DeST—An integrated building simulation toolkit Part II: Applications

Zhang, Xiaoliang; Xia, Jianjun; Jiang, Ziyan; Huang, Jian; Rong, Qin; Zhang, Ye; Liu, Ye; Jiang, Yi

doi:10.1007/s12273-008-8124-x

Cited by 86 publications

(17 citation statements)

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“…The settings in Table 1 are in accordance with the design standard in this region [13] with an outdoor design temperature of −2.7 °C and 32.3 °C for heating and cooling [14], respectively, and heating degree-days of 1647 and cooling degree-days of 196 [13]. The dynamic thermal simulation program used in this paper is DeST-h, which has been validated by comparison with both well-known international thermal simulation programs and experimental results [15,16], and it was used to evaluate the overall performance of different design options. The typical meteorological year (TMY) data of Hangzhou City were used for the building simulation [17].…”

Section: Typical Residential Buildingmentioning

confidence: 99%

A Multi-Objective (Energy, Economic and Environmental Performance) Life Cycle Analysis for Better Building Design

Yao

2014

Sustainability

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Design improvement is critical for achieving a low-cost and high energy-efficient building with low carbon emissions. Thus, designers need to consider many factors (such as energy, economic and environmental performance) in the early design stage. This paper presents a multi-objective analysis for better building design and compares the EDH-based design improvements (introduced by the author in a previous work, EDH means energy difference between households) with seven potential improvement measures commonly used in achieving a better overall performance for the energy, economy and environment. A typical residential building in China was modeled for a number of simulations, and the simulation results were used to carry out a life cycle-based performance analysis. Seven potential improvement options that are commonly used are compared, and the results show that it is difficult to identify an option that has a better performance in all these three aspects. On the other hand, EDH-based design improvement achieves relatively high energy, economic and environmental performance compared to the former seven options. Moreover, EDH-based design improvement can provide designers with flexible options to select from in order to address diverse demands for building aesthetics, function, and so on, or to avoid potential difficulties when some kinds of materials or measures that are planned to be used are unavailable locally.

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Section: Typical Residential Buildingmentioning

confidence: 99%

A Multi-Objective (Energy, Economic and Environmental Performance) Life Cycle Analysis for Better Building Design

Yao

2014

Sustainability

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“…Figure 2 illustrates the sunlight angle variation through four representative time events, where the leeward wall receives direct solar radiation during the morning event (Figure 2a), the ground receives direct solar radiation during the noon event (Figure 2b), the windward wall receives direct solar radiation during the afternoon event (Figure 2c), and no solar radiation exists during the night (Figure 2d). The Typical Meteorology Year weather data file of Designer's Simulation Toolkit (DeST) software was used as the meteorological database [37,38]. Two sets of meteorological data selected from clear days in summer (18 July) and winter (17 January) of Beijing (39.92° N, 116.46° E), China were chosen and plotted in Figure 3.…”

Section: Introductionmentioning

confidence: 99%

“…The internal building temperature was set as 299 K [26] for summer and 293 K [39] for winter, respectively. The daily-averaged air temperature (296 K for summer, and 275 K for winter) was assumed to be the soil temperature at the depth of 2 m. In reality, the soil temperature fluctuates annually and daily due to variations in air temperature and The Typical Meteorology Year weather data file of Designer's Simulation Toolkit (DeST) software was used as the meteorological database [37,38]. Two sets of meteorological data selected from clear days in summer (18 July) and winter (17 January) of Beijing (39.92 • N, 116.46 • E), China were chosen and plotted in Figure 3.…”

Section: Introductionmentioning

confidence: 99%

“…Two sets of meteorological data selected from clear days in summer (18 July) and winter (17 January) of Beijing (39.92 • N, 116.46 • E), China were chosen and plotted in Figure 3. The Typical Meteorology Year weather data file of Designer's Simulation Toolkit (DeST) software was used as the meteorological database [37,38]. Two sets of meteorological data selected from clear days in summer (18 July) and winter (17 January) of Beijing (39.92° N, 116.46° E), China were chosen and plotted in Figure 3.…”

