Use Of Air Conditioning Research Articles

ANALYSIS OF ENERGY EFFICIENCY RATIO (EER) IN AIR CONDITIONER (AC) TYPE SPLIT

Cooling system is something that is already familiar to the people of Indonesia, both in domestic and industrial use. The cooling system functions to reduce the temperature of a room so that the temperature is as desired. The development of air conditioners is increasingly modern. The use of air conditioners (AC) is growing rapidly so that the CFCs produced affect the environment which can cause the ozone layer to be damaged and cause global warming. Therefore, there is a need for research related to the level of energy use. This study discusses the Energy Efficiency Ratio test to realize a government program that is family one number testing. Retrieval of data in this report is by testing the split type air conditioner, where this test aims to obtain an energy-saving star label on the air conditioner. All tests are carried out at the AC Chamber Laboratory located at the Center for Energy Conversion Technology (B2TKE) - BPPT which is a professional energy conversion testing center in Indonesia. The testing process is carried out in a structured way from initial checking of test materials, preparation of tests, testing to analysis of test results. Based on the test analysis results, it can be concluded that the Energy Efficiency Ratio (EER) value to get the energy saving sign star label and the test results obtained the Energy Efficiency Ratio (EER) value of 11,805 Btu / h and get a four star.

Typical energy-related behaviors and gender difference for cooling energy consumption

Abstract The aim of the study is to identify male and female typical energy-related behaviors that have a great influence on energy consumption, which provides reference for building designers and policy makers. Previous studies focused on investigating the influence of one or two specific kinds of energy-related behaviors on building energy consumption. Besides, significant differences between females and males regarding energy-related behaviors have been highlighted in many studies. However, an integrated and in-depth analysis of typical energy-related behavior and gender difference for cooling energy consumption is yet to be conducted. To fill this research gap, this paper investigated correlation between cooling energy consumption and energy-related behaviors with empirical data for different genders, and identified male and females’ typical energy-related behaviors respectively by applying data mining approach. Data concerning energy use and energy-related behaviors were collected from Energy Management System and questionnaire respectively. Results show that there are significant differences in cooling energy consumption between genders. For both males and females, the daily average hours of air conditioning utilization, electric fans usage instead of air conditioner, and the ratio of occupancy in rooms are typical behaviors influencing cooling energy consumption. The comparative study between genders indicates that the frequency of air conditioner use is a typical behavior influencing cooling energy consumption, especially for females. However, thermal preferences have more noticeable influence on cooling energy consumption for males than females. The study not only helps improve modeling accuracy of occupant behavior in design simulation, but also helps prioritize efforts to guide occupant behavior in order to reduce building energy consumption in operation stage.

Stock Returns, weather, and air conditioning.

This study investigates the relationship between stock returns and local weather through a new channel—the influence of the air-cooling system installed in the New York Stock Exchange (NYSE). To our knowledge, we are the first to employ the use of air conditioning to examine whether and how weather, especially excessively high temperature, and other factors affect stock returns. Using data for 1885–1914, we show that lower Dow Jones Average (DJA) returns were significantly associated with hotness before the NYSE trading rooms were equipped with the cooling system in 1903, whereas this correlation is largely weakened afterward. We also find that before the introduction of the air-cooling system, the negative effect of high temperatures on stock returns was stronger when the precipitation was lower. We obtain consistent results when controlling for the calendar anomalies such as the May-to-October effect, the Monday effect, and the effect of macroeconomic conditions.

Нормализация теплового режима протяженных тупиковых выработок при высоких температурах пород на основе шахтных передвижных кондиционеров

