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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted by number of followers
Review of Economics and Statistics     Hybrid Journal   (Followers: 321)
Statistics in Medicine     Hybrid Journal   (Followers: 171)
Journal of Econometrics     Hybrid Journal   (Followers: 85)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 79, SJR: 3.746, CiteScore: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 53)
Biometrics     Hybrid Journal   (Followers: 51)
Sociological Methods & Research     Hybrid Journal   (Followers: 49)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 43)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 42, SJR: 3.664, CiteScore: 2)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 39)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 36)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 35)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 35)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 31)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 28)
The American Statistician     Full-text available via subscription   (Followers: 27)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 24)
Journal of Applied Statistics     Hybrid Journal   (Followers: 22)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Forecasting     Hybrid Journal   (Followers: 21)
Statistical Modelling     Hybrid Journal   (Followers: 19)
Journal of Statistical Software     Open Access   (Followers: 19, SJR: 13.802, CiteScore: 16)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 18)
Computational Statistics     Hybrid Journal   (Followers: 17)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 17)
Risk Management     Hybrid Journal   (Followers: 16)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 15)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 12)
International Statistical Review     Hybrid Journal   (Followers: 12)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 10)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 10)
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Stata Journal     Full-text available via subscription   (Followers: 10)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 9)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Handbook of Statistics     Full-text available via subscription   (Followers: 9)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 9)
Current Research in Biostatistics     Open Access   (Followers: 9)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 8)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 8)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Law, Probability and Risk     Hybrid Journal   (Followers: 8)
Argumentation et analyse du discours     Open Access   (Followers: 8)
Research Synthesis Methods     Hybrid Journal   (Followers: 8)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 7)
Queueing Systems     Hybrid Journal   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
Biometrical Journal     Hybrid Journal   (Followers: 6)
Significance     Hybrid Journal   (Followers: 6)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Lifetime Data Analysis     Hybrid Journal   (Followers: 5)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Statistical Methods and Applications     Hybrid Journal   (Followers: 5)
CHANCE     Hybrid Journal   (Followers: 5)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Metrika     Hybrid Journal   (Followers: 4)
Statistical Papers     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 4)
TEST     Hybrid Journal   (Followers: 3)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 3)
Sankhya A     Hybrid Journal   (Followers: 3)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Extremes     Hybrid Journal   (Followers: 2)
Optimization Letters     Hybrid Journal   (Followers: 2)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
Building Simulation     Hybrid Journal   (Followers: 2)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Sequential Analysis: Design Methods and Applications     Hybrid Journal   (Followers: 1)
Journal of the Korean Statistical Society     Hybrid Journal   (Followers: 1)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)
Statistics and Economics     Open Access  
Review of Socionetwork Strategies     Hybrid Journal  
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  

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Journal Cover
Building Simulation
Journal Prestige (SJR): 0.839
Citation Impact (citeScore): 2
Number of Followers: 2  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1996-8744 - ISSN (Online) 1996-3599
Published by Springer-Verlag Homepage  [2468 journals]
  • Impact of radiative cooling on the energy performance of courtyards in
           Mediterranean climate

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      Abstract: Abstract Radiative cooling has proven to be a useful tool to address the problems of lack of comfort and excessive energy consumption in situations of high temperatures, overheating and heat waves. Likewise, incorporating courtyards in warm climate zones has been found to be highly beneficial in addressing similar challenges. Hence, there is interest in analyzing the combined effects of both: radiative cooling and courtyards. This paper presents an analysis of the impact of the application of radiative cooling on a courtyard using a comprehensive simulation approach that includes a CFD model for the thermodynamic airflow in the adjacent roofs and inside the courtyard, equations for the transient heat conduction through roofs, walls and courtyard slabs, and a hybrid raytracing-radiosity model for the evaluation of the solar radiation reaching the building surfaces and its reflections, both of specular and diffuse origin, and for the calculation of the thermal radiation exchange, especially with the sky. The results show that in the hot season, the courtyard with radiative cooling always provides lower temperatures than the initial courtyard does, with a temperature range of 18.33 °C to 33.78 °C, compared to a range of 19.32 °C to 38.00 °C in the initial courtyard, and producing a greater difference with outdoor temperatures that can reach 12 °C versus 8 °C for the reference case. In addition, it was found that the courtyard with radiative cooling is able to significantly reduce the observed nighttime overheating by providing lower temperatures than the outdoor temperatures in the 50% of the nights studied. It was also found that the thermal loads to achieve indoor thermal comfort in the spaces adjacent to the courtyard were reduced by 63.46% to 69.85%.
      PubDate: 2024-08-08
       
