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Numerical modeling of all-day albedo variation for bifacial PV systems on rooftops and annual yield prediction in Beijing Build. Simul. (IF 5.5) Pub Date : 2024-03-25 Xiaoxiao Su, Chenglong Luo, Xinzhu Chen, Jie Ji, Yanshun Yu, Yuandan Wu, Wu Zou
Bifacial PV modules capture solar radiation from both sides, enhancing power generation by utilizing reflected sunlight. However, there are difficulties in obtaining ground albedo data due to its dynamic variations. To address this issue, this study established an experimental testing system on a rooftop and developed a model to analyze dynamic albedo variations, utilizing specific data from the environment
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Extraction method of typical IEQ spatial distributions based on low-rank sparse representation and multi-step clustering Build. Simul. (IF 5.5) Pub Date : 2024-03-18 Yuren Yang, Yang Geng, Hao Tang, Mufeng Yuan, Juan Yu, Borong Lin
Indoor environment quality (IEQ) is one of the most concerned building performances during the operation stage. The non-uniform spatial distribution of various IEQ parameters in large-scale public buildings has been demonstrated to be an essential factor affecting occupant comfort and building energy consumption. Currently, IEQ sensors have been widely employed in buildings to monitor thermal, visual
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Predicting the clothing insulation through machine learning algorithms: A comparative analysis and a practical approach Build. Simul. (IF 5.5) Pub Date : 2024-03-16
Abstract Since indoor clothing insulation is a key element in thermal comfort models, the aim of the present study is proposing an approach for predicting it, which could assist the occupants of a building in terms of recommendations regarding their ensemble. For that, a systematic analysis of input variables is exposed, and 13 regression and 12 classification machine learning algorithms were developed
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Investigation of acoustic attributes based on preference and perceptional acoustics of Korean traditional halls for optimal design solutions Build. Simul. (IF 5.5) Pub Date : 2024-03-15 Beta Bayu Santika, Haram Lee, Jin Yong Jeon
Immersed in the rich tapestry of traditional culture, Gugak, the traditional Korean music stands as a captivating embodiment of artistic expression. This study embarked on a comprehensive evaluation of a Gugak hall, employing acoustic measurements, computer simulations, and subjective perception surveys. The evaluation focused on the reverberance, clarity, spatial impression, and preference, unravelling
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Climate change induced heat stress impact on workplace productivity in a net zero-carbon timber building towards the end of the century Build. Simul. (IF 5.5) Pub Date : 2024-03-13 Deepak Amaripadath, Mattheos Santamouris, Shady Attia
Changing climate intensifies heat stress, resulting in a greater risk of workplace productivity decline in timber office buildings with low internal thermal mass. The impact of climate change induced heat exposure on indoor workplace productivity in timber office buildings has not been extensively researched. Therefore, further investigation to reduce the work capacity decline towards the end of the
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Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook Build. Simul. (IF 5.5) Pub Date : 2024-03-11 Nilabhra Mondal, Prashant Anand, Ansar Khan, Chirag Deb, David Cheong, Chandra Sekhar, Dev Niyogi, Mattheos Santamouris
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Evaluating different levels of information on the calibration of building energy simulation models Build. Simul. (IF 5.5) Pub Date : 2024-02-24 Siyu Cheng, Zeynep Duygu Tekler, Hongyuan Jia, Wenxin Li, Adrian Chong
A poorly calibrated model undermines confidence in the effectiveness of building energy simulation, impeding the widespread application of advanced energy conservation measures (ECMs). Striking a balance between information-gathering efforts and achieving sufficient model credibility is crucial but often obscured by ambiguities. To address this gap, we model and calibrate a test bed with different
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The use of green infrastructure and irrigation in the mitigation of urban heat in a desert city Build. Simul. (IF 5.5) Pub Date : 2024-02-24 Kai Gao, Shamila Haddad, Riccardo Paolini, Jie Feng, Muzahim Altheeb, Abdulrahman Al Mogirah, Abdullatif Bin Moammar, Mattheos Santamouris
