1,721,073 research outputs found
Dataset for "The importance of thermal modelling and prototyping in transitional shelter design"
No full textThe dataset describes monitored environmental conditions of unoccupied shelter prototypes in the refugee camp of Azraq (Jordan). The monitored environmental conditions are temperature and relative humidity every hour both outdoors and indoors. The 7 shelter prototypes include a control shelter without modifications and 6 variants implementing a range of passive measures (increased ventilation, insulation, thermal mass and/or roof shades)
Dataset for "Mitigation versus adaptation: Does insulating buildings increase overheating risk?"
No full textDataset for journal article "Mitigation versus adaptation: Does insulating buildings increase overheating risk?". The dataset contains the summary simulation results of the building simulation parametric study (EnergyPlus v8.9) for overheating, natural ventilation and space heating demand (annual simulations with yearly indicators). The dataset contains the performance of all the buildings that combine the following parameters: dwelling types, insulation levels, thermal mass, window sizes, shading strategies, internal gains, window opening rubrics, algorithms, infiltration levels, building orientations and locations.Parametric building simulations in EnergyPlus v8.9.See `readme.txt`.See `readme.txt`.See `readme.txt`
Dataset for "Thermal comfort standards in the Middle East: Current and future challenges"
No full textThis dataset consists of 1,101 valid thermal comfort votes and 787 incomplete thermal comfort records that were collected between 2017 and 2019, during summer and winter. Each record includes measurement of four physical parameters affecting thermal sensation: air temperature (Ta), mean radiant temperature (Tr), relative humidity (RH), and air movement speed (Va). The measurements were coincident with the time of each individual survey of thermal sensation vote (TSV), to be compared to each other. Data were collected in 31 air-conditioned buildings in Amman, Doha, Dubai, and Jeddah. Measurements were done in four occupancy types: offices, schools, hospital, and mosques.Four physical parameters affecting thermal sensation – Air Temperature (°C), Mean Radiant Temperature (°C), Relative Humidity (%), Air Movement Speed (m s⁻¹) – were measured in all surveyed buildings coincident with the time of each individual survey.Data were collected using the following instruments:
1. SWEMA and HD 32.3, both compliant with ISO 7726 and ISO 7730 standards.
2. Extech HT200 heat stress wet bulb globe thermometer, used to monitor Air Temperature, Mean Radiant Temperature, Relative Humidity.
3. ATP uni-directional hot wire thermo-anemometer, used to simultaneously measure Air Movement Speed
The effects of thermal mass and air-conditioning on summer temperature thermal comfort and occupant behaviour in homes
Full text linkThe data collected during the longitudinal monitoring and survey campaign of the indoor environment, thermal comfort and occupant adaptive behavior during the summer season in Italian residential settings (Csa climate, Catania city). The campaign was completed in the period between 07/06/2019 and 19/09/2019, which includes the five heat health warnings and two heatwaves that occurred in the summer of 2019 in Catania, Italy.
The data collected and deposited here was used for the PhD thesis of Elisabetta Maria Patane': The effects of thermal mass and air-conditioning on summer temperature thermal comfort and occupant behaviour in homes.Longitudinal monitoring for air temperature, relative humidity, occupancy, and window and air-conditioning usage were employed. In addition, spot measurements were used to record air temperature, globe temperature, air velocity and relative humidity used for the thermal comfort analysis. All measurements were completed in the period between 07/06/2019 and 19/09/2019. The indoor dry bulb temperature (Ta, °C) and relative humidity (RH, %) were measured every 20 minutes with IButtons sensors. The sensors were placed in at least one living room and bedroom per flat and for households with high number of occupants, additional rooms were included such as a second or third bedrooms a dining, living and studio rooms. The air conditioning outlet temperature was recorded by IButton sensor, sampling every 20 minutes. Two units were targeted per home, one in the living-room or kitchen and the other one in the bedroom if available. It was placed on the horizontal louvre of the unit. The occupancy was recorded in 12 homes via HC-SR501 PIR infrared motion sensors, sampling each 5 seconds. The window opening state was recorded in 24 windows in 12 flats, for 6 days each, from the 25/08/2019 to the 19/09/2019. 8 state sensors of the HOBO UX90-001 type were employed. The state sensors were installed on openings that 62 inhabitants used most often when ventilating the dwelling. In order to monitor as many windows as possible, the 8 sensors were moved every 7 days from one flat to another one. The preferred windows were those in living or dining rooms and bedrooms.
