Pub Date : 2023-03-31DOI: 10.1080/19401493.2023.2195838
L. Bottecchia, M. Dallapiccola, L. Kranzl, P. Zambelli
The need for high-resolution data is exponentially growing in the current energy transition. In this sense, geographic information system tools are crucial for a more precise evaluation of solar energy potentials in complex urban environments. Thus, this work aims to provide novel insights into the need for high-resolution data and understand when and where these are required. The work analyses the impact of the horizon height of the surrounding areas as well as the more distant obstacles in evaluating the solar potential in three given locations in Bolzano, Italy starting from a high-resolution digital surface model. It was found that the more complex the location is, the more a spatially explicit approach with high-resolution data is required to detect the impact of the surrounding buildings. More importantly, it substantially affects the hourly availability of solar energy, which is crucial when simulating and dimensioning integrated systems at the building level.
{"title":"Discussing the needs of high resolution data: their impact in evaluating solar potential considering the horizon height","authors":"L. Bottecchia, M. Dallapiccola, L. Kranzl, P. Zambelli","doi":"10.1080/19401493.2023.2195838","DOIUrl":"https://doi.org/10.1080/19401493.2023.2195838","url":null,"abstract":"The need for high-resolution data is exponentially growing in the current energy transition. In this sense, geographic information system tools are crucial for a more precise evaluation of solar energy potentials in complex urban environments. Thus, this work aims to provide novel insights into the need for high-resolution data and understand when and where these are required. The work analyses the impact of the horizon height of the surrounding areas as well as the more distant obstacles in evaluating the solar potential in three given locations in Bolzano, Italy starting from a high-resolution digital surface model. It was found that the more complex the location is, the more a spatially explicit approach with high-resolution data is required to detect the impact of the surrounding buildings. More importantly, it substantially affects the hourly availability of solar energy, which is crucial when simulating and dimensioning integrated systems at the building level.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"1 1","pages":"705 - 716"},"PeriodicalIF":2.5,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89692005","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 : 2023-03-27DOI: 10.1080/19401493.2023.2193559
Jinjun Ye, Zhengtao Ai, Yufan Chang
This study investigates the aerosol transmission in queuing and dining scenarios in canteens and explores the effectiveness of control measures. An improved Wells-Riley equation is adopted to calculate the infection risk. The dilution of exhaled aerosols is difficult in the crowded queuing scenario, where the replacement of queuing positions increases the cross-infection risk. The highest infection risk is 1.16% and 1.08% for the linear-queue and cross-queue condition, respectively. Shortening the queuing duration, increasing the separation distance, and wearing masks can considerably reduce the infection risk. In the dining scenario, the effect of increasing ACH is limited on reducing the local concentration. An exhaust vent installed close to the top of the partition can effectively remove the local high-concentration aerosols. Intermittent occupation of a seat can considerably reduce the transmission risk between the consecutive dinners taking that seat. These findings should contribute to improved control of infectious transmission in canteens.
{"title":"Aerosol transmission in queuing and dining scenarios in canteens and the effectiveness of control measures","authors":"Jinjun Ye, Zhengtao Ai, Yufan Chang","doi":"10.1080/19401493.2023.2193559","DOIUrl":"https://doi.org/10.1080/19401493.2023.2193559","url":null,"abstract":"This study investigates the aerosol transmission in queuing and dining scenarios in canteens and explores the effectiveness of control measures. An improved Wells-Riley equation is adopted to calculate the infection risk. The dilution of exhaled aerosols is difficult in the crowded queuing scenario, where the replacement of queuing positions increases the cross-infection risk. The highest infection risk is 1.16% and 1.08% for the linear-queue and cross-queue condition, respectively. Shortening the queuing duration, increasing the separation distance, and wearing masks can considerably reduce the infection risk. In the dining scenario, the effect of increasing ACH is limited on reducing the local concentration. An exhaust vent installed close to the top of the partition can effectively remove the local high-concentration aerosols. Intermittent occupation of a seat can considerably reduce the transmission risk between the consecutive dinners taking that seat. These findings should contribute to improved control of infectious transmission in canteens.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"99 1","pages":"660 - 679"},"PeriodicalIF":2.5,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86121789","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 : 2023-03-22DOI: 10.1080/19401493.2023.2191220
Sen Huang, Robert Lutes, Cary A. Faulkner, Draguna L. Vrabie, S. Katipamula, W. Zuo
This paper presents a simulation framework for evaluating building control strategies (BCSs), developed with VOLTTRON, an opensource platform that integrates data, devices, and systems for sensing and control applications, and is based on co-simulation interfaces. It realizes an integrated environment for both testing and deploying BCSs, thereby eliminating the need for having a dedicated implementation of BCS for testing. For the first time, this framework provides critical functionalities, including scalable communication management and time-drive simulation advance, i.e., advancing the simulation based on clock time. We applied this framework to evaluating two BCSs from ASHRAE Guideline 36-2008 and ASHRAE Standard 90.1-2019. The evaluation results show that those BCSs primarily benefit the heating operation by reducing gas usage but yield insignificant savings in electricity consumption. The results also emphasize the importance of tuning the parameters of the BCSs to achieve better performances.
