KUZNIK Frédéric

Groupe Stockage (permanent)

Thème "Énergétique du bâtiment et des systèmes solaires"

Building physics for climate-resilient, low-carbon cities

Overview

My entire research programme is structured around the two pillars of the response to climate change defined by the IPCC: adaptation of buildings and cities to the climate change that is already locked in (IPCC Working Group II), and mitigation of CO₂ emissions from the building sector to limit further warming (IPCC Working Group III). The choice of urban buildings as the application domain is deliberate: cities concentrate 45 % of the world’s population today, two-thirds of population growth between now and 2050 will occur in urban areas (UN World Urbanization Prospects), and the operational and embodied emissions of buildings together account for nearly 40 % of global energy-related CO₂.
On the adaptation side, the relevant context is the combination of intensified heatwaves, urban heat island and ongoing urban densification, which together threaten thermal comfort, public health, and the resilience of the existing building stock. The objectives are to characterise this combined stress quantitatively and to evaluate green and grey cooling solutions — high-albedo surfaces, passive cooling, urban greenery, bioclimatic design — that can deliver meaningful cooling without locking in further emissions. On the mitigation side, the objective is to deeply reduce the operational and embodied carbon of buildings through bioclimatic and passive design, zero-energy / zero-carbon renovation of the existing stock, low-CO₂ materials, and the integration of renewable energy with thermal storage at multiple scales. Adaptation and mitigation are tightly coupled: a poorly adapted building drives mechanical cooling demand and emissions; an aggressively decarbonised system that ignores adaptation will not deliver comfort under future climates.
My research programme addresses this coupling explicitly along four complementary axes, which structure this document: (1) Energy in buildings — heating, cooling, energy-demand prediction and artificial intelligence; (2) Energy storage — thermochemical batteries, phase-change materials and integration of renewables; (3) Microclimate × Buildings — urban heat island, climate change and adaptation of buildings; and (4) Heat and mass transfer, comfort and heat stress. The four axes share a common methodological backbone — high-fidelity numerical modelling (CFD, Lattice Boltzmann, zonal/reduced-order models), rigorous full-scale or laboratory experiments, and increasingly data-driven techniques — applied consistently from the material scale up to the district and city scales.

1. Energy in Buildings — Heating, Cooling, Energy-Demand Prediction and Artificial Intelligence

A long-running line of research addresses the thermal and energy performance of building envelopes and HVAC systems under realistic operating conditions. Full-scale experiments and validated numerical models have characterised PCM-enhanced wallboards[11,12,17,20,55,66], multi-layer latent heat storage racks for buildings[22], ventilated double-skin façades[13,25], Trombe walls[39], and humidity-driven moisture phenomena on glazing[79]. These contributions provide design guidance for energy renovation and confirm measurable energy and comfort gains at the room and building scales[6,8,12,20,72].
On the active-side, studies have addressed PCM-to-air heat exchangers for ventilation and electricity peak-shaving[36,42,52], inter-seasonal storage sizing for low-energy houses[37], and reduced-order state-space models of vertical and horizontal geothermal heat exchangers — including series/parallel configurations relevant to ground-source heat-pump design[16,43,113]. Solar-driven systems for buildings have also been investigated, including parabolic-trough latent-heat storage for large-building hot water[84], hybrid solar-PVT wood dryers[90,91], and field-tested water-in-glass evacuated-tube collectors in West Africa[120].
At the district and city scales, a series of works has developed fast and accurate reduced-order and technologically explicit energy-demand models — including the modelling of heating and cooling demand of urban buildings at city scale[70], fast district heating/cooling load calculations based on state-space models[76], the MoDEM platform for modular district energy modelling[96], and occupant-centric prediction models calibrated on university campuses[99]. Most recently, the portfolio has been extended toward artificial intelligence and machine learning, with neural-network-based simulation of sorption thermal-storage reactors[93] and a comprehensive review of machine- and deep-learning techniques for building electrical energy consumption prediction[111]. This direction has been further developed through dedicated work on residential load forecasting, where the soft Dynamic Time Warping (soft-DTW) loss function has been compared with conventional MSE and MAE losses for neural-network-based next-day prediction at the individual-building level, with a novel confusion-matrix-based evaluation and dedicated peak-position and peak-load error metrics demonstrating the superiority of soft-DTW — alone or combined with MSE, MAE or a time-distortion index — for peak prediction in short-term load forecasting[105].

