The Experts below are selected from a list of 15921 Experts worldwide ranked by ideXlab platform
Bing Li Chen - One of the best experts on this subject based on the ideXlab platform.
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Insulation Design for Non-Heated Stairwells of Residences in Severe Cold Zones
Applied Mechanics and Materials, 2014Co-Authors: Bing Li ChenAbstract:With the continuous improvement of energy efficiency standards, the insulation design of stairwells is further strengthened. As some problems exist in insulation design for non-heated stairwells in engineering practices, the author proposes specific requirements on insulation design for non-heated stairwells of residences in severe Cold Zones by choosing reasonable insulation materials and construction methods to meet the requirements of stair width.
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Research on Window Cleaning Methods for High-Rise Residences in Severe Cold Zones
Applied Mechanics and Materials, 2014Co-Authors: Bing Li ChenAbstract:With the increasing height of buildings, cleaning the glass of high-rise residential buildings represents a lot of potential safety hazards. The difficulty for households to clean their windows has become a concern for everyone. To solve the problem fundamentally, we need to start from the architectural design and make technical improvements to the traditional practices. This paper raises specific measures on this subject and discusses the possibilities of these measures.
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A Study on Window Design Optimization for Residences in Severe Cold Zones
Applied Mechanics and Materials, 2013Co-Authors: Bing Li ChenAbstract:The aim of this thesis is carrying out a study on the residential architectural design in the central and western parts of Inner Mongolia, with an analysis on existing problems on the window design, based on the theory of residential building design and the energy-saving policy, in order to come up with an optimization of residential window design in severe Cold Zones.
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a study on the balcony thermal environment design in china s Cold Zones
Applied Mechanics and Materials, 2012Co-Authors: Bing Li ChenAbstract:Thermal environment of the residence balcony has important impact on the indoor living condition especially in the residence buildings built in the recent decades in China’s Cold Zones. Supported with case studies on the newly built urban residence in Hohhot of north China’s Inner Mongolia Autonomous Region, possible technical measures are discussed to provide a better thermal environment solution in the residence balcony in China’s Cold areas, which feature significant temperature difference between day and night and obvious indoor temperature change from balcony to inner space.
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A Study on the Balcony Thermal Environment Design in China’s Cold Zones
Applied Mechanics and Materials, 2012Co-Authors: Bing Li ChenAbstract:Thermal environment of the residence balcony has important impact on the indoor living condition especially in the residence buildings built in the recent decades in China’s Cold Zones. Supported with case studies on the newly built urban residence in Hohhot of north China’s Inner Mongolia Autonomous Region, possible technical measures are discussed to provide a better thermal environment solution in the residence balcony in China’s Cold areas, which feature significant temperature difference between day and night and obvious indoor temperature change from balcony to inner space.
Yuetao Wang - One of the best experts on this subject based on the ideXlab platform.
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shape optimization of free form buildings based on solar radiation gain and space efficiency using a multi objective genetic algorithm in the severe Cold Zones of china
Solar Energy, 2016Co-Authors: Longwei Zhang, Lingling Zhang, Yuetao WangAbstract:Abstract In the severe Cold Zones of China, solar radiation is one of the most important issues in architectural design. The design seeks to make buildings receive more direct sunlight within the limits of the user’s comfort and simultaneously save energy and space. So far in China, the design of solar radiation has usually been qualitative, not quantitative, and it is often implemented by architects with experience or those following convention. This rough and rigid design approach is not accurate or efficient, particularly in the design of free-form buildings, which comprise a class of irregular-form buildings popular in current architectural design. Moreover, solar radiation is not the only thing that needs to be considered; shape coefficient and space efficiency should also be considered in free-form building design. This study proposes a method for a free-form building that receives more solar radiation though shape optimization and takes into account the other two objectives mentioned above. This paper provides a method with a “Modeling–Simulation–Optimization” framework. In the process of applying this method, parametric modeling with Rhinoceros and Grasshopper is used to build up the free-form building model, and the shape optimization of the building is processed by using the multi-objective genetic algorithm to make sure the three objectives—i.e., to maximize solar radiation gain, to maximize space efficiency, and to minimize the shape coefficient—are all achieved. Finally, a Pareto frontier is generated to show the optimal solutions and to assist designers in making final decisions. The case study shows that compared with the cube-shaped reference building, the total solar radiation gain of the optimized free-form shape building is 30–53% higher, and the shape coefficient value is reduced by 15–20%, with a decrease of less than 5% of the space-efficiency values. The proposed method, according to the basic process of architecture design, uses a performance-driven approach to find solutions that satisfy the requirements. It can be used in real architectural design to solve practical optimization problems.
Azam Khosravi Mashizi - One of the best experts on this subject based on the ideXlab platform.
