Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation

Diao, Longquan; Sun, Yongjun; Chen, Jiayu

doi:10.1016/j.enbuild.2017.04.072

Cited by 168 publications

(62 citation statements)

References 49 publications

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“…Energy consumption in residential buildings makes a significant contribution to the GHG emissions generated by the urbanization process in China [3]. As a result, the building industry has been a major obstacle in reducing energy consumption and GHG emissions from China [4,5]. The current situation with building energy efficiency levels is to ensure high energy efficiency standards for new construction [6].…”

Section: Research Backgroundmentioning

confidence: 99%

Energy-Saving Potential of Applying Prefabricated Straw Bale Construction (PSBC) in Domestic Buildings in Northern China

et al. 2020

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The Prefabricated Straw Bale Construction (PSBC) has been proven as one of the most efficient construction methods to achieve low-energy buildings with low environmental impacts. This research presents analysis of the rationale for using straw bale constructions in northern China and a discussion of feasible constructions of PSBC to meet the local building codes following evaluations of potential energy performance of domestic buildings with PSBC in severe cold regions and cold regions in China. The results show that the buildings with PSBC reduce both heating and cooling energy uses, as well as heating intensities across the severe cold and cold regions, compared to the domestic buildings with conventional constructions. The findings of this research will contribute to reducing energy consumption in building industries in China.

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Section: Research Backgroundmentioning

confidence: 99%

Energy-Saving Potential of Applying Prefabricated Straw Bale Construction (PSBC) in Domestic Buildings in Northern China

et al. 2020

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“…38 Though most of the literature on OB modelling related to office buildings, a few researchers also probed into residential behavior modelling. [42][43][44] Residential OB modelling witnessed the application of data mining techniques such as Gaussian process classification and probabilistic neural networks to model the occupant interactions. A summary of significant studies regarding OB analysis and modelling has been listed in Table 3.…”

Section: Occupant Behavior Modellingmentioning

confidence: 99%

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

2020

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Indoor Air. 2020;30:377-395. | 377 wileyonlinelibrary.com/journal/ina | INTRODUC TI ONThermal comfort is defined as the condition of mind which expresses satisfaction within the thermal environment and is assessed by subjective evaluation. 1 Though this definition aptly stresses on judgment of comfort being a cognitive process, it does not describe precisely as to what is meant by the condition of mind or satisfaction. 2 Thermal comfort, in general, depends on six environmental and personal parameters-air temperature, mean radiant temperature, air velocity, relative humidity, clothing level, and metabolic rate. 3 The adaptive model further considers the effects of psychological, physiological, and behavioral aspects in determining comfort but only at an aggregated level. Moreover, aspects related to sociocultural practices, thermal history, context, and income are not comprehensively considered in the existing thermal comfort models. 4-6 This increases the complexities in evaluating thermal comfort and hence even after significant years of research in this domain, predicting conditions to ensure comfort remains imprecise.Thermal comfort studies are necessary because they have a significant impact on occupant's health, well-being, and productivity. [7][8][9] Long-term exposure of subjects to indoor environments, which are not acceptable, causes discomfort leading to negative health impacts. 8 At the same time, in the era of energy deficit and prudent energy consumption, the need to study thermal comfort becomes even more crucial as it dictates the energy use in buildings. 10,11 Additionally, increasing dispensable income, lowering cost of energy services and the desire for thermal delight among the occupants has led to changes in comfort preferences, behavior, and usage patterns. AbstractThis paper presents a review on thermal comfort research that is informed by changes in occupant behavior, lifestyle, and income leading to rebound or pre-bound effect. It explores the current state of research in thermal comfort domain through a systematic review to identify the gaps and opportunities specifically focusing on energyintensive developing countries. This review argues that adaptive thermal comfort is a continuously evolving domain owing to dynamic modifications in occupant behavior occurring from changes in the cost of energy services and preference of comfort (rebound/pre-bound effect). A conceptual framework linking thermal comfort, rebound/pre-bound effect, and occupant behavior is forwarded through the introduction of an exogenous factor related to occupant well-being. The results ascertain that there is a need of localized thermal comfort model with an occupant-centric approach that can help in enhancing comfort and reducing energy consumption. K E Y W O R D Sadaptation, behavior, India, occupant, rebound, thermal comfort

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“…American Time Use Survey (ATUS), conducted by the U.S. Bureau of Labor Statistics provides access to records of respondents' activities and locations on a regular day [41]. Diao et al [42] proposed to identify and classify occupants' activities with direct energy consumption outcomes and energy time use data through k-modes clustering, probability neural network, and inhomogeneous Markov chain model based on American Time Use Survey (ATUS) data. Researchers concluded that building energy use patterns could be observed and investigated with occupancy behavior information.…”

Section: Location Tracking and Activity Of Occupancy Studiesmentioning

confidence: 99%

Modeling occupancy distribution in large spaces with multi-feature classification algorithm

Wang

Chen

Hong

2018

Building and Environment

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Occupancy information enables robust and flexible control of heating, ventilation, and airconditioning (HVAC) systems in buildings. In large-sized spaces, multiple HVAC terminals are usually installed to provide cooperative services for different thermal zones. Occupancy information for large spaces, such as people counts, determines the cooperation among terminals. However, a people count at room-level is not adequate to optimize HVAC system operation due to occupant movement within the room leading to uneven distribution of loads. Without an accurate knowledge of occupants' spatial distribution, uneven distribution of occupants often results in under-cooling/heating or over-cooling/heating in some thermal zones. Therefore, the lack of high-resolution occupancy distribution is often perceived as a bottleneck for future improvement in HVAC operation efficiency. To fill this gap, this study proposes a multi-feature based k-Nearest-Neighbors (k-NN) classification algorithm to extract occupancy distribution through reliable and low-cost Bluetooth Low Energy (BLE) networks. To demonstrate the proposed methods, an on-site experiment was conducted in a typical office of an institutional building. To validate the detection accuracy, the experiment outcomes were examined in three case studies, and one method based on City Block Distance (CBD) is used to measure the distance between detected occupancy distribution and ground truth and assess the results of occupancy distribution. The results show that the accuracy of CBD = 1 is over 71.4% and accuracy of CBD = 2 can reach 92.9%.

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Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation

Cited by 168 publications

References 49 publications

Energy-Saving Potential of Applying Prefabricated Straw Bale Construction (PSBC) in Domestic Buildings in Northern China

Energy-Saving Potential of Applying Prefabricated Straw Bale Construction (PSBC) in Domestic Buildings in Northern China

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

Modeling occupancy distribution in large spaces with multi-feature classification algorithm

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