Increasing energy efficiency requirements and growing operating costs make peak load control a critical task in building operation.
Modern buildings are filled with automation systems, but most solutions still view the energy performance of a facility only through the prism of average BMS and EMS indicators. The HiPerWare platform goes deeper - to the analytics of processes occurring within engineering systems. HiPerWare combines object and technical data - whether BIM models, photo panoramas, P&ID diagrams or other visual representations of infrastructure - with real telemetry measurements from hundreds of sensors: - actual electricity consumption by individual circuits and appliances,- spatial patterns of air temperature,- temperature and pressure parameters in liquid heating and cooling circuits. The data obtained is structured and prepared for further analysis, after which it is processed by an AI module that recognises the signatures of normal and abnormal system operation. As a result, HiPerWare does not simply record the fact that the load has been exceeded - it understands why this happened: which circuit or device caused the peak, how the power was distributed and where the system deviated from the optimal mode. Reduction of peak power consumption is one of the key factors in energy efficiency today. The presence of peaks accounts for a significant proportion of network and power payments, as well as accelerating equipment wear and tear. HiPerWare allows recognising such situations at the level of individual processes and offers reasonable recommendations for minimising them - from correcting HVAC algorithms to balancing phases and optimising turn-on times. Increased energy consumption is caused not by major failures, but by many minor anomalies that are "invisible" to traditional monitoring systems. This approach allows buildings to be operated intelligently and evidence-based, reducing peak energy consumption and costs without compromising the quality of the environment. HiPerWare transforms the digital twin from a static copy into a live system that feels the building's energy and helps to manage it rationally.
Smoothing peak loads directly contributes to decarbonisation: it reduces the need for backup sources, decreases network losses, and increases equipment efficiency. Thanks to in-depth telemetry and transparent analytics, HiPerWare supports compliance with BEHG, GEG, EPBD, CSRD, and ESRS E1/E2 requirements, helping building owners document real energy efficiency and sustainability results. Thus, HiPerWare becomes not only a technical diagnostic tool, but also the basis for sustainable building management, where every decision is backed by data.
Unlike traditional BMS systems, HiPerWare can see how energy is distributed within a building and how energy consumption peaks are formed and developed. The HiPerWare platform collects data from not only BMS or EMS, but also hundreds of sensors that measure consumption, temperature, pressure, and other processes in real time. AI analyses system operation signatures and shows which circuit or device caused the peak. Based on these findings, HiPerWare can generate specific recommendations for reducing them, such as: These include HVAC adjustment, phase balancing and changing switch-on schedules. The result is fewer peaks, less waste and lower emissions. After all, the higher the peak, the more expensive each kilowatt-hour of energy becomes, both in terms of the tariff and the load on the network infrastructure, which requires more power and investment.
Yes, the HiPerWare platform can function effectively by using actual operational data and schematic diagrams, eliminating the need for a comprehensive 3D model while still providing meaningful insights.
The HiPerWare platform simplifies ESG (Environmental, Social, and Governance) and CSRD (Corporate Sustainability Reporting Directive) reporting by automatically documenting all operational parameters in a digital circuit. This automation ensures consistent, up-to-date data for sustainability compliance and performance tracking.
By basing decisions on real data rather than human intuition, HiPerWare helps organisations minimise human error and subjectivity. It continuously learns from historical data, identifies recurring patterns, and provides insights that support smarter, evidence-based decisions.