2. Energy Storage — Thermochemical Batteries, Phase-Change Materials and Integration of Renewables

Energy storage for buildings is one of the central research axes, addressed across two complementary technology families: latent (PCM) and thermochemical/sorption storage.
On phase-change materials (PCMs), contributions cover the entire chain from material characterisation — calorimetry interpretation[40,48], supercooling and enthalpy modelling[48,66], and quantification of natural-convection artefacts in DSC measurements[67] — through experimental wallboard, glass-block and full-scale wall investigations[11,12,15,20,24,65,72], to dedicated numerical models including TRNSYS types[17], enthalpy-based LBM-MRT formulations[33,41,50], and metamodel-based design tools[52,55]. Applications span PCM-to-air heat exchangers[36,42,52], PCM-enhanced solar panels[34], bio-based and microencapsulated PCMs in plasterboard, hollow bricks and foam concrete[103,106,110,119], and several state-of-the-art reviews[19,89,117] that consolidate two decades of progress for the community.
On thermochemical and sorption (sometimes called "thermochemical batteries") storage, the work covers material development and characterisation — MgSO₄–zeolite composites[23], zeolite 13X[59,74,80], ettringite / meta-ettringite materials[75,85–87], and salt hydrates (MgSO₄·6H₂O, lanthanum chloride heptahydrate)[51,68,82,95] — alongside thermal-conductivity measurement methodologies[56], reactor design and optimisation[64,87], and integration studies (cogeneration coupling[62], sensible/sorption bimodal storage for cooling towers[114]). System-level analyses include theoretical efficiency limits of chemisorption heat storage in buildings[81], sensitivity analyses of zeolite storage models[80], and a widely cited "reality check" review on the maturity of long-term thermochemical storage for households[88]. Three review papers consolidate the field: chemisorption heat storage in buildings[57], recent developments in physisorption thermal storage[73], and storage of thermal solar energy[69].
The integration of renewables is a recurring driver: PCM-coupled solar parabolic-trough systems[84], sorption-assisted solar dryers[92], PVT-driven wood dryers[90,91], evacuated-tube solar water heaters[120], and the design of high-power-density zeolite storage for solar combined heat-and-power use[59]. An ANN-based fast surrogate of sorption reactors[93] enables yearly-scale simulations that would otherwise be intractable, supporting the integration of these technologies into building and district energy systems.

3. Microclimate × Buildings — Urban Heat Island, Climate Change and Adaptation of Buildings

Building physics has been progressively coupled with urban microclimate science to address the question of how cities, climate change and the building stock interact. The Lattice Boltzmann Method, originally developed for indoor airflow, has been transposed to urban aeraulics of complex city configurations[46], and an adapted RANS-RSM wall-function has been derived for external building convection[63]. Generic urban morphology typologies have been proposed to make microscale airflow studies tractable[71], and the influence of local microclimate on building performance simulation has been quantified in a two-part study[77,78].
More recently, a coherent zonal/coupling framework for the block and street-canyon scale has been developed: a novel airflow zonal model for block-scale microclimate[108], its extension to heat-stress assessment coupled with building models[107], the directional quadrature evaluation for urban radiative transfer[100], an academic benchmark for qualifying microclimate simulation tools[109], and the MATHIS zonal urban climate model with a street-network approach[115]. Coupled with the district-scale energy-demand work[70,96,99], this provides a continuum from city climate to building energy demand.
The adaptation of buildings to changing climates is addressed through ventilated façade strategies[13,25], PCM envelopes evaluated in hot/Mediterranean and Algerian climates[72,103], and renewable-energy systems in West African contexts[120], complementing the modelling work with field evidence on how envelope and system design must evolve as climate shifts.

4. Heat and Mass Transfer, Comfort and Heat Stress

The methodological foundation of the entire research programme is the detailed study of heat and mass transfer in fluids and solids, combining experiments and high-fidelity numerical methods. Full-scale and laboratory experiments have characterised airflow and heat transfer in mechanically ventilated rooms[1–3,7,9,27,83], with the resulting datasets used as benchmarks for turbulence models (k-ε realizable, k-ω SST, RNG, RSM, large-eddy simulation)[3,7,9,38,63]. A long-running thread on the Lattice Boltzmann Method has produced double-population thermal LBM schemes[4,5], hybrid LBM–finite-difference and link-wise artificial-compressibility models[41,44,45,49,54,58,60], axis-symmetric formulations[53], multi-GPU and Xeon-Phi implementations within the TheLMA project[14,18,21,26,28–31,35,61], and recent large-eddy simulations of room airflow at unprecedented resolution[104].
Coupled heat-and-mass-transfer phenomena in buildings include natural convection in cavities and near PCM walls[24,33,38,65], melting with combined convection and radiation[33,41,50], moisture condensation on glazing[79], and high-resolution 3D building simulation applied to PCM-equipped passive solar rooms[98]. A cross-disciplinary extension applies the LBM toolbox to magnetohydrodynamic blood flow in stenotic and aneurysmal arteries[97,102,116], illustrating how the methods developed for buildings transfer to biomedical heat-and-mass transport.
On thermal comfort and heat stress, the work covers combined CFD–experimental assessment of comfort with cooling ceilings[10], optimisation of indoor environmental quality with room-based ventilation units[101], and a recent extension toward human-centred modelling: an individualizable thermophysiological model assessing thermal, hydric and cardiovascular strain[112], and a field-based study of perceived heat vulnerability among elderly women under more frequent heatwaves[118]. Combined with the block-scale heat-stress modelling[107], these contributions position the recent activity at the interface of building physics, urban climate and public-health adaptation.
Research Positioning
Across the four topics, the work consistently combines methodological innovation (numerical schemes, GPU computing, surrogate and ML modelling, multi-scale coupling) with strong experimental grounding (full-scale test rooms, calorimetry, reactor prototypes, field measurements). Six widely cited review articles[19,57,73,88,89,111,117] have helped structure their respective fields. The four research topics are highly inter-connected: the same numerical and experimental toolbox is used from the calorimeter sample, through PCM and thermochemical reactors, up to the block, district and city scales — and, most recently, all the way to the human body under heat stress.
 

