A DFuzzy-DAHP Decision-Making Model for Evaluating Energy-Saving Design Strategies for Residential Buildings

Liu, Kuang-Sheng; Hsueh, Sung‐Lin; Wu, W. C.; Chen, Yu-Lung

doi:10.3390/en5114462

Cited by 32 publications

(15 citation statements)

References 75 publications

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“…These data offer a basis to estimate energy savings of individual buildings and the entire community. 2 MF assumes a reverse vertical gradient with maximum cooling at the ground floor (1.2 °C) near the podium surface, decreasing to 0.5 °C at the top floor. This pattern echoes the dominant proximal cooling effect of podium greening on low floors of the residential units, and the prominent linear height-decay cooling trend.…”

Section: Vertical Cooling Effectsmentioning

confidence: 99%

“…Roof greening presents a feasible design strategy for microclimate amelioration and energy conservation in cities [2]. Previous field and modeling studies in various climatic zones indicate that an individual green roof can reduce roof surface temperature by 15-45 °C, near-surface air temperature by 2-5 °C and building energy consumption by up to 80% [3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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Green-Roof Effects on Neighborhood Microclimate and Human Thermal Sensation

2013

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Green roofs have been recognized as an effective sustainable design tool to mitigate urban heat island (UHI) effects. Previous studies have identified green-roof benefits in cooling and energy-conservation at the building scale, with limited exploration of the wider influence on neighborhood microclimate and human thermal comfort (HTC). This paper investigated the impacts of community-scale green-roof installation on air temperature and HTC in five typical residential neighborhoods of subtropical Hong Kong. The microclimate models ENVI-met and RayMan permitted studies of two main green-roof scenarios, namely extensive (EGR) and intensive (IGR). Microclimatic monitoring data from a local experimental green-roof site validated the modeling methods. The results verified that green-roof cooling effects were not restricted to rooftops, but extended to the ground to improve neighborhood microclimate. EGR reduced pedestrian-level air temperature by 0.4-0.7 °C, and IGR by 0.5-1.7 °C, with maximum effect in open-set low rise sites. Coverage by building footprints and building height dampened lateral and vertical advection of cool air generated by green roofs. Roof greening also improved notably the rooftop-podium level HTC. Diurnal duration of high heat stress was reduced by 6-9 h for EGR scenarios, and 9-11 h for IGR. The findings indicated that large-scale green-roof installation could bring neighborhood-wide cooling, mitigate urban heat island effect, and furnish more comfortable thermal environment for urban residents.

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Section: Vertical Cooling Effectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Green-Roof Effects on Neighborhood Microclimate and Human Thermal Sensation

2013

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“…To enable environmentally friendly construction, buildings should be designed to reduce their CO 2 emissions from the earliest design stages. CO 2 emissions can be reduced in the early stages by using novel building materials, such as low-carbon materials, and by recycling [6,8,[13][14][15]. Additionally, CO 2 emissions can be reduced by reflecting the unit CO 2 emission of each structural material in the design stage [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Cost and CO2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings

et al. 2013

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Abstract:The construction industry is a representative industry that consumes large amounts of energy and produces substantial pollution. The operation of a building accounts for a large portion of its total CO 2 emissions. Most efforts are focused on improving the energy efficiency related to the operation of a building. The relative importance of the energy and CO 2 emissions from the construction materials increases with the increasing number of low-energy buildings. To minimize the life-cycle energy use of a building, the energy consumed from both materials in the construction phase as well as the energy consumed from the operation of the building must be reduced. In this study, an optimal design method for composite columns in high-rise buildings using a genetic algorithm is proposed to reduce cost and CO 2 emissions from the structural materials in the construction phase. The proposed optimal method minimizes the total cost, including the additional cost calculated based on CO 2 emissions from composite columns, while satisfying the structural design criteria and constructability conditions. The proposed optimal method is applied to an actual 35-story building, and the effective use of structural materials for the sustainable design of composite columns is investigated. It is shown that using more concrete than OPEN ACCESSEnergies 2013, 6 5610 steel section and using high-strength materials are economically and environmentally effective methods.

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“…In the subsidy policies for solar power system, people are encouraged to install solar power systems [22,23] on the roofs of residential buildings and tall buildings, in unused spaces, factory plants, and in schools. These institutions can subsequently sell electricity to the public sector of the power company.…”

mentioning

confidence: 99%

Assessing the effectiveness of community-promoted environmental protection policy by using a Delphi-fuzzy method: A case study on solar power and plain afforestation in Taiwan

Hsueh

2015

Renewable and Sustainable Energy Reviews

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a b s t r a c tTaiwan is a nation densely concentrated with industrial properties, causing a high level of greenhouse gas emissions. Therefore, poor air quality and environmental pollution in Taiwan are severe societal problems. Although Taiwan has formulated severe environmental protection-related penalties, the excessive use of energy and high level of pollution remain a persisting environmental problem in Taiwan. Because communities are collective groups beneficial for the promotion of local policies, several subsidy policies for environmental quality improvement are currently promoted through community development in Taiwan. These policies consider factors such as Taiwan's long-day geographical environment and the increase in idle agricultural land after the process of economic transition. To explore the effectiveness of promoting these policies, this study applied the Delphi method and fuzzy logic theory to establish a quantified effectiveness assessment model. In addition, we determined that communities that encourage the participation of its residents and factors such as proenvironment, solar power, and plain afforestation enhanced the overall environmental protection of the community and reduced the emission of CO 2 . Furthermore, the core problems that hinder the improvement of current policies were identified.

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A DFuzzy-DAHP Decision-Making Model for Evaluating Energy-Saving Design Strategies for Residential Buildings

Cited by 32 publications

References 75 publications

Green-Roof Effects on Neighborhood Microclimate and Human Thermal Sensation

Green-Roof Effects on Neighborhood Microclimate and Human Thermal Sensation

Cost and CO2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings

Assessing the effectiveness of community-promoted environmental protection policy by using a Delphi-fuzzy method: A case study on solar power and plain afforestation in Taiwan

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