  • Exercise and resting periods: Thermal comfort dynamics in gym environments

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      Abstract: Abstract Physical exercise spaces emerged as popular facilities due to recognizing the significance of physical well-being. This study investigates the relationship among physiological responses, human body energy transfer modes, and indoor environmental conditions in influencing thermal comfort perception within indoor physical exercise space. Seven male participants engaged in a 30 min constant-work-rate cycling exercise and a 20 min resting period in a climatic chamber. The physiological and environmental responses were recorded during the experiments, and the body’s energy transfer modes were calculated using the collected data. The dataset was prepared using the 2 min averages of the collected data and calculated parameters across the experiment phases, including the features of skin temperature, core temperature, skin relative humidity, heart rate, oxygen consumption, body’s heat transfer rates through convection, radiation, evaporation, and respiration, net metabolic heat production rate (metabolic rate minus external work rate), indoor air temperature, indoor relative humidity, air velocity, and radiant temperature. Gradient boosting regressor (GBR) was selected as the analyzing method to estimate predicted mean vote (PMV) and thermal sensation vote (TSV) indices during exercise and resting periods using features determined in the study. Thus, the four GBR models were defined as PMV-Exercise, PMV-Resting, TSV-Exercise, and TSV-Resting. In order to optimize the models’ performances, the hyperparameter tuning process was executed using the GridSearchCV method. A permutation feature importance analysis was performed, emphasizing the significance of net metabolic heat production rate (24.2%), radiant temperature (17.0%), and evaporative heat transfer rate (13.1%). According to the results, PMV-Exercise, PMV-Resting, and TSV-Resting GBR models performed better, while TSV-Exercise faced challenges in predicting exercise thermal sensations. Critically, this study addresses the need to understanding the interrelationship among physiological responses, environmental conditions, and human body energy transfer modes during both exercise and resting periods to optimize thermal comfort within indoor exercise spaces. The results of this study contribute to the operation of indoor gym environments to refine their indoor environmental parameters to optimize users’ thermal comfort and well-being. The study is limited to a small sample size consisting solely of male participants, which may restrict the generalizability of the findings. Future research could explore personalized thermal comfort control systems and synergies between comfort optimization and energy efficiency in indoor exercise spaces.
      PubDate: 2024-08-03
       
  • Exploring the effects of mask wearing on outdoor thermal comfort at
           different walking speeds—A thermal manikin-based experiment

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      Abstract: Abstract Face masks’ wearing for a long duration brings thermal discomfort, especially in hot climate cities. The face masks’ thermal insulation and its effect on outdoor thermal comfort have been rarely investigated. In this study, five types of face masks and their thermal insulations have been tested by using a thermal manikin in the climate chamber. Experimental results are assessed by using physiological equivalent temperature (PET) and standard effective temperature (SET*) for thermal comfort with masks at three walking speeds both in summer and winter. Slight differences in thermal insulation are observed among the different masks, the values of PET and SET* rise with increasing mask thermal insulation, and they are generally higher in summer than in winter. Moreover, the variation of SET* is more obvious than PET with same masks at different walking speeds. And the differences of SET* with and without masks appear to rise significantly for fast walking. Results further indicate that the individuals’ physical discomfort caused by wearing masks cannot simply be assumed as an additional effect of the clothing thermal insulation. The findings enrich the clothing thermal insulation database, explore the differences in thermal indices if the face mask is used, and provide advice on heat mitigation with masks outdoors.
      PubDate: 2024-07-31
       
  • Effect of solar radiation on human thermal sensation and physiological
           parameters in a convection–radiation air conditioning environment

