scholarly journals Models for Prediction of Daily Mean Indoor Temperature and Relative Humidity: Education Building in Izmir, Turkey

2011 ◽  
Vol 21 (6) ◽  
pp. 772-781 ◽  
Author(s):  
Türkan Göksal Özbalta ◽  
Alper Sezer ◽  
Yusuf Yıldız
Keyword(s):  
Relative Humidity ◽  
Thermal Comfort ◽  
Mean Squared Error ◽  
System Size ◽  
Climatic Conditions ◽  
Ann Model ◽  
Data Logger ◽  
Indoor Temperature ◽  
Indoor Thermal Comfort ◽  
Comfort Parameters

In this research, several models were developed to forecast the daily mean indoor temperature (IT) and relative humidity values in an education building in Izmir, Turkey. The city is located at a hot–humid climatic region. In order to forecast the IT and internal relative humidity (IRH) parameters in the building, a number of artificial neural networks (ANN) models were trained and tested with a dataset including outdoor climatic conditions, day of year and indoor thermal comfort parameters. The indoor thermal comfort parameters, namely, IT and IRH values between 6 June and 21 September 2009 were collected via HOBO data logger. Fraction of variance ( R2) and root-mean squared error values calculated by the use of the outputs of different ANN architectures were compared. Moreover, several multiple regression models were developed to question their performance in comparison with those of ANNs. The results showed that an ANN model trained with inconsiderable amount of data was successful in the prediction of IT and IRH parameters in education buildings. It should be emphasized that this model can be benefited in the prediction of indoor thermal comfort conditions, energy requirements, and heating, ventilating and air conditioning system size.

scholarly journals Study and Application of Industrial Thermal Comfort Parameters by Using Bayesian Inference Techniques

2021 ◽  
Vol 11 (24) ◽  
pp. 11979
Author(s):  
Patricia I. Benito ◽  
Miguel A. Sebastián ◽  
Cristina González-Gaya
Keyword(s):  
Bayesian Networks ◽  
Thermal Comfort ◽  
Interior Design ◽  
Intelligent Systems ◽  
Design Parameters ◽  
Data Sets ◽  
Work Time ◽  
Indoor Temperature ◽  
Inference Techniques ◽  
Comfort Parameters

This paper focuses on the use of Bayesian networks for the industrial thermal comfort issue, specifically in industries in Northern Argentina. Mined data sets that are analyzed and exploited with WEKA and ELVIRA tools are discussed. Thus, networks giving the predictive value of thermal comfort for different pairs of indoor temperature and humidity values according to activity, time, and season, verified in the workplace, were obtained. The results obtained were compared to other statistical models of linear regression used for thermal comfort, thus observing that comfort temperature values are within a same range, yet the network offered more information since a range of options for interior design parameters (temperature/relative humidity) was offered for different work, time, and season conditions. Additionally, if compared with static models of heat exchange, the contribution of Bayesian networks is noted when considering a context of actual operability and adaptability conditions to the environment, which is promising for developing thermal comfort intelligent systems, especially for the development of sustainable settings within the Industry 4.0 paradigm.

Development of a Neural Statistical Model for the Relative Humidity Levels Prediction in the Region of Rabat-Kenitra (Morocco)

2021 ◽  
Author(s):  
Kaoutar Elazhari ◽  
Badreddine ABDALLAOUI ◽  
Ali DEHBI ◽  
Abdelaziz ABDALLAOUI ◽  
Hamid ZINEDDINE
Keyword(s):  
Relative Humidity ◽  
Meteorological Parameters ◽  
Transfer Functions ◽  
Mean Squared Error ◽  
Neural Model ◽  
Ann Model ◽  
History Of ◽  
Artificial Neural Network Ann ◽  
Hidden Layer ◽  
Mlp Model

Abstract This work provides the development of a powerful artificial neural network (ANN) model, for the prediction of relative humidity levels, using other meteorological parameters of the Rabat-Kenitra region. The treatment was applied to a database containing a daily history of five meteorological parameters of 9 stations covering this region for a period from 1979 to mid-2014. We have shown that for the prediction of relative humidity in this region, the best performing three-layer ANN (input, hidden and output) mathematical model is the multi-layer perceptron (MLP) model. This neural model using the Levenberg-Marquard algorithm, having an architecture [5-11-1] and the transfer functions Tansig in the hidden layer and Purelin in the output layer was able to estimate values for relative humidity very close to those observed. Indeed, this was affirmed by a low mean squared error (MSE) and a fairly high correlation coefficient (R), compared to the statistical indicators relating to the other models developed as part of this study.