References

[1] F. Kuznik, J. Brau (2005). Numerical and Experimental Investigation of a Mechanically Ventilated Room: The Impact of Inlet Boundary Conditions on CFD Modelling of the Ventilation System. International Journal of Ventilation, 4(2), 113-122. doi: 10.1080/14733315.2005.11683703
[2] F. Kuznik, G. Rusaouën, R. Hohotă (2006). Experimental and numerical study of a mechanically ventilated enclosure with thermal effects. Energy and Buildings, 38, 931-938. doi: 10.1016/j.enbuild.2005.08.016
[3] F. Kuznik, G. Rusaouën, J. Brau (2007). Experimental and numerical study of a full scale ventilated enclosure: Comparison of four two equations closure turbulence models. Building and Environment, 42, 1043-1053. doi: 10.1016/j.buildenv.2005.11.024
[4] F. Kuznik, J. Vareilles, G. Rusaouën, G. Krauss (2007). A double-population lattice Boltzmann method with non-uniform mesh for the simulation of natural convection in a square cavity. International Journal of Heat and Fluid Flow, 28, 862-870. doi: 10.1016/j.ijheatfluidflow.2006.10.002
[5] F. Kuznik, G. Rusaouën (2007). Numerical Prediction of Natural Convection Occurring in Building Components: A Double-Population Lattice Boltzmann Method. Numerical Heat Transfer Part A, 52(4), 315-335.
[6] F. Kuznik, J. Virgone, J.-J. Roux (2008). Energetic efficiency of room wall containing PCM wallboard: A full-scale experimental investigation. Energy and Buildings, 40, 148-156. doi: 10.1016/j.enbuild.2007.01.022
[7] F. Kuznik, G. Rusaouën, J. Brau (2007). Use of a RSM Turbulence Model for the Prediction of Velocity and Temperature Fields in a Mechanically Ventilated Room. International Journal of Ventilation, 6(2), 157-166. doi: 10.1080/14733315.2007.11683774
[8] F. Kuznik, J. Virgone, J. Noel (2008). Optimization of a phase change material wallboard for building use. Applied Thermal Engineering, 28, 1291-1298. doi: 10.1016/j.applthermaleng.2007.10.012
[9] F. Kuznik, G. Rusaouën, J. Brau (2008). A second order turbulence model for the prediction of air movement and heat transfer in a ventilated room. Building Simulation, 1, 72-82. doi: 10.1007/s12273-008-8308-4
[10] T. Catalina, J. Virgone, F. Kuznik (2009). Evaluation of thermal comfort using combined CFD and experimentation study in a test room equipped with a cooling ceiling. Building and Environment, 44, 1740-1750. doi: 10.1016/j.buildenv.2008.11.015
[11] F. Kuznik, J. Virgone (2009). Experimental investigation of wallboard containing phase change material: data for validation of numerical modeling. Energy and Buildings, 41, 561-570. doi: 10.1016/j.enbuild.2008.11.022
[12] F. Kuznik, J. Virgone (2009). Experimental assessment of a phase change material for wall building use. Applied Energy, 86, 2038-2046. doi: 10.1016/j.apenergy.2009.01.004
[13] V. Gavan, M. Woloszyn, F. Kuznik, J.-J. Roux (2010). Experimental study of a mechanically ventilated double-skin façade with venetian sun-shading device: A full-scale investigation in controlled environment. Solar Energy, 84, 183-195. doi: 10.1016/j.solener.2009.10.017
[14] F. Kuznik, C. Obrecht, G. Rusaouën, J.-J. Roux (2010). LBM based flow simulation using GPU computing processor. Computers and Mathematics with Applications, 59, 2380-2392. doi: 10.1016/j.camwa.2009.08.052
[15] F. Kuznik, T. Catalina, J. Virgone, K. Johannes (2010). Study on the melting and solidification in a glass block containing a phase change material. Mathematical Modeling in Civil Engineering, 3, 37.
[16] E.-J. Kim, J.-J. Roux, G. Rusaouën, F. Kuznik (2010). Numerical modelling of geothermal vertical heat exchangers for the short time analysis using the state model size reduction technique. Applied Thermal Engineering, 30, 706-714. doi: 10.1016/j.applthermaleng.2009.11.019
[17] F. Kuznik, J. Virgone, K. Johannes (2010). Development and validation of a new TRNSYS type for the simulation of external building walls containing PCM. Energy and Buildings, 42, 1004-1009. doi: 10.1016/j.enbuild.2010.01.012
[18] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2011). A new approach to the lattice Boltzmann method for graphics processing units. Computers and Mathematics with Applications, 61, 3628-3638. doi: 10.1016/j.camwa.2010.01.054
[19] F. Kuznik, D. David, K. Johannes, J.-J. Roux (2011). A review on phase change materials integrated in building walls. Renewable and Sustainable Energy Reviews, 15, 379-391. doi: 10.1016/j.rser.2010.08.019
[20] F. Kuznik, J. Virgone, K. Johannes (2011). In-situ study of thermal comfort enhancement in a renovated building equipped with phase change material wallboard. Renewable Energy, 36, 1458-1462. doi: 10.1016/j.renene.2010.11.008
[21] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2011). Global Memory Access Modelling for Efficient Implementation of the Lattice Boltzmann Method on Graphics Processing Units. Lecture Notes in Computer Science, 6449, 151-161.
