Pub Date : 2022-09-03DOI: 10.1080/19401493.2022.2063946
Günsu Merin Abbas, Ipek Gursel Dino
Infectious aerosol dispersion poses significant infection risks (i.e., COVID-19) in classrooms due to dense and long occupancy. Natural ventilation is an effective strategy to reduce airborne infection transmission. The building-related parameters, particularly openings, determine the natural ventilation effectiveness in reducing contaminant dispersion, necessitating an inquiry due to complex dispersion and airflow patterns. This paper investigates the correlation between window height, natural ventilation, and COVID-19 dispersion. A simulation pipeline involving a parametric 3D design environment, computational fluid dynamics (CFD), and energy simulations is developed and implemented on nine design scenarios representing different inlet-outlet heights of a free-running (no heating, cooling or mechanical ventilation) classroom. The inlet height and the inlet-outlet height difference have a considerable impact on indoor infection risk confirming that stack ventilation and the Bernoulli effect decrease indoor contaminant concentration. Proximity to openings does not ensure lower contamination levels. Proximity to the contaminant does not result in higher contamination levels.
{"title":"COVID-19 dispersion in naturally-ventilated classrooms: a study on inlet-outlet characteristics","authors":"Günsu Merin Abbas, Ipek Gursel Dino","doi":"10.1080/19401493.2022.2063946","DOIUrl":"https://doi.org/10.1080/19401493.2022.2063946","url":null,"abstract":"Infectious aerosol dispersion poses significant infection risks (i.e., COVID-19) in classrooms due to dense and long occupancy. Natural ventilation is an effective strategy to reduce airborne infection transmission. The building-related parameters, particularly openings, determine the natural ventilation effectiveness in reducing contaminant dispersion, necessitating an inquiry due to complex dispersion and airflow patterns. This paper investigates the correlation between window height, natural ventilation, and COVID-19 dispersion. A simulation pipeline involving a parametric 3D design environment, computational fluid dynamics (CFD), and energy simulations is developed and implemented on nine design scenarios representing different inlet-outlet heights of a free-running (no heating, cooling or mechanical ventilation) classroom. The inlet height and the inlet-outlet height difference have a considerable impact on indoor infection risk confirming that stack ventilation and the Bernoulli effect decrease indoor contaminant concentration. Proximity to openings does not ensure lower contamination levels. Proximity to the contaminant does not result in higher contamination levels.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84439048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-03DOI: 10.1080/19401493.2022.2038671
Atefeh Omidkhah Kharashtomi, M. Bemanian, M. Hafezi
Evacuation is a performance matter in buildings design, and this study provides a framework for assessing the performance of complex architectural layouts for emergency egress. First, a theoretical framework is inspired by advanced estimation methods and extended to a performance model with spatial and computational sub-models. The spatial sub-model abstracts the floorplan as a geometric network. The computational sub-model is consisted of: filtering parameters, routing algorithm, and bottleneck importance calculation. A criterion called ‘Bottleneck Importance (BI)’ is introduced and formulated, which shows the effect of obstruction in each position in route on the evacuation performance of the floor. The model is applied in a case study, and outputs made it possible to analyse the performance of exits in-floor evacuation, frequent positions in the evacuation route, the topological relationship with performance, especially at intersections, and the effect of blocking in egress corridors and cause of obstructions.