Severe urban heat, a prevalent climate change consequence, endangers city residents globally. Vegetation-based mitigation strategies are commonly employed to address this issue. However, the Middle East and North Africa are under investigated in terms of heat mitigation, despite being one of the regions most vulnerable to climate change. This study assesses the feasibility and climatic implications
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Utilizing interpretable stacking ensemble learning and NSGA-III for the prediction and optimisation of building photo-thermal environment and energy consumption Build. Simul. (IF 5.5) Pub Date : 2024-02-23 Yeqin Shen, Yubing Hu, Kai Cheng, Hainan Yan, Kaixiang Cai, Jianye Hua, Xuemin Fei, Qinyu Wang
This study develops an approach consisting of a stacking model integrated with a multi-objective optimisation algorithm aimed at predicting and optimising the ecological performance of buildings. The integrated model consists of five base models and a meta-model, which significantly improves the prediction performance. Specifically, the R2 value was improved by 9.19% and the error metrics MAE, MSE
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An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems Build. Simul. (IF 5.5) Pub Date : 2024-02-20 Davide Coraci, Silvio Brandi, Tianzhen Hong, Alfonso Capozzoli
Deep Reinforcement Learning (DRL)-based control shows enhanced performance in the management of integrated energy systems when compared with Rule-Based Controllers (RBCs), but it still lacks scalability and generalisation due to the necessity of using tailored models for the training process. Transfer Learning (TL) is a potential solution to address this limitation. However, existing TL applications
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The recirculation flow after different cross-section shaped high-rise buildings with applications to ventilation assessment and drag parameterization Build. Simul. (IF 5.5) Pub Date : 2024-02-20 Keyi Chen, Ziwei Mo, Jian Hang
The building cross-section shape significantly affects the flow characteristics around buildings, especially the recirculation region behind the high-rise building. Eight generic building shapes including square, triangle, octagon, T-shaped, cross-shaped, #-shaped, H-shaped and L-shaped are examined to elucidate their effects on the flow patterns, recirculation length L and areas A using computational
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Experimental study on the CO2 concentration and age of air distribution inside tiny sleeping spaces Build. Simul. (IF 5.5) Pub Date : 2024-02-19 Jingying Zhang, Yanyan Li, Haiguo Yin, Linfeng Liang, Songmei Zu, Le Gao, Ying Zhang, Angui Li
In recent years, rapid urban development has led to capsule hotels, sleep pods, and other tiny sleeping spaces that adapt to people’s fast-paced lives, achieving maximum functionality with a very small footprint. However, due to the small space, human metabolic pollutant (such as CO2) is more likely to accumulate, and the air is not easily circulated. In this paper, a full-size experimental platform
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Potential application of radiant floor cooling systems for residential buildings in different climate zones Build. Simul. (IF 5.5) Pub Date : 2024-02-12 Mengying Cui, Yang Song, Yudong Mao, Kaimin Yang, Jiying Liu, Zhe Tian
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Seasonal thermal energy storage using natural structures: GIS-based potential assessment for northern China Build. Simul. (IF 5.5) Pub Date : 2024-02-12
Abstract Seasonal thermal energy storage (STES) allows storing heat for long-term and thus promotes the shifting of waste heat resources from summer to winter to decarbonize the district heating (DH) systems. Despite being a promising solution for sustainable energy system, large-scale STES for urban regions is lacking due to the relatively high initial investment and extensive land use. To close the
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Identification of rural courtyards’ utilization status using deep learning and machine learning methods on unmanned aerial vehicle images in north China Build. Simul. (IF 5.5) Pub Date : 2024-02-02
Abstract The issue of unoccupied or abandoned homesteads (courtyards) in China emerges given the increasing aging population, rapid urbanization and massive rural-urban migration. From the aspect of rural vitalization, land-use planning, and policy making, determining the number of unoccupied courtyards is important. Field and questionnaire-based surveys were currently the main approaches, but these