Thermal working conditions in the deep mines of Donbass are the main deterrent to the development of coal mining in the region. Mining is carried out at the lower technical boundaries at a depth of almost 1,400 m with a temperature of rocks of 47.5-50.0 °C. The air temperature in the working faces significantly exceeds the permissible safety standards. The most severe climatic conditions are formed in the faces of blind development workings, where the air temperature is 38-42 °С. It is due to the adopted coal seam mining systems, the large remoteness of the working faces from the main air supply openings, the difficulty in providing blind workings with a calculated amount of air due to the lack of local ventilation fans of the required range. To ensure thermodynamic safety mine n.a. A.F.Zasyadko we accepted the development of a draft of a central cooling system with ground-based absorption refrigerating machines with a total capacity of 9 MW with the implementation of the three types of generation principle (generation of refrigeration, electrical and thermal energy). However, the long terms of design and construction and installation work necessitated the use of mobile air conditioners in blind development faces. The use of such air conditioners does not require significant capital expenditures, and the terms of their commissioning do not exceed several weeks. The use of a mobile air conditioner of the KPSh type with a cooling capacity of 130 kW made it possible to completely normalize the thermal working conditions at the bottom of the blind workings 2200 m long, carried out at a depth of 1220-1377 m at a temperature of host rocks 43.4-47.5 °С. It became possible due to the closest placement of the air conditioner to the face in combination with the use of a high-pressure local ventilation fan and ducts, which ensured the air flow produced by the calculated amount of air. The use of the air conditioner did not allow to fully normalize the thermal conditions along the entire length of the blind face but reduced the urgency of the problem of normalizing the thermal regime and ensured the commissioning of the clearing face.

Detection and identification of dust mite allergens in the air conditioning filters in Chandigarh, India.

Modern lifestyle with the increasing use of air conditioner (AC) has been linked with breathing difficulties, irritation, dryness, and other symptoms. Hence, dust mites were isolated from AC filters, which causes allergic diseases. A total of 95 dust samples were collected from AC filters from hospitals, guest house, office, school, and homes in Chandigarh, India. The highest concentration of dust mites was detected from hospitals (9/g), offices (7/g), households (6/g), guest houses (3/g), and schools (0/g). Based on the morphology of dust mites observed under a light microscope, Dermatophagoides and Acarus species were found most common. Indoor air quality was also monitored to find out their relation with dust mites present in AC filters. Further, the respiratory health status of indoor facility users was also assessed using a standard questionnaire as a study tool. It was seen that 55.3% of male among the total respondents were having an allergy and only 44.7% of the females had an allergy. The allergy among the male respondents (55.3%) was significantly more (p < 0.05) in comparison with female respondents (44.7%). Some of the respondents also reported a family history of rhinitis (31.9%), asthma (12.8%), recurrent urticaria (6.4%), and conjunctivitis (6.4%). Interestingly, 23.4% of study participants reported that they get disturbed by the use of AC and house dust was found to be the most triggering factor in enhancing the symptoms of allergy. Thus, it is recommended that air conditioner filters should be cleaned regularly to prevent the accumulation of the dust mites and related allergens on filter dust.

When it is not about the money: Social comparison and energy conservation among residents who do not pay for electricity

We conducted two field experiments to promote summer electricity conservation among low-to-moderate income households that do not pay for energy. Both experiments were conducted during summer months when electricity use increases, and both focused on reducing use of air-conditioning. Study 1 delivered face-to-face communications that provided normative feedback (comparison to neighbors’ energy use), an indoor ambient room thermometer, energy saving tips to reduce window air-conditioning use, free compact fluorescent lamps (CFLs), and a written commitment. Results showed a reduction in average summer electricity use of 2.7% compared to a control condition. Study 2 eliminated the face-to-face contact by instead providing materials under residents’ doors. Study 2 compared a revised normative feedback condition to a revised normative feedback plus intrinsic prime condition (that connected energy use, smog, and childhood asthma) to a no contact control condition. The revised normative feedback condition resulted in short-term average electricity reductions of 5.8% and longer term (12 months) average electricity reductions of 5.3%. The revised normative feedback plus intrinsic prime condition resulted in average short-term savings of 1.4% but no evidence for longer-term savings. Combined, the results show that normative strategies can promote electricity conservation in living situations where there is no direct financial benefit. These results are relevant for a range of contexts pertaining to residents who do not pay for their energy usage. These two experiments advance the understanding of normative research in the social sciences to promote energy conservation in the absence of financial benefits.

Agent-based model for simulating building energy management in student residences

Reducing energy consumption in buildings through behavioural changes has been regarded as a relatively low-cost and sustainable method. However, studies that focus on occupant building energy consumption in student residences are few. In the context of shared residences, the energy behaviour could be very different. This is because student–student and student–building system interactions are complex. To address this research gap, this study developed an agent-based simulation model regarding students as heterogeneous individuals. Simulation parameters include student basic information, status of staying at dormitories and applicances using behaviours. All data were obtained from a university campus in Shenzhen, China. Energy-saving scenarios under different strategies were simulated, including different energy-saving strategies and interaction behaviour energy-saving advertising. Results show that (1) occupancy is the most important factor for dormitory energy consumption; (2) reducing the time of air conditioner use has the largest impact on energy-saving; (3) reducing computer standby time has a great energy-saving potential; (4) students’ attitude and awareness of energy conservation and the communication and exchange of energy information amongst students play an important role in energy saving. According to these results, the university can take measures to promote energy saving, which include strengthening education, establishing a energy saving championship system for dormitory energy consumption and implementing a reward-and-punishment mechanism.

