Smart RDM is more than a classic EMS (Energy Management System)
It is a platform that combines data from production, energy sources, storage facilities, renewables energy, and the market into a single analytical ecosystem.
This allows companies not only to monitor energy consumption, but also to:
- plan the optimal mix of sources,
- respond to dynamic prices,
- manage DSR,
- balance production and energy in real time,
- reduce costs and environmental footprint,
- increase energy self-sufficiency.
Smart RDM connects the worlds of IT/OT, energy, and manufacturing, creating an intelligent decision-making system rather than just another measurement module.
A complete picture of energy – from machines to renewable energy sources and storage facilities
Smart RDM collects data from:
- machines and production lines,
- technological installations,
- meters and sensors,
- photovoltaics, cogeneration, biogas plants, heat pumps,
- energy storage facilities,
- gas and steam systems,
- purchasing and tariff systems.
This creates a single, coherent energy and production map that shows:
- where and when energy is consumed,
- how much energy is generated by renewable energy sources,
- when it is profitable to charge and discharge storage facilities,
- how changes in production affect the energy balance.
Continuous energy monitoring and optimization that enables management to control energy costs, identify inefficiencies, and support energy-related investment decisions based on real operational data.
Optimal choice of energy sources – when to use renewables energy, grid energy, gas and biomass?
Smart RDM is not limited to energy monitoring. The platform collects data from multiple sources, combines it into a single operating model, and automatically compares the most important factors affecting production costs and emissions. In practice, this means constantly analyzing the company’s energy situation so that decisions are made based on data rather than estimates.
The platform automatically compares, among other things:
• energy costs from various sources and carriers,
• tariffs and dynamic energy market price lists,
• availability and current generation of energy from renewable sources,
• planned and predicted production load,
• energy demand in 15-60 minute and daily horizons,
• weather conditions affecting yields from PV and other renewable sources,
• capacity, status, and operational capabilities of energy storage facilities.
Based on this:
Smart RDM generates operational recommendations that support dispatchers, power engineers, and production managers in their daily decisions.
The system suggests, among other things:
• when it is best to use energy from PV,
• when it is more cost-effective to switch to gas,
• whether and when to start cogeneration or biomass,
• when to charge or discharge the energy storage facility,
• how to avoid exceeding the contractual power and the associated costs,
• how to optimize the energy mix in terms of both costs and CO₂ emissions.
As a result, Smart RDM acts as a decision-making layer for energy: it analyzes data in near real time, predicts the effects of different scenarios, and helps choose the best option.
Intelligent energy management system
Smart RDM dynamically tracks:
- changing prices on exchanges,
- dynamic tariffs,
- market forecasts,
- signals and conditions for DSR (Demand Side Response),
- Certificates of Origin,
- generation and self-consumption of renewable energy sources,
- fuel and energy emissions (CO₂/kWh).
This allows production to be planned taking into account current and forecast energy costs, and gives the plant the opportunity to actively participate in the power market and DSR services. The company can automatically respond to higher prices by shifting consumption to cheaper tariff windows, while maximizing the use of renewable energy when it is most cost-effective.
Cut energy costs and gain full visibility into where your energy is really going.
Discover on our blog how data-driven energy management helps reduce consumption, detect inefficiencies, and turn energy into a competitive advantage.
AI: from consumption patterns to prediction and optimization
Artificial intelligence (AI) in Smart RDM works on energy data in the same way as it does on production data: it not only observes it, but also looks for correlations, deviations, and opportunities for improvement. It analyzes load profiles over time, detects energy losses, anomalies, and unplanned consumption, and then compares them with production loads. This allows it to identify which parts of the process generate excessive consumption and where the real potential for savings lies – both in terms of costs and the environment.
In practice, AI in Smart RDM:
- predicts energy demand in the short term
- suggests how to optimize the mix of sources (grid, gas, cogeneration, RES, storage)
- supports the identification of technical problems before they translate into losses
- provides recommendations for operational and planning activities.
The result?
The organization reduces energy costs, makes better use of its own sources and RES generation, detects irregularities faster, and minimizes environmental losses. Equally important, decisions are not made “after the fact” – Smart RDM allows you to act in advance, before expensive hours, failures, or inefficiencies have time to generate costs.
Smart RDM – smart energy decisions for modern industry
Thanks to Smart RDM, organizations:
- reduce energy costs by up to 15–35%,
- increase self-consumption of renewable energy sources,
- better balance production and energy,
- improve their ESG performance and reduce their environmental footprint,
- increase energy resilience,
- implement DSR without risk,
- gain a competitive advantage through IT/OT data.
It is a system that combines the worlds of energy, manufacturing, and sustainability into one coherent whole.
Visualization of energy and balances – from technology to management
Smart RDM provides:
- energy maps (Sankey),
- load and generation charts,
- balances and source settlements,
- alerts for power overruns and inefficiencies,
- cost and emission reports,
- dashboards for energy specialists, production, and management,
- ESG data.
The entire company works on a single, consistent set of data.
Production + Energy = Full synergy
The biggest advantage of Smart RDM is that the platform combines energy consumption analysis with production information. As a result, the company understands not only how much energy it consumes, but also why, where, and how it can be optimized.
This allows you to answer questions such as:
- Which line consumes energy disproportionately to the load?
- Will changing the production schedule reduce energy costs by 10-30%?
- Is it more cost-effective today to start cogeneration or buy energy from the grid?
- How can I increase the share of my own renewable energy sources?
- When should energy storage be used as a buffer, and when as a cost reducer?
