Goal-oriented sensor placement and model updating strategies applied to a real building in the Sense-City equipment under controlled winter and heat wave scenarios

Energy and Buildings - Tập 231 - Trang 110486 - 2021
Zohra Djatouti1, Julien Waeytens1, Ludovic Chamoin2, Patrice Chatellier1
1Univ. Gustave Eiffel, 14-20 Bd Newton, F-77447 Marne-La-Vallée Cedex 2, France
2Université Paris-Saclay, ENS Paris-Saclay, CNRS, LMT, 4 Av des Sciences, F-91190 Gif-sur-Yvette, France

Tài liệu tham khảo

ADEME. Climat, air et énergie. Chiffres-clés. Édition 2018 (in french). Technical report, ADEME, 2018.

AFNOR. Norm ISO 9869–1:2014 Thermal insulation - Building elements - In-situ measurement of thermal resistance and thermal transmittance - Part 1 : heat flow meter method, 2014.

International Energy Agency. Energy efficiency: buildings. https://www.iea.org/topics/energyefficiency/buildings/, 2019. Accessed: 09/18/2019.

Allix, 2005, Identification strategy in the presence of corrupted measurements, Engineering Computations, 22, 487, 10.1108/02644400510602989

Arnesano, 2016, A tool for the optimal sensor placement to optimize temperature monitoring in large sports spaces, Automation in Construction, 68, 223, 10.1016/j.autcon.2016.05.012

ASHRAE. ASHRAE Handbook – Fundamentals (SI), pages 1–1000. Isbn: 9781939200587, 9781939200594 edition, 2017.

Aude, 2000, Sensitivity analysis and validation of buildings’ thermal models using adjoint-code method, Energy and Buildings, 31, 267, 10.1016/S0378-7788(99)00033-X

Berger, 2017, Review of Reduced Order Models for Heat and Moisture Transfer in Building Physics with Emphasis in PGD Approaches, Archives of computational methods in engineering, 24, 655, 10.1007/s11831-016-9184-1

Berger, 2016, Bayesian inference for estimating thermal properties of a historic building wall, Building and Environment, 106, 327, 10.1016/j.buildenv.2016.06.037

Bouclier, 2013, Real-time validation of mechanical models coupling PGD and constitutive relation error, Computational Mechanics, 52, 861, 10.1007/s00466-013-0850-y

Brouns, 2016, Dynamic building performance assessment using calibrated simulation, Energy and Buildings, 122, 160, 10.1016/j.enbuild.2016.04.015

Bui, 2000, Spatial localization of the error of constitutive law for the identification of deffects in elastic bodies, Arch. Mech., 52, 511

Chinesta, 2004, Encyclopedia of Computational Mechanics, chapter Model Order Reduction, John Wiley & Sons Ltd

Chinesta, 2011, A Short Review on Model Order Reduction Based on Proper Generalized Decomposition, Archives of Computational Methods in Engineering, 18, 395, 10.1007/s11831-011-9064-7

A. Chouaki, P. Ladevèze, and L. Proslier. An updating of structural dynamic model with damping. Inverse Problems in Engineering: Theory and Practice, pages 335–342, 1996.

De Simon, 2018, Quantifying uncertainty in thermophysical properties of walls by means of Bayesian inversion, Energy and Buildings, 177, 220, 10.1016/j.enbuild.2018.06.045

Y. Delerablée. Intégration thermique et mécanique des géostructures énergétiques : de l’échelle du bâtiment à l’échelle de la cité (in french). PhD thesis, Université Paris-Est, 2019.

