Energy-oriented design tools for collaboration in the cloud

Emerging from the challenge to reduce energy consumption in buildings is the need for energy simulation to be used more effectively to support integrated decision making in early design. As a critical response to a Green Star case study, we present DEEPA, a parametric modeling framework that enables architects and engineers to work at the same semantic level to generate shared models for energy simulation. A cloud-based toolkit provides web and data services for parametric design software that automate the process of simulating and tracking design alternatives, by linking building geometry more directly to analysis inputs. Data, semantics, models and simulation results can be shared on the fly. This allows the complex relationships between architecture, building services and energy consumption to be explored in an integrated manner, and decisions to be made collaboratively

AGILE the Next Generation of Collaborative MDO: Achievements and Open Challenges

The EU funded AGILE project is developing the next generation of aircraft Multidisciplinary Design and Optimization processes, which target significant reductions in aircraft development costs and time to market, leading to more cost-effective and greener aircraft solutions. 19 industry, research and academia partners from Europe, Canada and Russia are developing solutions to cope with the challenges of collaborative design and optimization of complex products. In order to accelerate the deployment of large-scale, collaborative multidisciplinary design and optimization (MDO), a novel methodology, the so-called AGILE Paradigm, has been developed. The AGILE Paradigm is a “blueprint for MDO”, guiding the deployment and the execution of collaborative “MDO systems” for complex products practiced by cross-organizational design teams, distributed multi-site, and with heterogeneous expertise. A set of technologies has been developed by the AGILE consortium in order to enable the implementation of the AGILE Paradigm, and to support the design and the optimization of novel aircraft configurations. The AGILE Paradigm ambition is reduce the lead time of 40% with respect to the current state-of-the-art. This paper addresses the MDO challenges tackled by the AGILE Paradigm. An overview of the main AGILE Paradigm’s underlying architecture is described. The paper presents a preliminary assessment of the AGILE Paradigm application, and provides an overview of the main achievements enabled by its implementation for the solution of selected aircraft design and optimization use cases. The paper concludes with an overview of the challenges still open and an outlook of the AGILE Paradigm