Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements

Xue, Peng; Li, Qian; Xie, Jingchao; Zhao, Mengjing; Liu, Jiaping

doi:10.1016/j.apenergy.2018.10.027

Cited by 110 publications

(46 citation statements)

References 34 publications

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“…Furthermore, the effect of passive cooling solutions was not investigated. Finally, an optimization analysis of WWR in China low latitude region were presented in 2019 [28] considering also the effect of fixed external sunshade systems (overhang, vertical and comprehensive cases). Cooling, heating and lighting energy needs were considered in this optimization analysis.…”

Section: Wwr and Energy Needs -A Short Background Analysismentioning

confidence: 99%

Parametric Optimization of Window-to-Wall Ratio for Passive Buildings Adopting A Scripting Methodology to Dynamic-Energy Simulation

et al. 2019

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Counterbalancing climate change is one of the biggest challenges for engineers around the world. One of the areas in which optimization techniques can be used to reduce energy needs, and with that the pollution derived from its production, is building design. With this study of a generic office located both in a northern country and in a temperate/Mediterranean site, we want to introduce a coding approach to dynamic energy simulation, able to suggest, from the early-design phases when the main building forms are defined, optimal configurations considering the energy needs for heating, cooling and lighting. Generally, early-design considerations of energy need reduction focus on the winter season only, in line with the current regulations; nevertheless a more holistic approach is needed to include other high consumption voices, e.g., for space cooling and lighting. The main considered design parameter is the WWR (window-to-wall ratio), even if further variables are considered in a set of parallel analyses (level of insulation, orientation, activation of low-cooling strategies including shading devices and ventilative cooling). Finally, the effect of different levels of occupancy was included in the analysis to regress results and compare the WWR with corresponding heating and cooling needs. This approach is adapted to Passivhaus design optimization, working on energy need minimisation acting on envelope design choices. The results demonstrate that it is essential to include, from the early-design configurations, a larger set of variables in order to optimize the expected energy needs on the basis of different aspects (cooling, heating, lighting, design choices). Coding is performed using Python scripting, while dynamic energy simulations are based on EnergyPlus.

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Section: Wwr and Energy Needs -A Short Background Analysismentioning

confidence: 99%

Parametric Optimization of Window-to-Wall Ratio for Passive Buildings Adopting A Scripting Methodology to Dynamic-Energy Simulation

et al. 2019

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“…The results indicated that the variations in spatial parameters could lead to a nearly 14% energy saving and 4% thermal comfort compared to the base case. Xue et al [33] examined the window-to-wall ratio of a hotel building with sunshades to enhance the daylighting and energy performance and proposed the maximum and minimum thresholds for WWR. Sun et al assessed the thermal performance of a rural Tibetan dwelling and proposed some retrofit measures, such as the application of a solar room and insulation that can attain a nearly 75% energy saving [34].…”

Section: Introductionmentioning

confidence: 99%

Modeling Nearly Zero Energy Buildings for Sustainable Development in Rural Areas

et al. 2020

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The energy performance of buildings and energy-saving measures have been widely investigated in recent years. However, little attention has been paid to buildings located in rural areas. The aim of this study is to assess the energy performance of two-story residential buildings located in the mountainous village of Palangan in Iran and to evaluate the impact of multiple parameters, namely building orientation, window-to-wall ratio (WWR), glazing type, shading devices, and insulation, on its energy performance. To attain a nearly zero energy building design in rural areas, the building is equipped with photovoltaic modules. The proposed building design is then economically evaluated to ensure its viability. The findings indicate that an energy saving of 29% can be achieved compared to conventional buildings, and over 22 MWh of electricity can be produced on an annual basis. The payback period is assessed at 21.7 years. However, energy subsidies are projected to be eliminated in the near future, which in turn may reduce the payback period.

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“…Many studies have dealt with the commonly adopted retrofit actions and have demonstrated the negative effect on visual comfort as a result of a reduction in daylight availability; these actions mainly concerned window replacements [2][3][4][5][6], solar shading device installations [4,7,8] and the reduction of window carcasses, due to the thickening of the thermal insulation [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, many studies have focused on the effects of different window-to-wall ratios (WWR) on the visual and thermal performance of buildings. For example, Xue et al [9] coupled sunshades and the optimization of WWR in an attempt to meet the daylighting standard, while Pellegrino et al [10] showed how a decrease in indoor daylight availability, due to a reduction in WWR or an external obstruction, may lead to an increase in the global energy demand of a building, despite a reduction in the cooling loads. Altan et al [11] evaluated the effect of different insulation thicknesses on the overall performance of a residential building.…”

Section: Introductionmentioning

confidence: 99%

“…The implications on the indoor environmental quality of partial building renovation, involving just one, or a combination of two energy efficiency measures, were studied in the aforementioned works [2][3][4][5][6][7][8][9][10][11]. Holistic approaches that take into account comfort aspects, energy consumption and nZEB requirements are diffuse in studies concerning the design of new low-energy buildings, as in the work of Jin et al [12].…”

Section: Introductionmentioning

confidence: 99%

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Transformation of an Office Building into a Nearly Zero Energy Building (nZEB): Implications for Thermal and Visual Comfort and Energy Performance

et al. 2019

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Directive 2010/31/EU promotes the refurbishment of existing buildings to change them into nearly zero-energy buildings (nZEBs). Within this framework, it is of crucial importance to guarantee the best trade-off between energy performance and indoor environmental quality (IEQ). The implications of a global refurbishment scenario on thermal and visual comfort are assessed in this paper pertaining to an existing office building. The retrofit actions applied to achieve the nZEB target consist of a combination of envelope and technical building systems refurbishment measures, involving both HVAC and lighting. Energy and comfort calculations were carried out through dynamic simulation using Energy Plus and DIVA, for the thermal and visual performance assessments, respectively. The results point out that energy retrofit actions on the building envelope would lead to significant improvements in the thermal performance, regarding both energy savings (−37% of the annual primary energy for heating) and thermal comfort. However, a daylighting reduction would occur with a consequent higher electricity demand for lighting (36%). The research presents a detailed approach applicable to further analyses aimed at optimizing the energy efficiency measures in order to reduce the imbalance between visual and thermal comfort and to ensure the best performance in both domains.

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Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements

Cited by 110 publications

References 34 publications

Parametric Optimization of Window-to-Wall Ratio for Passive Buildings Adopting A Scripting Methodology to Dynamic-Energy Simulation

Parametric Optimization of Window-to-Wall Ratio for Passive Buildings Adopting A Scripting Methodology to Dynamic-Energy Simulation

Modeling Nearly Zero Energy Buildings for Sustainable Development in Rural Areas

Transformation of an Office Building into a Nearly Zero Energy Building (nZEB): Implications for Thermal and Visual Comfort and Energy Performance

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