Thermal Comfort Range Research Articles

Investigation of combined ventilation in the comfort conditions of an isolated room

An air conditioning system is characterized as a device that controls the air's temperature, flow, and humidity within a specific space. If an air conditioning system can guarantee that a room is comfortable, then it functions well. This investigation has assessed the properties of air dispersion and evaluated the factors and conditions outside the classroom. These variables include temperature, relative humidity, air speed, and CO2 content. The average relative humidity of the air exhibits a similar pattern to that of the average CO2 concentration, beginning to decline as air input via the valve increases. Furthermore, CO2 content is a primary determinant of indoor air quality; numerical simulation results are used to assess its value in relation to people's mouths and noses. Because of its distance from the flow source, the air velocity distribution near the ground is minimal and falls within the advised thermal comfort range. The room's air temperature is managed by the existing ceiling air conditioner, which enters the space at a 45-degree angle. An excellent combination of appropriate room air quality conditions and energy conservation can be accomplished by utilizing the ceiling cooler and the ventilation system's airflow rate.

Impact of 3D printing technology on the field of apparel design in the framework of intellectual property law

Abstract 3D printing technology, with the development of science and technology, the application in the field of clothing can not be counted. In this paper, based on the design technology route of 3D printing clothing, we first establish parametric 3D three-dimensional clothing. After determining the constraints of the clothing curve, we generate the clothing parametric surface by interpolation and then adjust the horizontal mesh to generate the three-dimensional clothing model. The Gragh Cut algorithm is used to segment the garment image and extract the 3D garment contour features. Finally, the exploration of the aesthetic implication and modeling characteristics of 3D printed garments is launched, and examples analyze the aesthetic characteristics and comfort of 3D printed garments under different materials according to the characteristics of local decoration, functionality, parameterization, and so on. The impact of 3D printing technology on clothing design within the framework of intellectual property law is also being explored. The results show that the thermal comfort range of 3D printed garments is 24.1~26.6°C, and 3D printing materials with larger TCR can better regulate the comfort of garment design. This study explores parametric garment design using 3D printing, which is innovative.

Evaluation of the thermal performance of housing envelopes as passive cooling systems

Over the years, climate change has generated an increase in the average temperature of the planet, which has led to greater consumption of electrical energy for the use of air conditioning systems. Insulating envelope materials are considered a viable passive solution as they offer internal air conditioning, cooling, and/or heating of buildings that lead to thermal comfort with reduced energy consumption. This article compares the application of different insulating materials in an existing single-family home located in a hot-dry climate. To this end, the procedural methodology has been applied by carrying out a bibliographic review of different involutes currently used in the construction of the buildings and 14 models are proposed that will be simulated under the same input variables of the base model and meteorological data of the city of Bucaramanga validated from a meteorological station located on site. The results of the simulations show that all 14 models show a decrease in temperature with reference to the "base model"; This difference can be explained by the presence of the selected materials that slightly change the thermal properties of the wall. Finally, this research allowed us to determine that the occupants of the simulated spaces in the base model are inside the thermal comfort range by 61.96%, which represents 5,438 hours of the modeled year, having 38.03% of hours of discomfort in the measured time. This study can be useful for the selection of envelopes and different buildings with passive cooling requirements.

Experimental analysis of air-multiple pcm heat exchanger in evaporative cooling systems for supply air temperature stabilization

The free cooling system is a highly efficient solution that effectively regulates indoor temperature when the ambient air temperature fluctuates within the thermal comfort range. Compared to traditional cooling systems, the evaporative cooling system excels in cost-effectiveness and has exceptional efficiency in hot and dry climates. However, the system's performance is significantly influenced by the environment, leading to fluctuations in the outlet temperatures of the evaporative cooler. A novel approach to integrating thermal energy storage with an evaporative cooling system has been studied to achieve free cooling and stabilize the system's supply air temperature to address this challenge. The evaporative cooler's design, construction, and experimental testing have been carried out in highly challenging hot and dry environments. The utilization of phase change materials (RT21HC and RT25HC) as a thermal energy storage system has been implemented. Incorporating phase change materials has notably improved the stability of the outlet air temperature from the evaporative cooling system. Furthermore, the outlet air temperature from the system exhibited consistent fluctuations within the range of 21–25 °C, requiring a significant amount of energy absorption and release to exceed these temperature thresholds. The findings demonstrate that the proposed system effectively reduces and shifts peak load to off-peak hours. Moreover, thermal energy storage can deliver free cooling during the spring and autumn. However, integrating the PAHX into an evaporative cooling system becomes crucial in regions characterized by extremely hot summer seasons. The maximum deviation between numerical and experimental results is 4 %.

