Air-conditioning Usage Pattern and Energy Consumption for Residential Space Heating in Shanghai China

Song, Lei; Zhou, Xiang; Zhang, Jingsi; Zheng, Sheng; Yan, Shuai

doi:10.1016/j.proeng.2017.10.139

Cited by 11 publications

(15 citation statements)

References 1 publication

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“…Such teachings, in turn, again call for more sophisticated integration and analytical tools between the quantitative and qualitative aspects of thermal comfort, both for outdoor and indoor environments. More specifically, and considering the early principals of the urban energy balance as defined by Oke [126] the reciprocal dynamics of indoor environments also play an essential role resultant of the: (i) increased heat storage within urban materials and buildings [18,22,40,[127][128][129][130][131]; and the cause-and-effect of, (ii) anthropogenic emissions resultant of urban cooling energy loads associated to interior air conditioning [117,[132][133][134][135], which by the end of the century can potentially increase by 166% (in energy demand) as a result of climate change [136].…”

Section: Indoor and Outdoor Cumulative Thermal Stressmentioning

confidence: 99%

The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview

Nouri

Matzarakis

2019

Climate

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To date, top-down approaches have played a fundamental role in expanding the comprehension of both existing, and future, climatological patterns. In liaison, the focus attributed to climatic mitigation has shifted towards the identification of how climatic adaptation can specifically prepare for an era prone to further climatological aggravations. Within this review study, the progress and growing opportunities for the interdisciplinary integration of human biometeorological aspects within existing and future local adaptation efforts are assessed. This encompassing assessment of the existing literature likewise scrutinises existing scientific hurdles in approaching existing/future human thermal wellbeing in local urban contexts. The respective hurdles are subsequently framed into new research opportunities concerning human biometeorology and its increasing interdisciplinary significance in multifaceted urban thermal adaptation processes. It is here where the assembly and solidification of ‘scientific bridges’ are acknowledged within the multifaceted ambition to ensuring a responsive, safe and thermally comfortable urban environment. Amongst other aspects, this review study deliberates upon numerous scientific interferences that must be strengthened, inclusively between the: (i) climatic assessments of both top-down and bottom-up approaches to local human thermal wellbeing; (ii) rooted associations between qualitative and quantitative aspects of thermal comfort in both outdoor and indoor environments; and (iii) efficiency and easy-to-understand communication with non-climatic experts that play an equally fundamental role in consolidating effective adaptation responses in an era of climate change.

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Section: Indoor and Outdoor Cumulative Thermal Stressmentioning

confidence: 99%

The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview

Nouri

Matzarakis

2019

Climate

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“…It is common to use a model to analyze occupancy-based building energy consumption [3,[5][6][7][8]. In [3], the building energy consumption was divided into two categories: basic energy consumption that represents constant electrical usage such as emergency lamps and variable energy consumption that represents electrical usage affected by occupants such as indoor lighting, air conditioning (AC), and plug load.…”

Section: Introductionmentioning

confidence: 99%

“…A stochastic model [10] was used to estimate the occupancy, while the probability of turning on and off the light adopted the model proposed in [11]. The AC usage probability model was developed based on a survey and continuous measurement of the residents [6]. The energy consumption was measured using the DeST for model validation.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Occupancy-Based Energy Consumption in a Campus Building Using Embedded Devices and IoT Technology

Soetedjo

Sotyohadi

2021

Electronics

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Since occupancy affects energy consumption, it is common to model and simulate occupancy using simulation software. One drawback of simulation software is that it cannot provide data transmission information from the sensors, which is essential for real-time energy monitoring systems. This paper proposes an approach to integrating an occupancy model and a real-time monitoring system for real-time modeling. The integration was performed by implementing a model on embedded devices and employing an IoT-based real-time monitoring application. The experimental results showed that the proposed approach effectively configured and monitored the model using a smartphone. Moreover, the data generated by the model were stored in an IoT cloud server for monitoring and further analysis. The evaluation result showed that the model ran perfectly in real-time embedded devices. The assessment of the IoT data transmission performances yielded a maximum latency of 9.0348 s, jitter of 0.9829 s, inter-arrival time of 5.5085 s, and packet loss of 10.8%, which are adequate for real-time modeling of occupancy-based energy consumption.

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“…The reliability of the method of investigation and survey to estimate the short-term heating energy consumption has been verified by many studies. 36–38 Researchers have provided numerous valuable information from their investigation and survey data to enable a better understanding of effects of occupant’s behaviour on the heating energy consumption in the HSCW region. Quite a large number of occupants in the HSCW region open their windows for natural ventilation during the heating season, which leads to a sharp increase in the energy used for heating.…”

Section: Introductionmentioning

confidence: 99%

“…7,38,40 Compared to the northern China, the investigation showed that the heating behaviour possessed a more obvious influence on the energy consumption intensity of heating than other factors in the HSCW zones. 7,13,37,38,41,42 According to the sensitivity analysis, the heating triggering/setting temperature had a considerable influence on the energy consumption of the residential heating. 7,43 For example, the average heating energy consumption of the retired families was 47% higher than those of not retired people because of the longer heating duration for the retired families.…”

Section: Introductionmentioning

confidence: 99%

Preliminary study on heating energy consumption distribution of dwellings in hot summer and cold winter climate region of China

Yan

2018

Indoor and Built Environment

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Investigating the total heating energy consumption over the entire heating season and its distribution data can help policymakers to adequately understand the current status and development trend of heating energy consumption, as well as to formulate effective policies to improve the indoor comfort and energy performance of residential buildings. This paper aims to explore a method for obtaining the space heating energy consumption demand of dwellings to guide energy conservation and energy supply with heating. A survey questionnaire was carried out to obtain detailed information on the occupant behaviour on space heating in a multi-unit high-rise residential community in Nantong. The statistical results of some factors were obtained from the questionnaire, such as occupants’ space heating behaviour, window-opening behaviour, and indoor temperature setting. Then, energy consumption by space heating was simulated and analysed based on the survey data, and the reliability of results was verified by comparing modelled results with measured energy consumption from 1625 households. The results reveal that the heating energy consumption simulation method based on occupant behaviour survey can be used to predict the distribution of the energy consumption over the entire heating season in this region and areas with similar climate.

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Air-conditioning Usage Pattern and Energy Consumption for Residential Space Heating in Shanghai China

Cited by 11 publications

References 1 publication

The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview

The Maturing Interdisciplinary Relationship between Human Biometeorological Aspects and Local Adaptation Processes: An Encompassing Overview

Modeling of Occupancy-Based Energy Consumption in a Campus Building Using Embedded Devices and IoT Technology

Preliminary study on heating energy consumption distribution of dwellings in hot summer and cold winter climate region of China

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