Academic literature on the topic 'Predicted Mean Vote (PMV)'
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Journal articles on the topic "Predicted Mean Vote (PMV)"
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Liu, Jing, and Ting Cai. "Development Adaptive Predicted Mean Vote (aPMV) Model for Naturally Ventilated Buildings in Zunyi, China." E3S Web of Conferences 136 (2019): 03029. http://dx.doi.org/10.1051/e3sconf/201913603029.
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Fanger’s predicted mean vote (PMV) model which is as a result of climate-chamber-based experiments is a good tool to evaluate indoor thermal comfort for air-conditioned buildings in global wide. However, PMV model has defect of predicting people’s real thermal sensation under non-air-conditioned conditions. It is reflected by the significant discrepancies between PMV values and Actual Mean Vote (AMV) values. The aim of this study is to develop an Adaptive Predicted Mean Vote (aPMV) Model on the basis of ‘black box’ theory considering occupants’ adaptations to improve prediction performance. A field study was carried out in naturally ventilated educational buildings in Zunyi, China. The developed aPMV model produces more reliable results and shows better prediction performance, comparing with values predicted by PMV model. It indicates that aPMV model is of great benefit to connect traditional PMV model and adaptive comfort model and consequently to provide guidance on building design, operation and maintenance, which contribute to achieve building energy conservation and emission reduction target.
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Lee, Boram, Jeonghoon Kim, KyooSang Kim, Hyejin Kim, and Kiyoung Lee. "Assessment of Thermal Comfort in a General Hospital in Winter Using Predicted Mean Vote (PMV)." Korean Journal of Environmental Health Sciences 41, no. 6 (December 28, 2015): 389–96. http://dx.doi.org/10.5668/jehs.2015.41.6.389.
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Susanti, Lusi, and Nike Aulia. "Evaluasi Kenyamanan Termal Ruang Sekolah SMA Negeri di Kota Padang." Jurnal Optimasi Sistem Industri 12, no. 1 (April 26, 2016): 310. http://dx.doi.org/10.25077/josi.v12.n1.p310-316.2013.
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This research aims to determine thermal conditions and sensation of thermal comfort in classrooms of high schools in Padang. This study was conducted in 11 State Senior High School (SMA) represented 11 districts in Padang. About 10% of total student body in each schools were participated in this study to vote thermal comfort questioners. To determine thermal comfort level in this study, PMV (Predicted mean Vote) and PPD (Predicted Percentage of dissatisfied) method were used according to standard of thermal comfort in ASHRAE 55-2005 and ISO 7730. PMV method is used to determine scope of situation in the environment that scaled from +3 for very hot until -3 for very cold, and PPD is a method to calculate the number of human (in percentage) dissatisfied with the environment. Calculated PMV and PPD were compared with PMV and PPD resulted from individual vote from questionnaires. Result showed that in general, thermal conditions in classrooms had air temperature and radiant temperature from 27oC – 30oC, air humidity from 68% - 80%, and wind speed of 0 m/s. Calculated PMV from this condition were ranging from +1 slightly warm) until +2 (warm) while PPD calculated greater than 20%. Compared with calculated PMV and PPD values, the individual vote showed values from +0,5 (neutral) until +1 (slightly warm) while PPD values of individual vote greater than 20% except for SMA 2 and SMA 11 Padang. It is concluded that improvements of indoor thermal conditions have to make inside classrooms as well as landscape outside in order to improve thermal comfort level of students during learning and teaching.Keywords: Thermal Comfort, PMV (Predicted Mean Vote), PPD (Predicted Percentage ofDissatisfied), climatic factors, SMA
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Kajtar, Laszlo, Jozsef Nyers, Janos Szabo, Laszlo Ketskemety, Levente Herczeg, Anita Leitner, and Balazs Bokor. "Objective and subjective thermal comfort evaluation in Hungary." Thermal Science 21, no. 3 (2017): 1409–18. http://dx.doi.org/10.2298/tsci151005095k.
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Thermal comfort sensation can be predicted in the most exact way based on Fanger?s predicted mean vote (PMV) model. This evaluation method takes all the six influencing factors into consideration: air temperature and humidity, air velocity, mean radiant temperature of surrounding surfaces, clothing insulation, and occupants? activities. Fanger?s PMV method was developed for temperate climate and European people, with the participation of university students as subjects. Many researchers had investigated its validity in different geographic locations (i. e. climatic conditions, people) and under non-laboratory circumstances. The results were summarised by van Hoof which had been published in the scientific references. The articles gave us the idea to elaborate the former measurement results. During the last decades thermal comfort was evaluated by our research team using subjective scientific questionnaires and applying the objective Fanger?s model in several office buildings in Hungary. The relation between the PMV and actual mean vote values were analysed based on these results. Investigations were carried out under steady-state conditions in winter time. We performed objective thermal comfort evaluations based on instrumental measurements using the PMV theory. Parallel to this we assessed the subjective thermal sensation using scientific questionnaires. The mathematical relationship between the actual mean vote and PMV was defined according to the evaluated thermal environment: AMV = PMV + 0.275, (arg. ?1.7 ? PMV ? +0.5).