[22] J. Borderon, J. Virgone, R. Cantin, F. Kuznik (2012). Full-scale study of a building equipped with a multi-layer rack latent heat thermal energy storage system. HVAC&R Research, 18(5), 865-883.
[23] S. Hongois, F. Kuznik, P. Stevens, J.-J. Roux (2011). Development and characterisation of a new MgSO4–zeolite composite for long-term thermal energy storage. Solar Energy Materials and Solar Cells, 95, 1831-1837. doi: 10.1016/j.solmat.2011.01.050
[24] D. David, F. Kuznik, J.-J. Roux (2011). Numerical study of the influence of the convective heat transfer on the dynamical behaviour of a phase change material wall. Applied Thermal Engineering, 31, 3117-3124. doi: 10.1016/j.applthermaleng.2011.05.040
[25] F. Kuznik, T. Catalina, L. Gauzere, M. Woloszyn, J.-J. Roux (2011). Numerical modelling of combined heat transfers in a double skin façade – Full-scale laboratory experiment validation. Applied Thermal Engineering, 31, 3043-3054. doi: 10.1016/j.applthermaleng.2011.05.038
[26] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2011). The TheLMA project: Multi-GPU Implementation of the Lattice Boltzmann Method. International Journal of High Performance Computing Applications, 25(3), 295-303. doi: 10.1177/1094342011414745
[27] F. Kuznik, G. Rusaouën, J. Brau (2011). Experimental Study of Turbulent Structures in a Non Isothermal Horizontal Jet Issuing from a Round Nozzle Distanced from a Wall. International Journal of Ventilation, 10(3), 277-290. doi: 10.1080/14733315.2011.11683955
[28] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2012). The TheLMA project: A thermal lattice Boltzmann solver for the GPU. Computers & Fluids, 54, 118-126. doi: 10.1016/j.compfluid.2011.10.011
[29] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2013). Multi-GPU implementation of the lattice Boltzmann method. Computers and Mathematics with Applications, 65, 252-261. doi: 10.1016/j.camwa.2011.02.020
[30] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2013). Multi-GPU implementation of a hybrid thermal lattice Boltzmann solver using the TheLMA framework. Computers & Fluids, 80, 269-275. doi: 10.1016/j.compfluid.2012.02.014
[31] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2013). Efficient GPU implementation of the linearly interpolated bounce-back boundary condition. Computers and Mathematics with Applications, 65, 936-944. doi: 10.1016/j.camwa.2012.05.014
[32] Y. Dutil, D. Rousse, S. Lassue, L. Zalewski, A. Joulin, J. Virgone, F. Kuznik, K. Johannes, J.-P. Dumas, J.-P. Bédécarrats, A. Castell, L.F. Cabeza (2014). Modeling phase change materials behavior in building applications: Comments on material characterization and model validation. Renewable Energy, 61, 132-135. doi: 10.1016/j.renene.2013.04.040
[33] J. Miranda Fuentes, K. Johannes, F. Kuznik, M. Cosnier, J. Virgone (2013). Melting with convection and radiation in a participating phase change material. Applied Energy, 109, 454-461. doi: 10.1016/j.apenergy.2012.10.030
[34] P.H. Biwole, P. Eclache, F. Kuznik (2013). Phase-change materials to improve solar panel's performance. Energy and Buildings, 62, 59-67. doi: 10.1016/j.enbuild.2013.02.059
[35] C. Obrecht, F. Kuznik, B. Tourancheau, J.-J. Roux (2013). Scalable lattice Boltzmann solvers for CUDA GPU clusters. Parallel Computing, 39, 259-270. doi: 10.1016/j.parco.2013.04.001
[36] J.P. Arzamendia Lopez, F. Kuznik, D. Baillis, J. Virgone (2013). Numerical modeling and experimental validation of a PCM to air heat exchanger. Energy and Buildings, 64, 415-422. doi: 10.1016/j.enbuild.2013.04.017
[37] D. Gondre, K. Johannes, F. Kuznik (2014). Specification requirements for inter-seasonal heat storage systems in a low energy residential house. Energy Conversion and Management, 77, 628-636. doi: 10.1016/j.enconman.2013.09.061
[38] C. Teodosiu, F. Kuznik, R. Teodosiu (2014). CFD modeling of buoyancy driven cavities with internal heat source — Application to heated rooms. Energy and Buildings, 68, 403-411. doi: 10.1016/j.enbuild.2013.09.041
[39] M. Bojić, K. Johannes, F. Kuznik (2014). Optimizing energy and environmental performance of passive Trombe wall. Energy and Buildings, 70, 279-286. doi: 10.1016/j.enbuild.2013.11.062
[40] J.-P. Dumas, S. Gibout, P. Cézac, E. Franquet, J.-P. Bédécarrats, F. Haillot, F. Kuznik, P. Tittelein, L. Zalewski, S. Lassue, K. Johannes (2014). Interpretation of calorimetry experiments to characterise phase change materials. International Journal of Thermal Sciences, 78, 48-55. doi: 10.1016/j.ijthermalsci.2013.11.014
[41] J. Miranda Fuentes, F. Kuznik, K. Johannes, J. Virgone (2014). Development and validation of a new LBM-MRT hybrid model with enthalpy formulation for melting with natural convection. Physics Letters A, 378, 374-381. doi: 10.1016/j.physleta.2013.11.040