Field measurements of post-operation evaluation of daylighting and thermal comfort in hot and arid climates: A pilot study of three educational buildings on the Najran University campus in Saudi Arabia

The average energy consumption of educational buildings is constantly increasing due to their reliance on information technology equipment, expanded occupancy to accommodate new academic programs, and increased use of lighting and cooling systems. This research aims to gather data on the performance of lighting and cooling systems, as they are the two largest energy consumption systems on Najran University campus. It also explores opportunities to optimize the energy efficiency of the buildings, and it attempts to determine the satisfaction of Najran University users with the two operation systems (i.e., lighting and cooling). The research methodology depended on on-site measurements and online surveys. The on-site day lighting measurements confirmed that the maximum daylight illuminance levels were less than 100 lux in most workplaces and exceeded 100 lux only in a few workplaces, which were adjacent to windows. In addition, the field measurements of indoor temperature are 14.3–25.33 °C, which is a little cooler than the thermal comfort range during the majority of the year. Furthermore, the results of the building user questionnaire revealed that 73.1 % of respondents expressed satisfaction with the natural light levels at their workplaces. Only 57.7 % of respondents confirmed their satisfaction with the workplace temperature. However, the energy-efficient use of air-conditioning and artificial lighting systems would require the systems to be more flexible and dynamic. This research recommends optimizing control systems of air conditioning and artificial lighting systems to be converted to intelligent operation systems. That change would facilitate achieving energy-efficient buildings and give individual users adjustment options to adjust the comfort settings in their workplaces.

Predictive AC Control Using Deep Learning: Improving Comfort and Energy Saving

The growing global population and the availability of energy-hungry smart devices are critical factors in today's alarmingly high electricity usage. The majority of energy used in urban areas is consumed by buildings, with heating, ventilation, and air conditioning (AC) systems accounting for a significant amount of energy use. This project proposes an AC controlling algorithm that uses the Internet of Things sensors and a deep learning framework in temperature prediction to control a single AC unit. The algorithm consists of a Long Short-Term Memory (LSTM) model to predict the indoor temperature for the next J minutes. The highlight of this model is its capacity to predict the future temperature based on the predetermined AC status, whether it is switched on or off. The AC unit will be turned off if the J-minute predicted temperature is within the desired thermal comfort range, and it will be turned back on if the sensor readings exceed the upper pre-set threshold. The experiment is performed on the dataset collected by Chulalongkorn University Building Energy Management System (CU-BEMS). The LSTM prediction model developed using CU-BEMS data yields an average Root Mean Squared Error and Mean Absolute Error of 0.08 and 0.03, respectively. A half-day simulation is also performed in controlling the AC unit from 7:39 a.m. to 11:35 a.m. The proposed algorithm shows that 49.00% of the time, the AC unit can be turned off while the thermal range is maintained between 27ºC to 27.9ºC, providing a strategy for managing the AC unit and achieving energy savings.

Investigation of indoor thermal comfort of heritage buildings in hot summer and cold winter zone of China: A case study

The heritage buildings of a country or region are frequently considered to be of value and significance to the current generation. This study investigates the winter indoor thermal comfort of heritage buildings in hot summer and cold winter zone of China. Field measurements and questionnaire surveys were used to conduct specific studies on the winter indoor thermal comfort of two typical traditional residential buildings (“Yinziwu” and “Diaojiaolou”) in the Yuan River basin heritage building area. The aim is to investigate the current status of building thermal comfort and provide a theoretical basis for promoting their sustainable development. The results show that 1) Indoor air temperatures in both types of buildings are significantly and positively correlated in winter, but both are below the human thermal comfort range. 2) Mean air temperatures measured in "Yinziwu" and "Diaojiaolou" are 8.8 °C and 9.4 °C, respectively, with neutral air temperatures of 11.1 °C and 13.8 °C. 3) Thermal sensation, thermal preference, and thermal comfort were significantly correlated in the two buildings, with ooccupants experiencing the coldest phase from 7:00–11:00 and the warmest phase from 15:00–19:00 daily. 4) "Yinziwu" occupants are more tolerant of the cold climate.