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Udrea, Ioana, Cristiana Croitoru, Ilinca Nastase, Angel Dogeanu, and Viorel Badescu. "Thermal Comfort Analyses in Naturally Ventilated Buildings." Mathematical Modelling in Civil Engineering 10, no. 3 (September 1, 2014): 60–66. http://dx.doi.org/10.2478/mmce-2014-0016.
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Abstract Global current requirement is to increase thermal comfort in residential and non residential buildings. A field survey was accomplished in a naturally ventilated university classroom in Bucharest, Romania, in winter and spring. Comfort parameters were measured and comfort questionnaires were distributed to the students. Questions were related to thermal sensation of the occupants. This paper compares the experimental results with the occupant’s response. It analyzes the variation of Predicted Mean Vote (PMV) and Predicted Percent of Dissatisfied (PPD) with temperature. It is made a comparison between PMV and thermal sensation vote. The results show PMV values different from Thermal Sensation Vote (TSV) values which means there is a poor approximation of indoor comfort. In conclusion the comfort parameters should be reviewed and should be proposed other evaluation methods. Possible explanations are discussed in relation with thermal regime of the buildings.
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Broday, Evandro Eduardo, Jéferson Aparecido Moreto, Antonio Augusto de Paula Xavier, and Reginaldo de Oliveira. "The approximation between thermal sensation votes (TSV) and predicted mean vote (PMV): A comparative analysis." International Journal of Industrial Ergonomics 69 (January 2019): 1–8. http://dx.doi.org/10.1016/j.ergon.2018.09.007.
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Aguilera, José Joaquín, Jørn Toftum, and Ongun Berk Kazanci. "Predicting personal thermal preferences based on data-driven methods." E3S Web of Conferences 111 (2019): 05015. http://dx.doi.org/10.1051/e3sconf/201911105015.
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One of the prevalent models to account for thermal comfort in HVAC design is the Predicted Mean Vote (PMV). However, the model is based on parameters difficult to estimate in real applications and it focuses on mean votes of large groups of people. Personal Comfort Models (PCM) is a data-driven approach to model thermal comfort at an individual level. It takes advantage of concepts such as machine learning and Internet of Things (IoT), combining feedback from occupants and local thermal environment measurements. The framework presented in this paper evaluates the performance of PCM and PMV regarding the prediction of personal thermal preferences. Air temperature and relative humidity measurements were combined with thermal preference votes obtained from a field study. This data was used to train three machine learning methods focused on PCM: Artificial Neural Network (ANN), Naive-Bayes (NB) and Fuzzy Logic (FL); comparing them with a PMV-based algorithm. The results showed that all methods had a better overall performance than guessing randomly the thermal preferences votes. In addition, there was not a difference between the performance of the PCM and PMV-based algorithms. Finally, the PMV-based method predicted well thermal preferences of individuals, having a 70% probability of correct guessing.
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Yang, Xue Bin, De Fa Sun, Xiang Jiang Zhou, Ling Ling Cai, and Ying Ji. "Indoor Thermal Comfort and its Effect on Building Energy Consumption." Applied Mechanics and Materials 71-78 (July 2011): 3516–19. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.3516.
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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.
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Ghaffari Jabbari, Shahla, Aida Maleki, Mohammad Ali Kaynezhad, and Bjarne W. Olesen. "Inter-personal factors affecting building occupants’ thermal tolerance at cold outdoor condition during an autumn–winter period." Indoor and Built Environment 29, no. 7 (August 5, 2019): 987–1005. http://dx.doi.org/10.1177/1420326x19867999.
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The study was conducted to investigate thermal adaptation and the impact of individual differences on developing thermal tolerance when the outdoor temperature falls below 10°C. The applicability of the predicted mean vote (PMV) model was investigated, too. The concept of occupant’s ‘Temperament’ was evaluated as a psychological-adaptation factor. Two main hypotheses were: (a) people with different temperaments would experience different thermal sensations and (b) the classic PMV- predicted percentage dissatisfied (PPD) model is capable of predicting the neutral sensation in heated buildings under cold outdoor temperatures. There was a direct relationship between individual temperament and clothing level as well as thermal sensation. The occupants who were assessed to have cold temperament tend to wear thicker clothes and were more sensitive to variations in indoor air temperature than others. Females with a cold temperament were more than twice as likely to be affected by indoor air temperature as those with a warm temperament. The PMV-PPD model was able to predict the mean neutral temperature in the heated buildings even when the outdoor temperature fell below 10°C. However, when occupants were able to control high indoor temperature, the percentage of true prediction of actual mean votes by the adaptive thermal heat balance model was more than that by the classic PMV model.
