Inverse Modeling of Climate Responses of Monumental Buildings

TL;DR

This paper explores the use of state-space models for inverse modeling of indoor climate responses in monumental buildings, aiming to improve conservation efforts through efficient and physically meaningful simulations.

Contribution

It introduces state-space modeling as a promising, efficient method for inverse modeling of climate responses in unheated monumental buildings, with potential for conservation applications.

Findings

State-space models effectively simulate climate responses.

The approach is computationally efficient, simulating 100 years in less than a second.

The method offers physically meaningful parameters for building climate modeling.

Abstract

The indoor climate conditions of monumental buildings are very important for the conservation of these objects. Simplified models with physical meaning are desired that are capable of simulating temperature and relative humidity. In this paper we research state-space models as methodology for the inverse modeling of climate responses of unheated monumental buildings. It is concluded that this approach is very promising for obtaining physical models and parameters of indoor climate responses. Furthermore state space models can be simulated very efficiently: the simulation duration time of a 100 year hourly based period take less than a second on an ordinary computer.