Thermal sensitivity and adaptive comfort in mixed-mode office buildings in humid subtropical climate

ABSTRACT This study evaluates thermal sensitivity, expectations, and adaptability in mixed-mode ventilated buildings by subjective and objective assessments. A field study of simultaneous measurements of physical environmental parameters and right-here-right-now surveys was conducted in three office buildings from summer to winter in humid subtropical climates. The study confirmed previous findings that thermal adaptability and preferences changes as the ventilation system switches between natural ventilation (NV) and air-conditioning (AC). Occupants in this study showed more sensitivity to temperature changes than previously reported by ASHRAE Standards, yet thermal sensitivity was the same under different modes of operation. The neutral temperature was 0.5 oC higher than the predicted neutral temperature by ASHRAE 55 under both modes of operation. Thermal expectations were 1.5 oC warmer than the neutral temperature estimated by ASHRAE 55 when the building was operated by AC, while thermal expectations were almost the same as predicted by ASHRAE 55 under NV mode. Thermal comfort range was 0.75 oC wider than those predicted by ASHRAE 55 under NV operation, and the same as ASHRAE 55 under AC operation. The findings of this research provide a better understanding of mixed-mode building operations and perspectives from occupants, important for building designers and building operation managers.

A Study on Modifying Campus Buildings to Improve Habitat Comfort—A Case Study of Tianjin University Campus

At present, the design and planning of teaching and living areas on university campuses are relatively straightforward but encounter problems, such as poor ventilation, low indoor air quality, and poor sound insulation. In this study, the teaching building and living area cluster at the Tianjin University campus were selected as the research objects. We verified the effectiveness of the simulation results before and after renovation through onsite testing. To improve ventilation, an atrium and patio were added to the teaching building, and the ventilation of the renovated building was studied. The indoor thermal environment intelligent control system regulates carbon dioxide (CO2) concentration and humidity in the teaching building and changes the thermal comfort of the teaching building. Limiting vehicle speeds near the teaching building and the living area cluster, using muffling materials and muffling equipment, and increasing greenery to reduce noise were factors we studied, considering whether they had a noise-reduction effect. It was found that the average number of air changes in the overall functional space of the first teaching building reaches 6.49 times/h, and the wind speed in the human activity region is below 1 m/s. When using a thermal environment intelligent control system, the indoor temperature throughout the year was within the thermal comfort range 81% of the time. The maximum noise around the teaching building during the daytime was 51.0 dB, the maximum noise at nighttime was 41.5 dB, and the maximum sound level on the facade of the living area cluster was 53 dB. The average noise-reduction rate was 22.63%, which exceeds the noise-reduction rate given in the above research literature.

Examination of hydrodynamic behavior of wind deflectors in the normal inner temperature with the point of more efficiency (Case study: Bwhsa Köppen climate classification of Kashan City)

One of the ways to achieve a building with higher energy efficiency and an efficient system is to use local architectural experiences. In the meantime, a wind deflector is one of the elements used in the past to create comfort. In the Bwhsa Köppen climate classification of Kashan City, they used to move and cool the air in the building. This study investigates the interior of these settlements in this climate to aim to reach greater efficiency of this element by CFD software, Energy Plus, and Open Studio with a descriptive-analytical method and then analyzes the results. A comparison of the results of the analysis of wind speed in wind turbines and how the wind is oriented in the interior is shown. Due to the low thermal mass of the wind deflector walls compared to the room, the temperature fluctuation is always higher than in the room. The main factors in temperature drop are proportionality of dimensions-air inlet valve to the windshield, water temperature, measurements, and height of the windshield column. Finally, to reduce the room temperature further, the priority is to use a spray windshield over windshield wipers. Especially windshields with water spray in which most of the room has a temperature of 25 degrees Celsius and are in Kashan city’s thermal comfort range.

Thermal Comfort Assessment in University Classrooms: A Discriminant Analysis for Categorizing Individuals According to Gender and Thermal Preferences

The concern with the well-being of users in buildings has become increasingly essential, covering aspects related to health, energy efficiency, and productivity. The thermal environment evaluation in buildings has become more frequent due to the time people spend inside them. In this context, this study aimed to analyze thermal comfort in classrooms at a Brazilian University. During the autumn, 50 measurements were performed, resulting in 519 valid responses. The results of the linear regression analysis revealed that the thermal comfort range for females was 20.39–22.19 °C, while for males it was 19.47–22.56 °C. Through discriminant analysis, participants were classified based on their thermal sensation vote (TSV), predicted mean vote (PMV), and thermal preference votes (PREF), achieving a success rate of 76.1% for females and 81.6% for males in forming the groups, which demonstrates the effectiveness of discriminant functions in predicting thermal comfort for both groups. These results highlight the importance of considering gender differences in the search for thermal comfort conditions and providing guidelines that promote the well-being of occupants and the conscious use of energy. This implies adjusting the thermal conditions according to the specific needs of males and females in classrooms, always seeking to provide a suitable environment for activities, and considering energy efficiency and users’ productivity.