Deraemaeker, 2002, Reduced bases for model updating in structural dynamics based on constitutive relation error, Computer Methods in Applied Mechanics and Engineering, 191, 2427, 10.1016/S0045-7825(01)00421-2

Djatouti, 2020, Coupling a goal-oriented inverse method and proper generalized decomposition for fast and robust prediction of quantities of interest in building thermal problems (accepted), Building Simulation, 10.1007/s12273-020-0603-8

Gagnon, 2018, Sensitivity analysis of energy performance and thermal comfort throughout building design process, Energy and Buildings, 164, 278, 10.1016/j.enbuild.2017.12.066

Heiselberg, 2007, Application of sensitivity analysis in design of sustainable buildings, SDBE

Hong, 1997, A new multizone model for the simulation of building thermal performance, Building and Environment, 32, 123, 10.1016/S0360-1323(96)00045-5

Kleiber, 1997

Ladevèze, 1999, Application of a posteriori error estimation for structural model updating, Inverse Problems, 15, 49, 10.1088/0266-5611/15/1/009

Ladevèze, 2006, Validation of structural dynamics models containing uncertainties, Computer Methods in Applied Mechanics and Engineering, 195, 373, 10.1016/j.cma.2004.10.011

Li, 2018, Stepwise calibration for residential building thermal performance model using hourly heat consumtpion data, Energy and Buildings, 181, 10, 10.1016/j.enbuild.2018.10.001

Lomas, 1992, Sensitivity analysis techniques for building thermal simulation programs, Energy and Buildings, 19, 21, 10.1016/0378-7788(92)90033-D

Mao, 2018, Optimization-aided calibration of an urban microclimate model under uncertainty, Building and Environment, 143, 390, 10.1016/j.buildenv.2018.07.034

Marchand, 2016, Real-time updating of structural mechanics models using Kalman filtering, modified constitutive relation error, and proper generalized decomposition, International Journal for Numerical Methods in Engineering, 107, 786, 10.1002/nme.5197

Marchand, 2019, Parameter identification and model updating in the context of non-linear mechanical behaviors using a unified formulation of the modified Constitutive Relation Error concept, Computer Methods in Applied Mechanics and Engineering, 345, 1094, 10.1016/j.cma.2018.09.008

Marshall, 2017, Domestic building fabric performance: closing the gap between the in situ measured and modelled performance, Energy and Buildings, 150, 307, 10.1016/j.enbuild.2017.06.028

Masson, 2000, A physically-based scheme for the urban energy budget in atmospheric models, Boundary-Layer Meteorology, 94, 357, 10.1023/A:1002463829265

Nassiopoulos, 2014

Nassiopoulos, 2014, Calibration of building thermal models using an optimal control approach, Energy and Buildings, 76, 81, 10.1016/j.enbuild.2014.02.052

Nguyen, 2008, A robust idenfication strategy for rate-dependent models in dynamics, Inverse Problems, 24, 10.1088/0266-5611/24/6/065006

Nouy, 2010, A priori model reduction through Proper Generalized Decomposition for solving time-dependent partial differential equations, Computer Methods in Applied Mechanics and Engineering, 199, 1603, 10.1016/j.cma.2010.01.009

Ogando, 2017, Energy modelling and automated calibrations of ancient building simulations: a case study of a school in the northwest of spain, Energies, 10, 807, 10.3390/en10060807

G. Rozza, N. Malik, H. and Demo, M. Tezzele, M. and Girfoglio, G. Stabile, and A. Mola. Advances in Reduced Order Methods for parameteric industrial problems in computational fluid dynamics. arXiv:1811.08319 [math.NA], 2018.

Saltelli, 2000, Sensitivty analysis as an ingredient of modeling, Statistical Science, 15, 377, 10.1214/ss/1009213004

Vaidya, 2012, Actuator and sensor placement in linear advection pde with building system application, Journal of Mathematical Analysis and Applications, 394, 213, 10.1016/j.jmaa.2012.03.046

Waeytens, 2016, Model updating techniques for damage detection in concrete beam using optical fiber strain measurement device, Engineering Structures, 129, 2, 10.1016/j.engstruct.2016.08.004

Westphal, 2005, Building simulation calibration using sensitivity analysis, page 8,

Yoganathan, 2018, Optimal sensor placement strategy for office buildings using clustering algorithms, Energy and Buildings, 158, 1206, 10.1016/j.enbuild.2017.10.074