Thermal comfort in mixed-mode buildings: A field study in Tianjin, China

Jia, Xinyu; Cao, Bin; Zhu, Yingxin; Liu, Bing

doi:10.1016/j.buildenv.2020.107244

Cited by 13 publications

(12 citation statements)

References 25 publications

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“…Consequently, to the above, this thermal gain is presented in large part by the heat transfer obtained between the outside and inside of the enveloping walls by means of transmittance and solar gains (see Figure 7). Using PPD Vs PMV [44], [45], rendering to ASHRAE 55 [46], establishes that thermal comfort is achieved on the basis of a satisfaction rate of the inhabitants greater than 80%. The excess share of people can feel 10% body dissatisfaction.…”

Section: Discussionmentioning

confidence: 99%

Assessing the thermal performance of a conventional architecture in a dry warm climate

Villabona

Terés-Zubiaga

Maldonado

et al. 2021

Heritage and Sustainable Development

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In this article, we present the results of the evaluation of the thermal performance of a conventional home in a dry warm climate, a case study in Bucaramanga, Colombia. This simulation, evaluation, and analysis make it necessary since currently in the case study area there is no thermal assessment of the dwellings, which are old houses built with resistive and mechanical analyses, but without regard to thermal behavior or thermal housing comfort. This evaluation is done by means of software simulation. Thus, a valid simulation identifies the weather data present in a dry warm climate zone and determines the geographical location and behavior in the solar diagram. Likewise, the thermal characterization of the soil and the construction materials of support and envelopes of the architecture is performed, to establish its thermal transmittance, thermal resistance, and thermal capacity. As a result of the research, the thermal behavior of the house is presented by means of the calculations made that determine the thermal behavior of the envelopes, energy load balancing, and housing thermal comfort based on the ASHRAE 55 standard by Fanger's method. Consequently, with the above, the results of the simulation and a detailed analysis of the recorded data are presented in the document.

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Section: Discussionmentioning

confidence: 99%

Assessing the thermal performance of a conventional architecture in a dry warm climate

Villabona

Terés-Zubiaga

Maldonado

et al. 2021

Heritage and Sustainable Development

View full text Add to dashboard Cite

show abstract

“…Many researchers studied the change-over mixed-mode buildings in terms of system feasibility, operating strategies, energy-saving potentials, and thermal performance, including indoor air quality or the thermal comfort of occupancy [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Ezzeldin and Rees [21] simulated the performance of various mixed-mode ventilation and other lowenergy cooling systems for a prototype office building with different levels of internal heat gain operated in four representative arid climates.…”

Section: Introductionmentioning

confidence: 99%

“…They found that the hybrid system saved significant fan energy and reduced cooling loads in all climates but often resulted in higher heating loads. Jia et al [24] conducted a field study to compare the applicability of Fanger's Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) model and the adaptive model in a mixed-mode office building in Tianjin, China. They found that the adaptive model is more applicable to a mixed-mode building that has the potential to be used in mid-latitude temperate regions, if well designed.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Mixed-Mode Ventilation Thermal Performance and Energy Saving Potential from Retrofitting a Beijing Office Building

et al. 2022

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Mixed-mode cooling can effectively reduce the energy consumption of building cooling while satisfying the thermal comfort of occupancy and indoor air quality requirements. This paper predicted the thermal performance and energy-saving potential of an existing Beijing office building (in continental climates) operated in a mixed-mode from April to October. For the natural ventilation mode, the results predicted by simulation were validated with the results of experiments conducted in October 2021 and April 2022. Occupancy thermal comfort of the mixed-mode building was predicted using Predicted Mean Vote (PMV) and adaptive comfort models. The predictions demonstrated acceptable satisfactory thermal comfort for the occupancy. The results showed that the mixed-mode building’s annual cooling energy use is reduced by around 45% compared to the air-conditioned building. In addition, the building’s indoor temperature and velocity distributions were predicted using a Computational Fluid Dynamics (CFD) simulation. The validation showed a satisfactory agreement between CFD simulation and measurement data. It is found from CFD results that cross-ventilation can provide thermal comfort for the occupancy while improving fresh air requirements. The suggested that operational strategies of mixed-mode cooling can be used in office buildings in continental climates. Retrofitting the existing office building can bring a significant amount of energy saving.

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“…In the same research line, Jia, X. et al [24] noted that: "...there is no consensus among previous studies on how to assess thermal comfort on occupants in mixed mode (MM) buildings. This study aims at comparing the PMV-PPD and the adaptive model applicability in MM buildings and assessing if the occupants' thermal perception varies with different functioning modes...".…”

Section: Introductionmentioning

confidence: 99%

“…Sun et al[19] Martínez-Molina et al[20,22] Forgiarini, R. and Ghisi, E [23]. Jia, X. et al[24] Gallardo, A. et al[25] Piasecki, M. et al[26]…”

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confidence: 99%

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

2021

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

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Thermal comfort in mixed-mode buildings: A field study in Tianjin, China

Cited by 13 publications

References 25 publications

Assessing the thermal performance of a conventional architecture in a dry warm climate

Assessing the thermal performance of a conventional architecture in a dry warm climate

Evaluation of Mixed-Mode Ventilation Thermal Performance and Energy Saving Potential from Retrofitting a Beijing Office Building

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

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