A pilot study of thermal comfort in subtropical mixed-mode higher education office buildings with different change-over control strategies

Change-over mixed-mode buildings prevent the concurrent use of air-conditioners and operable windows, thus are energy-efficient. Based on automation levels for mixed-mode control, change-over mixed-mode buildings can be classified into three types: automated, semi-manual, and manual. The objective of this research was to conduct a pilot study on the effects of different change-over mixed-mode control strategies on building occupants' thermal perception and comfort, as well as develop adaptive comfort models for mixed-mode buildings with different change-over control strategies in subtropical climates. Occupants from three types of mixed-mode control buildings were surveyed about their real-time thermal perception, while indoor environmental conditions were recorded simultaneously for a period from summer to winter. Although an overlooked factor in previous studies, this pilot study suggests that change-over control strategy may significantly affect thermal perceptions in mixed-mode buildings. Occupants who had limited control over thermal environments showed less sensitivity to outdoor conditions regardless of operation modes. In buildings where, users had a full control, a clear distinction in thermal sensation was observed when the system switched between air conditioning and natural ventilation modes. The adaptive thermal comfort model seems to be more suitable and applicable for semi-manually and manually controlled mixed-mode buildings rather than for automatically controlled mixed-mode buildings.

Indoor air quality in substandard housing in Hong Kong

Sub-divided unit (SDU) provides substandard housing in Hong Kong by partitioning a small flat into several tiny units. With typical floor area of merely 9.3 m2, they often lack a partitioned kitchen. About 210,000 persons (2.9% of Hong Kong’s population) are living in 92,700 SDUs. Inserting extra partitions significantly suppress ventilation which was pushed below building standards to degrade indoor air quality (IAQ). This study monitored the concentrations of CO, CO2, PM10, PM2.5 and VOCs in eight typical SDUs for 48 h. The mean concentrations were 367 μg/m3, 1216 mg/m3, 22 μg/m3, 14 μg/m3 and 794 μg/m3 respectively. PM10 and VOC concentrations exceeded Hong Kong IAQ objectives (excellent class) by 1.10 and 3.89 times respectively. Indoor and outdoor CO, PM10 and PM2.5 concentrations had no significant correlation. Cooking and air conditioning use notably controlled IAQ. During open-plan cooking, spread of fumes pushed maximum PM10 and PM2.5 concentrations to exceed 1000 and 500 μg/m3 respectively to threaten the health of occupants especially children. CO2 and VOCs rapidly accumulated during AC use, reaching over 3000 mg/m3 and 2000 μg/m3 respectively. Timely interventions are needed to reduce impacts on tenant’s health and provide healthy affordable housing to low-income families.

The Impact of Japan Heatwave on Community Emergency Medicine in 2018

Introduction:Due to the heatwave in Japan, the number of patients with heatstroke transported via ambulance hit the highest record according to the Tokyo fire department in 2018. Now, heatwaves are thought to be a natural disaster. Emergency medical professionals located in a Tokyo suburb covering 40,000 individuals experienced a wide range of challenges in patient care with heatstroke.Aim:To assess the impact of the 2018 Japan heatwave on community emergency medical service.Methods:Patients (aged ≥ 16 years) with heatstroke and who were transported to our hospital by ambulance from June to September of 2018 were included. Data were derived from prehospital records and electronic medical records. Weather data was referenced from a Japanese meteorological agency.Results:The number of all-cause cases was 1,764, and the total number of heatstroke cases was 51 (2.9%). Heatstroke cases were concentrated in July and August of 2018. The rate of males was 69%. The average age was 63 ± 23 years. Physical labor was associated with 31% of cases, such as sports in 7.8%. Hospitalization was required in 24%. ICU admission was required in 9.8%. There was no fetal case directly caused by heatstroke in this survey.Discussion:The risk factors of heatstroke considered to be male and elderly. About one-half of heatstroke patients were over 70 years old, and it may have been related to regional characteristics. As mentioned in the Heatstroke STUDY 2012 (Miyake, 2014), most cases which occurred inside residences were found that there was no air conditioner use. There was also an increased number of patients with heatstroke who made emergency visits by themselves. Further investigation is needed annually to estimate the effect of climate change. It is important to make a strong recommendation from public health agency about heatstroke prevention, including air conditioner use during hot weather.

