Analysis on the Effect of Fixed Shading over External Window on Energy Consumption and Efficiency of Residential Building in Shanghai

2013 ◽  
Vol 316-317 ◽  
pp. 113-118
Author(s):  
Guo Jun Zhao ◽  
Yan Gao ◽  
Hai Shan Li ◽  
Ya Zhou Jing

The building energy consumption simulation software DeST is used to analyze the effects of fixed shading over external window on energy consumption and efficiency, on the base of a residential building in Shanghai. The simulation results show that the fixed shading over south window has little effect on the overall energy saving of residential building. For east and west external window, if window area is not very large and its shading performance is better, the effect of fixed shading installation on energy saving is not obvious. On the contrary, if its area is large and its shading performance is ordinary, the effect is remarkable. Furthermore, when room ventilation capacity is poor, the effect of energy saving by fixed shading installation is more prominent.

2013 ◽  
Vol 316-317 ◽  
pp. 1123-1127 ◽  
Author(s):  
Hai Shan Li ◽  
Yan Gao ◽  
Guo Jun Zhao ◽  
Ya Zhou Jing

In this paper, with the aid of energy consumption simulation software DeST-h, the annual air conditioning energy consumption of a typical residential building in Guangzhou was simulated to study the impact of window-wall ratio on the energy consumption under two different operation modes: natural and mechanical. It was revealed that increasing of south window-wall ratio, building energy consumption is increased under all mechanical mode, but reduces under nature priority mode.


2013 ◽  
Vol 712-715 ◽  
pp. 1619-1624
Author(s):  
Zhao Chen ◽  
Li Bai ◽  
Feng Li

The author studies the factors on influencing energy consumption of three kinds of common forms of external window of the winter heating and summer cooling, according to the characteristics and influencing factors of living building external window of colding and heat load in severe cold areas, using the simulation software DeST-h to a certain residential building in Changchun City as an example. It analyses the effect of energy saving characteristics of different forms of windows and the influence on building energy consumption. It provides technical reference on rational design of the external window.


2011 ◽  
Vol 225-226 ◽  
pp. 239-242 ◽  
Author(s):  
Hong Lei Ma ◽  
Jian Hui Niu

An energy saving residential building in Zhangjiakou was took as research object, which was designed and constructed according to the criterion of 65% energy saving of the third stage, utilizing simulation software Dest, which was developed by Qinghua University, energy consumption simulation and economic analysis were done to the building. The results show that compared with the former residence which was built according to the non-energy saving design, the implementation of new design standard for building energy saving can not only achieve better energy saving effect, but also its payback period is short, so the new design standard for building energy saving is worth spreading.


2013 ◽  
Vol 409-410 ◽  
pp. 606-611 ◽  
Author(s):  
Zhen Yu ◽  
Wei Lin Zhang ◽  
Ting Yong Fang

Using the energy consumption simulation software to research the HVAC in fall air conditioning mode, different building orientation and window-wall ratio of the office building energy consumption. The study found that the heating energy consumption, air-conditioning energy consumption and total energy consumption is gradually increased with the increase of the window-wall ratio under the same orientation. The result provides some reference for public buildings in setting of building orientation and window-wall ratio.


2021 ◽  
Vol 11 (2) ◽  
pp. 542
Author(s):  
Jaqueline Litardo ◽  
Massimo Palme ◽  
Rubén Hidalgo-León ◽  
Fernando Amoroso ◽  
Guillermo Soriano

This paper compares the potential for building energy saving of various passive and active strategies and on-site power generation through a grid-connected solar photovoltaic system (SPVS). The case study is a student welfare unit from a university campus located in the tropical climate (Aw) of Guayaquil, Ecuador. The proposed approach aims to identify the most effective energy saving strategy for building retrofit in this climate. For this purpose, we modeled the base line of the building and proposed energy saving scenarios that were evaluated independently. All building simulations were done in OpenStudio-EnergyPlus, while the on-site power generation was carried out using the Homer PRO software. Results indicated that the incorporation of daylighting controls accounted for the highest energy savings of around 20% and 14% in total building energy consumption, and cooling loads, respectively. Also, this strategy provided a reduction of about 35% and 43% in total building energy consumption, and cooling loads, respectively, when combined with triple low-e coating glazing and active measures. On the other hand, the total annual electric energy delivered by the SPVS (output power converter) was 66,590 kWh, from where 48,497 kWh was supplied to the building while the remaining electricity was injected into the grid.