{"title":"An open-source framework for simulation-based testing of buildings control strategies","authors":"Sen Huang, Robert Lutes, Cary A. Faulkner, Draguna L. Vrabie, S. Katipamula, W. Zuo","doi":"10.1080/19401493.2023.2191220","DOIUrl":"https://doi.org/10.1080/19401493.2023.2191220","url":null,"abstract":"This paper presents a simulation framework for evaluating building control strategies (BCSs), developed with VOLTTRON, an opensource platform that integrates data, devices, and systems for sensing and control applications, and is based on co-simulation interfaces. It realizes an integrated environment for both testing and deploying BCSs, thereby eliminating the need for having a dedicated implementation of BCS for testing. For the first time, this framework provides critical functionalities, including scalable communication management and time-drive simulation advance, i.e., advancing the simulation based on clock time. We applied this framework to evaluating two BCSs from ASHRAE Guideline 36-2008 and ASHRAE Standard 90.1-2019. The evaluation results show that those BCSs primarily benefit the heating operation by reducing gas usage but yield insignificant savings in electricity consumption. The results also emphasize the importance of tuning the parameters of the BCSs to achieve better performances.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"47 21 1","pages":"631 - 643"},"PeriodicalIF":2.5,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90038747","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 : 2023-03-22DOI: 10.1080/19401493.2023.2189303
K. Fong, C. K. Lee, M. Leung, Y. Sun, Guangya Zhu, Hyo Baek, X. J. Luo, Tim Ka, Kui Lo, Hetty Sin, Ying Leung
In a chiller plant, primary or critical sensors are used to control the system operation while secondary sensors are installed to monitor the performance/health of individual equipment. Current sensor fault detection and diagnosis (SFDD) approaches are not applicable to secondary sensors which usually are not involved in the system control. Consequently, a hybrid multiple sensor fault detection, diagnosis and reconstruction (HMSFDDR) algorithm for chiller plants was developed. Machine learning and pattern recognition were used to predict the primary sensor faults through the comparison of the weekly performance curves. With the primary sensor signals reconstructed, the secondary sensor faults were estimated based on mass and energy balance. By applying the algorithm with various logged plant data and comparison with site checking results, a maximum of 75% effectiveness could be achieved. The merits of the present approach were further justified through off-site sensor testing which reinforced the usefulness of proposed HMSFDDR algorithm.
{"title":"A hybrid multiple sensor fault detection, diagnosis and reconstruction algorithm for chiller plants","authors":"K. Fong, C. K. Lee, M. Leung, Y. Sun, Guangya Zhu, Hyo Baek, X. J. Luo, Tim Ka, Kui Lo, Hetty Sin, Ying Leung","doi":"10.1080/19401493.2023.2189303","DOIUrl":"https://doi.org/10.1080/19401493.2023.2189303","url":null,"abstract":"In a chiller plant, primary or critical sensors are used to control the system operation while secondary sensors are installed to monitor the performance/health of individual equipment. Current sensor fault detection and diagnosis (SFDD) approaches are not applicable to secondary sensors which usually are not involved in the system control. Consequently, a hybrid multiple sensor fault detection, diagnosis and reconstruction (HMSFDDR) algorithm for chiller plants was developed. Machine learning and pattern recognition were used to predict the primary sensor faults through the comparison of the weekly performance curves. With the primary sensor signals reconstructed, the secondary sensor faults were estimated based on mass and energy balance. By applying the algorithm with various logged plant data and comparison with site checking results, a maximum of 75% effectiveness could be achieved. The merits of the present approach were further justified through off-site sensor testing which reinforced the usefulness of proposed HMSFDDR algorithm.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"30 1","pages":"588 - 608"},"PeriodicalIF":2.5,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85904192","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 : 2023-03-19DOI: 10.1080/19401493.2023.2191338
Rebecca I. Pinto, I. Beausoleil-Morrison
A research facility with solar thermal collector system and a water-saturated, sand-based seasonal thermal energy storage (SSTES) is used to provide space heating and domestic hot water heating to homes in cold climates. A 3D finite difference model of the heat transfer in and around the SSTES is presented and validated with measured data. The SSTES has lost moisture over time, making its thermal properties difficult to estimate. Additionally, the experimental data shows the SSTES losing heat at twice the expected rate, potentially due to incorrect thermal parameters from the manufacturer and the SSTES insulation being damaged or degraded. The final numerical model was validated over a 163-day period where energy was being injected into and extracted from the SSTES. It was found that the seasonal performance of the SSTES could be predicted by a conduction-only heat transfer model, and this model is suitable to be included in BPS tools.