[42] M. Labat, J. Virgone, D. David, F. Kuznik (2014). Experimental assessment of a PCM to air heat exchanger storage system for building ventilation application. Applied Thermal Engineering, 66, 375-382. doi: 10.1016/j.applthermaleng.2014.02.025
[43] E.-J. Kim, M. Bernier, O. Cauret, F. Kuznik (2014). Decomposition and coupling of soil domain for modeling vertical ground heat exchangers using the state model size reduction technique. Applied Thermal Engineering, 69, 155-164. doi: 10.1016/j.applthermaleng.2014.04.043
[44] S. Bettaibi, F. Kuznik, E. Sediki (2014). Hybrid lattice Boltzmann finite difference simulation of mixed convection flows in a lid-driven square cavity. Physics Letters A, 378, 2429-2435. doi: 10.1016/j.physleta.2014.06.032
[45] C. Obrecht, P. Asinari, F. Kuznik, J.-J. Roux (2014). High-performance implementations and large-scale validation of the link-wise artificial compressibility method. Journal of Computational Physics, 275, 143-153. doi: 10.1016/j.jcp.2014.06.052
[46] C. Obrecht, F. Kuznik, L. Merlier, J.-J. Roux, B. Tourancheau (2015). Towards aeraulic simulations at urban scale using the lattice Boltzmann method. Environmental Fluid Mechanics, 15, 753-770. doi: 10.1007/s10652-014-9381-0
[47] A. Bykalyuk, F. Kuznik, K. Johannes (2015). Studying the evolution of both thermal and kinetic boundary layers in the vicinity of a vertical conductive gypsum plate under dynamic time-depending conditions at the building scale. Energy and Buildings, 86, 898-908. doi: 10.1016/j.enbuild.2014.11.012
[48] P. Tittelein, S. Gibout, E. Franquet, K. Johannes, L. Zalewski, F. Kuznik, J.-P. Dumas, S. Lassue, J.-P. Bédécarrats, D. David (2015). Simulation of the thermal and energy behaviour of a composite material containing encapsulated-PCM: Influence of the thermodynamical modelling. Applied Energy, 140, 269-274. doi: 10.1016/j.apenergy.2014.11.055
[49] S. Bettaibi, F. Kuznik, E. Sediki (2015). Lattice Boltzmann Simulation of Mixed Convection Heat Transfer in a Driven Cavity with Non-uniform Heating of the Bottom Wall. Communications in Theoretical Physics, 63, 91-100.
[50] W. Gong, K. Johannes, F. Kuznik (2015). Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU. Communications in Computational Physics, 17(5), 1201-1224. doi: 10.4208/cicp.2014.m350
[51] A. Fopah Lele, F. Kuznik, H.U. Rammelberg, T. Schmidt, W.K.L. Ruck (2015). Thermal decomposition kinetic of salt hydrates for heat storage systems. Applied Energy, 154, 447-458. doi: 10.1016/j.apenergy.2015.02.011
[52] F. Kuznik, J.P. Arzamendia Lopez, D. Baillis, K. Johannes (2015). Design of a PCM to air heat exchanger using dimensionless analysis: Application to electricity peak shaving in buildings. Energy and Buildings, 106, 65-73. doi: 10.1016/j.enbuild.2015.03.046
[53] D. David, F. Kuznik, K. Johannes, L. Merlier (2015). Numerical analysis of truncation error, consistency, and axis boundary condition for axis-symmetric flow simulations via the radius weighted lattice Boltzmann model. Computers & Fluids, 116, 46-59. doi: 10.1016/j.compfluid.2015.04.013
[54] C. Obrecht, P. Asinari, F. Kuznik, J.-J. Roux (2016). Thermal link-wise artificial compressibility method: GPU implementation and validation of a double-population model. Computers and Mathematics with Applications, 72, 375-385. doi: 10.1016/j.camwa.2015.05.022
[55] F. Kuznik, J.P. Arzamendia Lopez, D. Baillis, K. Johannes (2015). Phase change material wall optimization for heating using metamodeling. Energy and Buildings, 106, 216-224. doi: 10.1016/j.enbuild.2015.06.029
[56] A. Fopah Lele, K. E. N'Tsoukpoe, T. Osterland, F. Kuznik, W.K.L. Ruck (2015). Thermal conductivity measurement of thermochemical storage materials. Applied Thermal Engineering, 89, 916-926. doi: 10.1016/j.applthermaleng.2015.06.077
[57] F. Kuznik, K. Johannes, C. Obrecht (2015). Chemisorption heat storage in buildings: State-of-the-art and outlook. Energy and Buildings, 106, 183-191. doi: 10.1016/j.enbuild.2015.07.002
[58] C. Obrecht, F. Kuznik (2015). Hybrid thermal link-wise artificial compressibility method. Physics Letters A, 379, 2224-2229. doi: 10.1016/j.physleta.2015.07.008
[59] K. Johannes, F. Kuznik, J.-L. Hubert, F. Durier, C. Obrecht (2015). Design and characterisation of a high powered energy dense zeolite thermal energy storage system for buildings. Applied Energy, 159, 80-86. doi: 10.1016/j.apenergy.2015.08.109
[60] S. Bettaibi, F. Kuznik, E. Sediki (2016). Hybrid LBM-MRT model coupled with finite difference method for double-diffusive mixed convection in rectangular enclosure with insulated moving lid. Physica A, 444, 311-326. doi: 10.1016/j.physa.2015.10.029
[61] C. Obrecht, B. Tourancheau, F. Kuznik (2015). Performance Evaluation of an OpenCL Implementation of the Lattice Boltzmann Method on the Intel Xeon Phi. Parallel Processing Letters, 25(3), 1541001.
