Multi-zone Model Research Articles

Bhjet: a public multizone, steady state jet + thermal corona spectral model

ABSTRACT Accreting black holes are sources of major interest in astronomy, particular those launching jets because of their ability to accelerate particles, and dramatically affect their surrounding environment up to very large distances. The spatial, energy, and time-scales at which a central active black hole radiates and impacts its environment depend on its mass. The implied scale-invariance of accretion/ejection physics between black hole systems of different central masses has been confirmed by several studies. Therefore, designing a self-consistent theoretical model that can describe such systems, regardless of their mass, is of crucial importance to tackle a variety of astrophysical sources. We present here a new and significantly improved version of a scale invariant, steady-state, multizone jet model, which we rename BHJet, resulting from the efforts of our group to advance the modelling of black hole systems. We summarize the model assumptions and basic equations, how they have evolved over time, and the additional features that we have recently introduced. These include additional input electron populations, the extension to cyclotron emission in near-relativistic regime, an improved multiple inverse-Compton scattering method, external photon seed fields typical of active galactic nucleus, and a magnetically dominated jet dynamical model as opposed to the pressure-driven jet configuration present in older versions. In this paper, we publicly release the code on GitHub and, in order to facilitate the user’s approach to its many possibilities, showcase a few applications as a tutorial.

Model-based predictive control of multi-zone commercial building with a lumped building modelling approach

This study investigates the applicability of a lumped building modeling approach to model-based predictive control (MPC) to alleviate the complex modeling process of the grey-box multi-zone building model. Based on experimental data, two building models were estimated in this study. The detailed model as a reference case and a lumped model were estimated with decentralized and conventional approaches, respectively. Then, simulations were performed with two boundary conditions, including the comfort bound and electricity cost structure. The performances of the MPC with the detailed and lumped models were analyzed compared to the feedback control. More savings was achieved with a larger comfort bound and more aggressive electricity cost structure. The savings potential of the proposed lumped model approach was not as high as that of the detailed model. However, the proposed method yields good control performance, whose savings was approximately 8.6% over that of feedback control. These results suggest that the proposed method can be used to facilitate MPC implementation in multi-zone building applications.

Design for energy flexibility in smart buildings through solar based and thermal storage systems: Modelling, simulation and control for the system optimization

The present study investigates the use and implementation of energy efficient measures and strategies for building applications, toward the Nearly Zero Energy Buildings target. Specifically, objective of the study is to implement building integrated photovoltaic thermal devices coupled with a phase change materials heat exchanger acting as an active thermal storage building component, with the aim to add flexibility to the building while still maintaining indoor comfort conditions. To show the potentials of the novel configuration proposed in this paper, a multi-zone grey-box model is developed and validated to capture the thermal dynamics of a building, and a control strategy applied to the whole system is developed for energy management purpose. The whole simulation model, including thermophysical properties of the building-system and the control features, is implemented in a MATLAB environment. To assess the model and application potentials toward the optimal design and operation of the proposed system for energy efficiency and flexibility goals, a suitable case study analysis is conducted. Thus, a sensitivity analysis, using an evolutionary algorithm, is performed by considering economic and energy objective functions which focuses on the reduction of the building energy demand, load variability and economic aspects. In this regard, the optimal design configuration is underlined in a way that the operation of the components can be maximized to provide flexibility to the building: in average working conditions one single layer of PCM can provide around 186.3 Wh/K per unit of temperature and width. A rule-based management strategy is proposed to prove the possibility to shift and shave the energy peaks during high energy request periods, demand response events. Finally, by considering an approximate economic calculation, the simple payback, taking into account only the positive effects on the winter management, is around 13.5 years.

Diffusion Characteristics of PM2.5 in Rural Dwelling under Different Daily Life Behavior: A Case Study in Rural Shenyang of China

The highest concentration of PM2.5 in cold rural dwellings of Northeast China is often generated by using mini stoves for cooking and heating, which can directly influence human health. As of yet, little is known about the impact of different daily life behavior on PM2.5 diffusion and residents’ exposure in rural dwellings. In this study, the characteristics of indoor PM2.5 variation and diffusion in rural dwellings was described by measuring some rural dwellings and establishing a multi-zone network model. The calculated results indicated that the relative errors between theoretical calculated results and experimental measured results are within 10%. PM2.5 diffusion in a rural dwelling can be predicted. Furthermore, the impacts of daily life behavior on PM2.5 diffusion and exposure assessment can be analyzed. Through discussion, heating behavior is the most important factor causing high concentrations of PM2.5 in each room, followed by cooking, smoking, and cleaning. Door opening time can lead to different interzonal airflows and PM2.5 diffusion rates. By reducing the inner door opening time to less than 1 min, PM2.5 could decrease to 300 μg/m3. Door closing behavior could decrease risk that PM2.5 diffuses to bedrooms by more than 50%, and exposure of residents in bedrooms could reduce to 100 (μg·h)/m3 effectively.