{"title":"Experimental validation of a numerical model for a sand-based seasonal thermal energy storage","authors":"Rebecca I. Pinto, I. Beausoleil-Morrison","doi":"10.1080/19401493.2023.2191338","DOIUrl":"https://doi.org/10.1080/19401493.2023.2191338","url":null,"abstract":"A research facility with solar thermal collector system and a water-saturated, sand-based seasonal thermal energy storage (SSTES) is used to provide space heating and domestic hot water heating to homes in cold climates. A 3D finite difference model of the heat transfer in and around the SSTES is presented and validated with measured data. The SSTES has lost moisture over time, making its thermal properties difficult to estimate. Additionally, the experimental data shows the SSTES losing heat at twice the expected rate, potentially due to incorrect thermal parameters from the manufacturer and the SSTES insulation being damaged or degraded. The final numerical model was validated over a 163-day period where energy was being injected into and extracted from the SSTES. It was found that the seasonal performance of the SSTES could be predicted by a conduction-only heat transfer model, and this model is suitable to be included in BPS tools.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"5 1","pages":"644 - 659"},"PeriodicalIF":2.5,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79918933","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 : 2023-03-15DOI: 10.1080/19401493.2023.2187463
R. Ward, Ruchi Choudary, Melanie Jans Singh, F. Roumpani, T. Lazauskas, May Yong, Nicholas Barlow, M. Hauru
A key component of a digital twin is the monitored data, communicated from the physical system to the virtual representation, for visualization and simulation. Yet little attention has been paid to the practicalities of working with live-streamed data. Strategies are required for providing continuous access and storage, for processing data of indeterminate quality, and for ensuring long-term sustainability of data communication systems. This paper describes design of the data communication infrastructure, 3D visualization and data interpretation tools, and model development and implementation, for an operational digital twin. Conclusions are drawn pertaining to the informativeness of streamed data, key for successful digital twin development and operation. The paper highlights the need for further research into techniques for ensuring data quality and forecasting efficacy. Digital twins operated commercially are rarely described in detail; the discussion provides a basis for future collaborative development of a consistent operational and interactive framework.
{"title":"The challenges of using live-streamed data in a predictive digital twin","authors":"R. Ward, Ruchi Choudary, Melanie Jans Singh, F. Roumpani, T. Lazauskas, May Yong, Nicholas Barlow, M. Hauru","doi":"10.1080/19401493.2023.2187463","DOIUrl":"https://doi.org/10.1080/19401493.2023.2187463","url":null,"abstract":"A key component of a digital twin is the monitored data, communicated from the physical system to the virtual representation, for visualization and simulation. Yet little attention has been paid to the practicalities of working with live-streamed data. Strategies are required for providing continuous access and storage, for processing data of indeterminate quality, and for ensuring long-term sustainability of data communication systems. This paper describes design of the data communication infrastructure, 3D visualization and data interpretation tools, and model development and implementation, for an operational digital twin. Conclusions are drawn pertaining to the informativeness of streamed data, key for successful digital twin development and operation. The paper highlights the need for further research into techniques for ensuring data quality and forecasting efficacy. Digital twins operated commercially are rarely described in detail; the discussion provides a basis for future collaborative development of a consistent operational and interactive framework.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"1 1","pages":"609 - 630"},"PeriodicalIF":2.5,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76388608","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 : 2023-03-09DOI: 10.1080/19401493.2023.2185684
Hyeong-Gon Jo, S. Choi, C. Park
Accurate prediction of indoor daylight illuminance is crucial for daylight-based lighting controls. However, determining the illuminance using physics-based simulation tools requires significant amounts of information, e.g. grid of sensors, sky model, 3D geometry of a target building and surroundings, etc. In this study, the authors suggest a daylight illuminance estimation method with minimal data of two reference sensors and two prior measurements. It is shown that the daylight coefficient and sky luminance distribution can be substituted by the illuminance of the reference points and illuminance of two or more target points at past times. The method was validated on a large open space with north-facing skylight windows and showed an 11.9% mean absolute percentage error. Additionally, a reference point selection method is presented. The proposed method is practical for daylight-based lighting control applications.