{"title":"A filtering-based methodology for assessing evacuation performance in layout of complex infrastructures","authors":"Atefeh Omidkhah Kharashtomi, M. Bemanian, M. Hafezi","doi":"10.1080/19401493.2022.2038671","DOIUrl":"https://doi.org/10.1080/19401493.2022.2038671","url":null,"abstract":"Evacuation is a performance matter in buildings design, and this study provides a framework for assessing the performance of complex architectural layouts for emergency egress. First, a theoretical framework is inspired by advanced estimation methods and extended to a performance model with spatial and computational sub-models. The spatial sub-model abstracts the floorplan as a geometric network. The computational sub-model is consisted of: filtering parameters, routing algorithm, and bottleneck importance calculation. A criterion called ‘Bottleneck Importance (BI)’ is introduced and formulated, which shows the effect of obstruction in each position in route on the evacuation performance of the floor. The model is applied in a case study, and outputs made it possible to analyse the performance of exits in-floor evacuation, frequent positions in the evacuation route, the topological relationship with performance, especially at intersections, and the effect of blocking in egress corridors and cause of obstructions.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78030842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-03DOI: 10.1080/19401493.2022.2078407
Yong Qiu, Guojun Li, Linyang Wei, Tai Zhang
The key to guarantee district heating (DH) network work normally is to improve its safety performance which requires us to know the feedback of DH network in time when an accident occurs. Therefore, a dynamic mathematical model of coupled thermo-hydraulic for anticipating the dynamics in DH systems is established in this work. The dynamic temperature of the DH network and time delay of the coupled thermohydraulic transmission are investigated when the accident (insulation layer falling off or water supply temperature sudden change) occurs. The effects of two accidents on the DH network are analyzed thoroughly. The results show that the proposed model is suitable for the numerical simulation of specific conditions of the DH network. This is helpful to obtain the data information of the DH network under accident conditions and promote the stable operation of DH network. This method can be combined with other techniques to further improve the performance.
{"title":"Dynamic thermal performance of district heating network under typical safety accidents","authors":"Yong Qiu, Guojun Li, Linyang Wei, Tai Zhang","doi":"10.1080/19401493.2022.2078407","DOIUrl":"https://doi.org/10.1080/19401493.2022.2078407","url":null,"abstract":"The key to guarantee district heating (DH) network work normally is to improve its safety performance which requires us to know the feedback of DH network in time when an accident occurs. Therefore, a dynamic mathematical model of coupled thermo-hydraulic for anticipating the dynamics in DH systems is established in this work. The dynamic temperature of the DH network and time delay of the coupled thermohydraulic transmission are investigated when the accident (insulation layer falling off or water supply temperature sudden change) occurs. The effects of two accidents on the DH network are analyzed thoroughly. The results show that the proposed model is suitable for the numerical simulation of specific conditions of the DH network. This is helpful to obtain the data information of the DH network under accident conditions and promote the stable operation of DH network. This method can be combined with other techniques to further improve the performance.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84583488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-03DOI: 10.1080/19401493.2022.2061050
M. Vellei, Elie Azar, Karol Bandurski, C. Berger, S. Carlucci, Bing Dong, Matteo Favero, A. Mahdavi, M. Schweiker
The number of occupancy and occupant behaviour models developed for building performance simulation (BPS) has steadily increased for the past four decades. However, their use is still limited in practice. This is partly due to the difficulty in understanding their utility and to the challenges related to their implementation into BPS. Both problems can be attributed to the lack of a framework for their description and communication. In this paper, we fill this gap by introducing a framework to document occupant models, that represents the state-of-the-art of available information on the topic. The framework consists of four blocks (description, development, evaluation, and implementation) and can also be regarded as a guideline to help researchers communicate their models transparently. Based on a systematic review, we verify to which degree existing academic papers on occupant models meet the framework, thus providing a self-critical assessment of the state-of-the-art of occupant models’ documentation.
{"title":"Documenting occupant models for building performance simulation: a state-of-the-art","authors":"M. Vellei, Elie Azar, Karol Bandurski, C. Berger, S. Carlucci, Bing Dong, Matteo Favero, A. Mahdavi, M. Schweiker","doi":"10.1080/19401493.2022.2061050","DOIUrl":"https://doi.org/10.1080/19401493.2022.2061050","url":null,"abstract":"The number of occupancy and occupant behaviour models developed for building performance simulation (BPS) has steadily increased for the past four decades. However, their use is still limited in practice. This is partly due to the difficulty in understanding their utility and to the challenges related to their implementation into BPS. Both problems can be attributed to the lack of a framework for their description and communication. In this paper, we fill this gap by introducing a framework to document occupant models, that represents the state-of-the-art of available information on the topic. The framework consists of four blocks (description, development, evaluation, and implementation) and can also be regarded as a guideline to help researchers communicate their models transparently. Based on a systematic review, we verify to which degree existing academic papers on occupant models meet the framework, thus providing a self-critical assessment of the state-of-the-art of occupant models’ documentation.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87074147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-03DOI: 10.1080/19401493.2022.2071466
Siqi He, Yonghong Yan, H. Cai
For improving the simulation accuracy of circadian lighting, a workflow was established to first calibrate the simulation model under electric lighting followed by validation with integrated daylighting and electric lighting. A case study was conducted in a daylit office, with the evident impact of varying lighting parameters (light level, intensity, SPD, reflectance) on the simulation accuracy. In the fully calibrated model, the simulated and field-measured SPDs are highly correlated (rSPD ≥ 0.9), providing the acceptable accuracy of the simulated melanopic/photopic(M/P) ratio with the error rate (MBErel) less than 4% and residual deviation (RMSErel) within 7%. The MBErel and RMSErel of corneal illuminance (EV), EML, and CS are within 10% and 20%, respectively. The ratio of data points with the residual rate (e) less than 20% is over 75% in the calibration and validation phases. Conclusively, the proposed procedure could help prepare for further analysis of circadian light exposure.