2012 ◽  
Vol 1 (1) ◽  
pp. 9
Author(s):  
Ling Wang

<p>Based on the national situation and combined with status of building energy consumption, building energy saving development planning is the most effective measure to deal with the building energy consumption problem in China. Given the building energy saving development planning problem, proposals are given in terms of the planning patterns, planning flow and the organization, which would be of practical value to the implementation of building efficiency planning in China at current stage.</p>


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4805
Author(s):  
Shu Chen ◽  
Zhengen Ren ◽  
Zhi Tang ◽  
Xianrong Zhuo

Globally, buildings account for nearly 40% of the total primary energy consumption and are responsible for 20% of the total greenhouse gas emissions. Energy consumption in buildings is increasing with the increasing world population and improving standards of living. Current global warming conditions will inevitably impact building energy consumption. To address this issue, this report conducted a comprehensive study of the impact of climate change on residential building energy consumption. Using the methodology of morphing, the weather files were constructed based on the typical meteorological year (TMY) data and predicted data generated from eight typical global climate models (GCMs) for three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5) from 2020 to 2100. It was found that the most severe situation would occur in scenario RCP8.5, where the increase in temperature will reach 4.5 °C in eastern Australia from 2080–2099, which is 1 °C higher than that in other climate zones. With the construction of predicted weather files in 83 climate zones all across Australia, ten climate zones (cities)—ranging from heating-dominated to cooling-dominated regions—were selected as representative climate zones to illustrate the impact of climate change on heating and cooling energy consumption. The quantitative change in the energy requirements for space heating and cooling, along with the star rating, was simulated for two representative detached houses using the AccuRate software. It could be concluded that the RCP scenarios significantly affect the energy loads, which is consistent with changes in the ambient temperature. The heating load decreases for all climate zones, while the cooling load increases. Most regions in Australia will increase their energy consumption due to rising temperatures; however, the energy requirements of Adelaide and Perth would not change significantly, where the space heating and cooling loads are balanced due to decreasing heating and increasing cooling costs in most scenarios. The energy load in bigger houses will change more than that in smaller houses. Furthermore, Brisbane is the most sensitive region in terms of relative space energy changes, and Townsville appears to be the most sensitive area in terms of star rating change in this study. The impact of climate change on space building energy consumption in different climate zones should be considered in future design strategies due to the decades-long lifespans of Australian residential houses.


2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.


2015 ◽  
Vol 77 (15) ◽  
Author(s):  
Jibrin Hassan Suleiman ◽  
Saeed Balubaid ◽  
Nasiru Mohammed Zakari ◽  
Egba Ernest Ituma

Most of the developing countries experience rapid urbanization and population growth, Malaysia is among these countries as the population and the energy consumption in the country tremendously increased over the last few decades.  A major challenge is the rate of energy consumption in the country is tremendous going higher which is a threat as the country was listed 26th out of the 30 top greenhouse emitters in the world.  A survey was conducted on the ways occupants’ consumes energy in their residential buildings in relation to dwelling factors in the State of Johor Malaysia. Energy consumption of the residential owners was assessed using drop and pick self-administered questionnaire. The questionnaires were answered by each household heads. Air conditioning system, refrigeration system, kitchen appliances, bathroom and laundry appliances, lighting appliances as well as other home appliances was considered in the survey. Correlation analysis was used using Statistical Package for Social Sciences (SPSS) to analyze the results. The finding shows a positive relationship between dwelling factors.  r ≥ 0.3 and above between dwelling factors and residential building energy consumption. 


Sign in / Sign up

Export Citation Format

Share Document