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Dyvia, H. A., and C. Arif. "Analysis of thermal comfort with predicted mean vote (PMV) index using artificial neural network." IOP Conference Series: Earth and Environmental Science 622 (January 8, 2021): 012019. http://dx.doi.org/10.1088/1755-1315/622/1/012019.
Full textDissertations / Theses on the topic "Predicted Mean Vote (PMV)"
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Godbole, Swapnil. "Investigating The Relationship Between Mean Radiant Temperature (MRT) And Predicted Mean Vote (PMV) : A case study in a University building." Thesis, KTH, Installations- och energisystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235927.
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Thermal comfort in an indoor environment is largely dependent on the four environmental and two personal parameters which is most commonly measured by the Predicted Mean Vote (PMV) model developed by Fanger. It has been studied that variations in these parameters beyond a range could lead to discomfort complaints. However, little research has been done on the effect of mean radiant temperature variations and its influence on predicted mean vote and thermal comfort specially in an actual building environment. This study aims to investigate the relationship between mean radiant temperature and predicted mean vote in indoor environment. Using the methods of on-site measurement of indoor environmental parameters and subjective votes on thermal sensation in an educational building; it was found that rise in mean radiant temperature lead to rise in PMV value and discomfort vote amongst occupants seated near glazed façade. A very strong positive correlation was found between mean radiant temperature and PMV near the window side of the room under warm and sunny weather conditions. Analysis of indoor environmental data from the several measurement sessions concluded that rise in mean radiant temperature and PMV was not noticed until there was a direct solar transmission through the window. It is advisable to use solar shading on windows, but special consideration should be given to the trade-offs between energy consumption (heating or cooling) and lighting energy consumption. No conclusions could be made in terms of ankle draft discomfort due to experimental limitations and more research would be required to investigate this phenomenon.Termisk komfort inomhusmiljö är till stor del beroende av de fyra miljö och två personlig parametrar som oftast mäts av Predicted Mean Vote (PMV) modell som utvecklats av Fanger. Det har studerats att variationer i dessa parametrar utanför en limit kan leda till missnöjeklagomål. Däremot har lite forskning gjorts på effekten av mean radiant tempratur och dess inverkan på predicted mean vote och termisk komfort speciellt i en verklig byggnadsmiljö. Syftet med denna studie är att undersöka sambandet mellan mean radiant tempratur och predicted mean vote i inomhusmiljö. Användning mätmetoderna av inomhusmiljöparametrar och subjektiva röster av termisk komfort uppfattning i en byggnad för utbildning; det konstaterades att stiga i medel leda mean radiant tempratur att stiga i predicted mean vote värde och missnöje rösta bland byggnad brukarna sitter nära glasfasaden. En väldigt positiv korrelation mellan men radiant tempratur och predicted mean vote nära en fönstersida under varma och soliga väder var noterat. Genom att analysera data av inomhusmiljön från de multipla mätningssessionerna konkluderat att ökningen i mean radiant tempratur och predicted mean vote inte märktes tills det fanns en direkt soltransmission genom fönstret. Det är rekommenderar att använda solskydd på fönster, men med tanke på kompromisser mellan energiförbrukning (värme eller kyla) och ljussättning konsumtion. Inga slutsatser kan göras om luftdrag på fotled grund av experimentella begränsningar och mer forskning skulle krävas för att undersöka detta fenomen.
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Abreu, Saraiva Freitas Iuri. "Indoor climate : A comparison of residential units in Tjärna Ängar, Borlänge before and after retrofitting." Thesis, Högskolan Dalarna, Energiteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-30466.
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This study try to understand which aspects were fundamental to indoor climate and how to obtain them in order to provide the best possible experience in the thermal comfort of individuals. Thus, arose the studies of Fanger, which was the seed for a new era of discoveries in the area and founded the knowledge our society have today in this globally used standards and norms. Referring to these fundamental aspects of the indoor comfort, data collection was taken in situ to show in details what was happening. This study was executed in order to demonstrate the differences between the data previous and after a process of retrofitting in dwellings built in the 60s and 70s of the century past, in the district of Tjärna Ängar, Borlänge, Sweden. The comparative results using criteria such as Predicted Mean Vote (PMV), Predicted Percentage Dissatisfied (PPD), Draft Rate (DR), air velocity, Mean Radiant Temperature (MRT), Relative Humidity (RH) and air temperature, showed an improvement in 6 of the 8 parameters analyzed. Confirming the expectation that through the retrofitting the residents will be more satisfied, obtain better quality of indoor climate comfort and also increase occupied area in these dwellings.