Simulation and Machine Learning Investigation on Thermoregulation Performance of Phase Change Walls

The outdoor thermal environment can be regarded as a significant factor influencing indoor thermal conditions. The application of phase change materials (PCMs) to the building envelope has the potential to improve the heat storage performance of building walls and, therefore, effectively regulate the temperature variations of the inner surfaces of walls. COMSOL Multiphysics software was adopted firstly to perform the simulations on the thermoregulation performance of phase change wall; the time duration of the temperature at the internal side maintained within the thermal comfort range was used as a quantitative evaluation index of the thermoregulation effects. It was revealed from the simulation results that the time durations of thermal comfort were extended to 5021 s and 4102 s, respectively, when the brick walls were filled with two types of composite PCMs, namely eutectic hydrate (EHS, Na2CO3·10H2O and Na2HPO4·12H2O with the ratio of 4∶6)/5 wt.% BN and EHS/5 wt.% BN/7.5 wt.% expanded graphite (EG), under the conditions of 18 °C ambient temperature and 60 °C heating temperature at the charging stage. Both of them were longer than 3011 s, which corresponds to a pure brick wall. EHS/5 wt.% BN/7.5 wt.% EG exhibited better leakage prevention performance and, therefore, was a candidate for actual application, in comparison with EHS/5 wt.% BN. Then, a machine learning training process focused on the temperature control effects of phase change wall was carried out using a BP neural network, where the heating surface and ambient temperature were used as input variables and the time duration of indoor thermal comfort was the output variable. Finally, the learning deviation between the raw data and the results obtained from machine learning was within 5%, indicating that machine learning can accurately predict the temperature control effects of the phase change wall. The results of the simulations and machine learning can provide information and guidance for the advantages and potentials of PCMs of hydrate salts when being applied to the building envelope. In addition, the accurate prediction of machine learning demonstrated its application prospects to the research of phase change walls.

Experimental study and numerical simulation of a floor heating system in a three-dimensional model: Parametric study and improvement

In recent years, the installation of underfloor heating systems has increased considerably in many countries, due to their ability to be connected to a solar thermal collector in order to benefit from clean and renewable energy. This promising technology allows for reduced energy consumption, achieves a higher level of comfort, and ensures a more homogeneous temperature distribution than conventional heating systems. A huge loophole is detected in research works concerning the three-dimensional numerical modelling of the thermal behavior of underfloor heating by COMSOL Multiphysics software. The present study aims to reduce these knowledge gaps and to analyze the thermal behavior of the direct solar floor numerically and experimentally under the specific climatic conditions of Casablanca, Morocco. Visualize the thermal behavior of the underfloor heating system and the heating circuit as a 3D model using COMSOL Multiphysics software, based on the finite element method by investigating the influence of various design and operational parameters to select the best parameters that guarantee thermal comfort in the case of installing this heating system in traditional bathrooms.The results obtained by numerical simulation are then compared with those of the experimental measurements in order to verify the validity of the numerical model. The average deviation between the simulated and measured surface temperatures is approximately 1.04%, while the deviation in pipe temperature is around 3.13%, which shows a very good agreement between the numerical and experimental results. In addition, the results of the parametric study indicate that the key elements for enhancing the floor heating system are primarily a floor covered by tile with a minimum thickness of 5 mm, a pipe spacing of approximately 15 cm, a PER pipe diameter of 16/20 mm, and a thermal insulation layer with a thickness of 50 mm made of XPS or polystyrene. The incorporation of these improvements in the standard model ensures a surface temperature within the thermal comfort range of a less warm bathroom, approximately 34.13 °C, and a high heat flux emitted at the surface around 502.07 W compared to the standard model. In the literature, it was found that the comparison of architectural characteristics of direct solar floors receives minimal attention, with most studies only comparing systems in terms of thermal comfort or energy efficiency. In this study, the analysis and interpretation of the results obtained can be used to help engineers and designers select the type and dimensions of the best materials for heating floors installed in traditional bathrooms in Morocco.