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Study on the performance of lightweight roadway wall thermal insulation coating containing EP-GHB mixed ceramsite Build. Simul. (IF 5.5) Pub Date : 2024-02-02 Yongliang Zhang, Shili Yin, Hongwei Mu, Xilong Zhang, Qinglei Tan, Bing Shao
As the mining depth increases, the problem of high-temperature thermal damage mainly caused by heat dissipation of surrounding rock is becoming more and more obvious. It is very important to solve the environmental problem of mine heat damage to improve the efficiency of mineral resource exploitation and protect the physical and mental health of workers. One can apply thermal insulation coating on
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The effects of cool materials, façade orientation, and morphological parameters on energy consumption at the residential neighborhood scale Build. Simul. (IF 5.5) Pub Date : 2024-01-27 Fusuo Xu, Dongdong Tian, Zhi Gao, Jianshun Jensen Zhang
Building surface cool materials are novel materials that can reduce urban heat island intensity and decrease building energy consumption. This study investigated the impact of radiative properties of materials, façade orientation, and morphological parameters on energy consumption in six typical residential neighborhoods in Nanjing, China. The neighborhood energy consumption of 16 application schemes
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A theoretical study on gaseous pollutant flushing of natural ventilation driven by buoyancy forces in industrial buildings Build. Simul. (IF 5.5) Pub Date : 2024-01-25 Jiawei Zhuang, Genyang Chen, Rumeng Yang, Kun Han, Dongdong Tian, Yongfa Diao, Henggen Shen
The acceleration of industrialization worsening indoor environments of industrial buildings has drawn more attention in recent years. Natural ventilation can improve indoor air quality (IAQ) and reduce carbon emissions. To evaluate gaseous pollutant levels in industrial buildings for the development of buoyancy-driven natural ventilation, two theoretical models of pollutant flushing (Model I and Model
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An optimization-oriented modeling approach using input convex neural networks and its application on optimal chiller loading Build. Simul. (IF 5.5) Pub Date : 2024-01-24
Abstract Optimization for the multi-chiller system is an indispensable approach for the operation of highly efficient chiller plants. The optima obtained by model-based optimization algorithms are dependent on precise and solvable objective functions. The classical neural networks cannot provide convex input-output mappings despite capturing impressive nonlinear fitting capabilities, resulting in a
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Evaluation of transmission risk of respiratory particles under different ventilation strategies in an elevator Build. Simul. (IF 5.5) Pub Date : 2024-01-19 Liangyu Zhu, Xian Li, Bujin Feng, Fan Liu
People in elevators are at risk of respiratory infection because the elevator cabin is crowded and has poor ventilation. The exhaled particles may be inhaled by the susceptible person, deposited on the surface and suspended in the elevator, which can result in direct and indirect transmission. However, whether the air vent designs adopted in the elevator can effectively reduce the transmission risk
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Influence of indoor airflow on airborne disease transmission in a classroom Build. Simul. (IF 5.5) Pub Date : 2024-01-19 Mojtaba Zabihi, Ri Li, Joshua Brinkerhoff
It has been widely accepted that the most effective way to mitigate airborne disease transmission in an indoor space is to increase the ventilation airflow, measured in air change per hour (ACH). However, increasing ACH did not effectively prevent the spread of COVID-19. To better understand the role of ACH and airflow large-scale patterns, a comprehensive fully transient computational fluid dynamics
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Enhancing source domain availability through data and feature transfer learning for building power load forecasting Build. Simul. (IF 5.5) Pub Date : 2024-01-13 Fanyue Qian, Yingjun Ruan, Huiming Lu, Hua Meng, Tingting Xu
During the initial phases of operation following the construction or renovation of existing buildings, the availability of historical power usage data is limited, which leads to lower accuracy in load forecasting and hinders normal usage. Fortunately, by transferring load data from similar buildings, it is possible to enhance forecasting accuracy. However, indiscriminately expanding all source domain
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Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network Build. Simul. (IF 5.5) Pub Date : 2024-01-13 Rouhui Wu, Yizhu Ren, Mengying Tan, Lei Nie