{"title":"Linear regression based indoor daylight illuminance estimation with simple measurements for daylight-linked lighting control","authors":"Hyeong-Gon Jo, S. Choi, C. Park","doi":"10.1080/19401493.2023.2185684","DOIUrl":"https://doi.org/10.1080/19401493.2023.2185684","url":null,"abstract":"Accurate prediction of indoor daylight illuminance is crucial for daylight-based lighting controls. However, determining the illuminance using physics-based simulation tools requires significant amounts of information, e.g. grid of sensors, sky model, 3D geometry of a target building and surroundings, etc. In this study, the authors suggest a daylight illuminance estimation method with minimal data of two reference sensors and two prior measurements. It is shown that the daylight coefficient and sky luminance distribution can be substituted by the illuminance of the reference points and illuminance of two or more target points at past times. The method was validated on a large open space with north-facing skylight windows and showed an 11.9% mean absolute percentage error. Additionally, a reference point selection method is presented. The proposed method is practical for daylight-based lighting control applications.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"7 1","pages":"574 - 587"},"PeriodicalIF":2.5,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88498872","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 : 2023-03-07DOI: 10.1080/19401493.2023.2185682
Nima Izadyar, W. Miller, B. Rismanchi, V. Garcia-Hansen, Soha Matour
Despite natural light, near-façade structures’ impact on Natural Ventilation (NV) performance, reducing cooling demand, is usually ignored by designers. This article aims to characterize interactions between balconies’ design features (i.e. depth, unit level, and wind incident) and near-façade buildings on single-sided NV performance in a case study, representing medium to high-rise apartments in dominant cooling climates, utilizing validated Computational Fluid Dynamics (CFD) simulations. Results show that nearby buildings, even small structures close to the façade, significantly impact windward flow regime and indoor air movements. Nearby blocks might result in less air entering, which could be moderated by designing deeper balconies. Perpendicular wind incidents to the balcony opening may enormously improve single-sided NV performance. In contrast, wind incidents within higher degrees from perpendicular strongly reduce NV performance. This study provides designers with a method to characterize balcony design features’ effects on NV performance in apartments and improve it concerning urban design.
{"title":"Balcony design and surrounding constructions effects on natural ventilation performance and thermal comfort using CFD simulation: a case study","authors":"Nima Izadyar, W. Miller, B. Rismanchi, V. Garcia-Hansen, Soha Matour","doi":"10.1080/19401493.2023.2185682","DOIUrl":"https://doi.org/10.1080/19401493.2023.2185682","url":null,"abstract":"Despite natural light, near-façade structures’ impact on Natural Ventilation (NV) performance, reducing cooling demand, is usually ignored by designers. This article aims to characterize interactions between balconies’ design features (i.e. depth, unit level, and wind incident) and near-façade buildings on single-sided NV performance in a case study, representing medium to high-rise apartments in dominant cooling climates, utilizing validated Computational Fluid Dynamics (CFD) simulations. Results show that nearby buildings, even small structures close to the façade, significantly impact windward flow regime and indoor air movements. Nearby blocks might result in less air entering, which could be moderated by designing deeper balconies. Perpendicular wind incidents to the balcony opening may enormously improve single-sided NV performance. In contrast, wind incidents within higher degrees from perpendicular strongly reduce NV performance. This study provides designers with a method to characterize balcony design features’ effects on NV performance in apartments and improve it concerning urban design.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"32 1","pages":"537 - 556"},"PeriodicalIF":2.5,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78579319","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 : 2023-03-06DOI: 10.1080/19401493.2023.2185683
H. Ding, Guoqing Yu, L. Gu, Daina Luo
Photovoltaic (PV) cells integrated with building roof skylights not only generate electricity but also influence the thermal performance of the roof. In this paper, the thermal mathematical model of a semi-transparent photovoltaic insulating glass unit (STPV-IGU) integrated with the roof is established and validated by experiments. Case studies are conducted by using the roof-integrated STPV-IGU in Shanghai, and an equivalent electrical method is used to evaluate the energy performance of roof-integrated skylight STPV-IGU. The equivalent electricity of heat-gain entering the room through STPV-IGU and total equivalent electricity of roof-integrated STPV-IGU is 16.6 kWh/m2 and 12.1 kWh/m2 in summer, respectively. The equivalent electricity of heat-gain entering the room through STPV-IGU and total equivalent electricity of roof-integrated STPV-IGU are −16.3 kWh/m2 and −4.0 kWh/m2 in winter, respectively. Compared with traditional insulating glass unit, the STPV-IGU can significantly reduce the heat-gains through glazing in summer, but increase indoor heat-loss in winter.
