Forward IT’s Post

Transforming the Energy Landscape through Intelligent Control Systems Energy infrastructure is evolving faster than ever - and at the heart of this transformation lies one essential ingredient: intelligent control. Kontron AG is proud to power a leading multinational energy equipment manufacturer with a next-generation IoT-based control solution - in a market poised for more than $100 million in growth over the coming years. Why this matters: - It brings digital reliability and efficiency to critical energy operations. - It strengthens the backbone of industrial automation worldwide. - It demonstrates how Kontron’s long-lifecycle technology supports sustainable, future-proof systems. This collaboration is more than a milestone - it’s a signal of how smart edge technology and industrial IoT are redefining performance, resilience, and value creation in the global energy sector. “Our platforms are built to help leading companies achieve new standards in reliability, security, and operational excellence.” - Ted Christiansen, CEO Kontron Americas At Kontron, we believe innovation is meaningful when it drives both business growth and long-term stability - for our partners, investors and the industries we serve. #EnergyTransition #IndustrialIoT #SmartEdge #Automation #Kontron 

We’re excited to introduce Edgy Systems, the intelligence layer built for the next generation of energy systems. As the number and complexity of energy installations continue to grow, the challenge of integrating and managing assets from different suppliers only becomes harder. That’s where Edgy comes in. We deploy on existing installations, integrating all asset data into one unified platform to connect, monitor, and optimize energy systems, regardless of the hardware supplier. To do so seamlessly, we rely on our IoT modularity, hybrid gateway approach and unique AI agent combination: 🤝 For integration - Bringing every asset into one ecosystem. 🛠️ For maintenance - Tickets, alarms and support while repairing. 📑 For reporting - Automatizing energy manager work. 🧠 For optimization - To reduce both costs and carbon footprint. 🔋 For flexibility - To unlock all flexibility potential from your assets. Real progress toward decarbonization begins with understanding and managing the complexity of our energy landscape. Our vision is to aggregate all assets into dynamic digital twin models, empowering communities to optimize, decarbonize, and grow sustainably. Energy, in Harmony. https://lnkd.in/dANB9B74

Is managing your battery storage fleet a complex challenge? Harmony Energy, a leading UK developer of grid-scale energy storage projects found a solution. Scaling a battery energy storage system (BESS) fleet comes with its share of complexities. Harmony Energy faced challenges in integrating multiple OEMs, tracking performance, and pinpointing infrastructure issues. Discover how EnOS™ Storage is helping Harmony Energy unlock the full value of their battery storage assets. https://lnkd.in/dpQHrqPV #energystorage #BESS #renewableenergy #HarmonyEnergy #Univers #energymanagement #AI #IoT

Redefining the Grid: How Artificial Intelligence is Driving the Smart Energy Systems of the Future The global energy landscape is undergoing a fundamental transformation—a convergence of data intelligence, sustainability, and real-time optimization Over the past decade, I've witnessed firsthand how artificial intelligence has evolved from an auxiliary tool into the central nervous system of modern energy systems. We've leveraged machine learning to predict generation efficiency and reduce peak load errors. We've built energy IoT platforms, integrating AI dispatching into SCADA systems to achieve automated load balancing across regions. Our mission is even grander—to design AI-driven energy balancing systems that dynamically coordinate renewable energy generation, demand, and storage across markets. With predictive models improving the accuracy of wind and solar forecasts by 22%, and trading algorithms optimizing grid load in real time, we're one step closer to a truly self-learning, adaptive energy network But innovation isn't just about efficiency It's about responsibility—ensuring our data-driven systems not only improve performance but also promote sustainability and equity. Collaboration between industry, policymakers, and AI scientists will determine whether we can build an ethical and intelligent grid The energy of the future is not static—it will think, adapt, and learn. And this is the most exciting change🌍⚡

Is long-range UHF charging feasible? Harvesting energy from the ambient environment sounds like a technology that's too good to be true. Note that there is no energy input like that of photovoltaics. Its input comes from a UHF device that consumes 27 W and has an output power of 1 W, paired with a 0 dB antenna—something similar to a UHF reader/writer, a device that transmits radio frequency (RF) energy and information. The electromagnetic waves do not seem to need to contain modulated digital signals, nor do they require the decoding of return signals. Therefore, the tag only needs to receive the electromagnetic waves: the energy of the waves is captured, and then this energy is stored in capacitors or other energy storage components. This is how the process of RF long-range charging would be realized. Of course, there is also the issue of energy conversion efficiency in RF energy conversion that I do not fully understand: For AC-to-DC chips, does the transmission of signals without data result in less energy attenuation? I have only understood a little bit of this information, and what I do understand may not even be accurate. But what I can clearly observe is that this chip continuously harvests a current of 50 microamps from the ambient environment. This amount of energy is insufficient to drive any IOT pulsed current (such as that of Bluetooth, which requires 15 milliamps, for example). Thus, energy storage components must be used to meet pulsed demands like those of Bluetooth. The production and development of this prototype tag certainly present significant challenges.