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Optimizing urban block morphologies for net-zero energy cities: Exploring photovoltaic potential and urban design prototype Build. Simul. (IF 5.5) Pub Date : 2024-01-13
Abstract The morphology of urban areas plays a crucial role in determining solar potential, which directly affects photovoltaic capacity and the achievement of net-zero outcomes. This study focuses on the City of Melbourne to investigate the utilization of solar energy across different urban densities and proposes optimized morphologies. The analysis encompasses blocks with diverse population densities
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Reducing children’s exposure to di(2-ethylhexyl) phthalate in homes and kindergartens in China: Impact on lifetime cancer risks and burden of disease Build. Simul. (IF 5.5) Pub Date : 2023-12-29 Dongsheng Tao, Wen Sun, Donghui Mo, Yonghui Lin, Wei Lv, Daniel Mmereki, Yousheng Xu, Yanghui Ye, Yuanjun Tang, Chao Ye, Cong Dong, Zhongming Bu
Exposure to di(2-ethylhexyl) phthalate (DEHP) in the indoor environment has been linked with significant health risks for Chinese children. Multi-phase DEHP concentrations in Chinese residences and kindergartens were estimated using a mass balance model based on the current baseline condition and control strategies (i.e., increasing ventilation rate, reducing area of sources, using mechanical ventilation
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Deep learning to develop zero-equation based turbulence model for CFD simulations of the built environment Build. Simul. (IF 5.5) Pub Date : 2023-12-27
Abstract This study aims to improve the accuracy and speed of predictions for thermal comfort and air quality in built environments by creating a coupled framework between computational fluid dynamics (CFD) simulations and deep learning models. The coupling approach is showcased by the development of a data-driven turbulence model. The new turbulence model is built using a deep learning neural network
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Mechanistic modeling of copper corrosions in data center environments Build. Simul. (IF 5.5) Pub Date : 2023-12-27 Rui Zhang, Jianshun Zhang, Roger Schmidt, Jeremy L. Gilbert
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Study of the multi-physics field-coupled model of the two-stage electrostatic precipitator Build. Simul. (IF 5.5) Pub Date : 2023-12-27 Wenjia Hao, Yu Guo, Yukun Wang, Tao Yu, Hao Gao, Zhengwei Long
The two-stage electrostatic precipitator is widely used to purify oil mist particles. However, there is limited research on the influences of relative humidity, particle deposition characteristics, and the generation of gaseous pollutants. Therefore, this paper established a numerical model of the electrostatic oil mist purifier and applied it to a two-stage electrostatic precipitator. Then the model
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High-performance formaldehyde prediction for indoor air quality assessment using time series deep learning Build. Simul. (IF 5.5) Pub Date : 2023-12-27 Liu Lu, Xinyu Huang, Xiaojun Zhou, Junfei Guo, Xiaohu Yang, Jinyue Yan
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A CAD-BEM geometry transformation method for face-based primary geometric input based on closed contour recognition Build. Simul. (IF 5.5) Pub Date : 2023-12-09 Jun Xiao, Hao Zhou, Shiji Yang, Deyin Zhang, Borong Lin
Performance analysis during the early design stage can significantly reduce building energy consumption. However, it is difficult to transform computer-aided design (CAD) models into building energy models (BEM) to optimize building performance. The model structures for CAD and BEM are divergent. In this study, geometry transformation methods was implemented in BES tools for the early design stage
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Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization Build. Simul. (IF 5.5) Pub Date : 2023-12-07 Ilyass Abouelaziz, Youssef Jouane
Building-Integrated photovoltaics (BIPV) have emerged as a promising sustainable energy solution, relying on accurate energy production predictions and effective decarbonization strategies for efficient deployment. This paper presents a novel approach that combines photogrammetry and deep learning techniques to address the problem of BIPV decarbonization. The method is called BIM-AITIZATION referring
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A novel non-intrusive load monitoring technique using semi-supervised deep learning framework for smart grid Build. Simul. (IF 5.5) Pub Date : 2023-12-04 Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila