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      Abstract: Abstract This study focused on the effect of glass structures of modern architecture on the indoor thermal environment during summer. In particular, this study examined how solar radiation significantly altered people’s thermal sensations. Laboratory tests on convection–radiation air conditioning systems were conducted, encompassing 12 different scenarios, including diverse indoor open areas, terminal forms, and levels of solar radiation. These tests aimed to explore the physiological and psychological responses of the human body to solar radiation penetrating through windows into the inner room. During the experiments, the participants’ subjective thermal sensations and thermal comfort were recorded, along with continuous monitoring of their physiological and environmental parameters. Results showed that solar radiation significantly increased local skin temperature, with a maximum rise of 2.15 °C. Operative temperature is a reliable indicator of human skin temperature and thermal sensation vote (TSV). This study established two models that could predict the skin temperature of individuals indoors through operative temperature under conditions without or with solar radiation, and identified sensitive ranges of operative temperature for both models, to be specific, 26.32 °C to 28.43 °C and 28.51 °C to 34.11 °C, respectively. Furthermore, this study established the relationship between skin temperature and TSV under conditions with and without solar radiation. The results indicate that solar radiation enhances the human body’s adaptability to indoor environmental parameters; a convection–radiation system (FC+RF) could be used to optimize indoor thermal control under solar radiation, achieving more stable environmental temperatures and improved indoor comfort.
      PubDate: 2024-07-27
       
  • Factors, processes, and models of soundmark identification in urban parks

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      Abstract: Abstract The concept of a soundmark refers to a distinctive sound source that identifies a particular area based on its environmental acoustic characteristics. This study investigated the factors and processes of soundmark identification in urban parks. After interviewing participants in 14 different urban parks in China, six categories that affect soundmark identification were identified, “sound source”, “context”, “sound perception”, “individual features”, “response” and “comprehension”. First, the core category is context. As for context, in amusement parks, activity parks, and nature parks, respectively, the theme, function, and scene affect the soundmark identification. For sound perception, soundmark identification is affected by the occurrence of birdsongs and the duration of water sounds in nature parks. Soundmark identification is affected by contrast, duration, and audio-visuals in amusement parks and activity parks. Furthermore, a soundmark identification model specifically for urban parks has been established. The model contains two identified processes: responsive soundmarks and comprehensive soundmarks. For responsive soundmark identification processes, sound source, context, sound perception, and response are essential factors. For comprehensive soundmark identification processes, sound source, context, individual features, and comprehension are essential factors. The soundmarks cannot be identified if the response or comprehension is missed during the process. Ultimately, the park’s cultural features promote the identification of comprehensive soundmarks. In addition, soundmarks can be effectively transformed by changing the context of urban parks or the characteristics of sound perception.
      PubDate: 2024-07-27
       
  • Integrated framework for space- and energy-efficient retrofitting in
           multifunctional buildings: A synergy of agent-based modeling and
           performance-based modeling

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      Abstract: Abstract This research investigates retrofitting strategies for multifunctional spaces within educational buildings, employing agent-based and performance-based modeling to support decision-making. An experimental matrix was developed, reflecting three usage scenarios (reading, exhibition, lecture) across four retrofitting schemes. An agent-based model was developed to delineate intricate human behaviors in space and examined the self-organizing behaviors of 30 agents for each scheme in every scenario, evaluating six metrics on spatial efficiency and visual experience. Calibrated models, derived from real data and processed through DesignBuilder software, evaluated three metrics: energy use, thermal comfort, and visual comfort. The research then incorporated metrics from the agent-based model and performance simulation to develop a method for discussing the decision-making process in retrofit strategies. The findings indicate that the optimal retrofitting solution for multifunctional spaces is heavily influenced by the distribution of usage scenarios. Given the substantial influence of space metrics on selecting the optimal retrofit scheme, the proposed framework effectively facilitates decision-making for building retrofits by providing a holistic evaluation of both spatial and energy criteria.
      PubDate: 2024-07-27
       
  • Energy consumption simulations of rural residential buildings considering
           differences in energy use behavior among family members