{"title":"Improving the accuracy of circadian lighting simulation with field measurement","authors":"Siqi He, Yonghong Yan, H. Cai","doi":"10.1080/19401493.2022.2071466","DOIUrl":"https://doi.org/10.1080/19401493.2022.2071466","url":null,"abstract":"For improving the simulation accuracy of circadian lighting, a workflow was established to first calibrate the simulation model under electric lighting followed by validation with integrated daylighting and electric lighting. A case study was conducted in a daylit office, with the evident impact of varying lighting parameters (light level, intensity, SPD, reflectance) on the simulation accuracy. In the fully calibrated model, the simulated and field-measured SPDs are highly correlated (rSPD ≥ 0.9), providing the acceptable accuracy of the simulated melanopic/photopic(M/P) ratio with the error rate (MBErel) less than 4% and residual deviation (RMSErel) within 7%. The MBErel and RMSErel of corneal illuminance (EV), EML, and CS are within 10% and 20%, respectively. The ratio of data points with the residual rate (e) less than 20% is over 75% in the calibration and validation phases. Conclusively, the proposed procedure could help prepare for further analysis of circadian light exposure.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87742287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-02DOI: 10.1080/19401493.2022.2106309
James Hey, Peer-Olaf Siebers, P. Nathanail, Ender Ozcan, D. Robinson
Modelling energy retrofit adoption in domestic urban building stocks is vital for policymakers aiming to reduce emissions. The use of surrogate models to evaluate building performance combined with optimization procedures can optimize small building stocks but are insufficient at the urban scale. Recent methods train neural networks using samples of near-optimal solutions further decreasing the computational cost of optimization. However, these models do not make definitive predictions of decision makers with given environmental preferences. To rectify this, we extend the method by assigning a carbon valuation to households to derive their optimal retrofit solutions. By including the carbon valuation when training the predictive model, we can analyze the impact of households' changing attitudes to emissions. To demonstrate this method we construct an agent-based model of Nottingham, finding that simulated government campaigns to boost environmentalism improve both the number of retrofits performed and the mean emissions reduction of each installation.
{"title":"Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations","authors":"James Hey, Peer-Olaf Siebers, P. Nathanail, Ender Ozcan, D. Robinson","doi":"10.1080/19401493.2022.2106309","DOIUrl":"https://doi.org/10.1080/19401493.2022.2106309","url":null,"abstract":"Modelling energy retrofit adoption in domestic urban building stocks is vital for policymakers aiming to reduce emissions. The use of surrogate models to evaluate building performance combined with optimization procedures can optimize small building stocks but are insufficient at the urban scale. Recent methods train neural networks using samples of near-optimal solutions further decreasing the computational cost of optimization. However, these models do not make definitive predictions of decision makers with given environmental preferences. To rectify this, we extend the method by assigning a carbon valuation to households to derive their optimal retrofit solutions. By including the carbon valuation when training the predictive model, we can analyze the impact of households' changing attitudes to emissions. To demonstrate this method we construct an agent-based model of Nottingham, finding that simulated government campaigns to boost environmentalism improve both the number of retrofits performed and the mean emissions reduction of each installation.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73918948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-02DOI: 10.1080/19401493.2022.2110287
Arash Pourghorban
ABSTRACT Enclosed airspaces (EAs) are a common component of different energy efficient technologies in building envelopes which have intrinsic adaptive behavior under various climatic conditions. The need for comprehensive accurate numerical models without restrictions for different applications still exists. Thus, for the first time, machine learning and regression-based techniques (Ordinary least squares Linear Regression (OLR), Support Vector Regression (SVR), Kernel Ridge Regression (KRR), k-Nearest Neighbors (kNN), r-Nearest Neighbors (rNN), and Artificial Neural Network (ANN)) were applied to develop precise models derived from the most credible experimental data with stochastic logic of testing and training in several runs. It was found that application of KRR, SVR, and ANN leads to the most desirable outcomes with highest R2 (0.97–0.99), and lowest errors, however OLR does not provide satisfactory results (R2 <0.6). Moreover, major deviations are observed for calculations by OLR, kNN, and rNN in horizontal EAs (thicknesses = 40mm) with downward heat flow direction.
