selection of optimal current transformer for specific application should evaluate not only transformer voltage level, turns ratio and accuracy, but also accuracy limit factor. This allows to avoid critical measurement errors due to transformer core saturation. The rated accuracy limiting factor is the ratio of the rated accuracy limit primary current to the rated primary
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