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      Abstract: Abstract The “average occupant” methodology is widely used in energy consumption simulations of residential buildings; however, it fails to consider the differences in energy use behavior among family members. Based on a field survey on the Central Shaanxi Plain, to identify the energy use behavior patterns of typical families, a stochastic energy use behavior model considering differences in energy use behavior among family members was proposed, to improve the accuracy of energy consumption simulations of residential buildings. The results indicated that the surveyed rural families could be classified into the following four types depending on specific energy use behavior patterns: families of one elderly couple, families of one middle-aged couple, families of one elderly couple and one child, and families of one couple and one child. Moreover, on typical summer days, the results of daily building energy consumption simulation obtained by the “average occupant” methodology were 25.39% and 28% lower than the simulation results obtained by the model proposed in this study for families of one elderly couple and families of one middle-aged couple, and 13.05% and 23.05% higher for families of one elderly couple and one child, and families of one couple and one child. On typical winter days, for the four types of families, the results of daily building energy consumption simulation obtained by the “average occupant” methodology were 21.69%, 10.84%, 1.21%, and 8.39% lower than the simulation results obtained by the model proposed in this study, respectively.
      PubDate: 2024-07-25
       
  • Fast flow simulation study of pulsating ventilation performance on air
           contaminant removal

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      Abstract: Abstract Fast flow simulation is imperative in the design of pulsating ventilation, which is potentially efficient in indoor air contaminant removal. The execution of the conventional CFD method requires considerable amount of computational resources. In this study, five different numerical schemes were proposed based on fast fluid dynamics (FFD) and fractional step (FS) methods, and were evaluated to achieve quick simulation of airflow/contaminant dispersion. One of these numerical schemes was identified with the best overall computing efficiency for investigating the performance of pulsating ventilation. With this numerical scheme at hand, the air contaminant removal effectiveness of different ventilation types was evaluated. Two kinds of pulsating ventilation and one kind of steady ventilation were tested upon a benchmark isothermal mixing chamber. The effect of adjusting supply velocity parameters on the ventilation performance was also investigated. CO2 concentration, airflow pattern, and vortex structure of different ventilation types were illustrated and analyzed. The results reveal that the FS method is more suitable for transient simulation of wall-bounded indoor airflow than the FFD method, and 34%–51% of computing time could be saved compared to the conventional CFD method. Regarding the choice of ventilation type, steady ventilation might result in short-circuit airflow and stagnant zones; alternatively, pulsating ventilation has greater potential in air contaminant removal due to its ever-changing vortex structure.
      PubDate: 2024-07-23
       
  • Thermal performances and invisible thermal barrier formation mechanism of
           arc-shaped metal-fin-enhanced thermally activated building envelopes with
           directional heat charging feature

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      Abstract: Abstract Thermally activated building envelopes (TABEs) are multifunctional component that combines structural and energy properties. Based on re-examining the heat charging processes, an arc-shaped metal-fin-enhanced TABE (Arc-finTABE) with directional heat charging features is proposed to optimize the thermal barrier formation process. A comprehensive parameterized analysis is conducted based on a validated mathematical model to explore the influence of 5 fin-structure design parameters and the static insulation thickness. Results verified that the directional charging strengthening fins can improve transient thermal performances of Arc-finATBE and enlarge horizontal and vertical sizes of the thermal energy accumulation area surrounding the pipeline, while the maximum growth in extra heat loss is less than 3.17%. From the perspective of promoting heat injection into expected areas, the straight main fin configurations with the angle of main fins of 30°, shank length ratio of 0.4 and no leftward mounted fins are preferred in load-reduction mode, while the angle of main fins of 150°, shank length ratio of 0.8 and multiple fin designs, especially with one of the main fins horizontally toward the indoor side, are more favorable in auxiliary-heating mode. Besides, it is recommended to add one arc-shaped branch fin to each main fin to achieve a balance between performance improvement and material usage. Moreover, branch fins with larger arc angles are preferred in auxiliary-heating mode, while smaller arc angles are conducive to injecting heat into the wall along main fins in load-reduction mode and preventing the heat near the inner surface from being extracted. Under the direct influence of the strengthened invisible thermal barrier, Arc-finTABEs can reduce the amount of static insulation layer by 20%–80% while achieving equivalent thermal performances as conventional high-performance walls.
      PubDate: 2024-07-23
       
  • A real-time personal PM2.5 exposure monitoring system and its application
           for college students

