Building energy management platform uses AI and statistical methods to optimize operations

The analysis crew led by Dr. Jeong Hak-geun on the Power ICT Analysis Division of the Korea Institute of Power Analysis (KIER) has developed a constructing vitality administration platform know-how that transforms buildings from being the primary shoppers of vitality into entities that produce, handle, and save vitality.

Buildings exhibit various ranges of vitality consumption relying on their use, location, and the traits of their customers, even all the way down to totally different flooring and zones throughout the identical constructing.

In gentle of initiatives similar to carbon neutrality and RE100, many buildings are actually implementing renewable vitality options like solar panelsgas cells, and vitality storage methods. Moreover, because the utilization of high-end electrical appliances continues to develop, it has develop into essential to handle constructing vitality for environment friendly consumption successfully.

Current Constructing Power Administration System (BEMS) applied sciences primarily depend on easy monitoring of vitality utilization and the expertise of constructing managers to function the system. This method makes it troublesome to effectively handle the more and more numerous distributed assets inside buildings and numerous sorts of energy consumption. Furthermore, it limits real-time standing diagnostics of distributed assets for addressing malfunctions.

To beat these limitations, the analysis crew developed a platform know-how that makes use of artificial intelligence and probabilistic/statistical strategies to handle the real-time malfunctions and working standing of distributed assets (similar to solar energy era, vitality storage methods, HVAC methods, inverters, and so on.) inside buildings.

This know-how automates the evaluation of working circumstances and fault analysis, in addition to the optimization of useful resource operation in actual time, thereby enhancing effectivity and lowering energy costs.

The analysis crew collected numerous sorts of fault knowledge and environmental knowledge, which have been then modeled and analyzed. By making use of synthetic intelligence and probabilistic/statistical methods realized from this course of, they achieved a fault detection accuracy of over 98% for distributed assets. Not solely that, however the platform additionally incorporates next-generation safe communication applied sciences utilizing quantum cryptography and quantum-resistant cryptography, enabling it to face up to cyber assaults with robustness at safety stage 5.

Autonomous operation know-how has additionally been utilized to answer and recuperate from numerous faults that may happen in distributed assets. The researchers have developed autonomous operation know-how with a nonlinear optimization algorithm. This algorithm optimizes operations amongst distributed assets in real-time, making it doable to right away derive and function the optimum utilization plan for distributed assets when a fault happens.

The analysis crew, after a 12 months of verification in a mock-up testbed that exactly simulates an actual constructing surroundings, confirmed that the platform know-how they developed resulted in additional than 17% vitality price financial savings in comparison with current constructing vitality administration methods.

Furthermore, by means of this analysis, they produced vital outcomes, together with 50 SCI(E)-level papers, 27 home and worldwide patent functions with 4 registrations, and eight instances of know-how switch, proving the excellence of the analysis outcomes. They’re presently on the verge of commercialization.

Dr. Jeong Hak-geun, the lead researcher, said, “The developed platform is equipped with sophisticated algorithms for improving utilization efficiency and can flexibly apply to various buildings such as offices, factories, and hotels by managing the fault status of distributed resources in real-time. It is a market-leading technology that can significantly reduce energy loss and maintenance costs, contributing to carbon neutrality.”