Dimitrios V. Rovas

TL;DR: The method is ideally suited for the repeated and rapid evaluations required in the context of parameter estimation, design, optimization, and real-time control.

TL;DR: A review on the technological developments in each of the essential ingredients that may support the future integration of successful NZEB/PEB, i.e. accurate simulation models, sensors and actuators and last but not least the building optimization and control are presented.

TL;DR: In this paper, a technique for the prediction of linear-functional outputs of elliptic partial differential equations with affine parameter dependence is presented, where the essential components are (i) rapidly convergent global reduced-basis approximations -Galerkin projection onto a space WN spanned by solutions of the governing partial differential equation at N selected points in parameter space; (ii) a posteriori error estimation relaxations of the error-residual equation that provide inexpensive yet sharp bounds for the error in the outputs of interest; and (iii) off-line/

TL;DR: The procedure is introduced; the asymptotic bounding properties and optimal convergence rate of the error estimator are proved; computational considerations are discussed; and, finally, corroborating numerical results are presented.

TL;DR: The method is ideally suited for the repeated and rapid evaluations required in the context of parameter estimation, design, optimization, and real-time control.