K. A. Antonopoulos and E. P. Koronaki, Effect of indoor mass on the time constant and thermal delay of buildings, Int. J. Energy Res, vol.24, pp.391-402, 2000.

, CO;2-L ASHRAE Standard: Ventilation for Acceptable Indoor Air Quality, vol.24, 1989.

, American Society of Heating, Refrigerating and Air-Conditioning Engineers

A. Brun, C. Spitz, E. Wurtz, and L. Mora, Behavioral comparison of some predictive tools used in low-energy building, Building Simulation, 2009.

J. A. Clarke, Energy Simulation in Building Design, isbn, pp.978-978, 2001.

. Eigen, , 2018.

;. L. Fbsf, F. Kuzni, J. Hubert, M. Milliez, and J. Roux, Adaptation of building envelope models for energy simulation at district scale, 2018.

L. Giraud, R. Bavière, M. Vallée, and C. Paulus, Presentation, validation and application of the DistrictHeating Modelica library, International Modelica Conference. Presented at the 11th International Modelica Conference, p.11, 2015.

H. Johra and P. Heiselberg, Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: A review, Renew. Sustain. Energy Rev, vol.69, pp.19-32, 2017.

R. Judkoff, J. Neymark, F. Chambéry, J. Kensby, A. Trüschel et al., Potential of residential buildings as thermal energy storage in district heating systems -Results from a pilot test, Appl. Energy, vol.137, pp.773-781, 2013.


L. Dréau, J. Heiselberg, and P. , Energy flexibility of residential buildings using short term heat storage in the thermal mass, Energy, vol.111, pp.991-1002, 2016.


H. Lund, B. Möller, B. V. Mathiesen, and A. Dyrelund, The role of district heating in future renewable energy systems, Energy, vol.35, pp.1381-1390, 2010.


H. Lund, S. Werner, R. Wiltshire, S. Svendsen, J. E. Thorsen et al., , vol.68, pp.1-11, 2014.


P. Nageler, A. Kocj, F. Mauthner, L. Leusbrock, T. Mach et al., Comparison of dynamic urban building energy model (UBEM): sigmoid energy signature and physical modelling approach, Energy and buildings, vol.179, 2018.

T. Ommen, W. B. Markussen, and B. Elmegaard, Comparison of linear, mixed integer and non-linear programming methods in energy system dispatch modelling, Energy, vol.74, pp.109-118, 2014.


J. V. Paatero and P. D. Lund, A model for generating household electricity load profiles, Int. J. Energy Res, vol.30, pp.273-290, 2006.

N. Perez, P. Riederer, C. Ribault, M. Bouquerel, A. Brun et al., Assessing tools relevance for energy simulation at the urban scale: towards decisionsupport tools for urban design and densification, 2015.

I. Richardson, M. Thomson, and D. Infield, A highresolution domestic building occupancy model for energy demand simulations, Energy Build, vol.40, pp.1560-1566, 2008.

I. Richardson, M. Thomson, D. Infield, and C. Clifford, Domestic electricity use: A high-resolution energy demand model, Energy Build, vol.42, pp.1878-1887, 2010.


T. Schütz, L. Schiffer, H. Harb, M. Fuchs, and D. Müller, Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model, Appl. Energy, vol.185, pp.1-15, 2017.


H. Van-schijndel, R. Zmeureanu, and T. Stathopoulos, Simulation of air infiltration through revolving doors, Modeling of heat transfer in rooms in the Modelica Buildings Library, 2003.

J. Widén, M. Lundh, I. Vassileva, E. Dahlquist, K. Ellegård et al., Constructing load profiles for household electricity and hot water from time-use dataModelling approach and validation, Energy Build, vol.41, pp.753-768, 2009.

H. Wolisz, T. M. Kull, R. Streblow, and D. Müller, The effect of furniture and floor covering upon dynamic thermal building simulations. Presented at the Energy Procedia, pp.2154-2159, 2015.

R. Yao and K. Steemers, A method of formulating energy load profile for domestic buildings in the UK. Energy Build, vol.37, pp.663-671, 2005.

C. Zayane, Identification d'un modèle de comportement thermique de bâtiment à partir de sa courbe de charge, 2011.