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Diatel, Jakub. "Vytápění bytových domů." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2019. http://www.nusl.cz/ntk/nusl-392111.
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The topic of this diploma thesis is heating of apartment buildings, where an attention was focused on thermal comfort in heated rooms. The first theoretical part brings results of CFD simulations which compare radiators with floor heating. The second part consits of practical application o the given building. There are two options in this project - heating by radiators or floor heating. The third part describes two experiments - measurement of indoor environment in two rooms and measurement of gas consumption in apartment buildings with different heating concepts. In the last part the mean radiant temperature is simulated. There are compared different kind of heating, which have impact to distribution of mean radiant temperature in the room. The personal software was created for deeper understanding of mean radiant temperature.
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Lee, Yu-Chung, and 李煜中. "An Implementation of Automobile’s Fan-Coil Controller Based on Predicted Mean Vote(PMV)." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/83925714448734120630.
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碩士國立彰化師範大學
車輛科技研究所
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The research develops an embedded system for automobile’s Fan-Coil controller. The traditional automobile’s air-conditioning system uses basic temperature-controlled system, it will change the setting when it senses different temperature, but these frequently adjusts can not only satisfy customer’s and driver’s demands but also the safety of the driver. For this reason, the research builds up a comfortable automobile’s Fan-Coil controlled system for embedded system, driver and customer can understand the environment for human’s comfortable feeling through PMV index, further really creates a safety and comfortable vehicle environment. The research uses the processor of Philips’ ARM7 structure as the system kernel. It collocated several temperature sensors, liquid crystal display and controlled circuits into the hardware system. The embedded system structure will be developed as the Fan-Coil Comfort controller. The diagnosis of comfort is adopted this standard of ISO. The research in accordance with inference of PMV formula and the difference of inside temperature and temperature setting to find the best point in the environment. It determine the output of Fan-Coil unit according to Fuzzy control theory. Finally, the system achieves the purpose of keeping comfortable in car.
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Chen, Chu, and 陳褚. "A PERSONALIZED COMFORT SENSING SYSTEM BASED ON MODIFIED PREDICTED MEAN VOTE (PMV) MODEL." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/55611926882653772809.
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碩士大同大學
通訊工程研究所
103
In smart building, thermal comfort and indoor air quality are important factors, and the real-time measurement of comfort is notoriously complicated. Indoor environment has become an important area of research because of its influence on human health and energy consumption. In this paper, the authors have proposed a personalized comfort sensing system and implement the system with the Intel Quark-based Gateway. The proposed personalized comfort sensing system would record personal comfort region based on modified Predicted Mean Vote (PMV) formula and automatically provide a personalized comfort environment for user. To record and adjust with the objective of PMV value, implement a subjective personalized comfort sensing system, to improve the shortcomings of PMV formula which is for most people, but ignore few people. This system is of great significance in automation comfort environment control for smart building, to implement a real smart building.
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Rodrigues, Nelson José Oliveira. "Modelação computacional e avaliação experimental do conforto térmico ocupacional em salas de operação." Doctoral thesis, 2017. http://hdl.handle.net/1822/48669.
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Tese de Doutoramento - Programa Doutoral em Engenharia Industrial e de Sistemas (PDEIS)O presente estudo aborda o conforto térmico vivenciado pelos profissionais de saúde quando desempenham as suas atividades em salas de operações. No desenvolvimento do estudo foi selecionada uma sala exemplo, localizada num hospital da Região Norte de Portugal. Efetuada uma análise inicial, procedeu-se à caraterização do ambiente térmico da sala de operações, tendo em conta as atividades desempenhadas, assim como os sistemas de ventilação existentes e temperaturas praticadas. A análise do conforto térmico da sala de operações foi baseada em diferentes metodologias. Na primeira metodologia foi avaliada a sensação térmica efetiva, através de um questionário de ambiente térmico, aplicado aos profissionais de saúde. Na segunda metodologia foi aplicado o índice de Fanger, calculando o voto médio previsível. O isolamento do vestuário, necessário à realização do cálculo, foi também obtido através do questionário aplicado. Por sua vez, as variáveis ambientais foram recolhidas por medição no local, durante a execução das cirurgias. Relativamente à taxa metabólica, esta foi determinada por observação dos investigadores, recorrendo aos valores tabelados na norma ISO 8996:2004. O valor obtido para este parâmetro foi comparado com uma metodologia experimental, contudo, a última apresentou uma grande discrepância com a literatura. A terceira abordagem consistiu na construção de um modelo numérico para a previsão do ambiente térmico da sala e na utilização destes dados simulados para a avaliação do conforto térmico. Os resultados das diferentes metodologias foram analisados, tendo sido identificado que a sensação térmica apresentava o maior nível de dispersão na sala de operações. Por sua vez, o índice de Fanger calculado utilizando os dados ambientais medidos, apresentou um desvio da sensação térmica média para um valor mais elevado, sendo este, em valor absoluto, de 0,74, mas com uma dispersão mais reduzida. Apesar disso, foi verificada uma correlação entre as distribuições resultantes das duas abordagens. Quanto aos dados ambientais simulados numericamente, estes apresentam uma boa aproximação aos dados medidos em campo, permitindo, por um lado, validar a precisão dos resultados obtidos através da utilização destes métodos na avaliação do conforto térmico e, por outro, conseguir um maior detalhe das variáveis, assim como a verificação de assimetrias.
