Analysis on the Influence of Building Envelope to Public Buildings Energy Consumption Based on DeST Simulation

Jun-sheng, HU; Wu, Jing

doi:10.1016/j.proeng.2015.09.192

Cited by 28 publications

(7 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to scientifically and accurately evaluate the energy consumption of human body exercise, researchers have used various methods for decades, trying to reveal the relationship between the amount of exercise, exercise intensity, and exercise efficiency and human health from different angles. Commonly used energy consumption measurement methods include questionnaire survey method [7], double standard water method [8], indirect calorimetry method [9], heart rate monitoring method [10], and motion sensor method [11]. Double standard water method calculates energy expenditure by making the subjects take two nonradioactive water portions labeled with two isotopes and detecting the difference in the elimination rate of the two isotopes in the subjects' body after a period of metabolism.…”

Section: Related Workmentioning

confidence: 99%

Recognition and Simulation of Exercise Mode Based on Energy Consumption Model

2021

Complexity

View full text Add to dashboard Cite

Sports energy consumption is a quantitative reflection of physical exercise effect. Combined with different sports modes and students’ physical characteristics, the calculation model of sports energy consumption is put forward. Firstly, the relationship between students’ age, height, weight, gender, and energy consumption is analyzed by using multiple linear regression method, and a linear acceleration model is proposed by combining different exercise methods. The relationship between the integral value of acceleration and energy consumption is analyzed, and a linear integral model based on different motion modes is proposed. Based on the kinetic energy theorem, the student movement energy expenditure is estimated. This paper proposes a human movement recognition method based on hybrid features, which mostly can represent the curve of the second generation wavelet transform edge thinning, and from the edge and texture features of the optimal said human posture, the statistical characteristic of the second generation wavelet transform is subtly trained as image characteristics, learning and recognition of human movement. Then, the motion recognition algorithm is tested, which can effectively identify the common movement patterns of primary and middle school students. Finally, the linear relationship between the estimation results of the model and the calculation results of Meijer is analyzed. The analysis results show that the linear acceleration model proposed in this paper can estimate the energy consumption of primary and middle school students’ motion relatively accurately.

show abstract

Section: Related Workmentioning

confidence: 99%

Recognition and Simulation of Exercise Mode Based on Energy Consumption Model

2021

Complexity

View full text Add to dashboard Cite

show abstract

“…However, the annual cumulative heating load of the benchmark model is only 31.83 kW·h/m 2 , which is more energy-efficient than the reference model. The energy-saving rate reaches 73.81%, 76.37%, and 78.55%, respectively, which had reached the design standard for energy efficiency of nearly zero energy building (Hu and Wu, 2015). Therefore, this prefabricated restroom benchmark model meets the requirement.…”

Section: Methodsmentioning

confidence: 95%

Optimization method for prefabricated restroom envelope energy saving characteristics in hot summer and cold winter zone

Zhang

Hong

et al. 2021

Energy Exploration & Exploitation

View full text Add to dashboard Cite

In order to reduce the restroom envelope energy consumption, one optimization method on basis of analyzing the influence of heat transfer coefficient on the performance of a prefabricated restroom envelope in a hot summer and cold winter zone was proposed. An energy-consuming model of prefabricated restroom in Nanjing is initially built based on Designer's Simulation Toolkit software. Subsequently, the effect of external walls, rooftops, external windows with various thermal characteristics on the building envelope is analyzed respectively. Simultaneously, a method that only changes the heat transfer coefficient of the prefabricated restroom envelope while keeping other parameters unchanged is adopted. Results show that, for a prefabricated restroom, the optimal range of heat transfer coefficient of the external wall, rooftop, and external window in hot summer and cold winter zone is 0.199∼0.22, 0.16∼0.19, and 3.0∼3.1 W/(m2·K), respectively. When the window-to-wall ratio is less than 0.2, the priority of the wall heat transfer coefficient on building energy consumption is higher than that of the rooftop heat transfer coefficient, simultaneously, the rooftop heat transfer coefficient has priority higher than window heat transfer coefficient. Thus, it is of great significance to optimize the design of the prefabricated restroom envelope in a hot summer and cold winter zone, which provides relative reference for thermal performance improvement of prefabricated restrooms.

show abstract

“…They showed that the envelop heat transfer coefficient should not exceed 0.5 W/m 2 K in a cold area. In another DeST simulation, Hu and Wu 7 analyzed the effect of building envelope on the energy consumption of public buildings. They reported the largest effect of the heat transfer coefficients of the outside windows on the indoor thermal load.…”

Section: Introductionmentioning

confidence: 99%

The effect of materials used in office building envelope on the capacity and performance of a solar‐assisted cooling heating and power system

Heydari

Sadati

2023

Env Prog and Sustain Energy

View full text Add to dashboard Cite

The calculation of heating and cooling loads to office buildings is different due to the presence of many people and also their activity at certain times of the day. In this research, a model office building is first simulated in Semnan, Iran using Design Builder software. After applying the necessary assumptions about the presence of people and building activation time, the heating and cooling loads of the base sample building are calculated with the specified envelope configuration. In the next step, some changes are applied to the thermal insulation of the envelope and the roof as well as the configuration of the windows. Then, for obtained heating and cooling loads for each case, hybrid solar‐assisted cooling heating and power (CCHP) system are designed. Thus, for different envelope configurations, the best case for the capacity of the power generation unit (PGU), the ratio of PGU‐generated energy to solar energy, and fuel consumption saving of the solar‐assisted CCHP system is determined. Results show that the use of appropriate window configuration and the suitable insulation of the walls and roof can save 24.8% of PGU capacity and 53.48% of fuel consumption in the solar‐assisted CCHP system.

show abstract

Analysis on the Influence of Building Envelope to Public Buildings Energy Consumption Based on DeST Simulation

Cited by 28 publications

References 4 publications

Recognition and Simulation of Exercise Mode Based on Energy Consumption Model

Recognition and Simulation of Exercise Mode Based on Energy Consumption Model

Optimization method for prefabricated restroom envelope energy saving characteristics in hot summer and cold winter zone

The effect of materials used in office building envelope on the capacity and performance of a solar‐assisted cooling heating and power system

Contact Info

Product

Resources

About