Prediction of heat release and NOx emissions for direct-injection diesel engines using an innovative zero-dimensional multi-phase combustion model

Most of the current zero-dimensional (0D) predictive combustion models for diesel engines are based on their simple artificial assumptions rather than actual diesel spray processes, resulting in poor prediction accuracy. Conventional multi-zone models have good prediction performance but a long CPU time. This paper presents an innovative mechanism-based 0D multi-phase combustion model for direct-injection diesel engines. This model was primarily developed to reduce the CPU time for the zero/one-dimensional (0D/1D) simulation of engine performance and improve the optimization efficiency. The main idea of the model was accurately partitioning the spray zone according to different combustion mechanisms based on the concentration field of diesel spray. A representation method of each combustion phase based on the information of concentration field and equivalent injection velocity was proposed. In particular, some special modeling efforts were made to describe the diffusion combustion phase entirely and concisely. Diffusion combustion in different concentration areas exhibited different mechanisms, and diffusion combustion after the end of injection showed a slower burn rate than that during the injection process. All the different conditions of diffusion combustion were considered in this model based on the proposed representation method. Moreover, the in-cylinder temperature was divided into two zones to evaluate the NOx emissions. Extensive experiments were performed using two different diesel engines. The influence of engine speed, injection timing, load, and injection pressure on the combustion process and NOx emissions were investigated. High prediction accuracy was confirmed over a wide operating range. The prediction accuracy of both the heat release rate and NOx emissions of the proposed model was found to be comparable to that of a conventional multi-zone packet model. Compared with the packet model, the proposed model could reduce more than 90% of the CPU time, which significantly improved the engine performance simulation and optimization efficiency.

The Polarized Emission of AGN at Millimeter Wavelengths as Seen by POLAMI

We review results from the POLAMI program, which monitors the polarization properties of 36 blazars at the IRAM 30 m telescope. We found that the variability of the degree of linear polarization is faster and of higher amplitude at 1 mm than at 3 mm and that the linear polarization is also more variable than the total flux. The linear polarization angle is highly variable in all sources with excursions > 180°; and for the case of the polarization angle, also the 1 mm variations appear to be faster than those at 3 mm. These results are fully compatible with recent multi-zone turbulent jet models, and they definitively rule out the popular single-zone models for blazars. They also further confirm that the short-wavelength (inner) emitting regions have better ordered magnetic fields than the long-wavelength ones (further downstream). Moreover, the POLAMI program has shown statistical evidence that, for most of the monitored sources, circular polarization emission is displayed the majority of the time. The circular polarization detection rate and the maximum degree of circular polarization found are comparable with previous surveys at much longer wavelengths, thus, opening a new window for circular polarization and jet composition studies in the mm range. The process generating circular polarization must not be strongly wavelength-dependent. The widespread presence of circular polarization in the POLAMI sample is likely due to Faraday conversion of the linearly polarized synchrotron radiation in the helical magnetic field of the jets. The peculiar behavior of circular polarization in 3C 66A, which we consider a hallmark of circular polarization generation by Faraday conversion in helical fields, is discussed.

Modeling and thermodynamic analysis of thermal performance in self-pressurized liquid hydrogen tanks

Liquid hydrogen (LH2) is one of the most economic methods for large-scaled utilization of hydrogen energy. However, safe operation and storage of LH2 relies on accurate prediction of the pressure rise and adequate investigation on thermal behaviors inside LH2 tank. In light of this, a modified thermal multi-zone model (TMZM) considering heat and mass transfer between vapor and liquid is developed in this paper. The model has a maximum relative error of 4.67% in predicting pressure rise against the experimental results from NASA. A thermodynamic analysis method is proposed to clarify the influences of key parameters including the temperature, compressibility factor and density of vapor, and working conditions including heat leakage and initial superheated degree on the pressurization rate. The results indicate that temperature of vapor in the ullage and vapor-liquid interfacial mass transfer rate are two main parameters determining the pressurization rate, and the effects of the two parameters are different between different stages. The distinction of stages depends on heat leakage and initial superheated degree. For the working condition with an initial filling rate of 50% and a heat leakage of 10 W, temperature of vapor is the parameter dominates pressurization rate during 96.8% of the whole self-pressurization process. Heat leakage also has a vital impact on the distinction of stages, when heat leakage increases to 80 W, the temperature of vapor dominating stage will reduce to 46.4%. Furthermore, pressurization rate is sensitive to initial superheated degree in the ullage. An increase of 4 K of the initial superheated degree leads to a 53.3% decrease of the pressurization rate. This study provides a useful method for the reliable design and quick optimization of high performance LH2 tanks.