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      Abstract: Abstract There is a growing need in public health to conduct large-scale epidemiological studies to investigate the health effects of fine particulate matter (PM2.5) exposure levels. In response to this need, we developed a real-time personal PM2.5 exposure monitoring system (PEPS: Personal Exposure PM2.5 System), which is capable of monitoring personal exposure concentration and uploading data in real time. The air quality self-labelling device, specifically customized for the PEPS, can be worn on the body and features functions for real-time data automatic upload, data storage, data export, and localization. This system enables researchers to obtain the big data of personal PM2.5 exposure concentration at low cost, with minimal manpower and technical requirements. It has been utilized to investigate the personal exposure levels of PM2.5 among college students in Beijing, China, providing a substantial volume of valuable data for indoor air quality and related epidemiological study. The maximum difference between the monitored daily average exposure concentration and the outdoor concentration was 265 µg/m3, corresponding to a relative error of 1579.5%. The correlation analysis of 11 factors showed that the correlation between exposure concentration and outdoor concentration was as high as 0.66 (p < 0.001), and the correlation between exposure concentration and other certain factors was in the range of [−0.11, −0.03].
      PubDate: 2024-07-23
       
  • Energy consumption dynamic prediction for HVAC systems based on feature
           clustering deconstruction and model training adaptation

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      Abstract: Abstract The prediction of building energy consumption offers essential technical support for intelligent operation and maintenance of buildings, promoting energy conservation and low-carbon control. This paper focused on the energy consumption of heating, ventilation and air conditioning (HVAC) systems operating under various modes across different seasons. We constructed multi-attribute and high-dimensional clustering vectors that encompass indoor and outdoor environmental parameters, along with historical energy consumption data. To enhance the K-means algorithm, we employed statistical feature extraction and dimensional normalization (SFEDN) to facilitate data clustering and deconstruction. This method, combined with the gated recurrent unit (GRU) prediction model employing adaptive training based on the Particle Swarm Optimization algorithm, was evaluated for robustness and stability through k-fold cross-validation. Within the clustering-based modeling framework, optimal submodels were configured based on the statistical features of historical 24-hour data to achieve dynamic prediction using multiple models. The dynamic prediction models with SFEDN cluster showed a 11.9% reduction in root mean square error (RMSE) compared to static prediction, achieving a coefficient of determination (R2) of 0.890 and a mean absolute percentage error (MAPE) reduction of 19.9%. When compared to dynamic prediction based on single-attribute of HVAC systems energy consumption clustering modeling, RMSE decreased by 12.6%, R2 increased by 4.0%, and MAPE decreased by 26.3%. The dynamic prediction performance demonstrated that the SFEDN clustering method surpasses conventional clustering method, and multi-attribute clustering modeling outperforms single-attribute modeling.
      PubDate: 2024-07-19
       
  • Application-driven development of a thermal imaging-based cabin occupant
           thermal sensation assessment model and its validation

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      Abstract: Abstract The air conditioning (A/C) of cabins allows for customized control, but manual adjustments may distract drivers, as well as result in energy inefficiency. Several existing thermal sensation models require complex inputs, which are challenging to gather whilst driving. To address this issue, this study developed a non-contact thermal sensation model for cabin occupants based on thermal imaging sensor. To collect actual data used for modeling, an outdoor subject experiment was conducted. In this study, initial training was conducted to compare the performance of six algorithms in building the model, with random forests algorithm showing the best performance. Besides, this study employed the recursive feature elimination (RFE) method with cross-validation algorithm for identifying the key features. In the end, the model was retrained using the selected features. The model that incorporated both environmental parameters and facial-temperature features demonstrated the best performance, with an R2 of 0.659 on the test set. Eliminating the hard-to-measure windshield surface temperature resulted in a slight reduction in accuracy, yielding an R2 of 0.651. To verify the generalizability of the model, this study further conducted independent validation experiments. The selected model, which exhibited a mean absolute error (MAE) of less than 0.4 in thermal sensation units, was proven to be highly applicable. The results can offer new solutions for automatic control of cabin A/C.
      PubDate: 2024-07-13
       
  • Urban scale rooftop super cool broadband radiative coolers in humid
           conditions