[62] A. Fopah Lele, F. Kuznik, O. Opel, W.K.L. Ruck (2015). Performance analysis of a thermochemical based heat storage as an addition to cogeneration systems. Energy Conversion and Management, 106, 1327-1344. doi: 10.1016/j.enconman.2015.10.068
[63] L. Merlier, F. Kuznik, G. Rusaouën, S. Salat (2015). An adapted steady RANS RSM wall-function for building external convection. Building and Environment, 94, 654-664. doi: 10.1016/j.buildenv.2015.10.010
[64] A. Fopah Lele, F. Kuznik, T. Osterland, W.K.L. Ruck (2015). Thermal synthesis of a thermochemical heat storage with heat exchanger optimization. Applied Thermal Engineering, 101, 669-677. doi: 10.1016/j.applthermaleng.2015.12.103
[65] D. David, F. Kuznik, K. Johannes (2016). Experimental investigation of natural convection near a wall containing phase change material. International Journal of Thermal Sciences, 104, 281-291. doi: 10.1016/j.ijthermalsci.2016.01.011
[66] F. Kuznik, K. Johannes, E. Franquet, L. Zalewski, S. Gibout, P. Tittelein, J.-P. Dumas, D. David, J.-P. Bédécarrats, S. Lassue (2016). Impact of the enthalpy function on the simulation of a building with phase change material wall. Energy and Buildings, 126, 220-229. doi: 10.1016/j.enbuild.2016.05.046
[67] D. David, F. Kuznik, M. Roux, K. Johannes, J. Virgone (2017). Quantification of the natural convection perturbations on differential scanning calorimetry measurements of PCMs. Thermochimica Acta, 655, 145-154. doi: 10.1016/j.tca.2017.06.004
[68] L. Okhrimenko, L. Favergeon, K. Johannes, F. Kuznik, M. Pijolat (2017). Thermodynamic study of MgSO4–H2O system dehydration at low pressure in view of heat storage. Thermochimica Acta, 656, 135-143. doi: 10.1016/j.tca.2017.08.015
[69] B. Stutz, N. Le Pierres, F. Kuznik, K. Johannes, E. Palomo Del Barrio, J.-P. Bédécarrats, S. Gibout, P. Marty, L. Zalewski, J. Soto, N. Mazet, R. Olives, J.-J. Bezian, D. Pham Minh (2017). Storage of thermal solar energy. Comptes Rendus Physique, 18, 401-414. doi: 10.1016/j.crhy.2017.09.008
[70] L. Frayssinet, L. Merlier, F. Kuznik, J.-L. Hubert, M. Milliez, J.-J. Roux (2017). Modeling the heating and cooling energy demand of urban buildings at city scale. Renewable and Sustainable Energy Reviews, 81, 2318-2327. doi: 10.1016/j.rser.2017.06.040
[71] L. Merlier, F. Kuznik, M. Bouquerel, S. Salat (2018). Derivation of generic typologies for microscale urban airflow studies. Sustainable Cities and Society, 36, 71-80. doi: 10.1016/j.scs.2017.09.017
[72] A. Mourid, M. El Alami, F. Kuznik (2018). Experimental investigation on thermal behavior and reduction of energy consumption in a real scale building by using phase change materials on its envelope. Sustainable Cities and Society, 41, 35-43. doi: 10.1016/j.scs.2018.04.031
[73] F. Kuznik, J. Gondre, K. Johannes, C. Obrecht, D. David (2019). A review on recent developments in physisorption thermal energy storage for building applications. Renewable and Sustainable Energy Reviews, 94, 576-586. doi: 10.1016/j.rser.2018.06.038
[74] F. Kuznik, J. Gondre, K. Johannes, C. Obrecht, D. David (2019). Numerical modelling and investigations on a full-scale zeolite 13X open heat storage for buildings. Renewable Energy, 132, 761-772. doi: 10.1016/j.renene.2018.07.118
[75] B. Chen, F. Kuznik, M. Horgnies, K. Johannes, V. Morin, E. Gengembre (2019). Physicochemical properties of ettringite/meta-ettringite for thermal energy storage: Review. Solar Energy Materials and Solar Cells, 193, 320-334. doi: 10.1016/j.solmat.2018.12.013
[76] E.-J. Kim, L. Plessis, J.-L. Hubert, F. Kuznik, J.-J. Roux (2019). Fast and accurate district heating and cooling energy demand and load calculations using reduced-order modelling. Applied Energy, 238, 963-971. doi: 10.1016/j.apenergy.2019.01.183
[77] L. Merlier, L. Frayssinet, K. Johannes, F. Kuznik (2019). On the impact of local microclimate on building performance simulation. Part I: Prediction of building external conditions. Building Simulation, 12, 735-746. doi: 10.1007/s12273-019-0507-7
[78] L. Merlier, L. Frayssinet, K. Johannes, F. Kuznik (2019). On the impact of local microclimate on building performance simulation. Part II: Effect of external conditions on the dynamic thermal behavior of buildings. Building Simulation, 12, 747-757. doi: 10.1007/s12273-019-0508-6
[79] C.-K. Nguyen, M. Teisserenc, F. Kuznik, M. Woloszyn, F. Pinot, M. Bouquerel, T. Duforestel (2019). A full-scale experimental study concerning the moisture condensation on building glazing surface. Building and Environment, 156, 215-224. doi: 10.1016/j.buildenv.2019.04.024
[80] D. Gondre, K. Johannes, F. Kuznik (2020). Sensitivity analysis of a zeolite energy storage model: Impact of parameters on heat storage density and discharge power density. Renewable Energy, 149, 468-478. doi: 10.1016/j.renene.2019.12.035