The spot measurements were carried out with 8 heat stress meters; Extech HT30 and HT200 models; and the Testo 0560 4053 Stick Thermo-anemometer. The measurements were taken from 15 to 25 minutes while the occupants filled out the questionnaire in the room. The heat-stress meters were provided to eight families to undertake the measurements by themselves. The questionnaire included the protocol of measurements translated in Italian on the first page.
Thermal comfort and occupant behavior were monitored with a questionnaire administrated by the researcher. The procedure for this consisted of each occupant filling in the questions in a short time frame. All the questions were designed to be completed in 5 minutes in order to reduce the risk of participants leaving the study because of fatigue. The total number of questions is twenty-three, they are divided according to: contextual variables, thermal comfort votes, windows, shading and air-conditioning usage, spot measurements of indoor air temperature, relative humidity, mean radiant temperature and air velocity.
All instruments and measurements protocol were carried out in agreement with the following standards: UNI EN ISO 7726:2001, UNI EN ISO 7730:2005. The thermal comfort survey are based on the 7-point scale thermal sensation votes, 5-points of thermal preference, 2-points of thermal acceptability in ASHRAE 55-2020UNI and EN ISO 16798:2019.The first step was to create one file for each room; therefore, the different time-series files were concatenated according to the datetime index and the type of data. The second step was to find the outliers in the temperature datasets by checking the maximum and minimum values in each room.
Then, two datasets for indoor room environmental conditions were created, one with a sub-hourly time-step which is used to record the state of air-conditioning, and another one with an hourly time-step which was created by resampling the readings and taking the mean of the values.
The air-conditioning unit time-series were further manipulated in order to assign the “state” of the machine: switched on (1) or off (0). The difference between two consecutives sub-hourly outlet temperature readings was computed. It was assumed that if the difference was more than ± 5 °C, the air-conditioning was switched on or off. Whenever available, the self-reported data was also used to validate the air-conditioning status. The window state and the occupancy recordings were reported as collection of timestamps of the new position and occupant movement. The final data-set was generated for each variable by concatenating each room as a column and using the same time-series.
The answers to the thermal comfort section of the questionnaire were translated into categorical variables according to the ANSI/ASHRAE Standard 55-2020. The metabolic rate (MET) and clothing insulation values (Icl) were estimated using the “Table 5.2.1.2 Metabolic Rates for Typical Tasks” and “Table 5.2.2.2.A - Clothing Insulation Icl Values for Typical Ensembles” in the ASHRAE 55 standard. The position of the window and shadings is either open or closed, and the status of the air-conditioning unit is switched on or off. The open and on cases are recorded as 1 in the excel sheet and closed or off as 0. The duration is expressed as the number of hours and minutes since the last state or position change of the system. This information was recorded as it was in the excel sheet. It is important to stress that the questionnaires reported local time reference. The precision of the self-reported duration of the state was assumed to be higher whenever the reference was less than 24 hours; in other cases, it was created a single category for duration which specifies a minimum of a day of duration of the current state. The “trigger” or “driver” is the reason behind the occupant choice for the concurrent position or state of the window, blind and AC systems. This is an open ended question because the answer could involve any number of factors, or unforeseen events can occur
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dataset for Thermal Comfort Survey in Djibouti
No full textThe data was collected through a thermal comfort survey in Djibouti in Markazi refugee camp. The data includes key indoor environmental parameters such as temperature (wet bulb temp, air temp, glob temp and operative temp), air velocity and relative humidity. Moreover, the dataset contains information about the metabolic rate and Clo value, TSV and TPV of the survey participants.The data was collected via a thermal comfort survey, including spot measurements of environmental parameters, the surveys were conducted directly in the Arabic language. The families were selected randomly. Given the range of backgrounds, intra-household dynamics, education and literacy levels, all surveys were administered through an interview. A repeated transverse survey method was used to collect the data. The thermal comfort scales were the standard 7-point ASHRAE thermal sensation scale and the 5-point thermal preference scal
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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