Author
Siyue Guo
Bio: Siyue Guo is an academic researcher from Tsinghua University. The author has contributed to research in topics: Energy consumption & Greenhouse gas. The author has an hindex of 9, co-authored 20 publications receiving 510 citations.
Papers
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TL;DR: Wang et al. as mentioned in this paper conducted an online survey to study the urban residential energy and usage behavior, and found that the general trend in Chinese urban households is larger unit sizes (on average, 109m2 per household) and smaller families.
229 citations
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TL;DR: Wang et al. as discussed by the authors presented a China Building Construction Model (CBCM) based on a process-based life cycle assessment (LCA) approach and discussed the trends in energy consumption of and carbon emission regarding China's building construction sector from 2000 to 2016.
103 citations
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TL;DR: In this article, a new stochastic model based on the statistical analysis of measured overtime occupancy data from an office building is proposed and tested, which combines ASHRAE Guideline 14 and a proposed KS test for the calibration of the energy model during overtime.
103 citations
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TL;DR: In this paper, a bottom-up model was established, and the results showed the total energy consumption in the hot summer and cold winter zones (HSCW) and the influences of building envelops, heating equipment efficiency, and especially occupant behavior on energy use.
88 citations
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TL;DR: Wang et al. as mentioned in this paper used the China Building Energy Model (CBEM) to model China's building energy consumption and carbon emissions up to 2050 for different scenarios based on new trends in the building and energy sectors, as well as the role of occupant behavior.
86 citations
Cited by
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TL;DR: In this paper, the authors introduced the most recent advances and current obstacles in modeling occupant behavior and quantifying its impact on building energy use, including advancements in data collection techniques, analytical and modeling methods, and simulation applications which provide insights into behavior energy savings potential and impact.
401 citations
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TL;DR: The attempt to rethink occupant behavior and its role in building energy performance by means of review identifies four existing research gaps, namely the needs for understanding occupant behavior in a systematic framework, for stronger empirical evidence beyond individual buildings and at a larger city scale, and for linking occupant behavior to socio-economic and policy variables.
264 citations
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TL;DR: In this article, the authors present a review of the literature on human dimensions of building energy use to assess the state-of-the-art in this topic area and highlight research needs for fully integrating human dimensions into the building design and operation processes with the goal of reducing energy use in buildings while enhancing occupant comfort and productivity.
Abstract: The “human dimensions” of energy use in buildings refer to the energy-related behaviors of key stakeholders that affect energy use over the building life cycle. Stakeholders include building designers, operators, managers, engineers, occupants, industry, vendors, and policymakers, who directly or indirectly influence the acts of designing, constructing, living, operating, managing, and regulating the built environments, from individual building up to the urban scale. Among factors driving high-performance buildings, human dimensions play a role that is as significant as that of technological advances. However, this factor is not well understood, and, as a result, human dimensions are often ignored or simplified by stakeholders. This paper presents a review of the literature on human dimensions of building energy use to assess the state-of-the-art in this topic area. The paper highlights research needs for fully integrating human dimensions into the building design and operation processes with the goal of reducing energy use in buildings while enhancing occupant comfort and productivity. This research focuses on identifying key needs for each stakeholder involved in a building’s life cycle and takes an interdisciplinary focus that spans the fields of architecture and engineering design, sociology, data science, energy policy, codes, and standards to provide targeted insights. Greater understanding of the human dimensions of energy use has several potential benefits including reductions in operating cost for building owners; enhanced comfort conditions and productivity for building occupants; more effective building energy management and automation systems for building operators and energy managers; and the integration of more accurate control logic into the next generation of human-in-the-loop technologies. The review concludes by summarizing recommendations for policy makers and industry stakeholders for developing codes, standards, and technologies that can leverage the human dimensions of energy use to reliably predict and achieve energy use reductions in the residential and commercial buildings sectors.
258 citations
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TL;DR: In this article, an ontology to represent energy-related occupant behavior in buildings is presented, based on four key components: i) the drivers of behavior, ii) the needs of the occupants, iii) the actions carried out by the occupants and iv) the building systems acted upon by occupants.
250 citations
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TL;DR: In this paper, a three-step data mining framework is applied to discover occupancy patterns in office spaces, which can be used as input to current building energy modeling programs, such as EnergyPlus or IDA-ICE, to investigate impact of occupant presence on design, operation and energy use in office buildings.
239 citations