[81] F. Kuznik, K. Johannes (2020). Thermodynamic Efficiency of Water Vapor/Solid Chemical Sorption Heat Storage for Buildings: Theoretical Limits and Integration Considerations. Applied Sciences, 10(2), 489. doi: 10.3390/app10020489
[82] L. Okhrimenko, L. Favergeon, K. Johannes, F. Kuznik (2020). New kinetic model of the dehydration reaction of magnesium sulfate hexahydrate: Application for heat storage. Thermochimica Acta, 687, 178569. doi: 10.1016/j.tca.2020.178569
[83] T. Gresse, L. Merlier, J.-J. Roux, F. Kuznik (2020). Detailed airflow dynamics and temperature data of axisymmetric and anisothermal jets developing in a room. Data in Brief, 29, 105382. doi: 10.1016/j.dib.2020.105382
[84] B. Lamrani, A. Khouya, F. Kuznik, A. Draoui (2020). Thermal performance of a coupled solar parabolic trough collector latent heat storage unit for solar water heating in large buildings. Renewable Energy, 162, 411-426. doi: 10.1016/j.renene.2020.08.038
[85] B. Chen, F. Kuznik, M. Horgnies, K. Johannes, V. Morin (2020). Comparative kinetics study on carbonation of ettringite and meta-ettringite based materials. Cement and Concrete Research, 137, 106209. doi: 10.1016/j.cemconres.2020.106209
[86] B. Chen, F. Kuznik, M. Horgnies, K. Johannes, V. Morin (2021). Investigation on ettringite as a low-cost high-density thermochemical heat storage material: Thermodynamics and kinetics. Solar Energy Materials and Solar Cells, 221, 110877. doi: 10.1016/j.solmat.2020.110877
[87] B. Chen, F. Kuznik, M. Horgnies, K. Johannes, V. Morin (2021). Characterization of an ettringite-based thermochemical energy storage material in an open-mode reactor. Journal of Energy Storage, 33, 102159. doi: 10.1016/j.est.2020.102159
[88] K.E. N'Tsoukpoe, F. Kuznik (2021). A reality check on long-term thermochemical heat storage for household applications. Renewable and Sustainable Energy Reviews, 139, 110683. doi: 10.1016/j.rser.2020.110683
[89] B. Lamrani, F. Kuznik, A. Draoui (2021). Phase change materials integrated into building walls: An updated review. Renewable and Sustainable Energy Reviews, 140, 110751. doi: 10.1016/j.rser.2021.110751
[90] B. Lamrani, F. Kuznik, A. Draoui (2021). Energy analysis and economic feasibility of wood dryers integrated with heat recovery unit and solar air heaters in cold and hot climates. Energy, 228, 120598. doi: 10.1016/j.energy.2021.120598
[91] B. Lamrani, F. Kuznik, B. Ajdad, A. Draoui (2021). Thermal performance and environmental assessment of a hybrid solar-electrical wood dryer integrated with Photovoltaic/Thermal air collector and heat recovery system. Solar Energy, 221, 60-74. doi: 10.1016/j.solener.2021.04.035
[92] R.A. Dake, R.M. N'Tsoukpoe, K.E. N'Tsoukpoe, Y. Coulibaly, F. Kuznik (2021). A review on the use of sorption materials in solar dryers. Renewable Energy, 175, 965-979. doi: 10.1016/j.renene.2021.05.071
[93] F. Scheffler, K. Johannes, F. Kuznik (2021). Artificial Neural Network Simulation of Energetic Performance for Sorption Thermal Energy Storage Reactors. Energies, 14(11), 3294. doi: 10.3390/en14113294
[94] S. Bettaibi, F. Kuznik, E. Sediki, M. Jellouli (2021). Numerical Study of Thermal Diffusion and Diffusion Thermo Effects in a Differentially Heated and Salted Driven Cavity Using MRT-Lattice Boltzmann Finite Difference Model. International Journal of Applied Mechanics, 13(4), 2150049. doi: 10.1142/S1758825121500496
[95] L. Okhrimenko, L. Favergeon, K. Johannes, F. Kuznik (2022). Thermodynamic equilibrium and kinetic study of lanthanum chloride heptahydrate dehydration for thermal energy storage. Journal of Energy Storage, 48, 103562. doi: 10.1016/j.est.2021.103562
[96] E.-J. Kim, F. Kuznik, J.-L. Hubert, J.-J. Roux (2022). Calculation of heating and cooling energy loads at the district scale: Development of MoDEM, a modular and technologically explicit platform. Sustainable Cities and Society, 83, 103901. doi: 10.1016/j.scs.2022.103901
[97] I. Cherkaoui, S. Bettaibi, A. Barkaoui, F. Kuznik (2022). Magnetohydrodynamic blood flow study in stenotic coronary artery using lattice Boltzmann method. Computer Methods and Programs in Biomedicine, 221, 106850. doi: 10.1016/j.cmpb.2022.106850
[98] T. Gresse, L. Merlier, J.-J. Roux, F. Kuznik (2022). Three-dimensional and high-resolution building energy simulation applied to phase change materials in a passive solar room. Energy and Buildings, 274, 112418. doi: 10.1016/j.enbuild.2022.112418
[99] S. Chen, X. Zhang, S. Yang, F. Kuznik, X. Li, Y. Tang (2023). Occupant-centric dynamic heating and cooling loads simplified prediction model for urban community at energy planning stage. Sustainable Cities and Society, 90, 104406. doi: 10.1016/j.scs.2023.104406
[100] F. Wang, M. Bouquerel, L. Merlier, F. Kuznik (2023). Evaluation of directional quadrature schemes for simulating urban radiative transfer using the discrete ordinate method. International Journal of Thermal Sciences, 190, 108291. doi: 10.1016/j.ijthermalsci.2023.108291