Numerical analysis of injection and spray characteristics of diesel fuel and rapeseed oil in a diesel engine

Vegetable oil-based biofuels are promising carbon-neutral fuels to replace fossil fuels. The study focuses on a comparative analysis of injection and spray characteristics of DF and RO and the relationship between spray and emission formation. Steady nozzle flows were simulated in Ansys Fluent. Free sprays were modeled with 0D spray models, and the relationships between atomization parameters and TKE at the orifice exit were analyzed. Sprays of DF/RO blends in real combustion chamber conditions were simulated with a multi-zone spray model in DIESEL-RK. The influence of RO content on fuel atomization and fuel-air mixture formation were analyzed. Compared with DF, RO has lower injection velocity and TKE at the orifice exit. The empirical correlations of mean droplet diameters and spray angle with TKE were developed by using a complex TKE/ν 0.5 with correlation coefficients above 0.988. The increase of the RO content from 0 to 100% leads to a reduction in spray angle by 24% and an increase in spray tip penetration by 15.5%, SMD by 62.1%, and the mass fraction of fuel injected onto the combustion chamber walls from 17.1 to 42%. A correlation between NOx emissions and SMD was fitted with a correlation coefficient of 0.9968.

Sensitivity of modeled residential fine particulate matter exposure to select building and source characteristics: A case study using public data in Boston, MA

Many techniques for estimating exposure to airborne contaminants do not account for building characteristics that can magnify contaminant contributions from indoor and outdoor sources. Building characteristics that influence exposure can be challenging to obtain at scale, but some may be incorporated into exposure assessments using public datasets. We present a methodology for using public datasets to generate housing models for a test cohort, and examined sensitivity of predicted fine particulate matter (PM2.5) exposures to selected building and source characteristics. We used addresses of a cohort of children with asthma and public tax assessor's data to guide selection of floorplans of US residences from a public database. This in turn guided generation of coupled multi-zone models (CONTAM and EnergyPlus) that estimated indoor PM2.5 exposure profiles. To examine sensitivity to model parameters, we varied building floors and floorplan, heating, ventilating and air-conditioning (HVAC) type, room or floor-level model resolution, and indoor source strength and schedule (for hypothesized gas stove cooking and tobacco smoking). Occupant time-activity and ambient pollutant levels were held constant. Our address matching methodology identified two multi-family house templates and one single-family house template that had similar characteristics to 60 % of test addresses. Exposure to infiltrated ambient PM2.5 was similar across selected building characteristics, HVAC types, and model resolutions (holding all else equal). By comparison, exposures to indoor-sourced PM2.5 were higher in the two multi-family residences than the single family residence (e.g., for cooking PM2.5 exposure, by 26 % and 47 % respectively) and were sensitive to HVAC type and model resolution. We derived the influence of building characteristics and HVAC type on PM2.5 exposure indoors using public data sources and coupled multi-zone models. With the important inclusion of individualized resident behavior data, similar housing modeling can be used to incorporate exposure variability in health studies of the indoor residential environment.

Thermal modeling of the occupied multi-zone buildings taking into account the uncertainties of occupant behavior

In this paper, the interaction between residential apartments in the same building is considered by including the occupant behavior. The study is applied to three-floor residential building. First, a multi-zone building model was implemented and validated by comparison with thermal simulation tools. Deterministic study allows us to determine the worst case of energy highest consumption. The interior insulation thickness is then progressively increased to obtain its optimal value with respect to heat loss and equilibrated energy consumption between apartments. Finally, a random variation of family absence number and duration has been applied to evaluate their influence on energy demand considering heat interaction between apartments.

