A Model for Residential Building Energy Consumption Characteristics and Energy Demand: A Case in Chongqing

Yang, Qiaoxia; Liu, Meng; Huang, Chunyu; Min, Yunran; Zhong, Yiqun

doi:10.1016/j.proeng.2015.09.154

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…Simultaneously analyzing the existing large-scale research on the utilization of thermal comfort adjustment equipment in residential buildings in Chongqing, it was observed that a high frequency of AC use occurred when the average outdoor temperature was above 30 °C during summer and below 13 °C during winter, according to the monitoring of the use of 575 ACs [92], which was consistent with the results of our questionnaire survey. In the survey of 2735 households [93], split AC was the primary cooling method in…”

Section: Energy Use Behavior Characteristics Of Sample Buildingsmentioning

confidence: 99%

Research on Formulating Energy Benchmarks for Various Types of Existing Residential Buildings from the Perspective of Typology: A Case Study of Chongqing, China

2023

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The full exploration of the energy-saving potential during the operation of buildings is an essential aspect of energy-efficiency retrofitting for existing residential buildings. Setting reasonable energy consumption quotas can promote the improvement of energy efficiency. The energy benchmark is one of the energy consumption quotas, which represents the general energy consumption level of similar buildings and serves as the energy-saving goal for high-energy-consuming buildings. This study aims to classify existing residential buildings based on their forms and actual energy consumption data and to set energy benchmarks for each building type. Taking typical existing residential buildings built before 2000 in Chongqing, a city in southwestern China, as an example, from the perspective of building typology, the study classified residential buildings into four types and determined the energy benchmarks. Then, energy-efficiency retrofitting measure evaluation and potential analysis were carried out for each type. The study shows that energy for cooling and heating accounts for a high proportion of energy use in existing residential buildings. The energy consumption of residential buildings is greatly affected by orientation and floor area. Point-like buildings with smaller areas facing west have higher energy benchmarks, while slab-like buildings with larger south-facing areas have lower energy benchmarks. The results and methods of the study can provide a basis for the formulation of energy benchmarks for residential buildings, as well as regional energy analysis, energy-saving potential prediction, and energy-saving measure evaluation.

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Section: Energy Use Behavior Characteristics Of Sample Buildingsmentioning

confidence: 99%

Research on Formulating Energy Benchmarks for Various Types of Existing Residential Buildings from the Perspective of Typology: A Case Study of Chongqing, China

2023

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“…To solve the non-linearity of the momentum equation, the velocity pressure coupled with the semi-implicit method for the pressure-linked equation (simple) algorithm was employed. [6,39].…”

Section: B Airflow and Heat Transfermentioning

confidence: 99%

“…The k -ε turbulence model has been used to solve the Reynolds average Navier -Stokes equation. The respective equations for turbulent kinetic energy (k), and the dissipation rate of turbulent kinetic energy (ε) are mentioned in the equation given below (6,7). Table 4.…”

Section: The Energy Equation Resolved By Ansys Fluent Is Shown Belowmentioning

confidence: 99%

“…A good level of thermal comfort in an indoor environment amplifies productivity and reduces the risk of human health [3,4]. There have been a number of studies were conducted on the indoor environmental quality, such as "Thermal comfort and energy-saving enhancements in an office room" [5], "Residential building energy consumption characteristics and energy demand" [6], "the study of thermal comfort in a room by various heating methods" [7], "energy consumption in office room for displacement ventilation". [8], "a review of comfort, health, and energy to understand daily energy use and wellbeing for the development of a new approach to study comfort" [9], and many others [10][11][12][13][14][15][16][17][18].According to IEA indoor environmental conditions in a building depends on few major factors, (1) Outdoor climate conditions, (2) building envelopes, (3) building design factors, (5) building set-up and maintenance, (4) building energy consumption and amenities arrangement, (6) activities of occupiers [4].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Inlet Airflow Direction on the Indoor Environment of a Naturally Ventilated Room using CFD

Ganesh¹,

Sinha²,

Verma³

2020

IJEAT

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The present study emphases the numerical investigation of the change in the overall indoor environment of a mechanically heated room, due to alteration in direction of the cold air stream at the inlet. This study is important to find the correlation between the configuration of altered geometry on the indoor environment quality and human comfort. Different case studies have been studied by altering the direction of the flow of the unidirectional velocity vector (U) by turning clockwise around the Z-axis and keeping other geometry parameters unaltered. Numerically simulated observations have been analyzed to study the effect of changed airflow direction at the inlet on indoor environmental quality Slight variations in the indoor environment were observed due to changed inlet angle set from 0°-60°, but for the largest angle setting of (80°), considerable changes were observed ins temperature and flow patterns. When the inlet vent angle increased from 0°-80°, the airflow and thermal pattern in room changes. More swirls and circulation observed in the case of higher inlet angles. PPD values for subsequent cases were found under control for all the set of inlet angles. The lowest PPD and PMV values observed for an 80° inlet angle setting. The outcomes of the research would be valuable for the design and optimization of local buildings and more energy can be hoarded by proper installations of equipment and inlet vent location.

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“…However, the accuracy of these models cannot meet the requirement of the quota because they can only be used to estimate. Yang et al [1] established a three-hierarchy model through a bottomup approach for residential buildings using Chongqing City as a sample to verify its validity. A new physical-statistical methodology for energy demand forecasting was presented by Lü et al [2].…”

Section: State Of the Artmentioning

confidence: 99%

Establishing Energy Consumption Quota for Residential Buildings Using Regression Analysis and Energy Simulation

Zhou¹,

Zhou²,

C³

et al. 2016

JESTR

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The regulation of the design and construction of new buildings is insufficient; controlling the energy consumption of buildings in the service stage is the key to realizing the goal of energy saving of buildings by tiered pricing for electricity consumption based on quota. Fifty families in Kunming, China were investigated through questionnaire survey and spot test; regression analysis and energy simulation were conducted to obtain the annual energy consumption of a nuclear family. The quota was finally established based on the correction of the two results according to the actual situation; annual energy consumption per capita was used as the unit, which was more reasonable than the annual energy consumption per floor area that was used by numerous scholars. The study demonstrates that the annual per capita energy consumption is significantly related with per capita floor area and annual per capita income. With the popularity of solar hot water system, natural ventilation is the main way for cooling in summer and the requirement of indoor comfort cannot be met during winter in residential buildings in Kunming. Thus, the value of energy simulation is higher than that of regression analysis. Finally, the corrected value of energy simulation was determined to be the final quota, which was 7.7% lower than the value of regression analysis, to meet the requirements of energy efficiency and indoor comfort. To sum up, both the value of regression analysis and the adjusted value of energy simulation could be determined as the quota. The study has a reference value to the prediction of the energy consumption of buildings, which also offers a guideline for the local government to establish relevant policies.

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A Model for Residential Building Energy Consumption Characteristics and Energy Demand: A Case in Chongqing

Cited by 7 publications

References 3 publications

Research on Formulating Energy Benchmarks for Various Types of Existing Residential Buildings from the Perspective of Typology: A Case Study of Chongqing, China

Research on Formulating Energy Benchmarks for Various Types of Existing Residential Buildings from the Perspective of Typology: A Case Study of Chongqing, China

Effect of Inlet Airflow Direction on the Indoor Environment of a Naturally Ventilated Room using CFD

Establishing Energy Consumption Quota for Residential Buildings Using Regression Analysis and Energy Simulation

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