A new training by Spark for Innovation and Creativity | Smart Water Management Systems At Spark, we believe that real reconstruction begins with the efforts of our youth — with minds that dream, create, and build a smarter, more sustainable future. From this belief, we announce a specialized training in Smart Water Management Systems (IoT), empowering engineers and tech enthusiasts to design practical water and agriculture solutions using sensors, controllers, and renewable energy. https://lnkd.in/eJjPYrNr

Most companies already have a lot of energy meters and data sources. The problem isn’t data. It’s getting the data out of the local systems where they reside. Every building runs on a mix of systems: BMS, IoT, submeters, utility feeds, solar inverters… and each one speaks a different language. Integrating all of that is slow, messy, and often locked behind vendors. That’s why we built Enersee 𝐂𝐨𝐧𝐧𝐞𝐜𝐭. It’s the integration layer that makes energy data actually usable. Connect pulls information from any source — meters, gateways, APIs — cleans it, checks quality, and pushes it into a format ready for analytics, reporting, or AI models. But the real value is this: you can finally trust your data. No more black-box connectors, no more guessing which values are valid, no more waiting months for integrations. Enersee Connect makes data integration transparent, fast, and open — so customers, partners, and integrators can focus on what matters: turning data into action. Because the hardest part of energy management isn’t finding insights. It’s getting good data in the first place. Check the link in the comments to find out more, or drop me a message for more details!

In today’s rapidly evolving energy landscape, Low Voltage (LV) Automation is quietly transforming how we manage and control power. From smart panels to IoT-based monitoring, LV automation bridges traditional electrical systems with digital intelligence enabling real-time insights, predictive maintenance, and optimized energy use. Imagine a system that not only distributes electricity but also: ✅ Detects overloads before they happen ✅ Reports energy consumption instantly ✅ Communicates with Building Management Systems (BMS) ✅ Adapts to load demand automatically This is the future of electrical networks — efficient, self-learning, and interconnected. As engineers, our role is no longer limited to cables and circuits — it’s about integrating intelligence into energy. 🔋 Smart LV systems = Smart decisions = Sustainable power. #ElectricalEngineering #Automation #SmartGrids #LVSystems #PowerDistribution #IoT #EnergyEfficiency #Innovation #DigitalTransformation

Electricity Loss Management System (ELMS) It is no longer optional; it’s a vital digital tool for modern utilities seeking operational excellence. 1. Understanding the Challenge Electricity losses in distribution networks can range normally from 8% to 25% depending on grid design, infrastructure age, and management practices. Technical losses arise from conductor resistance, transformer inefficiency, and system overloading, while non-technical losses stem from theft, metering errors, or unbilled energy. Without an integrated monitoring and analytics system, identifying and addressing these losses becomes complex and reactive. 2. Data-Driven Visibility An advanced ELMS integrates IoT sensors, smart meters, and SCADA data to provide real-time visibility across the network. Through data analytics, utilities can pinpoint high-loss feeders, detect abnormal consumption, and simulate network behavior to predict potential inefficiencies. 3. Targeted Interventions Loss analytics helps prioritize investments — from reconductoring and transformer upgrades to meter replacement and network reconfiguration. Predictive tools allow teams to address issues before they escalate, reducing both downtime and system stress. 4. Financial and Sustainability Impact Every percentage point reduction in loss directly translates to improved bottom line and reduced carbon footprint. Efficient energy use also enhances grid stability, reduces fuel consumption in generation, and supports national sustainability goals. 5. A Step Toward Smarter Grids An effective Electricity Loss Management System is not just about saving energy; it’s about building a smarter, self-correcting grid. It enables utilities to make informed decisions, optimize load flow, and support renewable integration — key pillars for a digital, resilient energy future. At Sähkö Energiä, we believe in transforming traditional distribution networks into data-driven, intelligent ecosystems. Our solutions in IoT, AI, and network automation empower utilities to monitor, analyze, and act — turning energy losses into opportunities for performance improvement. www.sahkoenergia.com #SähköEnergiä #electricitylossmanagementsolution #GridInnovation #SustainableEnergy #SmartGrid #MVCC #electricity #Energy #coveredconductor #cableaccessories #cablemanagementsystem #overheadelectricitynetwork #gridmonitoring #UVIRSYS #smartgridsolutions #gridmonitoringsolutions #smartgridiotsolutions #energyefficiency #bromteck #tecsysdobrasil #amokabel #plamendoo #mekapro #SahkoEnergia #Innovation #IoT #AI #EnergyTransformation

Concentrated Solar Thermal (CST): Innovative approaches use concentrated solar power systems to provide the high temperatures required for the calcination process, significantly cutting down on fossil fuel use. Power Consumption Reduction Energy-Efficient Technologies: The adoption of advanced machinery is key. This includes using preheater/precalciner kiln systems, Variable Frequency Drives (VFDs) on motors and fans, high-efficiency separators, and modern clinker coolers. Process Optimization via Industry 4.0: The use of smart technologies like Artificial Intelligence (AI), Internet of Things (IoT), and process automation optimizes operational efficiency, reduces idle power consumption, and ensures energy usage is kept at optimal levels. Equipment Upgrades: Simple yet effective upgrades like replacing V-belts with cogged belts, using FRP blades instead of metal in fans, and optimizing compressor power also yield significant energy savings. Transition to Dry Process: The industry has largely transitioned from the energy-intensive wet manufacturing process to the dry process, which consumes significantly less energy.