با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Dynamic occupant density models of commercial buildings for urban energy simulation
مدلهای چگالی اشغال پویا ساختمانهای تجاری برای شبیه سازی انرژی شهری-2020 The number of occupants and its changing pattern over time are key information for building and urban energy
simulation. However, the commonly used assumption and simplification of a fixed occupancy schedule does not
reflect the complicated reality, leading to significant errors in energy simulation. Therefore, dynamic occupant
density models which describe the real-world situation more accurately should be developed. This paper presents
a methodology to develop such a model for commercial buildings and expand it from the building level to urban
level. First, a total of 2275 commercial buildings in Nanjing, a major city in China, are identified and classified
into three sub-categories using Points of Interest and logistic regression. Then field measurement is conducted to
obtain the hourly occupant density for 12 sample commercial buildings. The building-level dynamic occupant
density model is developed by fitting normal distribution functions into the measured data. Finally, transportation
accessibility and population level, two urban parameters, are defined and used to expand the buildinglevel
occupant density model to the urban-level one. The dynamic urban-level occupant density model is verified
for all three sub-categories of commercial buildings and the overall results are acceptable. Keywords: Big data | Commercial buildings | Urban-level | Dynamic occupant density models |
مقاله انگلیسی |