[101] V. Filis, K.M. Smith, J. Kolarik, F. Kuznik, L. Merlier (2023). The indoor environmental quality and energy savings potential of room ventilation units compared to exhaust-only ventilation systems in France. International Journal of Ventilation, 1-11. doi: 10.1080/14733315.2023.2198804
[102] I. Cherkaoui, S. Bettaibi, A. Barkaoui, F. Kuznik (2023). Toward a Mesoscopic Modeling Approach of Magnetohydrodynamic Blood Flow in Pathological Vessels: A Comprehensive Review. Annals of Biomedical Engineering, 51, 2415-2440. doi: 10.1007/s10439-023-03350-7
[103] Z. Guermat, A. Kaci, F. Kuznik, M. Khelladi (2024). Numerical investigation of the integration of new bio-based PCM in building envelopes during the summer in Algerian cities. Journal of Energy Storage, 79, 110111. doi: 10.1016/j.est.2023.110111
[104] T. Gresse, L. Merlier, J.-J. Roux, F. Kuznik (2024). Prediction of airflow and heat transfer in a mechanically ventilated room with Large-Eddy Simulations based on Lattice Boltzmann Method. Building and Environment, 253, 111316. doi: 10.1016/j.buildenv.2024.111316
[105] Y. Chen, C. Obrecht, F. Kuznik (2024). Enhancing peak prediction in residential load forecasting with soft dynamic time wrapping loss function. Integrated Computer-Aided Engineering.
[106] S. Dora, S. Mini, F. Kuznik, K. Johannes (2025). A novel PCM-based foam concrete for heat transfer in buildings — Experimental developments and simulation modelling. Journal of Energy Storage, 105, 114625. doi: 10.1016/j.est.2024.114625
[107] F. Barone, L. Merlier, M. Bouquerel, F. Kuznik (2025). Heat Stress assessment using an urban microclimate zonal model at the block scale coupled with building models. Sustainable Cities and Society, 118, 106009. doi: 10.1016/j.scs.2024.106009
[108] F. Barone, L. Merlier, M. Bouquerel, F. Kuznik (2024). A novel airflow zonal model for urban microclimate modelling at the block scale. Building and Environment, 266, 112024. doi: 10.1016/j.buildenv.2024.112024
[109] T. Gresse, L. Merlier, J. Hidalgo, F. Kuznik (2025). Qualification of microclimate models and simulation tools: An academic benchmark. Building and Environment, 278, 112913. doi: 10.1016/j.buildenv.2025.112913
[110] M.E. Brahimi, A. Kaci, F. Kuznik, Z. Guermat (2025). Investigation of the thermal efficiency of hollow bricks filled with bio-organic phase change material mixture. Journal of Energy Storage, 122, 116667. doi: 10.1016/j.est.2025.116667
[111] Y. Chen, F. Kuznik, M. Bouquerel, L. Merlier (2025). A review of machine learning techniques for building electrical energy consumption prediction. Energy and AI, 21, 100518. doi: 10.1016/j.egyai.2025.100518
[112] C. Sondaz, C. Harpet, F. Kuznik, L. Merlier (2025). Design and validation of an individualizable thermophysiological model to assess thermal, hydric and cardiovascular strain. Sustainable Cities and Society, 129, 106436. doi: 10.1016/j.scs.2025.106436
[113] K. Belhamideche, A. Kaci, F. Kuznik (2025). Thermal effectiveness of different types of shallow horizontal heat exchangers arranged in single loop, series or parallel configurations. Applied Thermal Engineering, 278, 127460. doi: 10.1016/j.applthermaleng.2025.127460
[114] A. Bruch, F. Kuznik, K. Johannes (2025). Development and multiscale characterization of sensible/sorption bimodal heat storage for cooling tower applications. Journal of Energy Storage, 134, 118056. doi: 10.1016/j.est.2025.118056
[115] J. Soriano, L. Merlier, F. Kuznik (2025). MATHIS: A zonal urban climate model with a street network approach. Building and Environment, 286, 113604. doi: 10.1016/j.buildenv.2025.113604
[116] I. Cherkaoui, S. Bettaibi, C. Obrecht, F. Kuznik (2025). Lattice Boltzmann Approach of Magnetohydrodynamics in an Artery with Combined Stenosis and Aneurysm. International Journal of Applied Mechanics, 17(11), 2550101. doi: 10.1142/S1758825125501017
[117] S. Dora, S. Mini, F. Kuznik, K. Johannes (2026). Phase change materials for buildings' thermal energy management: an overview. Thermal Science and Engineering Progress, 71, 104521. doi: 10.1016/j.tsep.2026.104521
[118] C. Sondaz, C. Harpet, F. Kuznik, L. Merlier (2026). Heat and Aging: Perceived Vulnerability and its Determinants for Elderly Women. Journal of Urban Health, in press. doi: 10.1007/s11524-026-01067-1
[119] S. Vijin, S. Mini, F. Kuznik, K. Johannes (2026). Performance assessment of plasterboard with flexural reinforcement incorporating a microencapsulated capric–lauric acid/expanded vermiculite phase change material. Journal of Building Engineering, 124, 116045. doi: 10.1016/j.jobe.2026.116045
[120] K.E. N'Tsoukpoe, C.S. Lekombo, M. Zorom, K.G.J. N'Tsoukpoe, F. Kuznik (2026). Field survey insights and performance assessment of water-in-glass evacuated tube solar water heaters in Burkina Faso. Scientific Reports, in press. doi: 10.1038/s41598-026-48447-w