Probable cross-corridor transmission of SARS-CoV-2 due to cross airflows and its control

A COVID-19 outbreak occurred in May 2020 in a public housing building in Hong Kong – Luk Chuen House, located in Lek Yuen Estate. The horizontal cluster linked to the index case’ flat (flat 812) remains to be explained. Computational fluid dynamics simulations were conducted to obtain the wind-pressure coefficients of each external opening on the eighth floor of the building. The data were then used in a multi-zone airflow model to estimate the airflow rate and aerosol concentration in the flats and corridors on that floor. Apart from flat 812 and corridors, the virus-laden aerosol concentrations in flats 811, 813, 815, 817 and 819 (opposite to flat 812, across the corridor) were the highest on the eighth floor. When the doors of flats 813 and 817 were opened by 20%, the hourly-averaged aerosol concentrations in these two flats were at least four times as high as those in flats 811, 815 and 819 during the index case's home hours or the suspected exposure period of secondary cases. Thus, the flats across the corridor that were immediately downstream from flat 812 were at the highest exposure risk under a prevailing easterly wind, especially when their doors or windows that connected to the corridor were open. Given that the floorplan and dimension of Luk Chuen House are similar to those of many hotels, our findings provide a probable explanation for COVID-19 outbreaks in quarantine hotels. Positive pressure and sufficient ventilation in the corridor would help to minimise such cross-corridor infections.

Multizone model of a refused derived fuel gasification: A thermodynamic Semi-empirical approach

Substitution of fossil fuels by sustainable energy sources has raised attention worldwide. Refuse derived fuel (RDF), which is the combustible fraction of Municipal solid waste (MSW), is used as an alternative fuel through combustion route. The gasification of RDF is gaining importance due to the operational issues of RDF combustion. The multizone RDF gasification model is developed to predict syngas composition in the present study. A stoichiometric approach is followed for modelling the pyrolysis and combustion zone. The reduction zone is modelled as a cylindrical fixed bed reactor with a uniform cross-sectional area. The developed set of differential equations is solved using MATLAB to predict the syngas properties. The novelty lies in the fact that the model can predict the output of each zone satisfactorily since the model assumptions are more realistic and cater to the heterogeneous nature of RDF. The impact of Equivalence ratio (ER), moisture content and reduction zone length on the performance of the gasifier are evaluated. The optimum values of lower heating value (LHV), gas yield, cold gas efficiency (CGE) and carbon conversion efficiency (CCE) for three different RDF at optimum ER is determined. Notably, 90% of the conversion is achieved within 60% length of reduction zone for all three types of RDF at all ERs. Predicting syngas properties can pave the way for the process integration of RDF gasification-based syngas in various industrial applications.

Energy-saving potential of deeply retrofitting building enclosures of traditional courtyard houses – A case study in the Chinese Hot-Summer-Cold-Winter zone

It is increasingly believed that energy retrofits are a protection tool to preserve cultural heritage for future generations. However, few studies are available regarding the deep retrofits of traditional courtyard houses in the Chinese Hot-Summer-Cold-Winter zone, although the winter conditions in these buildings are very uncomfortable based on existing studies. Besides, few studies analyzed the actual energy performance of still-occupied traditional buildings in this region. Therefore, this study investigated the energy-saving potential of deeply retrofitting the building enclosures of a traditional courtyard house in Tongren in southern China. The investigation was based on calibrated hygrothermal simulation with WUFI®Plus applying the multi-zone airflow modeling. For the calibration, short-term monitoring (two weeks) was conducted in winter and measured the air temperature, relative humidity, and heating energy consumption. The calibration showed satisfactory results by assessing the Normalized-Mean-Bias-Error, the Coefficient of Variation of Root-Mean-Square Error, and the Coefficient of determination. In contrast, the application of Goodness of Fit shows poorer performance and requires further discussion for short monitoring periods. According to this study, improving the U-values of building envelopes to meet at least the current Chinese energy-efficiency standard can reduce more than 56% energy demand for heating and cooling, with an estimated payback time of 2.5 years for the material cost. With growing expectations of building occupants on indoor thermal comfort, the improvement of the energy performance of traditional buildings will become more critical for their long-term preservation and should be implemented in China's energy efficiency policies and initiatives in the future.