The present study addresses the thermal comfort experienced by the health professionals when performing their activities, in operating rooms. In the development of the study, an example room was selected, from a hospital located in the Northern Region of Portugal. After an initial analysis, the thermal environment of the operating room was characterised, taking into account the activities performed, as well as the existing ventilation systems and the temperatures. The thermal comfort analysis of the operating room was based on different methodologies. In the first methodology was assessed the effective thermal sensation, through a questionnaire for the thermal environment, applied to the health professionals. On the second methodology, Fanger’s index was used to calculate the predicted mean vote. The clothing insulation, necessary for the calculation, was also obtained through the questionnaire applied. In turn, the environmental variables were collected through field measurements during the execution of the surgeries. Regarding the metabolic rate, this parameter was determined through observation, by the researchers, and using the tabled values on ISO 8996:2004. The obtained value was compared with an experimental methodology, however, the latter result presented great discrepancy with the literature. The third methodology consisted in the construction of a numerical model to the prediction of the thermal environment in the operating room and using the obtained data for the evaluation of the thermal comfort. The results of the different methodologies were analysed and it was identified that the thermal sensation presented a higher level of dispersion in the operating room. However, when using the measured data to calculate Fanger's index, the results presented a deviation on the thermal sensation towards a hotter sensation, with an absolute value of 0.74, though, with a lower dispersion. Despite the observed, a good correlation was obtained between the two resulting distributions. Regarding the simulated environmental data, it was verified a good approximation to the measured field data, which allowed, on one side, to validate the precision of the data obtained through simulation, and on another side, that this method presented a greater detail, allowing to verify the existence of asymmetries.
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Costa, Luís Manuel Teixeira Matos da. "Custo do conforto térmico em edifícios localizados em Portugal." Master's thesis, 2018. http://hdl.handle.net/10316/86078.
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Dissertação de Mestrado Integrado em Engenharia Mecânica apresentada à Faculdade de Ciências e TecnologiaEste trabalho foi realizado com o objetivo de possibilitar a simulação da climatização de um espaço através de pontos de referência (Set-Points) de conforto térmico do ser humano, pelo voto médio previsto (PMV). Este tipo de climatização vem por oposição aos tradicionais sistemas de definição de temperatura. Este estudo foi elaborado com base numa premissa de poupança de recursos energéticos e económicos. O objetivo passa por uma tentativa de adaptar a temperatura no interior de um espaço à atividade metabólica correspondente aos indivíduos que nele se encontram, assim como o tipo de vestuário que os mesmos possam estar a utilizar. Foi empregue o software SEnergEd, que utiliza os conceitos de climatização por simulação dinâmica, horária de um espaço monozona, presentes na norma ISO 13790 (2006). A este programa foram adicionadas funções que permitem a aplicação da norma ISO 7730 (2005), de modo a atingir o objetivo descrito no primeiro parágrafo.As consequências deste método de climatização resultam numa melhor adaptação às necessidades de quem habita o espaço, ajustando assim as cargas térmicas aos valores necessários para o conforto do ser humano, que podem diferenciar bastante daqueles obtidos através de Set-Points de temperatura. Este aspeto revela a incapacidade de um sistema de climatização por Set-Points de temperatura em contabilizar parâmetros relativos ao ser humano como os supramencionados (isolamento do vestuário e taxa de atividade metabólica).Em simultâneo, é realizado um estudo adaptado ao edificado e clima português, com o objetivo de perceber os custos associados à manutenção de vários níveis de conforto térmico, de acordo com os vários fatores humanos, climatéricos, construtivos e energéticos em análise. O Custo Anual Equivalente (CAE) é o parâmetro utilizado para permitir uma comparação adequada entre as várias classes de conforto. A variação do CAE em função da variação do PMV e da percentagem de pessoas insatisfeitas (PPD) com o ambiente térmico permite a obtenção da classe de conforto ideal para encontrar um meio-termo satisfatório entre redução de custos e manutenção de um determinado nível de conforto.