{"title":"Data-driven numerical models for the prediction of the thermal resistance value of the Enclosed Airspaces (EAs) in building envelopes","authors":"Arash Pourghorban","doi":"10.1080/19401493.2022.2110287","DOIUrl":"https://doi.org/10.1080/19401493.2022.2110287","url":null,"abstract":"ABSTRACT Enclosed airspaces (EAs) are a common component of different energy efficient technologies in building envelopes which have intrinsic adaptive behavior under various climatic conditions. The need for comprehensive accurate numerical models without restrictions for different applications still exists. Thus, for the first time, machine learning and regression-based techniques (Ordinary least squares Linear Regression (OLR), Support Vector Regression (SVR), Kernel Ridge Regression (KRR), k-Nearest Neighbors (kNN), r-Nearest Neighbors (rNN), and Artificial Neural Network (ANN)) were applied to develop precise models derived from the most credible experimental data with stochastic logic of testing and training in several runs. It was found that application of KRR, SVR, and ANN leads to the most desirable outcomes with highest R2 (0.97–0.99), and lowest errors, however OLR does not provide satisfactory results (R2 <0.6). Moreover, major deviations are observed for calculations by OLR, kNN, and rNN in horizontal EAs (thicknesses = 40mm) with downward heat flow direction.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72922255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-02DOI: 10.1080/19401493.2022.2112758
Abdolvahhab Fetanat, Mohsen Tayebi, G. Shafipour, Mehran Moteraghi
The present study provides potentially interesting for researchers in the novel integrated method of the fuzzy set qualitative comparative analysis (fsQCA) and digital design methodology to apply in the field of energy and sustainability of socio-technical systems (STSs) used in the building energy management (BEM). The research sample is the air-conditioning system (ACS). The social and technical aspects of ACS are satisfaction and energy consumption. Ten sustainability criteria are applied to assess and monitor the fields of energy consumption and satisfaction with the aim of achieving sustainable consumption in the use of ACSs for BEM. This action can be carried out by nesting a circuit in a microprocessor and microcontroller for use in a building energy management system (BEMS). According to, the circuit obtained from the assessment of the study can be practically implemented and assembled in a BEMS as online. This work can define a sustainability-based BEMS.
{"title":"A novel integrated method of fsQCA and digital design for sustainability monitoring and assessment in building energy management systems: a case study","authors":"Abdolvahhab Fetanat, Mohsen Tayebi, G. Shafipour, Mehran Moteraghi","doi":"10.1080/19401493.2022.2112758","DOIUrl":"https://doi.org/10.1080/19401493.2022.2112758","url":null,"abstract":"The present study provides potentially interesting for researchers in the novel integrated method of the fuzzy set qualitative comparative analysis (fsQCA) and digital design methodology to apply in the field of energy and sustainability of socio-technical systems (STSs) used in the building energy management (BEM). The research sample is the air-conditioning system (ACS). The social and technical aspects of ACS are satisfaction and energy consumption. Ten sustainability criteria are applied to assess and monitor the fields of energy consumption and satisfaction with the aim of achieving sustainable consumption in the use of ACSs for BEM. This action can be carried out by nesting a circuit in a microprocessor and microcontroller for use in a building energy management system (BEMS). According to, the circuit obtained from the assessment of the study can be practically implemented and assembled in a BEMS as online. This work can define a sustainability-based BEMS.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74516841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-02DOI: 10.1080/19401493.2022.2110944
M. Elnabawi, E. Saber
Green and cool roofs retrofit technologies, aim to mitigate the urban heat island effect and cooling energy demands from buildings. This study reports on parametric energy modelling of energy saving loads and indoor air temperature, as well as microclimate modelling of outdoor air temperature. The work adds new knowledge by evaluating roof retrofit technologies at the building and neighbourhood scale, and the results should guide strategic decisions for building envelope retrofitting. The simulations respectively predicted a 10% and 7.5% reduction in the cooling load for cool and green roofs versus a conventional roof. In summer, the indoor air temperature was similar for these roofs, but in winter the cool roof's indoor air temperature was 0.5°C lower than the green. In the microclimate simulation, average roof surface temperatures were 31.5°C (cool) and 31.3°C (green), versus 40.2°C (conventional); the air temperature difference was −0.8°C (cool) and −0.6°C (green) against the conventional roof.