{"title":"Experiments and simulations on the energy performance of semi-transparent photovoltaic roof-integrated skylight glazing","authors":"H. Ding, Guoqing Yu, L. Gu, Daina Luo","doi":"10.1080/19401493.2023.2185683","DOIUrl":"https://doi.org/10.1080/19401493.2023.2185683","url":null,"abstract":"Photovoltaic (PV) cells integrated with building roof skylights not only generate electricity but also influence the thermal performance of the roof. In this paper, the thermal mathematical model of a semi-transparent photovoltaic insulating glass unit (STPV-IGU) integrated with the roof is established and validated by experiments. Case studies are conducted by using the roof-integrated STPV-IGU in Shanghai, and an equivalent electrical method is used to evaluate the energy performance of roof-integrated skylight STPV-IGU. The equivalent electricity of heat-gain entering the room through STPV-IGU and total equivalent electricity of roof-integrated STPV-IGU is 16.6 kWh/m2 and 12.1 kWh/m2 in summer, respectively. The equivalent electricity of heat-gain entering the room through STPV-IGU and total equivalent electricity of roof-integrated STPV-IGU are −16.3 kWh/m2 and −4.0 kWh/m2 in winter, respectively. Compared with traditional insulating glass unit, the STPV-IGU can significantly reduce the heat-gains through glazing in summer, but increase indoor heat-loss in winter.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"73 1","pages":"557 - 573"},"PeriodicalIF":2.5,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83365208","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 : 2023-03-01DOI: 10.1080/19401493.2023.2182363
Young Sub Kim, C. Park
This paper presents a real-time implementation of model predictive control (MPC) for HVAC systems in an ice-cream factory building. The target building consists of two large open spaces served by two HVAC systems. We developed four artificial neural network (ANN) models that predict the thermal states of the supply air and indoor air of the two thermal zones and prove to be accurate enough (MBE = 2.65, CVRMSE = 9.43). The control variables employed in this study are the number of operating chillers, frequency of supply-air fan inverter and outdoor-air intake ratio. The objective function minimizes total energy use, and a constraint was set to maintain average indoor air temperatures close to set points. Real-time MPC was implemented at a sampling time of 20 min from 3 August to 30 August 2021 and could save approximately 31.7% of electricity when compared to the existing simple rule-based control.
{"title":"Real-time predictive control of HVAC systems for factory building using lightweight data-driven model","authors":"Young Sub Kim, C. Park","doi":"10.1080/19401493.2023.2182363","DOIUrl":"https://doi.org/10.1080/19401493.2023.2182363","url":null,"abstract":"This paper presents a real-time implementation of model predictive control (MPC) for HVAC systems in an ice-cream factory building. The target building consists of two large open spaces served by two HVAC systems. We developed four artificial neural network (ANN) models that predict the thermal states of the supply air and indoor air of the two thermal zones and prove to be accurate enough (MBE = 2.65, CVRMSE = 9.43). The control variables employed in this study are the number of operating chillers, frequency of supply-air fan inverter and outdoor-air intake ratio. The objective function minimizes total energy use, and a constraint was set to maintain average indoor air temperatures close to set points. Real-time MPC was implemented at a sampling time of 20 min from 3 August to 30 August 2021 and could save approximately 31.7% of electricity when compared to the existing simple rule-based control.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"abs/1902.05877 1","pages":"507 - 525"},"PeriodicalIF":2.5,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76000105","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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