Framework for energy-based decision support system (DSS) for residential construction projects

住宅建设项目能源决策支持系统（DSS）框架

• 批准号: 505476-2016
• 负责人: Gul, Mustafa
• 金额: $ 7.96万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=692946
• 关键词: Framework; energy; based; decision; support

Over the years, Canada's cold climate has been the primary driver of the established energy design requirements. While energy demands have been steadily increasing to provide better indoor living conditions, there has been little corresponding innovation with respect to the technology and systems used in the building envelope and heating and cooling system. Thus, the capital costs of construction projects have increased in order to meet these demands. Insufficient energy design procedures have further hindered practitioners during the design stages due to the lack of an innovative framework allowing the efficient exploration of different combinations of building envelope and heating/cooling systems. This research introduces a novel solution for energy efficiency improvement by incorporating energy studies with target costing techniques. The energy evaluation process is based on the direct energy impact of the proposed construction systems-the three level hierarchical systems; assembly systems, sub-assembly systems, and construction components-and their indirect impact due to the interchangeable interactions among the systems. Consequently, an internal comparative-based energy evaluation of all possible energy models that satisfy client's requirements and target cost will be established, and improved energy design along with detailed project estimate breakdown and a full list of project specifications will be generated. The introduction of energy factors and energy mathematical models will promote the exploration of all possible configurations of energy models according to a specific project design. Through the utilization of data mining techniques, the developed energy functions will automatically generate a list of all possible simulated results of the energy consumption of a project, and the rule-based analysis (RBA) will select the alternatives that yield the highest energy efficiency. Finally, the proposed energy management system will provide the basis needed to validate and update the developed TCEng, which, in turn, will guide the energy design for future residential projects.

多年来，加拿大寒冷的气候一直是既定能源设计要求的主要驱动力。虽然为了提供更好的室内生活条件，能源需求一直在稳步增长，但建筑围护结构以及供暖和制冷系统所使用的技术和系统却几乎没有相应的创新。因此，为了满足这些需求，建设项目的资本成本增加了。由于缺乏创新框架来有效探索建筑围护结构和加热/冷却系统的不同组合，能源设计程序的不足进一步阻碍了设计阶段的实践者。 这项研究通过将能源研究与目标成本计算技术相结合，提出了一种提高能源效率的新颖解决方案。能源评估过程基于拟议建筑系统（三级分层系统）的直接能源影响；装配系统、子装配系统和构造部件，以及由于系统之间可互换的相互作用而产生的间接影响。因此，将建立满足客户要求和目标成本的所有可能能源模型的内部比较能源评估，并生成改进的能源设计以及详细的项目估算细目和完整的项目规格清单。能源因素和能源数学模型的引入将促进根据具体项目设计探索所有可能的能源模​​型配置。通过利用数据挖掘技术，开发的能源函数将自动生成项目能源消耗所有可能的模拟结果列表，并且基于规则的分析（RBA）将选择产生最高能源效率的替代方案。最后，拟议的能源管理系统将为验证和更新开发的 TCEng 提供所需的基础，从而指导未来住宅项目的能源设计。