Energy performance of building envelopes in different climate zones in China

Yang, Linlin; Lam, Joseph C.; Tsang, C.L.

doi:10.1016/j.apenergy.2007.11.002

Cited by 201 publications

(71 citation statements)

References 25 publications

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“…Building envelop is essential to the heat transfer between indoors and outdoors, and works as a key factor affecting building energy performance. In order to evaluate heat gain and loss of the building envelope, three design parameters were identified by previous research [20]: 1) the U-values of external walls, windows and roof; 2) window-to-wall ratio (i.e., ratio of the window area to the total external wall area, including windows) and skylight-to-roof ratio (i.e., ratio of the skylight area to the total roof area, including skylight); and 3) shading coefficients of the glazing materials.…”

Section: -Building Envelopmentioning

confidence: 99%

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Assessing Chinese campus building energy performance using fuzzy analytic network approach

Liu

Tang

et al. 2015

IFS

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Abstract. Buildings were responsible for over 30% of total Chinese energy consumption in 2010. With a wild range of climate conditions and a separate air conditioning structure in campus buildings, it is significant but difficult to assess the energy performance of campus buildings in China. This paper proposes a novel mechanism to assess energy performance of campus buildings, using a fuzzy analytic network process (FANP). Six criteria are used as key performance indicators based on climate conditions in China and the air conditioning device deployment structure in campus buildings: 1) building envelope; 2) renewable energy; 3) illumination; 4) thermal comfort; 5) window and door; and 6) occupation status. A simulation is presented to illustrate the effectiveness of the proposed approach, analyzing three different rooms in the International School of Software, at Wuhan University. Assessment results are discussed in terms of optimizing future energy performance of campus buildings.

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Section: -Building Envelopmentioning

confidence: 99%

“…The maximum solar altitudes vary considerably and there is a large diversity in climates [20]. China has over 2000 universities, and each university has hundreds of buildings [47].…”

Section: Introductionmentioning

confidence: 99%

Assessing Chinese campus building energy performance using fuzzy analytic network approach

Liu

Tang

et al. 2015

IFS

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“…This threshold of total loads will be even lower for Dhaka because of the prevalence of high temperatures and poor thermal performance of building envelopes. Careful design of the building fabric [44] including the size and orientation of windows; thermal insulation [45] and solar shading [46] may assist in reducing solar heat gain. Internal heat gains from people, equipment and lighting can be designed to avoid coincident solar and internal gains.…”

Section: Adaptation Of Buildings To Increased Temperaturesmentioning

confidence: 99%

The impact of the projected changes in temperature on heating and cooling requirements in buildings in Dhaka, Bangladesh

Mourshed

2011

Applied Energy

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Dhaka, the capital of Bangladesh, is a fast growing megacity with a population of 12.8 million. Due to its tropical location, dense urban morphology and higher than average density of population, buildings in Dhaka are likely to be adversely affected by the projected changes in climate, in particular by the increases in temperature. Buildings play a vital role in most aspects of our lives and their energy consumption patterns affect climate change mitigation and adaptation strategies. It is important to understand the likely impact of the projected increases in temperature on cooling and heating requirements in buildings in future climates. In this research, global projections on changes in temperature are temporally downscaled using a statistically averaged baseline present-day hourly weather data to generate future weather data in three timeslices: 2020s, 2050s and 2080s. Time series data for the present-day and future climates are analyzed as well as heating and cooling degree-days are calculated. Analysis shows that heating degree-days decrease whereas cooling degree-days continue to increase in future climates. The magnitude of change in monthly cooling degree-days is uneven and is greater in winter months than in summer and monsoon. Increased occurrences of temperatures above comfort threshold throughout the year are likely to have significant consequences for human health and wellbeing. The severity and duration of outdoor temperatures in the form of increased cooling degree-days in future climates will result in a surge in demand for energy for comfort cooling, which will add further stress to the already stressed energy infrastructure in the country. Prompt actions from stakeholders are, therefore, essential to enhance the resilience of Dhaka's buildings to climate change.

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“…For cooling dominant climate like Guangzhou more insulation did not reduce annual energy use at all. Yang et al [14] surveyed envelope designs of existing office buildings in five major Chinese climates, and found the overall thermal transfer value of envelope was much higher than the current local energy code and almost double the ASHRAE Standard 90. . More insulation of exterior walls and roofs was recommended to reduce heating energy use for buildings in cold climate.…”

Section: Introductionmentioning

confidence: 99%

On variations of space-heating energy use in office buildings

Lin

Hong

2013

Applied Energy

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Space heating is the largest energy end use, consuming more than 7 quintillion joules of site energy annually in the U.S. building sector. A few recent studies showed discrepancies in simulated space-heating energy use among different building energy modeling programs, and the simulated results are suspected to be underpredicting reality. While various uncertainties are associated with building simulations, especially when simulations are performed by different modelers using different simulation programs for buildings with different configurations, it is crucial to identify and evaluate key driving factors to space-heating energy use in order to support the design and operation of low-energy buildings. In this study, 10 design and operation parameters for space-heating systems of two prototypical office buildings in each of three U.S. heating climates are identified and evaluated, using building simulations with EnergyPlus, to determine the most influential parameters and their impacts on variations of space-heating energy use. The influence of annual weather change on spaceheating energy is also investigated using 30-year actual weather data. The simulated space-heating energy use is further benchmarked against those from similar actual office buildings in two U.S. commercial-building databases to better understand the discrepancies between simulated and actual energy use. In summary, variations of both the simulated and actual space-heating energy use of office buildings in all three heating climates can be very large. However these variations are mostly driven by a few influential parameters related to building design and operation. The findings provide insights for building designers, owners, operators, and energy policy makers to make better decisions on energy-efficiency technologies to reduce space-heating energy use for both new and existing buildings.

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Energy performance of building envelopes in different climate zones in China

Cited by 201 publications

References 25 publications

Assessing Chinese campus building energy performance using fuzzy analytic network approach

Assessing Chinese campus building energy performance using fuzzy analytic network approach

The impact of the projected changes in temperature on heating and cooling requirements in buildings in Dhaka, Bangladesh

On variations of space-heating energy use in office buildings

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