Section: Introductionmentioning

confidence: 99%

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Seasonal Changing Effect on Airflow and Pollutant Dispersion Characteristics in Urban Street Canyons

et al. 2017

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Abstract:In this study, the effect of seasonal variation on air flow and pollutant dispersion characteristics was numerically investigated. A three-dimensional urban canopy model with unit aspect ratio (H/D = 1) was used to calculate surface temperature distribution in the street canyon. Four representative time events (1000 LST, 1300 LST, 1600 LST and 2000 LST) during typical clear summer and winter days were selected to examine the air flow diurnal variation. The results revealed the seasonal variation significantly altered the street canyon microclimate. Compared with the street canyon surface temperature distribution in summer, the winter case showed a more evenly distributed surface temperature. In addition, the summer case showed greater daily temperature fluctuation than that of the winter case. Consequently, distinct pollutant dispersion patterns were observed between summer and winter scenarios, especially for the afternoon (1600 LST) and night (2000 LST) events. Among all studied time events, the pollutant removal performance of the morning (1000 LST) and the night (2000 LST) events were more sensitive to the seasonal variation. Lastly, limited natural ventilation performance was found during the summer morning and the winter night, which induced relatively high pollutant concentration along the pedestrian height level.

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“…The comparison of HVAC system modeling and whole building performance is as important, and will be covered by a separate report. Zhang et al 2008) by Tsinghua University, China. BEMPs play a significant role in designing the envelop and HVAC system of new buildings, energy-saving retrofitting of existing buildings, developing codes and standards for building energy efficiency design, and building energy rating/labeling programs.…”

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confidence: 99%

Comparison of Building Energy Modeling Programs: Building Loads

Zhu¹

2012

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It is widely known that large discrepancies in simulation results can exist between different BEMPs. The result is a lack of confidence in building simulation amongst many users and stakeholders. In the fields of building energy code development and energy labeling programs where building simulation plays a key role, there are also confusing and misleading claims that some BEMPs are better than others. In order to address these problems, it is essential to identify and understand differences between widely-used BEMPs, and the impact of these differences on load simulation results, by detailed comparisons of these BEMPs from source code to results.The primary goal of this work was to research methods and processes that would allow a thorough scientific comparison of the BEMPs. The secondary goal was to provide a list of strengths and weaknesses for each BEMP, based on in-depth understandings of their modeling capabilities, mathematical algorithms, advantages and limitations. This is to guide the use of BEMPs in the design and retrofit of buildings, especially to support China's building energy standard development and energy labeling program. The research findings could also serve as a good reference to improve the modeling capabilities and applications of the three BEMPs. The methodologies, processes, and analyses employed in the comparison work could also be used to compare other programs.The load calculation method of each program was analyzed and compared to identify the differences in solution algorithms, modeling assumptions and simplifications. Identifying inputs of each program and their default values or algorithms for load simulation was a critical step. These tend to be overlooked by users, but can lead to large discrepancies in simulation results. As weather data was an important input, weather file formats and weather variables used by each program were summarized. Some common mistakes in the weather data conversion process were discussed. ASHRAE Standard 140-2007 tests were carried out to test the fundamental modeling capabilities of the load calculations of the three BEMPs, where inputs for each test case were strictly defined and specified. The tests indicated that the cooling and heating load results of the three BEMPs fell mostly within the range of spread of results from other programs. Based on ASHRAE 140-2007 test results, the finer differences between DeST and EnergyPlus were further analyzed by designing and conducting additional tests. Potential key influencing factors (such as internal gains, air infiltration, convection coefficients of windows and opaque surfaces) were added one at a time to a simple base case with an analytical solution, to compare their relative impacts on 2 load calculation results.Finally, special tests were designed and conducted aiming to ascertain the potential limitations of each program to perform accurate load calculations. The heat balance module was tested for both single and double zone cases. Furthermore, cooling and heating load calculations were compared ...

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DeST—An integrated building simulation toolkit Part II: Applications

Cited by 86 publications

References 1 publication

A Multi-Objective (Energy, Economic and Environmental Performance) Life Cycle Analysis for Better Building Design

A Multi-Objective (Energy, Economic and Environmental Performance) Life Cycle Analysis for Better Building Design

Seasonal Changing Effect on Airflow and Pollutant Dispersion Characteristics in Urban Street Canyons

Comparison of Building Energy Modeling Programs: Building Loads

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