S
Siyue Guo
Researcher at Tsinghua University
Publications - 26
Citations - 1054
Siyue Guo is an academic researcher from Tsinghua University. The author has contributed to research in topics: China & Energy consumption. The author has an hindex of 9, co-authored 20 publications receiving 510 citations.
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Journal ArticleDOI
Development of bottom-up model to estimate dynamic carbon emission for city-scale buildings
TL;DR: Wang et al. as mentioned in this paper developed a bottom-up model based on the dynamic material flow principle and urban building energy models to predict the dynamic development of the size, composition, energy consumption and carbon emissions of building stock in city-level by 2060.
Journal ArticleDOI
An improved method for direct incident solar radiation calculation from hourly solar insolation data in building energy simulation
TL;DR: In this article, an improved method adopting a new algorithm for estimating the solar irradiance is proposed, which assumes that the sun irradiance changes linearly within a 1-h period and can be estimated based on the sun's irradiance at the half clock and slope.
Journal ArticleDOI
Exploring cooling pattern of low-income households in urban China based on a large-scale questionnaire survey: A case study in Beijing
TL;DR: In this paper, an online questionnaire survey was conducted, and 481 replies were collected based on the questionnaire results, which reveals the cooling pattern of low-income households, classifies the key items to identify vulnerable households, and proposes the effective ways to improve the cooling effect and solve cooling poverty.
Book ChapterDOI
Development of Prototype Building Model in Beijing Based on Actual Energy Consumption
TL;DR: This research focuses on prototype building models in China and established prototypeBuilding models in Beijing, considering the factor that people in China using the natural ventilation to improve the indoor environment and shows that it can be a foundation for building energy consumption simulation research.
Journal ArticleDOI
Vertical meteorological patterns and their impact on the energy demand of tall buildings
TL;DR: In this paper, the authors explored vertical meteorological patterns using hourly dry-bulb temperature, relative humidity, and wind speed data from 2007 to 2017 for a 325m meteorological tower in Beijing.