Non-intrusive load monitoring (NILM) is a technique which extracts individual appliance consumption and operation state change information from the aggregate power consumption made by a single residential or commercial unit. NILM plays a pivotal role in modernizing building energy management by disaggregating total energy consumption into individual appliance-level insights. This enables informed decision-making
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Numerical simulation of formaldehyde distribution characteristics in the high-speed train cabin Build. Simul. (IF 5.5) Pub Date : 2023-12-04 Fan Wu, Hang Dong, Chao Yu, Hengkui Li, Qingmin Cui, Renze Xu
The global concern over indoor air pollution in public vehicles has grown significantly. With a focus on enhancing passengers’ comfort and health, this study endeavors to investigate the distribution characteristics of formaldehyde within a high-speed train cabin by employing a computational fluid dynamics (CFD) model which is experimentally validated in a real cabin scenario. The research focuses
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CBE Clima Tool: A free and open-source web application for climate analysis tailored to sustainable building design Build. Simul. (IF 5.5) Pub Date : 2023-12-04 Giovanni Betti, Federico Tartarini, Christine Nguyen, Stefano Schiavon
Climate-responsive building design holds immense potential for enhancing comfort, energy efficiency, and environmental sustainability. However, many social, cultural, and economic obstacles might prevent the wide adoption of designing climate-adapted buildings. One of these obstacles can be removed by enabling practitioners to easily access, visualize and analyze local climate data. The CBE Clima Tool
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Assessing the energy saving potential of using adaptive setpoint temperatures: The case study of a regional adaptive comfort model for Brazil in both the present and the future Build. Simul. (IF 5.5) Pub Date : 2023-11-23 Daniel Sánchez-García, David Bienvenido-Huertas, Carlos Rubio-Bellido, Ricardo Forgiarini Rupp
It has been found in recent years that using setpoint temperatures based on adaptive thermal comfort models is a successful method of energy conservation. Recent studies using adaptive setpoint temperatures incorporate international models from ASHRAE Standard 55 and EN16798-1. This study, however, has instead considered a regional Brazilian adaptive comfort model. This study investigates the energy
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Optimization study of spherical tuyere based on BP neural network and new evaluation index Build. Simul. (IF 5.5) Pub Date : 2023-11-22 Mengchao Liu, Ran Gao, Yi Wang, Angui Li
The energy consumption of heating, ventilation, and air conditioning (HVAC) systems holds a significant position in building energy usage, accounting for about 65% of the total energy consumption. Moreover, with the advancement of building automation, the energy consumption of ventilation systems continues to grow. This study focuses on improving the performance of spherical tuyeres in HVAC systems
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Numerical study of the influence of the atmospheric pressure on the thermal environment in the passenger cabin Build. Simul. (IF 5.5) Pub Date : 2023-11-20 Xin Su, Yu Guo, Zhengwei Long, Yi Cao
The cabin air pressure remains lower than the horizontal atmospheric pressure when the airplane is in flight. Air pressure is one of the parameters that must be taken into consideration while studying the thermal environment of an airplane cabin. There are still no reference values for aircraft cabins despite the fact that numerous studies on low pressure heat transfer have demonstrated the connection
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Numerical simulation study on the hygrothermal performance of building exterior walls under dynamic wind-driven rain condition Build. Simul. (IF 5.5) Pub Date : 2023-11-11 Xing Hu, Huibo Zhang, Hui Yu
Wind-driven rain (WDR) has a significant influence on the hygrothermal performance, durability, and energy consumption of building components. The calculation of WDR loads using semi-empirical models has been incorporated into the boundary conditions of coupled heat and moisture transfer models. However, prior research often relied on fixed WDR absorption ratio, which fail to accurately capture the
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An improved transfer learning strategy for short-term cross-building energy prediction using data incremental Build. Simul. (IF 5.5) Pub Date : 2023-11-09 Guannan Li, Yubei Wu, Chengchu Yan, Xi Fang, Tao Li, Jiajia Gao, Chengliang Xu, Zixi Wang
