Passive Energy-Saving Optimal Design for Rural Residences of Hanzhong Region in Northwest China Based on Performance Simulation and Optimization Algorithm

Shao, Teng; Zheng, Wuxing; Cheng, Zheng

doi:10.3390/buildings11090421

Cited by 19 publications

(9 citation statements)

References 22 publications

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“…Kumbaroglu and Madlener [22] used a new NPV calculation method to assess the highest economic benefits of energy-saving renovation measures. Teng Shao and Wuxing Zheng [23] used Energy Plus and MOBO optimization engines to explore the influence of various factors on building energy consumption. Xinyi Hu and Hong Zhang [24] established a framework of active and passive energy-saving technologies to select the best economic transformation strategy for existing rural buildings.…”

Section: Introductionmentioning

confidence: 99%

Research on Energy Saving and Economy of Old Buildings Based on Parametric Design: A Case Study of a Hospital in Linyi City, Shandong Province

2022

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With the need for a green economy and the introduction of low-carbon policies, more and more old buildings are being transformed to improve the thermal performance of buildings and reduce energy consumption. However, people ignore the village buildings and the old public buildings. Based on the investigation of a typical health center in Linyi City, this paper proposed improvement measures using EnergyPlus simulation software and JePlus parameter chemical tools. The various factors analyze the various parts of the enclosure, and the energy-saving effect of the roof is better than that of the exterior wall: When the thickness of the insulation layer gradually increases from 0 cm to 30 cm, the unit energy consumption of the building gradually decreases from 57 kW·h/m2 to 42.8 kW·h/m2, while that of the roof is gradually reduced to 24.41 kW·h/m2. Double exterior windows effectively reduce the energy consumption of the building in all renovation schemes. The optimal scheme is selected through the parameterized design of all the overall enclosure reconstruction schemes and the initial investments. The results showed that the investment recovery of the selected scheme was between 1.36–5.28 years. Plan 5 (12 cm XPS is used as insulation material for the exterior wall and roof, and the exterior window is replaced with 6 mm medium transmittance Low-e + 12 mm air + 6 mm clear) had the highest energy efficiency (91.11%). Plan 2 (6 cm XPS is used as insulation material for the exterior wall and roof, and the exterior window is replaced with 12 mm single medium transmittance heat-reflecting glass) had the shortest investment recovery period (2.04 years).

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Section: Introductionmentioning

confidence: 99%

Research on Energy Saving and Economy of Old Buildings Based on Parametric Design: A Case Study of a Hospital in Linyi City, Shandong Province

2022

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“…From the above analysis, it can be seen that the change in a single factor to the indoor environment is not obvious, and thus, it is necessary to comprehensively analyze each factor. Orthogonal testing is a method of reducing the number of trials compared with comprehensive experiments, and it is an efficient method of experimental design by selecting representative samples from the comprehensive test portfolio according to certain rules [35]. Based on the sensitivity of each single factor and its relationship with the indoor air speed and thermal environment, the L 9 (3 4 ) orthogonal table was obtained using the SPSS26 software when studying the coupling effect of multiple factors, and the three-factor three-level orthogonal experiment method was used to reduce the number of multi-factor experiments with the minimum influence, as shown in Table 10.…”

Section: Single-variable Simulation Analysismentioning

confidence: 99%

Case Study of Space Optimization Simulation of Existing Office Buildings Based on Thermal Buffer Effect

Gan,

Chen,

Feng

2024

Buildings

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This paper takes an old office building in Hefei as the research object to explore the influence of the thermal buffering performance of the case building buffer space on the air speed and thermal environment of the office space based on the field measurement and simulation. As the thermal buffer layer of the main space, the buffer space is the layout mode that follows the thermal transfer law. Building buffer space variables were evaluated and compared by orthogonal tests to determine the better combination of buffer space sizes. The results show that when the air speed is taken as the evaluation index, the influence of each buffer space on the indoor environment is ordered: courtyard > corridor > foyer; when the temperature is taken as the evaluation index, the influence of each buffer space on the indoor environment is ordered: courtyard > foyer > corridor. From the perspective of green transformation, this paper selects two better schemes. Through comparison, it is found that when the buffer space size is: corridor (16 m × 2 m × 3.3 m), courtyard (16 m × 12 m) and foyer (7.2 m × 6 m × 3.3 m) is the optimal scheme, the indoor air speed is increased by 0.1 m/s, and the temperature is reduced to 27.0 °C, which is within the thermal comfort range of the human body. It is found that optimizing the buffer space size of the case building can effectively improve its indoor air speed and thermal environment, and provide theoretical basis and reference for the green transformation of existing buildings of the same type in this area.

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“…Based on the literature review and extraction of passive strategies commonly used in hot summer and cold winter areas, our research team screened the passive design parameters that are relatively important to building energy consumption, including building orientation (BO), sunroom depth (SD), overhang depth (OD), courtyard size (CS), window-wall ratio (WWR), window heat transfer coefficient (WHTC), external wall heat transfer coefficient (EWHTC) and roof heat transfer coefficient (RHTC). 34,[36][37][38][39][40][41] Since the focus of this study was the transformation of traditional dwellings, passive design parameters such as BO and CS are not applicable to the renovation of old buildings. As a result, the selected six passive design parameters suitable for this research are SD, OD, WWR, WHTC, EWHTC and RHTC.…”

Section: Passive Design Parametersmentioning

confidence: 99%

A comprehensive effectiveness study of passive design parameters for traditional dwellings in Qinba mountainous area

Gao

et al. 2022

Indoor and Built Environment

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Traditional dwelling has achieved harmony between building and climatic environment, which is one of the most significant prerequisites for sustainability. In this study, Liyuanba traditional dwellings were selected as the representative traditional dwellings in southwestern part of Qinba mountainous area, and passive design strategies extracted from traditional dwellings were utilized to improve its indoor thermal comfort. This research presents an approach in which the energy simulation, orthogonal arrays and range analysis were integrated to analyze the sensitivity of each passive parameter to overall energy-saving performance and to determine how energy consumption can be minimized by the optimal combination of them. The optimized passive strategy could reduce the annual energy consumption of the simulated dwelling by 65.1% compared with that of the original one and increase the indoor air temperature and mean radiation temperature by 4.31°C and 4.35°C in winter, respectively, meeting the requirements of the design standard for energy efficiency for rural residential buildings (GB/T50824-2013). Through the systematic study of passive parameters in the southwestern part of Qinba mountainous area, the optimal combination of passive design strategies could be utilized for the renovation of traditional dwellings to improve the building energy performance under the premise of satisfying the indoor thermal comfort.

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Passive Energy-Saving Optimal Design for Rural Residences of Hanzhong Region in Northwest China Based on Performance Simulation and Optimization Algorithm

Cited by 19 publications

References 22 publications

Research on Energy Saving and Economy of Old Buildings Based on Parametric Design: A Case Study of a Hospital in Linyi City, Shandong Province

Research on Energy Saving and Economy of Old Buildings Based on Parametric Design: A Case Study of a Hospital in Linyi City, Shandong Province

Case Study of Space Optimization Simulation of Existing Office Buildings Based on Thermal Buffer Effect

A comprehensive effectiveness study of passive design parameters for traditional dwellings in Qinba mountainous area

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