Research and Investigation on Present Energy Conservation in Northen Rural Houses

2012 ◽  
Vol 608-609 ◽  
pp. 1709-1715
Author(s):  
Gang Li ◽  
Zhen Li ◽  
Guo Hui Feng ◽  
Qian Liu ◽  
Qian Wang
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Thermal Comfort ◽  
Rural Areas ◽  
Field Investigation ◽  
Temperature Uniformity ◽  
Water Heater ◽  
Indoor Temperature ◽  
Indoor Thermal Comfort ◽  
Effective Use

More researchers pay attention to energy consumption and conservation in cities before .This paper finds out the current structure of rural houses, the type and utilizing situation of energy and the typical heating methods in current northen rural areas of china, and points out exist problems in these aspects by Field investigation and analysis.The author proposes that insulation layers of external walls and windows are preferred measures of energy consrevation and the additional southen sunspace is also a highly effective method in northen rural areas; the hanging kang has a much better performance than landing kang which should be strongly recommended,and a new kang with PCM helps to save fuel consumption, increase temperature uniformity of kang surface , stabilize indoor temperature and improve indoor thermal comfort,which should be paid enough attention; the effective use of excess heat in solar energy water heater should be paid sufficient attention,and biogas should be strongly advocated and properly guided.

scholarly journals Towards an Adaptation of Efficient Passive Design for Thermal Comfort Buildings

2021 ◽  
Vol 13 (17) ◽  
pp. 9570
Author(s):  
Ghada Elshafei ◽  
Silvia Vilcekova ◽  
Martina Zelenakova ◽  
Abdelazim M. Negm
Keyword(s):  
Wind Speed ◽  
Thermal Comfort ◽  
Natural Ventilation ◽  
Meteorological Data ◽  
Green Building ◽  
Climatic Conditions ◽  
Indoor Climate ◽  
Indoor Thermal Comfort ◽  
Passive Design ◽  
Different Shapes

This paper discusses the effect of various climatic conditions that pertain to passive design measurements and their relationships with building configurations to improve indoor thermal comfort based on the different climate zones in Egypt to support Egypt’s sustainability agenda 2030. We find the most appropriate design settings that can increase the indoor thermal comfort, such as building orientation and shape. These settings can be modeled using DesignBuilder software combined with Egyptian meteorological data. This software is used accompanied by computational fluid dynamics to numerically assess the outcomes of different changes, by simulating indoor climate condition factors such as wind speed and temperature. Natural ventilation simulations were performed for four different shapes to create comprehensive dataset scenarios covering a general range of shapes and orientations. Seven scenarios were optimized to put forward a series of building bioclimatic design approaches for the different characteristic regions. The results indicated that the temperature decreased by about 3.2%, and the air velocity increased within the study domain by 200% in the best and the worst cases, respectively, of the four different shapes. The results of the study gave evidence that the configuration of buildings, direction, and wind speed are very important factors for defining the natural ventilation within these domains to support the green building concept and the sustainable design for a better lifestyle.

Cool roof for improving building energy efficiency in moderate climates

2020 ◽  
pp. 80-87
Author(s):  
Salem Algarni
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Thermal Comfort ◽  
Building Energy ◽  
Climatic Conditions ◽  
Building Energy Efficiency ◽  
Test Room ◽  
Cool Roof ◽  
Indoor Thermal Comfort ◽  
The Impact

At present, maintaining the thermal comfort in buildings is a significant challenge faced by majority of the developing countries. In this study, the impact of the cool roof on cooling and heating loads of buildings located in moderate climates is studied. The study presents a detailed simulation of a test room to estimate the impact of the cool roof on building performance in Abha, Saudi Arabia. Input parameters, such as building thermal properties, operation schedule, orientation, and climatic conditions were implemented. Furthermore, the experimental study of the test room was conducted at the main campus of King Khalid University, Abha. The results showed that the use of the cool roof reduced the energy consumption required for building cooling by approximately 52.5 kWh/m2/year; whereas the maximum increase in energy consumption owing to the winter heating is about 3.1 kWh/m2/year. The indoor thermal comfort was improved because the maximum indoor temperature decreased by 2.7 °C. The study concludes that the cool roof is an effective method to improve the indoor thermal comfort and reduce building energy consumption in Abha, Saudi Arabia and places with similar climatic conditions.

DETERMINING INDOOR THERMAL COMFORT CONDITION OF KUTAI HOUSE THROUGH BIOCLIMATIC ANALYSIS

2020 ◽  
Vol 7 (1) ◽  
pp. 151
Author(s):  
Mohamad Zaki Yusof ◽  
Husna Afifi ◽  
Suzana Said
Keyword(s):  
Thermal Comfort ◽  
Quantitative Research ◽  
Building Materials ◽  
Harmful Effect ◽  
Comfort Zone ◽  
Indoor Thermal Comfort ◽  
Comfort Parameters ◽  
Comfort Condition ◽  
Palm Leave

Conserving the traditional Malay Kutai houses as our building heritage is important before they perish due to neglection. For maintenance purposes, the palm leave roofs are replaced with more durable materials such as zinc or onduline roof sheets. Replacing the building materials without understanding their properties could cause harmful effect on the indoor thermal comfort. Previously, there is minimal quantitative research done to prove that the traditional Malay house is thermally comfortable. Thus, this research intends to measure the thermal comfort parameters of Kutai house and analyse the result using a bioclimatic chart. The results revealed that the average thermal comfort conditions of the Kutai houses are within the boundaries of comfort zone as recommended for natural ventilated buildings despite using zinc roof.