Active Noise Reduction using LMS and FxLMS Algorithms

In recent times, the use of industrial Heating, Ventilation, and Air Conditioning (HVAC) systems has had a substantial increase due to various social-economic reasons. Various studies are conducted to address the concerns of noise generated by HVAC systems in particular from compressors; noise pollution affects the environment we live in and should therefore be mitigated as much as possible. For this purpose, an active noise reduction system is introduced to help alleviate noise levels at both low and high frequency ranges of the HVAC system. This paper demonstrates an implementation of Active Noise Reduction (ANR) system using Least Mean Square (LMS) and Filtered-x Least Mean Square (FxLMS) algorithms, which have been tested based on simulated noise scenarios. A comparison between both algorithms will be performed based on simulation of different frequency ranges which closely resembles the operating scenario of the industrial HVAC systems. Also, different values of step-size affecting the processing of the ANR system during the convergence rate and stability state will also be investigated and discussed.

CFD simulations of natural cross ventilation through an apartment with modified hourly wind information from a meteorological station

Natural ventilation in buildings can improve indoor air quality and thermal comfort and reduce air-conditioning use except for highly polluted area. Traditionally, the inflow boundary conditions for calculating natural ventilation used weather data from a meteorological station that is often in a suburb. The use of hour-by-hour wind velocity from the station may give rise to some errors because of the large time step. This investigation proposed a correlation method for converting the hour-by-hour wind velocity from a meteorological station to minute-by-minute velocity, using data measured on the rooftop of the building of interest. A CFD simulation with the coupled modeling method using the unsteady RNG k-ɛ model was performed to calculate airflow around the building and airflow in an apartment simultaneously. The computed outdoor wind velocity and indoor ventilation rate were compared with the corresponding experimental data. The results showed that the simulations calculated the outdoor wind velocity on the building rooftop and the cross-ventilation rate through the apartment with acceptable accuracy.

Assessment of CO2-based demand controlled ventilation requirement for a flexible work environment with ductless split air conditioners

Use of ductless split air conditioners in small workspaces leads to accumulation of carbon dioxide due to the absence of fresh air entry. Additional mechanical ventilation is required to meet the ASHRAE standard. Providing constant-rate ventilation would reduce the CO2 concentration but would lead to high energy consumption when there is variation in occupant density. Instead, demand-controlled ventilation, that is, ventilation rate linked with the occupant density, can reduce energy consumption and maintain adequate indoor air quality. The purposes of this study were to quantify the temporal variation of CO2 in a workspace, to determine the factors influencing the demand-controlled ventilation strategy, and to assess its performance in workspaces with flexible work environment (varying occupant density with time). A parametric study on demand-controlled ventilation design indicates that the ventilation cycle time depends significantly on the occupant density and the range of threshold levels of CO2. The occupants can decide the lower CO2 threshold level based on the requirements. Use of a lower CO2 threshold limit of 700 ppm in a typical workspace with varying occupant density resulted in an energy saving of around 90% when compared with the ventilation rate required by ASHRAE 62.1. The assessment would be helpful in identifying the workspaces that do not require external ventilation. The ventilation design strategy thus developed would help the building managers in improving indoor air quality and lowering energy costs when compared with the constant rate ventilation system.

Path Analysis of Energy-Saving Technology in Yangtze River Basin Based on Multi-Objective and Multi-Parameter Optimisation