{"title":"A numerical study of cool and green roof strategies on indoor energy saving and outdoor cooling impact at pedestrian level in a hot arid climate","authors":"M. Elnabawi, E. Saber","doi":"10.1080/19401493.2022.2110944","DOIUrl":"https://doi.org/10.1080/19401493.2022.2110944","url":null,"abstract":"Green and cool roofs retrofit technologies, aim to mitigate the urban heat island effect and cooling energy demands from buildings. This study reports on parametric energy modelling of energy saving loads and indoor air temperature, as well as microclimate modelling of outdoor air temperature. The work adds new knowledge by evaluating roof retrofit technologies at the building and neighbourhood scale, and the results should guide strategic decisions for building envelope retrofitting. The simulations respectively predicted a 10% and 7.5% reduction in the cooling load for cool and green roofs versus a conventional roof. In summer, the indoor air temperature was similar for these roofs, but in winter the cool roof's indoor air temperature was 0.5°C lower than the green. In the microclimate simulation, average roof surface temperatures were 31.5°C (cool) and 31.3°C (green), versus 40.2°C (conventional); the air temperature difference was −0.8°C (cool) and −0.6°C (green) against the conventional roof.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81774065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-02DOI: 10.1080/19401493.2022.2111604
Bed Prakash Das, Kaushik Das Sharma, A. Chatterjee, J. Bera
An intelligent and efficient utilization of a heating, ventilation, and air conditioning system can be instrumental to reduce the building energy consumption, which in turn, is expected to reduce the green-house gases. The energy profiling requires modelling and estimation of the building environment with uncertainties. This paper proposes a strategy to estimate indoor thermal dynamics at multiple walls using a forgetting factor-based fading memory Kalman filter (FMKF) in presence of unknown inputs. This work also proposes a joint state estimation scheme based on FMKF which considers augmentation of the unknown heating energy inputs along with the thermal parameters of the thermodynamic model developed for indoor environment. The contribution of unknown inputs in the process of state estimation have been studied in the context of measuring node distribution. The proposed scheme has been implemented for multiple real-life thermal scenarios and results outperformed the conventional Kalman filter-based estimation scheme.
{"title":"Joint state estimation of indoor thermal dynamics with unknown inputs using augmented fading memory Kalman filter","authors":"Bed Prakash Das, Kaushik Das Sharma, A. Chatterjee, J. Bera","doi":"10.1080/19401493.2022.2111604","DOIUrl":"https://doi.org/10.1080/19401493.2022.2111604","url":null,"abstract":"An intelligent and efficient utilization of a heating, ventilation, and air conditioning system can be instrumental to reduce the building energy consumption, which in turn, is expected to reduce the green-house gases. The energy profiling requires modelling and estimation of the building environment with uncertainties. This paper proposes a strategy to estimate indoor thermal dynamics at multiple walls using a forgetting factor-based fading memory Kalman filter (FMKF) in presence of unknown inputs. This work also proposes a joint state estimation scheme based on FMKF which considers augmentation of the unknown heating energy inputs along with the thermal parameters of the thermodynamic model developed for indoor environment. The contribution of unknown inputs in the process of state estimation have been studied in the context of measuring node distribution. The proposed scheme has been implemented for multiple real-life thermal scenarios and results outperformed the conventional Kalman filter-based estimation scheme.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85623566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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