Indoor Thermal Comfort and its Effect on Building Energy Consumption

2011 ◽  
Vol 71-78 ◽  
pp. 3516-3519 ◽  
Author(s):  
Xue Bin Yang ◽  
De Fa Sun ◽  
Xiang Jiang Zhou ◽  
Ling Ling Cai ◽  
Ying Ji
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Energy Savings ◽  
Thermal Sensation ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Predicted Mean Vote ◽  
Indoor Thermal Comfort ◽  
Air Speed ◽  
Comfort Parameters

The indoor thermal comfort and its effect on building energy consumption have been conducted by literature reviewing in the study. The linear relationship and the related formulations of various thermal comfort indictors are summarized to evaluate the human comfort. These parameters include predicted mean vote, thermal sensation vote, adaptive predicted mean vote, thermal comfort vote, and thermal acceptability. Under different climatic or regional conditions, both relationships between thermal comfort parameters and indoor or outdoor air temperature, and between comfort vote and another comfort parameter, are summarized for their definition and formulation. The comfort parameters such as local air speed, neutral temperature, PMV set point and others will directly impact the building energy usage. It is of significance to seek an optimal alternative for energy savings.

scholarly journals Monitoring and Characterization of the Thermal Environment of Special-Use Buildings

2020 ◽  
Vol 30 (2) ◽  
pp. 81-95
Author(s):  
Luis Octavio González-Salcedo ◽  
Francisco Adolfo Marmolejo-Villanueva ◽  
Diego Alexander Quiroz-Morán ◽  
Karen Andrea Ospina-Trujillo ◽  
Ricardo Malagón Manrique
Keyword(s):  
Relative Humidity ◽  
Thermal Comfort ◽  
Thermal Environment ◽  
Well Being ◽  
Temperature Behavior ◽  
Time Range ◽  
Indoor Temperature ◽  
Temperature Index ◽  
Animal Housing ◽  
Climatic Environment

One branch of civil engineering is construction engineering, geared primarily towards humans. However, this branch also includes buildings designed for animals called animal housing (dwellings or shelters or corrals). Like physical spaces for humans, animal housing requires sufficient conditions for an occupation that guarantees the performance of indoor activities pleasantly and comfortably. One of the parameters for characterizing and classifying the penned livestock farm environment is the thermal comfort range that reflects the indoor temperature behavior for animal welfare, together with other climatic elements such as relative humidity. This research carried out fieldwork to evaluate the thermal environment of pigpens located in Palmira, Colombia, in the time range between 07:00 and 21:00 hours. Using thermometers and hygrometers, we recorded and analyzed the indoor temperature behavior within the thermal comfort range associated with relative humidity for the well-being of pigs. The records made it possible to calculate humidity and temperature index and humidity and black globe temperature index. According to the results, the pig rearing environment was classified as critical for breeding pigs and newborn piglets, suggesting the use of controlled environment systems in pig facilities. In conclusion, monitoring the climatic environment by criteria that combine air temperature and relative humidity is a useful tool for planning pig facilities.

scholarly journals Simplified Numerical Model for Analyzing the Effects of the Urban Heat Island upon Low-Rise Buildings by Using a Free-License Thermal Simulation Program

Urban Science ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 30
Author(s):  
Ivan Oropeza-Perez
Keyword(s):  
Numerical Model ◽  
Thermal Comfort ◽  
Urban Heat Island ◽  
Thermal Simulation ◽  
Urban Heat Island Effect ◽  
Heat Island ◽  
Indoor Temperature ◽  
Indoor Thermal Comfort ◽  
Island Effect ◽  
Urban Heat

In this document, the thermal effect of a heat island upon an urban area and its surrounding low-rise buildings is analyzed with the building thermal simulation program EnergyPlus and its EnergyPlus weather files (EPW). By using a top-down approach, a simplified numerical model is developed, which is used to simulate the urban heat island effect, and that deals with the performance of various cooling methods according to the physical, urban, and climatic characteristics of the urban site. The calculated results of outdoor air temperature considering the heat island effect achieve good agreement with the already-published results. Then, different methods of shading and cooling, varying physical values such as urban thermal transmittance, and urban thermal absorption are applied in order to find the most influencing feature upon the indoor temperature drop into a simulation loop. With this, it is found that a maximum average decrease of indoor temperature of 5.1 °C can be achieved. Furthermore, carrying out a sensitivity analysis, it is found that the albedo of both building surface and urban layout is the most influencing parameter onto the indoor thermal comfort. With this, it is expected to have a reliable model that helps to understand the urban heat island effect in a simple and cheap manner and in terms of the indoor thermal comfort of its surrounding buildings.

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