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      Abstract: Abstract The presence of water molecules in the air can impact how super cool broadband radiative coolers behave. Higher humidity in the lower atmosphere traps infrared radiation, reducing heat sent back to outer space. In this study, a mesoscale urban climate model is used to evaluate the newly developed super cool materials with broadband emissivity not selective in atmospheric window as an arsenal for urban heat management of tropical wet and dry cities like Kolkata. The results suggest that the energy balance over urban domain has substantially been altered by the city scale deployment of super cool broadband radiative cooling materials on the building rooftop. Bowen ratio and evaporative fraction values were found decreasing and increasing, respectively with a positive directional polynomial (R2 = 0.968) relationship, after the implementation of super cool broadband radiative cooling materials and in comparison, to the unmitigated scenario. At high solar hour (14:00 LT), additional thermal variables of urban domain such as 2 m air temperature, surface skin temperature, urban canopy temperature, and roof surface temperature decrease by 2.3 °C, 5.4 °C, 0.8 °C, and 31.7 °C, respectively. Reflective super cool broadband materials achieve sub-ambient temperatures up to 11.7 °C during peak hours, reduce surface wind speed by 2.5 m s−1, and lower the planetary boundary layer by 1475 m. The average daytime drop is approximately 7.3 °C, and at night, it is close to 2.4 °C. Deployment induces a “regional high” over urban areas, disrupting sea breeze onset and lowering the planetary boundary layer. Finally, an optimal cooling performance for super cool broadband radiative coolers can be achieved in lower humidity conditions, as their efficiency decreases with increased humidity. Though needing further investigation, these findings of nano-science-based super cool broadband materials offer valuable insights for policymakers and urban planners addressing thermal management in densely packed tropical urban environments.
      PubDate: 2024-07-10
       
  • Does back cooling improve human thermal comfort in warm environments' A
           device for heat conduction by the semiconductor Peltier effect

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      Abstract: Abstract The hot environment and the metabolic heat of commuting in summer caused individual overheating and intense thermal discomfort. Local cooling presents huge potential for optimizing thermal comfort. This study investigates the performance of a back cooling device, based on the semiconductor Peltier effect, in improving thermal comfort after summer commuting. We studied one case without cooling, and three cases with surface temperatures of the cooling device of 29, 27, and 25 °C using a simulated summer commute at a moderate activity level. The results showed that thermal sensation, perceived sweating rate, and skin temperature decreased markedly in the cooling cases compared to the non-cooling case, with the changes being most notable in the lower back, in contact with the cooling device. The decrease in overall thermal sensation and mean skin temperature was approximately 0.52 score and 0.31 °C on average, respectively, with a 1.71 score increase in overall thermal comfort. We contend that the surface temperature of local contact cooling devices should not be lower than 22 °C to minimize local overcooling. Back cooling devices present a huge potential for building energy-savings at ambient air temperature exceeding 30 °C. Moreover, the functional paradigms for individual comfort predict improved comfort performance in future applications. This study contributes to the understanding on the well-being and physiological recovery of individuals after a summer commuting.
      PubDate: 2024-07-04
       
  • Airflow Analytical Toolkit (AAT): A MATLAB-based analyzer for holistic
           studies on the dynamic characteristics of airflows

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      Abstract: Abstract The dynamic characteristics of different airflows on micro-scales have been explored from many perspectives since the late 1970s. On the one hand, most analytical tools and research subjects in previous contributions vary significantly: some only focus on fluctuant velocity features, while others pay attention to directional features. On the other hand, despite the wide variety of existing analytical methods, they are not systematically classified and organized. This paper aims to establish a system including state-of-the-art tools for airflow analysis and to further design a holistic toolkit named Airflow Analytical Toolkit (AAT). The AAT contains two tools, responsible for analyzing the velocity and direction characteristics of airflows, each of which is integrated with multiple analytical modules. To assess the performance of the developed toolkit, we further take typical natural and mechanical winds as cases to show its excellent analytical capability. With the help of this toolkit, the great differences in velocity and directional characteristics among different airflows are identified. The comparative results reveal that not only is the velocity of natural wind more fluctuating than that of mechanical wind, but its incoming flow direction is also more varying. The AAT, serving as a powerful and user-friendly instrument, will hopefully offer great convenience in data analysis and guidance for a deeper understanding of the dynamic characteristics of airflows, and further remedy the gap in airflow analytical tools.
      PubDate: 2024-07-01
       