Evaluating thermal comfort and neutral temperature in residential apartments in hot and dry climate: A case study in Shiraz, Iran

Determination of thermal comfort, as one of the main goals of climate design, is of great importance due to its direct impact on human productivity and health, the interior space quality, and the energy consumption reduction, regarding the fact that most of the human activities take place in the house. Though providing crucial design information, determination and analysis of the thermal comfort range is a challenging issue due to variety of climatic, physiological, and cultural influencing factors, which in turn, necessitate field studies. Considering the critical need of determining thermal comfort range for each climate, this research aimed to describe field study of thermal comfort conducted in mid-rise residential apartments with open courtyards in hot and dry climate of Shiraz, Iran to provide neutral temperature, thermal comfort range, and the relationship between neutral temperature and indoor as well as outdoor temperature. The data and information needed, based on the experimental and field methods, were collected using the two main methods of questionnaire and measurement and the results were discussed with analytical and inferential description. In addition to a positive correlation between indoor air temperature and PMV as well as AMV, the findings of survey and regression analysis reveals a good relationship between neutral temperature and indoor temperature and also, between indoor comfort and outdoor conditions. Furthermore, a neutral temperature of 27.18 °C and the comfort band (23.2–30.8 °C) vindicated that respondents achieve comfort at a higher indoor air temperatures compared with the recommendations of international standards such as ISO7730. Moreover, the regression equation between the preferred and neutral temperature suggests that the neutral temperature can be used as a suitable criterion for predicting indoor temperature.

Investigation of summertime thermal comfort at the residences of elderly people in the warm and humid climate of India

According to WHO (World Health Organization) data, people spend at least 80% of their lives indoors, with the percentage rising to 95% for older people with mobility impairments. Creating a thermally comfortable indoor environment is essential for improving users’ productivity and well-being, particularly for those who spend maximum time indoors, such as elderly people. India’s ageing population is increasing significantly; however, there is lack of studies in the field of thermal comfort for the elderly. The main aim of this paper is to determine the thermal comfort range of elderly people in residences of warm and humid climates during summers in India and to find out the adaptive actions opted by the elderly population to achieve thermal comfort. 740 responses were collected from elderly people through questionnaire surveys along with simultaneous field measurements during the summer. The linear regression analysis found the occupant’s comfort temperature of 30 °C and the comfort range was found to be 28.5 °C- 31.5 °C, which was narrower than the younger people’s thermal comfort studies at residences. The neutral temperature was higher for the male elderlies than the female elderlies, which was highly correlated with their clothing adjustments. The probit analysis revealed that 90% of the elderly felt comfortable when the operative temperature varied between 26.9 °C and 30.9 °C. Clothing adjustments and taking cold showers are the most preferred behavioural actions by the elderlies in summer, whereas changing the cooking time and tying up hair are the most preferred behavioural adaptations to overcome thermal discomfort for female elderlies.

Lattice design made with recycled polymeric concrete for the facade of a single-family house

There has been an increase in the generation of urban solid waste and special handling waste in Mexico in recent years; today there are not enough final disposal sites to dispose of the waste that is generated. Urgent measures that reduce the number of waste that enters these sites through proper reuse and recycling. For this reason, this article shows how–through an appropriate recovery–materials and elements can be re-purposed for the construction of single-family homes. For this, a lattice for an exterior facade was designed from a recycled polymer concrete in order to improve the range of thermal comfort and mitigate energy consumption inside a single-family home in the municipality of Cuautla Morelos. An experimental and descriptive methodology was carried out where the elaboration of molds was carried out to later obtain the lattice and finally mechanical, thermal tests and digital simulations of the wind tunnel. Favorable results were obtained from the geometry applied to the lattice and the performance of the material in a hot climate.

The Evaluation on Thermal Performance of Rumah Negeri Sembilan Berserambi Dua dan Beranjung

Traditional Malay house, a passive design architecture, is believed to have more effective thermal performance than modern residential houses through climatic design strategies. Unfortunately, the Malay house has experienced numerous changes and is confronted with constant dangers due to present-day science and innovation. Thus, this study aimed at evaluating the thermal performance of rumah Negeri Sembilan berserambi dua dan beranjung for sustainable practice in the tropical environment. The method used was fieldwork: observation and thermal measurement. Comparing the suggested comfort level by ASHRAE 55 and ICOP, 20% percent of the total data is falls within the thermal comfort range suggested. However, the house is considered in comfort environment between 25-27ºC, which is only in the early morning. As for the wind flow, each house division recorded different readings. However, it was still within the comfort level range, i.e., between 0.12-1.25m/s, while the RH level was 50-60%. Therefore, the primary findings elaborate that the Malay house construction has five factors that directly influence the house's thermal performance. These include floor areas, openings, floor and roof heights, materials, open compound areas, and building setting. This study aspires to provide useful insights regarding the effectiveness of practices in the climatic design strategies of a traditional Malay house. Thus, its contribute to the scientific discussions on sustainable practices in modern residential design which aligned with the Twelfth Malaysia Plan (RMK12) Theme 3.

