Petr Endel

TL;DR: In this article, a set of fault detection and diagnosis tools for dynamic energy efficiency monitoring and assessment in condensing boilers is presented, i.e., performance degradation and faults can be detected using real-time measurements.

TL;DR: In this article, dual estimation schemes based on Extended Kalman Filtering (EKF) and Unscented Kalman Filter (UKF) were developed for constructing building energy models from data, where an implicit discretization (Euler backward method) was adopted to discretize the continuous-time heat transfer dynamics.

TL;DR: In this paper, the authors developed long-term optimal maintenance strategies, which are model-based and specifically employ the dynamics of boiler efficiency and of anticipated heating demand, both of which are identified from empirical data.

TL;DR: A holistic framework for energy-aware and comfort-driven maintenance is proposed: energy management and maintenance scheduling are integrated in the same optimization framework and continuous and discrete states are embedded as hybrid dynamics of the system.

TL;DR: In this paper, a fuel valve for regulating a flow of fuel to a combustion appliance includes a control module configured to determine fuel consumption based on a measure related to fuel flow through the fuel valve.