A BIM-based Lifecycle Decision Support System for Early Stage Design

Akonovia是一家专门从事建筑节能的咨询公司，帮助设计团队和业主降低建筑生命周期成本。Akonovia(前身为Simulead)是魁北克第一家使用BIM(建筑信息建模)进行能源模拟的公司。在概念设计和原理图设计阶段，机械和建筑系统的设计通常仅限于对可用的备选方案进行定性(有时是高水平的定量)评估。根据Akonovia专家的经验，目前能源模拟大多是在选择较好的设计时进行的(主要依靠工程经验)。然而，该项目将建筑能耗模拟与经济分析相结合，开发了一个强大的决策支持系统，为原理图和概念设计阶段的数据决策提供定量支持。加拿大和其他地方最近的几项研究强调了将经济分析与能源模拟相结合的好处，以降低能源消耗和生命周期成本。优化生命周期性能需要在建筑设计的非概念化阶段就采取行动。在建筑物的早期设计阶段作出的决定，通常倾向于承担相当大的费用(或节省)，这些费用(或节省)将在生命周期的后期阶段产生，并对生命周期的成本和收益产生最大程度的影响。基于最先进的BIM、开源技术和经济分析，该Engage Grant支持基于声学的决策支持系统的开发，该系统将能源模拟与经济分析相结合，在建筑概念化的早期阶段对建筑生命周期性能进行量化分析。康科迪亚大学的研究团队与Akonovia作为行业合作伙伴的未来合作，可以将决策支持系统扩展到与物联网(IoT)的集成，并提供一个工具来控制已建设施的能源消耗行为，并丰富系统的数据库，以便在新设计中进行更准确的分析和预测。

Akonovia, a consultant company specialized in building energy efficiency, helps design teams and owners toreduce building lifecycle costs. Akonovia (formerly Simulead) has been the first company in Quebec to carryout mandates of energy simulation using BIM (Building Information Modeling). Designing mechanical andarchitectural systems during the conceptual and schematic design stages is normally limited to qualitative (andsometimes, high-level quantitative) evaluation of available alternatives. According to the Akonovia experts'experience, energy simulations are currently mostly performed when the preferable design is selected (mostlyby relying on the engineering experience). This project, however, develops a robust decision support system bycombining building energy simulation with economic analyses to provide a quantitative support to data-drivendecision making in schematic and conceptual design phases. Several recent studies in Canada and elsewherehave highlighted the benefits of coupling economic analyses with energy simulation, to decrease the energyconsumption and lifecycle costs. Optimizing the lifecycle performance requires taking actions as early as inconceptualization steps of the building design. Decisions made at the early design phases of buildings,normally tend to commit considerable costs (or savings) that will be incurred at later phases of the lifecycle andhave the greatest level of impact on the lifecycle costs and benefits. On the foundation of the state-of-the-art ofBIM, open source technologies, and economic analytics, this Engage Grant supports development of acloud-based decision support system which combines energy simulation with economic analyses forquantitative analysis of building lifecycle performance, at early stages of building conceptualization. The futurecollaboration between the research team at Concordia University and Akonovia, as the industry partner, canextended the decision support system to be integrated with IoT (Internet of Things) and provide a tool forcontrolling the energy consumption behavior of the built facility, and also to enrich the system's database formore accurate analyses and forecasts in new designs.