The Yangtze River Basin in China is characterised by hot- and cold-humid climates in summer and winter, respectively. Thus, increased demand for heating and cooling energy according to the season, as well as poor indoor thermal comfort, are inevitable. To overcome this problem, this study focused on the influence of passive design and heating, ventilation, and air conditioning equipment performance on the energy performance of residential buildings, and explored potential energy-saving technology paths involving passive design and improved coefficient of performance through a multi-objective and multi-parameter optimisation technique. A large-scale questionnaire survey covering a typical city was first conducted to identify family lifestyle patterns regarding time spent at home, family type, air conditioner use habits, indoor thermal comfort, etc. Then, the actual heating and cooling energy consumption and information of model building were determined for this region. Subsequently, the design parameters of an individual building were simulated using Energyplus to investigate the cooling and heating energy consumption for a typical residential building with an air conditioner. The results indicated an improvement of approximately 30% in energy efficiency through optimisation of the external-wall insulation thickness and the external-window and shading performance, and through use of appropriate ventilation technology. Thus, a multi-objective and multi-parameter optimisation model was developed to achieve comprehensive optimisation of several design parameters. Experimental results showed that comprehensive optimisation could not only reduce cooling and heating energy consumption, but also improve the thermal comfort level achieved with a non-artificial cooling and heating source. Finally, three energy-saving technology paths were formulated to achieve a balance between indoor thermal comfort improvement and the target energy efficiency (20 kWh/(m2·a)). The findings of this study have implications for the future design of buildings in the Yangtze River Basin, and for modification of existing buildings for improved energy efficiency.

Strategies for thermal comfort in university buildings - The case of the faculty of architecture at the Federal University of Bahia, Brazil

Buildings constructed according to bioclimatic architectural principles in amenable climates have often experienced posterior interventions that have closed ventilation openings for the installation of air conditioning units.The present work sought to investigate the reasons for installing air conditioning equipment in buildings even under adverse economic conditions and with the awareness of their negative environmental implications. The Faculty of Architecture building at the Federal University of Bahia, located in the city of Salvador, Bahia State, Brazil, was the focus of the present investigation. It was determined that the lack of maintenance of the windows and window frames, and the closing of projected openings compromised natural ventilation.The study confirmed the adequacy of the architectural project in relation to the local climate, and in loco measurements likewise confirmed the efficiency of natural ventilation through the windows and other openings in the faculty room and classrooms examined. The results of the interviews concerning thermal comfort indicated that 53% of the users felt comfortable. Nonetheless, it was found that the building's windows and window frames were poorly maintained, compromising their ability to facilitate efficient natural ventilation and significantly diminishing the capacity for thermal regulation in the building.This study calls attention to the necessity of refining and improving the maintenance of university buildings to reduce the intensive use of artificial air conditioning in detriment to investments in projects that could lend priority to natural ventilation and the maintenance of good window operating conditions.

A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study

Large buildings cause more than 20% of the global energy consumption in advanced countries. In buildings such as hospitals, cooling loads represent an important percentage of the overall energy demand (up to 44%) due to the intensive use of heating, ventilation and air conditioning (HVAC) systems among other key factors, so their study should be considered. In this paper, we propose a data-driven analysis for improving the efficiency in multiple-chiller plants. Coefficient of performance (COP) is used as energy efficiency indicator. Data analysis, based on aggregation operations, filtering and data projection, allows us to obtain knowledge from chillers and the whole plant, in order to define and tune management rules. The plant manager software (PMS) that implements those rules establishes when a chiller should be staged up/down and which chiller should be started/stopped according different efficiency criteria. This approach has been applied on the chiller plant at the Hospital of León.

A case-centered behavior analysis and operation prediction of AC use in residential buildings

This study analyzed behaviors of occupants in residential buildings with a focus on physical environmental elements. To this end, collection and analysis of Air Conditioner (AC) use behavior data, as well as the prediction and validation of AC on–off state were conducted. For the collection of behavioral data collection, IR signals of AC remote were collected, based on which various AC adjustment behaviors (on–off, set-point temperature) that determines energy use, use rate, and set-point temperature were analyzed. Using the analysis, the AC use behavior was defined as on–off state prediction, and the difference between indoor and outdoor temperature was suggested as the standard for expressing AC use rate. Further, analyzing the duration of AC operation for each set-point temperature revealed that there are differences in AC operation propensities of respective units. Next, the collected data was used to predict and test AC on–off state. Three prediction algorithms (Logistic Regression, Random Forest, and Support Vector Machine) were applied, and the results of the cross-validation was evaluated using three criteria: F-measure, Cohen’s Kappa, on–off frequency. Results showed superior prediction performance of Random Forest. Despite the importance of resident behavior studies, there has been only a limited number of studies conducted on residential AC use behavior. The research process and analysis method in each step of this study is expected to be helpful for researchers hoping to conduct behavioral studies in the future.