The available modelling data shortage issue makes it difficult to guarantee the performance of data-driven building energy prediction (BEP) models for both the newly built buildings and existing information-poor buildings. Both knowledge transfer learning (KTL) and data incremental learning (DIL) can address the data shortage issue of such buildings. For new building scenarios with continuous data
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The noise spectral characteristics and noise reduction schemes of screw air-source heat pump: A case study Build. Simul. (IF 5.5) Pub Date : 2023-11-08 Dongsheng Liu, Yaohan Feng, Jikang Jia, Pengfei Si, Ya Feng
The screw air-source heat pump can cause incessant high noise levels during operation, which might hinder adoption of this energy-efficient heat pump. First, acoustic measurements and comparison testing were performed in this research. The measurements revealed that the compressor is the main noise source of the heat pump, and it shows a multipeak frequency distribution and a wide frequency spectrum
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A Wells-Riley based COVID-19 infectious risk assessment model combining both short range and room scale effects Build. Simul. (IF 5.5) Pub Date : 2023-10-21 Yinshuai Feng, Yifan Fan, Xiaoyu Luo, Jian Ge
There is growing evidence of the high transmission potential of COVID-19 through virus-laden aerosols. Because aerosols are inhaled in various concentrations, an overall assessment of transmission risks at different indoor scales is crucial. However, a comprehensive risk assessment method that evaluates the direct link between short-range and room-scale zones is still lacking. In this paper, a risk
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Pedestrian wind flow prediction using spatial-frequency generative adversarial network Build. Simul. (IF 5.5) Pub Date : 2023-10-21 Pengyue Wang, Maozu Guo, Yingeng Cao, Shimeng Hao, Xiaoping Zhou, Lingling Zhao
Pedestrian wind flow is a critical factor in designing livable residential environments under growing complex urban conditions. Predicting pedestrian wind flow during the early design stages is essential but currently suffers from inefficiencies in numerical simulations. Deep learning, particularly generative adversarial networks (GAN), has been increasingly adopted as an alternative method to provide
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Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China Build. Simul. (IF 5.5) Pub Date : 2023-10-17 Zhiyi Ren, Yixing Chen, Chengcheng Song, Mengyue Liu, Anni Xu, Qilin Zhang
Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions
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A study on carbon emission calculation in operation stage of residential buildings based on micro electricity usage behavior: Three case studies in China Build. Simul. (IF 5.5) Pub Date : 2023-10-17 Menghan Niu, Ying Ji, Miao Zhao, Jiefan Gu, Aonan Li
Along with the improvement of social productivity and living standard, residential buildings generate a growing portion of carbon emissions, especially during the operation stage. However, energy use behaviors are usually ignored in carbon emission calculation. This study focuses on calculating carbon emissions during the operation stage for residential buildings based on the characteristics of energy
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In search of optimal building behavior models for model predictive control in the context of flexibility Build. Simul. (IF 5.5) Pub Date : 2023-10-14 Arash Erfani, Tohid Jafarinejad, Staf Roels, Dirk Saelens
Model predictive control (MPC) is an advanced control technique. It has been deployed to harness the energy flexibility of a building. MPC requires a dynamic model of the building to achieve such an objective. However, developing a suitable predictive model is the main challenge in MPC implementation for flexibility activation. This study focuses on the application of key performance indicators (KPIs)
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Optimising multi-vent module-based adaptive ventilation using a novel parameter for improved indoor air quality and health protection Build. Simul. (IF 5.5) Pub Date : 2023-10-12 Haotian Zhang, Xiaoxiao Ding, Weirong Zhang, Weijia Zhang, Yingli Xuan
As infectious respiratory diseases are highly transmissible through the air, researchers have improved traditional total volume air distribution systems to reduce infection risk. Multi-vent module-based adaptive ventilation (MAV) is a novel ventilation type that facilitates the switching of inlets and outlets to suit different indoor scenarios without changing ductwork layout. However, little research