  • A performance prediction method for on-site chillers based on dynamic
           graph convolutional network enhanced by association rules

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      Abstract: Abstract Accurately predicting the chiller coefficient of performance (COP) is essential for improving the energy efficiency of heating, ventilation, and air conditioning (HVAC) systems, significantly contributing to energy conservation in buildings. Traditional performance prediction methods often overlook the dynamic interaction among sensor variables and face challenges in using extensive historical data efficiently, which impedes accurate predictions. To overcome these challenges, this paper proposes an innovative on-site chiller performance prediction method employing a dynamic graph convolutional network (GCN) enhanced by association rules. The distinctive feature of this method is constructing an association graph bank containing static graphs in each operating mode by mining the association rules between various sensor variables in historical operating data. A real-time graph is created by analyzing the correlation between various sensor variables in the current operating data. This graph is fused online with the static graph in the current operating mode to obtain a dynamic graph used for feature extraction and training of GCN. The effectiveness of this method has been empirically confirmed through the operational data of an actual building chiller system. Comparative analysis with state-of-the-art methods highlights the superior performance of the proposed method.
      PubDate: 2024-07-01
       
  • Energy flexibility and resilience analysis of demand-side energy
           efficiency measures within existing residential houses during cold wave
           event

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      Abstract: Abstract Using the behind-meter data, this study applied a comparison and optimization-based framework to evaluate the energy flexibility and resilience of distributed energy resources within existing houses during cold wave event. Comparative analysis demonstrates the effectiveness of high envelope insulation level in improving energy resilience, identifies impacts of distributed energy resources on variations of household electricity demand. Specifically, a 14.6% reduction in the median value of the normalized load of building group with low U-values, implementations of cogeneration system effectively suppressed variations of electricity load. Dynamic energy performances of on-site generators are evaluated based on high resolution data, energy flexibility of domestic hot water and thermostatically controlled loads were investigated through built demand response model. Results reveal that electrifying hot water demand offers additional power flexibility, the integration of fuel cell cogeneration system has proven to be an efficient energy resource, enabling on-site generation of both electricity and hot water, substantially reducing grid import. The extreme cold event resulted in significant spikes in space heating power consumption. The optimization results demonstrate that reducing the indoor setpoint temperature effectively decreases daily power consumption by approximately 5.0% per degree Celsius. These findings help acquire better understanding of interconnections between energy efficiency and resilience of residential energy-efficient measures.
      PubDate: 2024-07-01
       
  • Assessing impact of intermittent window opening strategies on
           pathogen-laden droplet dispersion in a coach bus

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      Abstract: Abstract Opening windows in coach buses is a practical approach to improving natural ventilation and mitigating infection risk (IR). Due to human behavior and weather conditions, the intermittent window opening strategy (IWOS) is a more common practice than keeping windows constantly open. Despite its prevalence, there are no studies exploring IWOS specifically in vehicles. We employed indoor-outdoor coupled CFD simulations to assess the effects of various IWOS on pathogen-laden droplet (PLD) dispersion and IR in a coach bus that occurred a COVID-19 outbreak in Hunan, China. Results reveal that after ventilating through two skylights for 600–1800 s, opening front and rear windows (FW+RW) or FW with a wind catcher (FW+WCH) for just 40 s can reduce PLD concentration (Cave) to 5% of its initial level and the intake fraction of the infector’s neighbor (IFn) drops by 95%. Upon closing FW+RW or FW+WCH, Cave and IFn take over 580 s to return to the pre-opening level. Moreover, intermittent FW opening halves Cave and IFn within 7 min, but leads to rapid increases upon window closure. Therefore, opening FW+RW and FW+WCH intermittently have pronounced impacts on indoor PLD concentration and are applicable approaches to control respiratory disease transmission in vehicles. According to the inhaled viral dose, it is recommended to open windows when driving time is over 12 minutes to reduce infection risk. In scenarios like epidemiological surveys and risk assessments, where assessing passenger infection risk is vital, some behaviors of opening windows cannot be overlooked and necessitate extra attention.
      PubDate: 2024-07-01
       
  • Enhancing heavy gas capture in confined spaces through ventilation control
           technology