The work here presented has its main goal centred on the possibility to allow the user to simulate the climatization of a room through the usage of human thermal comfort Set-Points, determined using the predicted mean vote (PMV). This kind of climatization is meant to be an upgrade towards the more traditional systems relying on fixed temperature Set-Points.This study is established on the premise of saving resources, energetic and economic. The goal is to try and adapt the interior temperature of a room to its usage, the metabolic rate and the clothing relative to the people in it.The utilized software, SEnergEd, employs the theoretical concepts for a dynamic, hourly, single-zone space found in the ISO 13790 (2006). To the initial version of this program, various functions have been added to allow it to merge in the thermal comfort factors present in the ISO 7730 (2005) to attain the goal set in the first paragraph.A direct consequence of this climatization method should be an optimal adjustment to the needs of the people who will be using the space. The thermal loads employed will be adjusted to the necessary values needed to maintain human thermal comfort. These values more likely than not, will differ from the ones obtained from using temperature Set-Points. This exposes a limitation on the temperature Set-Point systems to consider important factors like the human metabolic rate and clothing insulation.The second part of this thesis is a study set on the most common Portuguese buildings and the various climate zones found in the country, which goal is set on determining the costs related to maintaining a certain level of comfort, dependant on various human, climate, constructive and energetic factors.The Equivalent Annual Cost (EAC) is the parameter used to allow a good comparison between various comfort classes. The varying of the EAC in result of the varying predicted percentage dissatisfied (PPD) with the thermal environment in the room is key to find a satisfying middle-ground between cost reduction and keeping people comfortable.
Book chapters on the topic "Predicted Mean Vote (PMV)"
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Parsons, Ken. "The Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD)." In Human Thermal Comfort, 23–28. Boca Raton, FL: CRC Press/Taylor & Francis Group 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429294983-3.
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Fabbri, Kristian. "The Indices of Feeling—Predicted Mean Vote PMV and Percentage People Dissatisfied PPD." In Indoor Thermal Comfort Perception, 75–125. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18651-1_4.
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Sheng, Jinying, and Nianping Li. "The Applicable Research of Predicted Mean Vote Evaluation Index in Ceiling Radiant Cooling Panels." In Lecture Notes in Electrical Engineering, 315–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39584-0_35.
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Li, Yu, Yacine Rezgui, Annie Guerriero, Xingxing Zhang, Mengjie Han, Sylvain Kubicki, and Yan Da. "Development of an Adaptation Table to Enhance the Accuracy of the Predicted Mean Vote Model." In Data-driven Analytics for Sustainable Buildings and Cities, 227–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2778-1_11.
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Broday, E. E., and A. A. de P. Xavier. "A systematic literature review on Thermal Response Votes (TSV) and Predicted Mean Vote (PMV)." In Occupational Safety and Hygiene VI, 13–17. CRC Press, 2018. http://dx.doi.org/10.1201/9781351008884-3.
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Cruse, Andrew. "Improving the Weather." In Examining the Environmental Impacts of Materials and Buildings, 251–81. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2426-8.ch009.
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This chapter proposes an approach to thermal comfort that increases occupant pleasure and reduces energy use by connecting architecture's material and environmental dimensions. Today's dominant thermal comfort model, the predicted mean vote (PMV), calls for steady-state temperatures that are largely unrelated to building design decisions. A more recent alternative approach, the adaptive thermal comfort (ATC) model, ties comfort to outdoor conditions and individual experience. Yet reliance on HVAC technology to provide building comfort hampers how such ideas are integrated into building design. This chapter outlines the historical background of the PMV and ACT models to understand the current status of thermal comfort research and practice. It then uses four recent buildings to outline how the insights of adaptive comfort research can be translated to bespoke comforts through spatial, material, formal, and other design strategies.
Conference papers on the topic "Predicted Mean Vote (PMV)"
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Chen, Xiao, and Qian Wang. "A Data-Driven Thermal Sensation Model Based Predictive Controller for Indoor Thermal Comfort and Energy Optimization." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6131.
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This paper proposes a model predictive controller (MPC) using a data-driven thermal sensation model for indoor thermal comfort and energy optimization. The uniqueness of this empirical thermal sensation model lies in that it uses feedback from occupants (occupant actual votes) to improve the accuracy of model prediction. We evaluated the performance of our controller by comparing it with other MPC controllers developed using the Predicted Mean Vote (PMV) model as thermal comfort index. The simulation results demonstrate that in general our controller achieves a comparable level of energy consumption and comfort while eases the computation demand posed by using the PMV model in the MPC formulation. It is also worth pointing out that since we assume that our controller receives occupant feedback (votes) on thermal comfort, we do not need to monitor the parameters such as relative humidity, air velocity, mean radiant temperature and occupant clothing level changes which are necessary in the computation of PMV index. Furthermore simulations show that in cases where occupants’ actual sensation votes might deviate from the PMV predictions (i.e., a bias associated with PMV), our controller has the potential to outperform the PMV based MPC controller by providing a better indoor thermal comfort.
