Abstract. This study concerning green BIM focuses on the integrated application of Building Information Modelling (BIM) and building performance analysis (BPA) software as tools for the design and analysis of building projects, and employs a sequential decision-making cycle and continuously improving design to achieve an optimal proposal consistent with environmental effectiveness. Taking a new Taichung hotel construction project energy consumption design optimization as an example, this study relied on the steps of (1) Determination of the scope of discussion of the proposal within the building life cycle, (2) Setting of energy conservation targets, (3) Accessing to external climate data, (4) Entering internal settings, (5) Implementation of energy conservation calculation module, (6) Visualization analysis and hot spot tracking (7) Proposal Revision, and (8) Optimal proposal, to verify the green BIM concept. With regard to the setting of energy conservation targets, this study recommends that building energy use intensity (EUI) be used as an energy load measurement unit of integrated performance indicators, and employs performance optimization percentage as a rating criterion. In accordance with this method, green BIM combined with assessment of green building indicators is as a means of facilitating integrated design and analysis decision-making. Motivation and goalsIn the face of a rapidly changing climate and global energy crises, how to use building information modelling (BIM) tools to obtain architectural designs offering environmental effectiveness has become a leading issue in the contemporary architectural and construction industries. BIM has two implications, one of which is information modelling, and the other of which is information management. Along related lines, building performance analysis (BPA) software provides building performance visualization and data processing analysis capabilities. Green BIM consequently emphasizes the effective combination of BIM and BPA technologies in integrated design, and seeks to promote a rational building design and analysis decision-making cycle and continuously improving design to ensure the optimized development of designs offering better environmental effectiveness. However, the implementation of green BIM is not a trivial task, and further research and investigation is needed in the areas of software tool selection and integration, and establishment of integrated design procedures and optimal criteria.
Today, automotive design has to face numerous exciting challenges. The growing globalization causes an intensified competition amongst car manufacturers and forces them to reduce the required development time in order to shorten time to market, to appear first with attractive new products. Efficient and flexible processes and tools are necessary to handle the arising complexity efficiently. Parametric-associative 3D-CAD systems offer ideal conditions to face this challenge in virtual development. The present paper focusses on a special issue in automotive concept phasethe vehicle architecture layout process and required parameterization strategies. In most cases, parametric-associative relations defined within 3D-CAD models are of rigid kind. This implies that a formula, which is defined within a 3D-CAD model in order to evaluate a specific parameter, cannot change the input/output situation of involved parameters. In most application cases, this disadvantage can be neglected, but not in case of vehicle layouting in the early concept phase. Since geometric boundary conditions which define the geometric base of a vehicle concept can vary significantly, a rigid model parameterization is not the proper solution and prevents efficient reuse of 3D-CAD models. Additionally, rigid parameterization concepts lack of the required flexibility when having to manage multiple design variants in a single model. Therefore, the present paper outlines a possible strategy, which enables the use of advantages of parametric-associative design, while allowing changes of relations-evaluation behavior in context of respective technical issues and simultaneously preserving necessary geometrical model consistency.
This study proposes the establishment of an environmental health information management platform providing residential users with a comfortable, healthy indoor environment. Taking the S House as an example, the study: (1) assigned environmental health performance indicators, (2) established constraints to maintain environmental conditions, and (3) provided optimized management control mechanisms and methods. The environmental health information management platform provides an optimized control and solution pathway ensuring the quality of the indoor health environment and equipment energy conservation.Keywords: indoor healthy environment; energy conservation; optimal control design Motivation and GoalIn view of the energy conservation and carbon emissions reduction trends, this study proposes the establishment of an environmental health information management platform enabling optimal control of both the quality of the indoor health environment and equipment energy conservation. Modern people spend more than 90% of their time in indoor environments, and indoor environmental quality can directly influence residents' health. In addition, because contemporary buildings do not have equipment integration or communications platforms linking different equipment items, the independent operation of equipment may cause redundant burdens on and waste of resources and energy, reducing the equipment's operating efficiency. Taking the S House as an example, this study proposes a OPEN ACCESS
We present the Enhanced Anthropometric Rating System (EARS), an automated system for evaluating the quality of 3D human body scans. EARS is able to detect and classify both the geometric and anthropometric features of a given mesh and rates its quality. These features and corresponding operations include the roughness of the scanned surface, the fairness of vertex location, area and position of missing body parts, anthropometrically guided segmentation, detection of landmarks, and wrinkles in clothing. The system ranks these features and operations based on their importance as determined by Anthropologists who have specific requirements with respect to understanding the anthropometry of the soldier of the 21 st century. The data scans contain more than 100,000 vertices and over 300,000 facets. The system is able to provide real-time feedback on whether the mesh is suitable for downstream applications. The system will be used by the U.S. Army to do statistical studies on their large human body dataset.
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