A new dynamic zOnal model with air-diffuser (DOMA) - Application to thermal comfort prediction

A new Dynamic zOnal Model with Air-diffuser (DOMA) was developed. Several case studies were investigated and tested to evaluate and validate this program using measurement data. This new model was integrated into a TRaNsient SYstems Simulation program library and coupled with the multi-zone thermal model. The DOMA/TRNSYS coupled model was then used to predict room temperature distribution over an entire day of a single-zone building. The results show that increasing the heating outputs of the electric floor system, for example, from 75 to 200 W/m2, would not effectively improve the indoor thermal comfort, since the thermostat will reach the set point first and then turn off the system before the room gets enough heat and reach a comfortable level. This indicates the importance of selecting an appropriate location and set point for the thermostat when using a floor heating system. This potential thermal comfort issue can only be identified through the two-node model with a dynamic zonal model rather than the conventional PMV model, which thus suggests that for optimizing indoor thermal comfort of a building equipped with a time-sensitive control strategy and/or HVAC system, the TSENS results obtained from the two-node model integrated with DOMA are more appropriate than PMVs.

Thermo-kinetic multi-zone modelling of low temperature combustion engines

Many researchers believe multi-zone (MZ), chemical kinetics–based models are proven, essential toolchains for development of low-temperature combustion (LTC) engines. However, such models are specific to the research groups that developed them and are not widely available on a commercial nor open-source basis. Consequently, their governing assumptions vary, resulting in differences in autonomy, accuracy and simulation speed, all of which affect their applicability. Knowledge of the models´ individual characteristics is scattered over the research groups´ publications, making it extremely difficult to see the bigger picture. This combination of disparities and dispersed information hinders the engine research community that wants to harness the capability of multi-zone modelling.This work aims to overcome these hurdles. It is a comprehensive review of over 120 works directly related to MZ modelling of LTC extended with an insight to primary sources covering individual submodels. It covers 16 distinctive modelling approaches, three different combustion concepts and over 60 different fuel/kinetic mechanism combination. Over 38 identified applications ranging from fundamental-level studies to control development. The work aims to provide sufficient detail of individual model design choices to facilitate creation of improved, more open multi-zone toolchains and inspire new applications. It also provides a high-level vision of how multi-zone models can evolve.The review identifies a state-of-the-art multi-zone model as an onion-skin model with 10–15 zones; phenomenological heat and mass transfer submodels with predictive in-cylinder turbulence; and semi-detailed reaction kinetics encapsulating 53-199 species. Together with submodels for heat loss, fuel injection and gas exchange, this modelling approach predicts in-cylinder pressure within cycle-to-cycle variation for a handful of combustion concepts, from homogeneous/premixed charge to reactivity-controlled compression ignition (HCCI, PCCI, RCCI). Single-core simulation time is around 30 minutes for implementations focused on accuracy: there are direct time-reduction strategies for control applications. Major tasks include a fast and predictive means to determine in-cylinder fuel stratification, and extending applicability and predictivity by coupling with commercial one-dimensional engine-modelling toolchains. There is also significant room for simulation speed-up by incorporating techniques such as tabulated chemistry and employing new solving algorithms that reduce cost of jacobian construction.

A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital

Respiratory infectious diseases have caused several pandemics and scarcity of medical resources. As a temporary hospital for infectious disease patients, the Fangcang shelter hospital requires effective air distribution. We developed the multi-zone SFIF (SFIFM) model by combing a natural ventilation multi-zone model (MIX: Multi-zone Infiltration and eXfiltration) and spatial flow impact factor (SFIF) model, which can calculate the contribution of other zones to the risk of infection in the target zone. Compared with the experimental data in the reference, the model can be used to characterize the influence between zones. A three-zone large building was used for the analysis of the relationship between ventilation rate and SFIFM. An existed Fangcang shelter hospital was evaluated and the layout was optimized with this model. The results showed that both mechanical and natural ventilation would influence SFIFM. By optimizing the layout, the weighted SFIFM on health care worker zone could be reduced by 0.022, and the infection risk could be reduced by 14.42%. This model could more clearly show the relationship between zones, ventilation rate, concentration, and infection risk. It could be applied to evaluate and optimize the location of infectious sources, susceptibles, mechanical ventilation, and purifiers under variable conditions. This model may be helpful in reducing the risk of infection in large space buildings and providing guidance for ensuring public health safety.

