The influence of relative humidity on adaptive thermal comfort

Vellei, Marika; Herrera, Manuel; Fosas, Daniel; Natarajan, Sukumar

doi:10.1016/j.buildenv.2017.08.005

Cited by 138 publications

(72 citation statements)

References 75 publications

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“…Relative humidity reflects the saturation of moisture in the atmosphere and has an impact on surface water, energy budgets, formation of aerosols, growth of plants and animals, etc. [27,28]. Wind speed depicts the movement of atmosphere and its influence affects other weather phenomena like precipitation, smog [29,30].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Jun

Shanguan

Liu

et al. 2018

Water

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Multisource reanalysis datasets provide an effective way to help us understand hydrological processes in inland alpine regions with sparsely distributed weather stations. The accuracy and quality of two widely used datasets, the China Meteorological Assimilation Driving Datasets to force the SWAT model (CMADS), and the Climate Forecast System Reanalysis (CFSR) in the Qinghai-Tibet Plateau (TP), were evaluated in this paper. The accuracy of daily precipitation, max/min temperature, relative humidity and wind speed from CMADS and CFSR are firstly evaluated by comparing them with results obtained from 131 meteorological stations in the TP. Statistical results show that most elements of CMADS are superior to those of CFSR. The average correlation coefficient (R) between the maximum temperature and the minimum temperature of CMADS and CFSR ranged from 0.93 to 0.97. The root mean square error (RMSE) for CMADS and CFSR ranged from 3.16 to 3.18 °C, and ranged from 5.19 °C to 8.14 °C respectively. The average R of precipitation, relative humidity, and wind speed for CMADS are 0.46; 0.88 and 0.64 respectively, while they are 0.43, 0.52, and 0.37 for CFSR. Gridded observation data is obtained using the professional interpolation software, ANUSPLIN. Meteorological elements from three gridded data have a similar overall distribution but have a different partial distribution. The Soil and Water Assessment Tool (SWAT) is used to simulate hydrological processes in the Yellow River Source Basin of the TP. The Nash Sutcliffe coefficients (NSE) of CMADS+SWAT in calibration and validation period are 0.78 and 0.68 for the monthly scale respectively, which are better than those of CFSR+SWAT and OBS+SWAT in the Yellow River Source Basin. The relationship between snowmelt and other variables is measured by GeoDetector. Air temperature, soil moisture, and soil temperature at 1.038 m has a greater influence on snowmelt than others.

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Section: Introductionmentioning

confidence: 99%

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Jun

Shanguan

Liu

et al. 2018

Water

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“…Experienced analysts may use a strategic model to frame the parameters of debate. For instance, they may treat the model as an opportunity to inform project stakeholders on recent research in adaptive comfort [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], advocating for natural ventilation principles to be incorporated into the schematic design. In such a case, the analyst may try to show the cumulative influence of passive design measures on the floating or free-running temperature; that is, how the interior temperature evolves without active thermostatic control.…”

Section: Strategic Modelsmentioning

confidence: 99%

The Optimal Tuning, within Carbon Limits, of Thermal Mass in Naturally Ventilated Buildings

Craig¹

2019

Preprint

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What proportions should a thermally massive building have? How should the thermal mass be distributed? Should the "massing" change with the choice of material? This paper shows how to optimize the physical proportions of a building so that it synchronizes ambient heat exchanges in a natural feedback cycle. An internal mass is thermally coupled with buoyancy ventilation; the cycle is driven by the daily swing of outdoor temperature. Tripling up functions in this way—so that structural materials can reliably cool and power the ventilation for buildings—could help decarbonize the construction industry and provide an effective strategy for adapting to life-threatening heatwaves. Based on harmonic analysis, the method allows designers to thermally tune the form and mass of a building to meet chosen targets for temperature and ventilation in free-running mode. Once the optimal balance of exchange rates is known, design teams can proportionally vary the building height and ventilation openings against the surface area and thickness of an internal thermal mass. The possible permutations are infinite but parametrically constrained, allowing teams to fairly compare the functional and environmental credentials of different construction materials while they produce and evaluate preliminary options for organizing the exterior form and interior spaces of a building. An example study suggests that thin-shell structures of minimum weight, and even timber buildings, may be optimally tuned to produce ample ventilation and temperature attenuation.

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“…The influence of other room parameters such as, for example, the relative humidity on the adaptive thermal comfort is not included in the model utilised. This is an area of ongoing research [37] and no widely accepted adaptive thermal comfort models that include relative humidity exist as yet.…”

Section: Thermal Comfort Analysismentioning

confidence: 99%

A parametric building energy simulation case study on the potential and limitations of passive design in the Mediterranean climate of Malta

et al. 2018

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The present case study sets out to investigate the potential and limitations of passive building design in a typical Mediterranean climate. The Maltese Islands were taken as the case study location. Assuming a fully detached, cuboid-shaped, generic multi-storey office building, one representative storey was modelled by means of the building energy simulation code WUFI®Plus. Thermal comfort was analysed based on the adaptive acceptable operative room temperature concept of EN 15251 for buildings without mechanical cooling systems. Assuming neither artificial heating nor cooling, the free-running operative room temperature was evaluated. By means of a parametric study, the robustness of the concept was analysed and the impact of orientation, window to wall area ratio, glazing, shading, thermal insulation, nighttime ventilation and thermal mass on the achievable level of thermal comfort is shown and discussed. It is concluded that in a well-designed building and by means of decent insulation (present case: Uwall = 0.54 W/(m2 · K)), double glazing, variable external shading devices and passive cooling by nighttime ventilation, a high level of thermal comfort is achievable in this climate using only very minor amounts of energy for artificial heating and cooling or possibly even none at all.

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The influence of relative humidity on adaptive thermal comfort

Cited by 138 publications

References 75 publications

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

Evaluation and Hydrological Simulation of CMADS and CFSR Reanalysis Datasets in the Qinghai-Tibet Plateau

The Optimal Tuning, within Carbon Limits, of Thermal Mass in Naturally Ventilated Buildings

A parametric building energy simulation case study on the potential and limitations of passive design in the Mediterranean climate of Malta

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