Ferrari, Ana Lya Moya, Piculo dos Santos, Aline Darc, Bertolaccini, Guilherme da Silva, Medola, Fausto Orsi, and Sandnes, Frode Eika
Ferrari, A.L.M., Piculo dos Santos, A.D., Bertolaccini, G.S., Medola, F.O. & Sandnes, F.E. (2020). Evaluation of orthosis rapid prototyping during the design process: Analysis of verification models. In: M. Di Nicolantonio, E. Rossi & T. Alexander (Eds.), Advances in additive manufacturing, modeling systems and 3D prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, Cham: Springer (pp. 298-307)
Usó, Vanessa Ghiraldeli, Sandnes, Frode Eika, and Medola, Fausto Orsi
Usó, V.G., Sandnes, F.E. & Medola, F.O. (2020). Using virtual reality and rapid prototyping to co-create together with hospitalized children. In: M. Di Nicolantonio, E. Rossi & T. Alexander (Eds.). Advances in additive manufacturing, modeling systems and 3D prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020 (pp. 279-288) Cham: Springer
Blum, David, Jorissen, Filip, Huang, Sen, Arroyo, Javier, Benne, Kyle, Li, Yanfei, Gavan, Valentin, Rivalin, Lisa, Helsen, Lieve, Vrabie, Draguna, Wetter, Michael, and Sofos, Marina
Advanced control strategies are becoming increasinglynecessary in buildings in order to meet and balancerequirements for energy efficiency, demand flexibility,and occupant comfort. Additional development andwidespread adoption of emerging control strategies,however, ultimately require low implementation costs toreduce payback period and verified performance to gaincontrol vendor, building owner, and operator trust. Thisis difficult in an already first-cost driven and risk-averseindustry. Recent innovations in building simulation cansignificantly aid in meeting these requirements andspurring innovation at early stages of development byevaluating performance, comparing state-of-the-art tonew strategies, providing installation experience, andtesting controller implementations. This paper presentsthe development of a simulation framework consisting oftest cases and software platform for the testing ofadvanced control strategies (BOPTEST - BuildingOptimization Performance Test). The objectives andrequirements of the framework, components of a test case,and proposed software platform architecture aredescribed, and the framework is demonstrated with aprototype implementation and example test case.