The past few decades have seen a significant spurt in developing lower-order, parsimonious
models of large-scale dynamical systems used for design and control. These surrogate …

The worldwide environmentally friendly trend has focused the last decade on emphasizing
the value of energy conservation and reducing the carbon footprint in buildings, achieving …

With the increasing population and urbanization promotion, energy consumption and carbon
emissions have increased, and concern for inefficient energy use and deteriorating urban …

Abstract Model predictive control is widely used as a control technology for the computation
of optimal control inputs of building heating, ventilating, and air conditioning (HVAC) …

Building energy simulation (BES) tools are fundamental for predicting energy performance
and comfort. However, detailed models are computationally complex and demand high …

For achieving carbon neutrality, new buildings must be built according to very high-
performance standards, such that their energy needs can be covered predominantly by …

This paper presents a methodology to automatically determine the structure of sufficiently
accurate grey-box models for model predictive control, energy efficiency and flexibility …

This article explores modeling the thermal process of a Silicon carbide (SiC) metal-oxide-
semiconductor field-effect transistor (mosfet) power module through a finite element analysis …

New functions and requirements of high performance building (HPB) being added and
several regulations and certification conditions being reinforced steadily make it harder for …

This paper introduces the application of the model order reduction (MOR) method using
Laguerre polynomials in building envelope simulation. The dynamic heat transfer problems …