Multiwavelength radiation models for low-luminosity GRBs and the implications for UHECRs

ABSTRACT We study the prompt phase of low-luminosity gamma-ray bursts (ll-GRBs) as potential source of very-high-energy (VHE) gamma-rays and ultra-high-energy cosmic rays (UHECRs). Within the internal shock model, we choose parameters for the relativistic outflow such that our representative events have observed properties similar to GRBs 980425, 100316D, and 120714B, and self-consistently calculate the full spectral and temporal properties in a leptonic synchrotron self-Compton scenario. To investigate the conditions under which inverse Compton radiation may lead to a peak in the GeV–TeV range, we vary the fraction of internal energy supplying the magnetic field. Further, we determine the maximal energies achievable for UHECR nuclei and derive constraints on the baryonic loading/typical duration by comparing to the extragalactic gamma-ray background. We find that ll-GRBs are potential targets for multiwavelength studies and in reach for Imaging Atmospheric Cherenkov Telescopes (IACTs) and optical/UV instruments. For comparable sub-MeV emission and similar dynamical evolution of the outflow, weak (strong) magnetic fields induce high (low) fluxes in the VHE regime and low (high) fluxes in the optical. VHE emission may be suppressed by γγ-absorption close to the engine or interactions with the extragalactic background light for redshifts z > 0.1. For UHECRs, the maximal energies of iron nuclei (protons) can be as high as ≃1011 GeV (1010 GeV) if the magnetic energy density is large (and the VHE component is correspondingly weak). These high energies are possible by decoupling the production regions of UHECR and gamma-rays in our multizone model. Finally, we find basic consistency with the energy budget needed to accommodate the UHECR origin from ll-GRBs.

A comprehensive simulation of catalytic coal gasification in a pressurized jetting fluidized bed

A steady-state multi-zone empirical model for catalytic coal gasification in a pressurized jetting fluidized bed was developed, which took account of pressurized hydrodynamics, mass and heat transfers and catalytic reaction kinetics. The effects of combustion product distribution coefficient and steam gasification product distribution coefficient on hydrodynamic parameters, particle temperature, gas temperature and compositions were conducted to find the suitable ones. The calculated bed temperature and gas compositions showed good agreement with experimental results. The hydrodynamics behaviors and gas compositions in different zones were analyzed in detail. The effects of control parameters on catalytic reactions were further conducted. Results showed that the most important factors for methanation were particle size, bed height and catalyst loading. The effects of particle size and steam flow rate on steam gasification reaction and water gas shift reaction were also obviously. The model would provide basically information to support design and scale-up of catalytic coal gasification.

Evaluation of simplified building energy models for urban-scale energy analysis of buildings

Simplification of building energy models is one of the most common approaches for efficiently estimating the energy performance of buildings over a whole city. In city-scale models, the abstraction of a building into an information model and the division of the model into representative thermal zones cannot be building-specific but must be generic and applicable to many buildings. Considering the limited research on the performance of such methods, in this study, a comprehensive evaluation of the most relevant assumptions on zoning configurations and levels of detail is conducted in three building energy simulation tools IDA ICE, TRNSYS, and EnergyPlus. The findings from the evaluation of zoning configuration on building level and its comparison with the measured energy performance of buildings suggest that a single-zone model of a residential building gives a very similar result to a multi-zone model with one core zone and perimeter zones for every floor of the building. For the single-zone model, IDA ICE overestimates and EnergyPlus underestimates the energy demand compared to the more complex models by approximately the same amount, but EnergyPlus is preferred due to the shorter simulation time. It is also proven that higher levels of detail in building models can increase the accuracy of the results by approximately 6% annually. When extending the scope of the study from building level to district level analysis where a somewhat lesser degree of accuracy can be allowed on the individual building, the simplified models give acceptable results.

Reconstruction of uncertain parameters in a multizone model based on contam and bayesian inference

The prediction of contaminant distribution in multi-zone environment is critical for ensuring indoor personnel health and making an optimistic ventilation strategy. However, the input of uncertainty parameters (flow coefficients, flow exponents, etc.) has a significant impact on the predicted pollutant concentrations. In this study, we proposed a reconstruction method to achieve parameter estimation for the multi-zone model. MATLAB codes was programmed to call CONTAM engine to accomplish pollutant transport simulation in a multi-zone scaled building model. Then a Bayesian inference algorithm compiled in MATLAB codes was applied to determine the unknown parameters iteratively. Finally, multi-zone scaled experiments with different forms of pollutant sources were employed to validate the reconstruction method. The results showed that the predicted concentrations with the reconstructed parameters agreed well with the measured data in the constant source (CS) experiment. While, for the dynamic source (DS) experiment, the predicted concentrations had some discrepancies with the measured data.