Estimating the daily peak and annual total electricity demand for cooling in Vienna, Austria by 2050

Climate change is expected to increase temperatures worldwide and exacerbate urban heat load due to the urban heat island effect. Urban populations will be more exposed to climate change impacts on human health and mortality as compared to citizens living in rural areas. To adapt, urban populations will increase the use of air conditioning and an increase in electricity consumption for cooling is forecast.We use a top-down method, based on the hourly electricity consumption and daily temperatures for years 2015 and 2016 for 19 European countries, to estimate the future annual demand and daily peak demand for cooling in Vienna, Austria, until 2050. The estimation is based on an ensemble average of seven downscaled climate models under two climate scenarios (RCP4.5 and RCP8.5) and includes a factor for the increase in air conditioning penetration with climate change. The estimate of peak demand, inclusion of penetration and application to a locality make the study somewhat novel.Our results suggest that annual electrical energy for cooling in Vienna will increase from the current amount of 22 GWh/year to 95 (33–189) GWh/year by 2050 – with little difference during this time frame between RCP4.5 and RCP8.5. During the same period, peak electrical energy demand will increase to around 117 (64–191) MWh/day in 2050 from its current value of 65.5 MWh/day.

Optimization Study of Parametric Thermal Bimetal Material Module for Green Building in Tropical Humid Climate

The largest energy consumption that we use is the consumption of electrical energy in terms of meeting the lighting needs and building air conditioning requirements (World Energy Consumption, 2016). According to the Ministry of Energy and Mineral Resources (2017), Indonesia’s largest energy use in commercial buildings is for flight systems (63%), lighting systems (20%), vertical transportation (7%) electronic devices (10%). The use of energy in the fulfillment of excessive needs result in worsening conditions on earth. Data can be a reflection of how the condition of the earth that we live at this time. Energy savings should be made to reduce the damage already occurring on this earth such as electricity usage savings, optimization of use of materials, the use of motor vehicles that cause air pollution, and others. The way that can be used to reduce artificial energy use is to utilize the existing passive building design such as the use of solar energy that can be maximized during the day, so that the use of electrical energy for lamps and artificial air conditioning. reduced. In addition, it can also be considered the optimal use of wind direction and speed that can suppress the use of Air Conditioner (AC) in excess. Building envelope with bimetal thermal material module application is part of kinetic architecture via biomimicry approach. Kinetic architecture is a concept where buildings are designed to allow parts of buildings to move without compromising the unity of the structural system. Approaches that can be applied in green building design is by optimizing bimetal material module that utilizes the thermal coefficient of a material. With this approach, building envelopes are improvised so that they can adapt to the existing environment. This research take location of case study in Kampung Juminahan, Yogyakarta, Indonesia which has characters of comunal housing.

Risk Factors Associated with Dengue Virus Infection in Guangdong Province: A Community-Based Case-Control Study.

Dengue fever (DF) is a mosquito-borne infectious disease that is now an epidemic in China, Guangdong Province, in particular and presents high incidence rates of DF. Effective preventive measures are critical for controlling DF in China given the absence of a licensed vaccination program in the country. This study aimed to explore the individual risk factors for the dengue virus infection in Guangdong Province and to provide a scientific basis for the future prevention and control of DF. A case-control study including 237 cases and 237 controls was performed. Cases were defined for samples who were IgG-antibody positive or IgM-antibody positive, and willing to participate in the questionnaire survey. Additionally, the controls were selected through frequency matching by age, gender and community information from individuals who tested negative for IgG and IgM and volunteered to become part of the samples. Data were collected from epidemiological questionnaires. Univariate analysis was performed for the preliminary screening of 28 variables that were potentially related to dengue virus infection, and multivariate analysis was performed through unconditioned logistic regression analysis to analyze statistically significant variables. Multivariate analysis revealed two independent risk factors: Participation in outdoor sports (odds ratio (OR) = 1.80, 95% confidence interval (CI) 1.17 to 2.78), and poor indoor daylight quality (OR = 2.27, 95% CI 1.03 to 5.03). Two protective factors were identified through multivariate analysis: 2 occupants per room (OR = 0.43, 95% CI 0.28 to 0.65) or ≥3 occupants per room (OR = 0.45, 95% CI 0.23 to 0.89) and air-conditioner use (OR = 0.46, 95% CI 0.22 to 0.97). The results of this study were conducive for investigating the risk factors for dengue virus infection in Guangdong Province. Effective and efficient strategies for improving environmental protection and anti-mosquito measures must be provided. In addition, additional systematic studies are needed to explore other potential risk factors for DF.