The Experts below are selected from a list of 6531 Experts worldwide ranked by ideXlab platform
Torsten Richter - One of the best experts on this subject based on the ideXlab platform.
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accurate prediction of heating energy demand of courtyard s surrounding envelopes using Temperature Correction Factor
Energy and Buildings, 2019Co-Authors: Aysan Forouzandeh, Torsten RichterAbstract:Abstract It is widely accepted that the climatic Factors—including solar load, wind flow pattern and external air Temperature—strongly affect building energy consumption. Meanwhile, the microclimate of semi-closed spaces between buildings has direct and indirect consequences on heat transfer through building envelopes. This study demonstrates how courtyard configuration can modify the climate and external air Temperature and how the microclimate condition can be considered for functionally accurate calculation of heat loss and thermal loads of buildings. Based on the experimental and computational results, increasing the courtyard's depth by restricting the sky view Factor (SVF) and the heat exchange with courtyard's outside at low levels, creates the individual microclimate. The thermal environment of this middle space is affected more than outside by surrounding rooms and the thermal properties of the building walls. The findings, which are limited to experimental cases in the Hanover climate region, propose to consider the Temperature of courtyard depending on its aspect ratio and glazing percentage with a Temperature Correction Factor (Fx, Heat load) between 0.9 to 2.2.
Aysan Forouzandeh - One of the best experts on this subject based on the ideXlab platform.
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accurate prediction of heating energy demand of courtyard s surrounding envelopes using Temperature Correction Factor
Energy and Buildings, 2019Co-Authors: Aysan Forouzandeh, Torsten RichterAbstract:Abstract It is widely accepted that the climatic Factors—including solar load, wind flow pattern and external air Temperature—strongly affect building energy consumption. Meanwhile, the microclimate of semi-closed spaces between buildings has direct and indirect consequences on heat transfer through building envelopes. This study demonstrates how courtyard configuration can modify the climate and external air Temperature and how the microclimate condition can be considered for functionally accurate calculation of heat loss and thermal loads of buildings. Based on the experimental and computational results, increasing the courtyard's depth by restricting the sky view Factor (SVF) and the heat exchange with courtyard's outside at low levels, creates the individual microclimate. The thermal environment of this middle space is affected more than outside by surrounding rooms and the thermal properties of the building walls. The findings, which are limited to experimental cases in the Hanover climate region, propose to consider the Temperature of courtyard depending on its aspect ratio and glazing percentage with a Temperature Correction Factor (Fx, Heat load) between 0.9 to 2.2.
C C Chan - One of the best experts on this subject based on the ideXlab platform.
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apply a piece wise peukert s equation with Temperature Correction Factor to nimh battery state of charge estimation
Journal of Asian Electric Vehicles, 2010Co-Authors: Chunbo Zhu, C C ChanAbstract:Battery state of charge is related with available capacity. Battery available capacity varies with Temperature and discharge current. A good way to forecast available capacity is Peukert’s equation. In order to verify the practicability of Peukert’s equation at room Temperature and low Temperature, 1/3C, 1C, 2C, 3C rate discharge experiments were undertaken. The result indicates Peukert’s equation is suitable for estimating available battery of NiMH battery in 25 °C. The result also indicates, at low Temperatures, Peukert’s equation is practical for NiMH battery at low current and unpractical in high current. Based on the result, a piece-wise Peukert’s equation with Temperature Correction Factor to NiMH Battery State of Charge (SOC) estimation has been proposed. The proposed method improves the precision of SOC estimantion.
Mingjiang Zhang - One of the best experts on this subject based on the ideXlab platform.
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state of charge estimation for li ion battery based on an improved peukert s equation with Temperature Correction Factor
Vehicle Power and Propulsion Conference, 2016Co-Authors: Dongsheng Jiao, Yuhang Liu, Chunxiao Hao, Yue Zhang, Mingjiang ZhangAbstract:Battery state of charge is related with available capacity. Battery available capacity varies with discharge current. Peukert's equation is a good way to estimate available capacity. But the practicability of Peukert's equation for Li-ion battery has to be verified. Especially, available capacity of Li-ion battery is influenced by Temperature obviously. In this paper, discharge experiments under different current are undertaken at room Temperature 25℃, and the Peukert coefficients n and k are calculated by available capacities and discharge times at the maximum discharge current and the minimum current. The result indicates battery available capacity estimated by Peukert's equation is practical in 25℃. In order to verify the practicability of Peukert's equation for Li-ion battery at low Temperatures, these discharge experiments are done at low Temperature. The result indicates, at low Temperatures, Peukert's equation is practical for Li-ion battery at low current and unpractical in high current. An improved Peukert's equation with Temperature Correction Factor for the Li-ion battery is proposed. The calculated data catch well with experimental data.
Liang Zhou - One of the best experts on this subject based on the ideXlab platform.
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Temperature Correction Factor for pavement moduli back calculated from falling weight deflectometer test
14th COTA International Conference of Transportation ProfessionalsChinese Overseas Transportation Association (COTA)Central South UniversityTransporta, 2014Co-Authors: Liang ZhouAbstract:Falling Weight Deflectometer (FWD) deflections were collected from four in-service pavements in Shanghai. Moduli backcalculated with MODULUS 6.0 from all sites were used to develop the Temperature Correction Factor. For validation purpose, moduli were obtained from a newly reconstructed pavement. Resilient moduli conducted with MTS 810 were used to verify the Correction Factor. There is a good exponential relationship between the pavement layer modulus and the asphalt layer Temperature. The Temperature Correction Factor in Shanghai is proposed. Comparisons with other reported Temperature Correction Factor show satisfying agreement, the maximal difference error for two Correction Factors is 6.788% at the Temperatures lower than 20°C. The differences between corrected moduli and measured moduli tested in August and December are 712MPa and 1503MPa, respectively. The discrepancies between two moduli are due to the FWD test time and test site, and the mechanic states of the field and laboratory test.