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Bing, Wei, Li Li, Jiang Lu, and Zhang Wei. "Numerical Simulation of Indoor Air Flow in Capillary Plane HVAC Terminal System." In ASME 2008 2nd International Conference on Energy Sustainability collocated with the Heat Transfer, Fluids Engineering, and 3rd Energy Nanotechnology Conferences. ASMEDC, 2008. http://dx.doi.org/10.1115/es2008-54081.
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The capillary plane terminal system is a novel HVAC system which can be used in office or residential buildings with dedicated outdoor air system. The capillary mats buried in the surface grout of the ceiling or the wall or the floor handle the interior sensible space cooling load with the handled dedicated air taking on the rest latent cooling load to keep the indoor parameters to be desired state. In this paper, with an example of a typical residential room where the capillary mats are installed on the ceiling, by using the method of CFD the indoor air flows under different modes in summer and winter are simulated and the temperature, velocity, relative humidity, predicted mean vote (PMV) and predicted percent dissatisfied (PPD) fields are presented and analyzed. Based on the simulation results, the indoor thermal environments are evaluated. And the optimal air flow mode is recommended correspondingly. These will be useful to the design and application of the capillary plane HVAC terminal system.
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Kolková, Zuzana, Peter Hrabovský, and Jozef Matušov. "Analysis of Thermal Comfort and Microclimatic Conditions in Special Workplaces." In 2nd International Conference on Research in Science, Engineering and Technology. Acavent, 2019. http://dx.doi.org/10.33422/2nd.icrset.2019.11.789.
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Microclimatic conditions and thermal comfort are important factors in the design of high quality buildings and the quality of working conditions for people in different operations. The importance of thermal comfort in the indoor environment can not be underestimated. A vast majority of complaints about indoor climate relate to poor thermal comfort. This paper presents an analysis of subjective thermal comfort measurement. The experiments were conducted to collect the data in the real conditions. ComfortSense system was used in these experiments. A Humidity and an Operative probe are available together with application software with graphical presentation of results including the Predicted Mean Vote (PMV) and Predicted Percentage Dissatisfied (PPD). The operating conditions are regulated by law in our country. The aim of the legislation is to protect people in the working environment and create appropriate health conditions for them. The goal of a thermal comfort analysis is finding an appropriate function of the physical parameters (background radiant temperature, air temperature, air humidity, wind speed, clothing, metabolic rate, and core temperature), which would yield the corresponding comfort/discomfort level.
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Al Qubaisi, Ayesha, and Ali Al Alili. "Toward Efficient Residential Buildings in Hot and Humid Climates." In ASME 2015 9th International Conference on Energy Sustainability collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/es2015-49255.
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The design, construction, and operation of highly efficient residential buildings in hot and humid climates represent a unique challenge for architects, contractors, and building owners. In this paper, a case study on the performance of a residential building located in hot and humid location is presented. The building is a single-family house, which is modeled as a multi-zone building. The transient systems simulation program (TRNSYS) is used to simulate the building under Abu Dhabi’s typical meteorological year conditions. The results are presented in terms of the annual energy consumption and the indoor thermal comfort. The Predicted Mean Vote (PMV) is used to model the thermal comfort. In addition, the results of applying local building codes, Estidama, and international building codes, ASHRAE 90.2 and LEED, on the building’s performance are compared. The results will help in finding the effectiveness of these building standards in reducing the energy consumption of residential building in hot and humid regions.
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Hasan, Alaa, Tarek ElGammal, Ryoichi S. Amano, and Essam E. Khalil. "Flow Patterns and Temperature Distribution in an Underground Metro Station." In ASME 2018 12th International Conference on Energy Sustainability collocated with the ASME 2018 Power Conference and the ASME 2018 Nuclear Forum. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/es2018-7413.
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Accurate control of thermal conditions in large space buildings like an underground metro station is a significant issue because passengers’ thermal comfort must be maintained at a satisfactory level. The large eddy simulation (LES) model was adopted while using the computational fluid dynamics (CFD) software “STAR CCM+” to set up a CFD station model to predict static air temperature, velocity, relative humidity and predicted mean vote (PMV), which indicates the passengers’ thermal comfort. The increase in the number of passengers using the model station is taken into consideration. The studied cases covered all the possible modes of the station box, these modes are (1) the station box is empty of trains, (2) the presence of one train inside the station box, (3) the presence of two trains inside the station box. The objective is to bring the passengers’ thermal comfort in all modes to the acceptable level. The operation of under platform exhaust (UPE) system is considered in case of train presence inside the station box. The use of UPE is more energy efficient than depending entirely on the air conditioning system to maintain the thermal conditions comfortable.
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Arezes, P., C. P. Lea˜o, M. L. Ferreira, and S. F. Teixeira. "Teaching Human Termal Comfort Through a Software Graphic Interface." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14873.