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Dynamic thermal performance and energy-saving potential analysis of a modular pipe-embedded building envelope integrated with thermal diffusive materials Build. Simul. (IF 5.5) Pub Date : 2023-10-07 Yang Yang, Sarula Chen
In the context of racing to carbon neutrality, the pipe-embedded building system makes the opaque envelopes gradually regarded as the multi-functional element, which also provides an opportunity for thermal insulation solutions to transform from high to zero-carbon attributes. Based on the re-examination of the heat transfer process of conventional pipe-embedded radiant (CPR) walls, the modular pipe-embedded
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A review of validation methods for building energy modeling programs Build. Simul. (IF 5.5) Pub Date : 2023-10-03 Xin Zhou, Ruoxi Liu, Shuai Tian, Xiaohan Shen, Xinyu Yang, Jingjing An, Da Yan
Building energy simulation analysis plays an important supporting role in the conservation of building energy. Since the early 1980s, researchers have focused on the development and validation of building energy modeling programs (BEMPs) and have basically formed a set of systematic validation methods for BEMPs, mainly including analytical, comparative, and empirical methods. Based on related papers
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Example-based dynamic façade design using the facade daylighting performance improvement (FDPI) indicator Build. Simul. (IF 5.5) Pub Date : 2023-09-26 Luka Akimov, Andrey Bezborodov, Vladimir Badenko
It remains challenging to conduct an efficient dynamic façade design. In this article authors try to address this issue introducing the façade daylighting performance improvement (FDPI) indicator aimed to evaluate the performance of a dynamic (adaptive) façade from its daylighting performance point of view. To illustrate the FDPI application the authors introduced the preliminary dynamic façade concept
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Modeling and configuration optimization of the rooftop photovoltaic with electric-hydrogen-thermal hybrid storage system for zero-energy buildings: Consider a cumulative seasonal effect Build. Simul. (IF 5.5) Pub Date : 2023-09-25 Haoxin Dong, Chuanbo Xu, Wenjun Chen
Rooftop photovoltaic (PV) systems are represented as projected technology to achieve net-zero energy building (NEZB). In this research, a novel energy structure based on rooftop PV with electric-hydrogen-thermal hybrid energy storage is analyzed and optimized to provide electricity and heating load of residential buildings. First, the mathematical model, constraints, objective function, and evaluation
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Modeling and management performances of distributed energy resource for demand flexibility in Japanese zero energy house Build. Simul. (IF 5.5) Pub Date : 2023-09-23 Yanxue Li, Xiaoyi Zhang, Fu Xiao, Weijun Gao, Yan Liu
Zero-energy buildings (ZEBs) can contribute to decarbonizing building energy systems, while the energy mismatch between energy demand and on-site stochastic generation in ZEBs increases the need for energy flexibility. This study proposed mixed-integer linear programming energy management schemes for optimizing the flexible scheduling of distributed energy resources, including battery energy storage
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Evaluation of model predictive control (MPC) of solar thermal heating system with thermal energy storage for buildings with highly variable occupancy levels Build. Simul. (IF 5.5) Pub Date : 2023-09-14 Zhichen Wei, John Calautit
The presence or absence of occupants in a building has a direct effect on its energy use, as it influences the operation of various building energy systems. Buildings with high occupancy variability, such as universities, where fluctuations occur throughout the day and across the year, can pose challenges in developing control strategies that aim to balance comfort and energy efficiency. This situation
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An improved window opening behavior model involving the division of the dummy variable’s interval level: Case study of an office building in Xi’an during summer Build. Simul. (IF 5.5) Pub Date : 2023-09-14 Yaxiu Gu, Tingting Wang, Qingqing Dong, Zhuangzhuang Ma, Tong Cui, Changgui Hu, Kun Liu, Song Pan, Qian Qi, Minyan Xie
Window opening behavior significantly impacts indoor air quality, thermal comfort, and energy consumption. A field measurement was carried out in three typical rooms (a standard office, a meeting room and a smoking office) within an office building. The window state and the physical environment were continuously recorded during the measured periods. Three typical window opening behaviors were found