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Temporal and Spatial Assessment of Supply and Demand of the Water-yield Ecosystem Service for Water Scarcity Management in Arid to Semi-arid Ecosystems
Water Resources Management, 2020Co-Authors: Mohsen Sharafatmandrad, Azam Khosravi MashiziAbstract:Water scarcity is one of the problems affecting people’s livelihoods in arid and semi-arid areas, requiring a sustainable balance between water demands and water resources. This study was carried out to assess temporal and spatial distribution of water supply and demand in order to help managers to overcome water scarcity in Jiroft basin, southeastern Iran. Spatial supply and demand of water were mapped and standardized rainfall index (SPI) was used to assess drought for a 20 years period (1994–2014). Supply and demand of water were matched in 23% of the basin area, mostly concentrated in the Cold Zones. Water supply was reduced up to 80% during dry years, declining water supply-demand matching to 5% of the basin area. Shrub-grass rangelands and deciduous woodlands were the most valuable land covers for conservation with $ 1,100 and $ 936 per hectare water prices respectively. Water value dropped more than 72% in mismanaged ecosystems (p
Godfried L. Augenbroe - One of the best experts on this subject based on the ideXlab platform.
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Retrofitting High-Rise Residential Building in Cold and Severe Cold Zones of China—A Deterministic Decision-Making Mechanism
Sustainability, 2020Co-Authors: Uzzal Hossain, Godfried L. AugenbroeAbstract:This study aimed to develop a deterministic decision-making mechanism for finding the optimum set of retrofit solutions of existing high-rise residential buildings in two different climatic Zones of China. The retrofit solutions were critically examined with different energy saving targets based on the local climatic conditions, building features, and retrofit costs in Cold and severe Cold Zones comparatively. By making the extensive review and analyzing considerable statistics data and cost information, net present value (NPV) method was employed in the prototype building apartments to develop this deterministic model. The results demonstrated that the heating system is the most important factor in saving energy and obtaining the optimum revenue in these two regions. The highest optimal NPV can be obtained by achieving 60% energy saving in the Cold zone, as energy saving is around 319 kWh/m2/year with the total retrofit costs of USD $3560, while it is 281 kWh/m2/year with the total retrofit costs of USD $3480 to achieve the 50% energy-saving target in the severe Cold zone. Based on the analysis of energy savings and retrofit costs, the results can be effectively implemented for the purpose of creating sustainable retrofits in existing buildings, and the model can be adapted for selecting appropriate retrofit choices in other climatic Zones.
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retrofitting high rise residential building in Cold and severe Cold Zones of china a deterministic decision making mechanism
Sustainability, 2020Co-Authors: Md Uzzal Hossain, Godfried L. AugenbroeAbstract:This study aimed to develop a deterministic decision-making mechanism for finding the optimum set of retrofit solutions of existing high-rise residential buildings in two different climatic Zones of China. The retrofit solutions were critically examined with different energy saving targets based on the local climatic conditions, building features, and retrofit costs in Cold and severe Cold Zones comparatively. By making the extensive review and analyzing considerable statistics data and cost information, net present value (NPV) method was employed in the prototype building apartments to develop this deterministic model. The results demonstrated that the heating system is the most important factor in saving energy and obtaining the optimum revenue in these two regions. The highest optimal NPV can be obtained by achieving 60% energy saving in the Cold zone, as energy saving is around 319 kWh/m2/year with the total retrofit costs of USD $3560, while it is 281 kWh/m2/year with the total retrofit costs of USD $3480 to achieve the 50% energy-saving target in the severe Cold zone. Based on the analysis of energy savings and retrofit costs, the results can be effectively implemented for the purpose of creating sustainable retrofits in existing buildings, and the model can be adapted for selecting appropriate retrofit choices in other climatic Zones.
Longwei Zhang - One of the best experts on this subject based on the ideXlab platform.
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shape optimization of free form buildings based on solar radiation gain and space efficiency using a multi objective genetic algorithm in the severe Cold Zones of china
Solar Energy, 2016Co-Authors: Longwei Zhang, Lingling Zhang, Yuetao WangAbstract:Abstract In the severe Cold Zones of China, solar radiation is one of the most important issues in architectural design. The design seeks to make buildings receive more direct sunlight within the limits of the user’s comfort and simultaneously save energy and space. So far in China, the design of solar radiation has usually been qualitative, not quantitative, and it is often implemented by architects with experience or those following convention. This rough and rigid design approach is not accurate or efficient, particularly in the design of free-form buildings, which comprise a class of irregular-form buildings popular in current architectural design. Moreover, solar radiation is not the only thing that needs to be considered; shape coefficient and space efficiency should also be considered in free-form building design. This study proposes a method for a free-form building that receives more solar radiation though shape optimization and takes into account the other two objectives mentioned above. This paper provides a method with a “Modeling–Simulation–Optimization” framework. In the process of applying this method, parametric modeling with Rhinoceros and Grasshopper is used to build up the free-form building model, and the shape optimization of the building is processed by using the multi-objective genetic algorithm to make sure the three objectives—i.e., to maximize solar radiation gain, to maximize space efficiency, and to minimize the shape coefficient—are all achieved. Finally, a Pareto frontier is generated to show the optimal solutions and to assist designers in making final decisions. The case study shows that compared with the cube-shaped reference building, the total solar radiation gain of the optimized free-form shape building is 30–53% higher, and the shape coefficient value is reduced by 15–20%, with a decrease of less than 5% of the space-efficiency values. The proposed method, according to the basic process of architecture design, uses a performance-driven approach to find solutions that satisfy the requirements. It can be used in real architectural design to solve practical optimization problems.