Adaptive thermal comfort of residential buildings in the composite climatic region of India: a field study

ABSTRACT This paper presents the results of an adaptive thermal comfort field study conducted in the naturally ventilated residential buildings in the composite climate type of India over three main seasons i.e. monsoon, winter, and summer using ASHRAE’s class II field measurements protocols. 768 measurements were collated wherein subjective thermal comfort sensation, preference, and acceptance for indoor environment variables were thoroughly explored along with the adaptive actions of the users for four different times during a day. Correlation analysis helped decipher the relationship between subjective votes and thermal comfort evaluation parameters. Thermal environment acceptance during monsoon season and morning time was highest however the same was found lower during summers and afternoons. The middle age group had the lowest acceptance and well-acclimatized non-native participants had a good thermal acceptance. Education also affects thermal acceptance and it decreases with increasing education level. The comfort temperature and adaptive comfort equation were also studied and results were compared with national and international thermal comfort standards. This study predicted a wider thermal comfort range of 12.23–34.45°C and indicated revising TSI, the first thermal comfort index for Indian Subjects.

Indoor thermal comfort evaluation of traditional dwellings in cold region of China: A case study in Guangfu Ancient City

Global climate change has led to increased differences in the indoor thermal environment of traditional dwellings and residents' thermal adaptability, but quantitative research in this area needs to be updated and improved. In this paper, taking the old and new types of traditional dwellings of Guangfu Ancient City in Hebei province, China as the example, we first investigated the current situation of indoor thermal environment and thermal comfort characteristics of residents by means of subjective questionnaire survey and objective data measurement. The measured data showed that the average indoor temperature of old-type traditional dwellings in winter was far lower than the thermal comfort range of human body, and it was also higher than the relevant standard in summer. Secondly, we established a new thermal comfort evaluation model of traditional dwellings and proposed a new thermal neutral temperature of residents: old-type traditional dwellings (18.1 °C in winter and 27.1 °C in summer), new-type traditional dwellings (19.8 °C in winter and 25.7 °C in summer). Although the measured data showed that the thermal environment quality of the old-type traditional dwellings was poor, the residents had strong thermal adaptability. Finally, we put forward the different living performance improvement strategies of old and new types of traditional dwellings: The old-type traditional dwellings should focus on strengthening the thermal performance of the envelope structure, while the new-type traditional dwellings should solve the problem of low indoor humidity in winter. This research improves the evaluation system of human thermal comfort of dwellings in cold region of China, and provides a good case reference.

Evaluation of energy-saving potential and cabin thermal comfort for automobile CO2 heat pump

Currently, the heat pump air conditioning system is extensively used in Electric Vehicle (EV). However, most previous simulation studies focused on one-dimensional (1D) system performance rather than three-dimensional (3D) cabin thermal comfort. This study proposed a novel control strategy for the operation of a one- and three-dimensional coupling transcritical CO2 heat pump air conditioning system based on the weighted Predicted Mean Vote (PMV) model. The mathematical characterizations of the multiple thermodynamic systems were achieved by one-dimensional calculation and the cabin thermal environment was described by three-dimensional simulation. The weighted predicted mean vote value was calculated by real-time interactive three-dimensional cabin thermal environment parameters while providing control signals for the one-dimensional refrigeration system. The simulation comparison revealed the influence of the weighted Predicted Mean Vote control strategy on the system’s thermodynamic parameters and energy-saving potential. Results showed that the compressor power consumption of the Predicted Mean Vote control strategy was reduced by 9.1%-33.7%, compared with the method of presetting specific temperatures. The proposed one- and three-dimensional coupling method of cabin thermal management establishes the structured correlation between heat pump air conditioning system and cabin thermal environment. The weighted Predicted Mean Vote control strategy reduces the system power consumption within the thermal comfort range of the passengers, and it provides a novel idea for cabin thermal management during practical engineering.