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Human comfort has become a key issue in developing new technologies and products. Thermal comfort perception is mainly affected by heat and mass transfer processes between the human body and its environment. In teaching this subject to Mechanical Engineering undergraduate students at University of Minho, the thermal comfort index PMV (Predicted Mean Vote) has often been used. It gives a statistical mean value of comfort sensation and it is very simple to use. On the other hand, a full computer simulation software of the human bodyclothing-environment system is a more effective way to study thermal comfort. However, computer models can be quite complicated to follow and to use in classes. A thermal human comfort model has been incorporated into a graphical interface in order to facilitate its current use. The graphical interface appears to be a very useful tool to interact with the thermal human comfort model developed. During its development stage, the interface has been tested using questionnaires in order to optimize its usability as a learning tool. Three different groups have been targeted by the questionnaires: first group of students from the Industrial Engineering degree, who have already some general knowledge about ergonomics, the second group included Post-Graduate students in Human Engineering, and the third group included students from Mechanical Engineering degree. Comparing results and also motivating students to this interesting and demanding subject has been the main objective of the present work.
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Farooq, Sobia, and Fredericka Brown. "Evaluation of Thermal Comfort and Energy Demands in University Classrooms." In ASME 2009 Heat Transfer Summer Conference collocated with the InterPACK09 and 3rd Energy Sustainability Conferences. ASMEDC, 2009. http://dx.doi.org/10.1115/ht2009-88326.
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The impetus of this study was to evaluate the current HVAC related energy demands of select classroom at The University of Texas at Tyler at present thermal set points and compare the current energy demands with energy demands based on operating the system at the preferred temperature range of occupants. To determine the preferred temperature range of the students at The University of Texas at Tyler, a subjective assessment was performed by questionnaire survey in a selected classroom along with objective measurements of thermal comfort parameters (air velocity, operative temperature and relative humidity). The questionnaire survey included questions about thermal sensation, perception, acceptability, and relevant demographic and clothing data. Using the Fanger’s thermal comfort model, the Predicted Mean Vote (PMV) and Percentage People Dissatisfied (PPD) was calculated from the objective measurements. Regression analysis performed on the survey data provided the range of neutral, preferred and acceptable temperatures in the classroom. The key contributions of this study were: 1) successful implementation of the on field methodology to access thermal comfort in the hot and humid climate of Tyler, Texas, 2) evaluation of the thermal comfort level of the students and faculty at The University of Texas at Tyler, 3) data acquisition of neutral and preferred temperature ranges which can be used as a reference for HVAC design engineers, and 4) comparison of the relationship between thermal comfort level and energy consumption.
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Al-Rawahi, Ahmed Khalfan, and Ali Al-Alili. "Indoor Air Quality of an Educational Building and its Effects on Occupants’ Comfort and Performance." In ASME 2017 11th International Conference on Energy Sustainability collocated with the ASME 2017 Power Conference Joint With ICOPE-17, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/es2017-3601.
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Indoor Air Quality (IAQ) studies the air quality inside different types of environments and relates it to the health and comfort of occupants. Understanding and controlling common pollutants indoors can help in decreasing effects and the risks associated with these pollutants. Unhealthy indoor environment could lead to serious problems in people health and productivity. According to ASHRAE, 80–90% of personal time is spent indoors. As a result, indoor air pollution has gained a lot of interest and the number of studies on occupant health inside buildings grew very significantly in the last decades. The purpose of this study is to investigate the effect of indoor air quality inside an educational buildings on occupants’ comfort and performance. Various indoor pollutant such as, Carbon dioxide, Carbon monoxide, Volatile organic compounds, Particulates, and formaldehyde, are measured. The indoor air contaminants will be detected using IAQ measurement devices. The value of the pollutants is compared to maximum allowed values in ASHRAE standard 62.1. In addition, the occupant thermal comfort is reported using two indices which are Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). The relationship between the performance and the indoor air quality is also discussed. The results will discover the sources of the indoor air pollutants and accordingly suggestions will be given toward improving the indoor air quality. The final results showed that the IAQ is generally in a good condition for the majority of classrooms except for the TVOC which was always at high concentrations. Also, for some classrooms, the CO2 level and the relative humidity were exceeding the maximum limit. Regarding the thermal comfort, all the classrooms do not comply with ASHRAE Standard 55-2013. Therefore, they are not thermally comfortable.
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Xu Wei, Chen Xiangguang, and Zhao Jun. "An adaptive Predicted Mean Vote (aPMV) model in office." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536861.
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Cigler, Jiri, Samuel Privara, Zdenek Vana, Eva Zacekova, and Lukas Ferkl. "On predicted mean vote optimization in building climate control." In 2012 20th Mediterranean Conference on Control & Automation (MED 2012). IEEE, 2012. http://dx.doi.org/10.1109/med.2012.6265854.
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