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Frost prediction based on a 3D CFD model of heat and mass transfer in a counter-cross-flow parallel-plate liquid-to-air membrane energy exchanger Build. Simul. (IF 5.5) Pub Date : 2023-09-11 Mohammad Alipour Shotlou, Nader Pourmahmoud
The frosting is a critical phenomenon in building systems because it decreases the performance of exchangers and damages them. In this article, heat and mass transfer in a specified liquid-to-air membrane energy exchanger (LAMEE) and their effects on condensation and frost formation are simulated numerically using the 3D computational fluid dynamics (CFD) technique. The CFD model has been validated
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Preliminary data on effects of different street vegetation on stress recovery Build. Simul. (IF 5.5) Pub Date : 2023-09-04 Chao Liu, Nan Zhang, Jiaxin Li, Jing Shi, Weijun Gao, Yanan Yu
Streets are important public spaces in daily life, and their stress-relieving abilities help to improve people’s physical and mental health. To investigate the effects of different types of street vegetation on people’s stress recovery, this study used virtual reality technology to establish five street scenes with different vegetation types, including a non-vegetated street, a street with trees, a
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Potential of contemporary earth-sheltered buildings to achieve Plus Energy status in various European climates during the heating season Build. Simul. (IF 5.5) Pub Date : 2023-08-31 Aleksandar Nešović, Nebojša Jurišević, Robert Kowalik, Ivana Terzić
This study investigates the potential of contemporary Earth-Sheltered Buildings to contribute to sustainable societies by achieving Plus Energy Building status during the heating season. The buildings analyzed are intended to house a four-member family (102.5 m2). The house is equipped with a ground source heat pump, geothermal vertical probes, floor heating panels, an energy recovery ventilator, and
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Ensemble machine learning framework for daylight modelling of various building layouts Build. Simul. (IF 5.5) Pub Date : 2023-08-30 Rashed Alsharif, Mehrdad Arashpour, Emad Golafshani, Milad Bazli, Saeed Reza Mohandes
The application of machine learning (ML) modelling in daylight prediction has been a promising approach for reliable and effective visual comfort assessment. Although many advancements have been made, no standardized ML modelling framework exists in daylight assessment. In this study, 625 different building layouts were generated to model useful daylight illuminance (UDI). Two state-of-the-art ML algorithms
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A subspace based method for modelling building’s thermal dynamic in district heating system and parameter extrapolation verification Build. Simul. (IF 5.5) Pub Date : 2023-08-24 Junfeng Zhang, Lanbin Liu, Yameng Liu
The district heating system (DHS) consumes a lot of energy in winter, and its control accuracy needs to be improved urgently. To apply advanced process control (APC) in DHS, the thermal dynamic model of the existing buildings is essential. This paper uses the subspace method which is a data-driven approach for modelling the thermal dynamics of the building. The model’s performance is analyzed using
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Exhaust hood performance and its improvement technologies in industrial buildings: A literature review Build. Simul. (IF 5.5) Pub Date : 2023-08-24 Jing Zhang, Jian Wang, Jun Gao, Weimin Zhang
The pollutant control performance of exhaust hoods plays a crucial role in the indoor air quality and energy consumption of ventilation systems in industrial buildings. To better understand the impact of local ventilation on the industrial indoor environment, this paper presents a literature review of exhaust hood performance and its improvement technologies. To create an index for evaluating the performance
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Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior Build. Simul. (IF 5.5) Pub Date : 2023-08-24 Zhengyi Luo, Jinqing Peng, Maomao Hu, Wei Liao, Yi Fang
A model-based optimal dispatch framework was proposed to optimize operation of residential flexible loads considering their real-life operating characteristics, energy-related occupant behavior, and the benefits of different stakeholders. A pilot test was conducted for a typical household. According to the monitored appliance-level data, operating characteristics of flexible loads were identified and