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      Abstract: Abstract Gas leakage accidents occur frequently in confined spaces, and heavy gases with a relative density greater than 1.15 among hazardous gases and greenhouse gases are commonly stored in confined spaces. However, atmospheric pollutant emission standards are becoming more stringent, and it is essential to remove heavy gas after accidents while reducing emissions to the atmosphere. This study proposes using a heavy gas collection tank (HGCT) to safeguard the internal environment and minimize emissions to the atmosphere. The capture efficiencies applicable to heavy-gas environments under different ventilation strategies are derived. This research analyzes the impact of the exhaust rate, leakage rate, density of heavy gas, and air supply modes on the indoor concentration distribution. The results demonstrate that the mass flow rate of heavy gas into the exhaust is positively correlated with the exhaust rate, but the gas from the exhaust system contains more air. The exhaust rate should be greater than four times the space volume per hour; otherwise, heavy gas above 1000 ppm accumulates to a height of 0.67 m at ground level. Finally, attachment ventilation as make-up air helps to reduce upstream heavy gas accumulation and reduces the extension of heavy gas along the room width. Combining an HGCT with floor slope and attachment ventilation achieves an efficiency of 96.28%. This study provides valuable insights and references for preventing hazardous heavy gas leakage.
      PubDate: 2024-06-27
       
  • Overcoming fixation: Shaping BPS to fit into design practice

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      PubDate: 2024-06-08
      DOI: 10.1007/s12273-024-1146-1
       
 
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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted by number of followers
Review of Economics and Statistics     Hybrid Journal   (Followers: 321)
Statistics in Medicine     Hybrid Journal   (Followers: 171)
Journal of Econometrics     Hybrid Journal   (Followers: 85)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 79, SJR: 3.746, CiteScore: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 53)
Biometrics     Hybrid Journal   (Followers: 51)
Sociological Methods & Research     Hybrid Journal   (Followers: 49)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 43)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 42, SJR: 3.664, CiteScore: 2)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 39)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 36)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 35)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 35)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 31)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 28)
The American Statistician     Full-text available via subscription   (Followers: 27)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 24)
Journal of Applied Statistics     Hybrid Journal   (Followers: 22)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Forecasting     Hybrid Journal   (Followers: 21)
Statistical Modelling     Hybrid Journal   (Followers: 19)
Journal of Statistical Software     Open Access   (Followers: 19, SJR: 13.802, CiteScore: 16)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 18)
Computational Statistics     Hybrid Journal   (Followers: 17)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 17)
Risk Management     Hybrid Journal   (Followers: 16)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 15)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 12)
International Statistical Review     Hybrid Journal   (Followers: 12)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 10)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 10)
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Stata Journal     Full-text available via subscription   (Followers: 10)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 9)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Handbook of Statistics     Full-text available via subscription   (Followers: 9)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 9)
Current Research in Biostatistics     Open Access   (Followers: 9)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 8)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 8)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Law, Probability and Risk     Hybrid Journal   (Followers: 8)
Argumentation et analyse du discours     Open Access   (Followers: 8)
Research Synthesis Methods     Hybrid Journal   (Followers: 8)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 7)
Queueing Systems     Hybrid Journal   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
Biometrical Journal     Hybrid Journal   (Followers: 6)
Significance     Hybrid Journal   (Followers: 6)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Lifetime Data Analysis     Hybrid Journal   (Followers: 5)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Statistical Methods and Applications     Hybrid Journal   (Followers: 5)
CHANCE     Hybrid Journal   (Followers: 5)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Metrika     Hybrid Journal   (Followers: 4)
Statistical Papers     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 4)
TEST     Hybrid Journal   (Followers: 3)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 3)
Sankhya A     Hybrid Journal   (Followers: 3)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Extremes     Hybrid Journal   (Followers: 2)
Optimization Letters     Hybrid Journal   (Followers: 2)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
Building Simulation     Hybrid Journal   (Followers: 2)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Sequential Analysis: Design Methods and Applications     Hybrid Journal   (Followers: 1)
Journal of the Korean Statistical Society     Hybrid Journal   (Followers: 1)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)
Statistics and Economics     Open Access  
Review of Socionetwork Strategies     Hybrid Journal  
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  

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Heriot-Watt University
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Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


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