As research fellow DUOPUU/Paolo Simeone collaborated with Guido Callegari – professor and researcher in architectural technology – to design the original graphics in his very interesting essay Vertical extensions as a strategy for the resilient city inside the new book "Roofscape Design. Regenerating the City upon the City" (Berlin, Jovis, 2021) written by Guido Callegari with Gustavo Ambrosini, both professor at Department of Architecture and Design, Polytechnic University of Turin. The graphics support the essay helping the reader to show the complex connections between the construction sector and the circular economy, existing buildings' architectural additions and the whole life cycle carbon assessment and the adaptive reuse as a driver for the development of new scenarios and strategies.
As research fellow DUOPUU/Paolo Simeone is involved in the "Integrated Photovoltaic Architectural Façade Design” research project 2018-21 carried out by Polytechnic University of Turin, Architecture and Design Department, person in charge Prof. Guido Callegari, which is focused on studying and designing a prototype of a new integrated photovoltaic thermal solar module, ready to be installed on façades of existing and new buildings. [Photo credits: DAD Politecnico Torino / opus Architekten BDA]
XS Ivalsa Prototype is a single prefabricated and transportable housing module designed by DUOPUU and Cnr-Ivalsa Wood building design lab. The module – 11 sqm floor area; m 2,40 X 5,50 base area; m 2,80 height – consists of a transformable living room with kitchen, bed and table as well as one bathroom: XS is a "sustainable wooden caravan" made of 90% renewable materials based on wood, without any toxic treatments. The prototype has been prefabricated in the Ivalsa labs in 5 days ready to be moved by truck to the final destination, in order to be quickly installed and used. Using this first XS prototype as a starting point, DUOPUU is developing an innovative construction system for X-Lam (cross laminated timber panels) modular buildings of different size by assembling a series of prefabricated wooden modules, built entirely in the factory, easily transportable and mountable to obtain the final building in a few steps and short construction phases.More about XS
MIT Sustainable Connected Home is a transportable prototype house designed by DUOPUU and Cnr-Ivalsa Wood building design lab, within an international research project carried out by the Mel Mobile Experience Lab of MIT Massachusetts Institute of Technology and FBK Fondazione Bruno Kessler. Different disciplines have been involved in the MIT prototype: from architecture to information and communication technologies, from timber building technologies to home automation. The goal of the project was to design the building envelope as a modular, transportable structure of sustainable components made out of wood and, at the same time, create a network of sensors - actuators - control systems to optimise the overall performance of the house. Watch the official video. More about MIT
MAI Modulo Abitativo Ivalsa prototype was designed by DUOPUU and Cnr-Ivalsa Wood building design lab within a research project on sustainable buildings carried out in collaboration with Ceii Trentino and with the support of Provincia Autonoma di Trento. The goals of the project were to design and build a small wooden prototype house (about 35 sqm floor area) that can be built and prefabricated in a controlled area (factory), easily transported by truck to the final destination and finally assembled to form a real house in a few hours. The MAI prototype, when leaving the factory, was ready to be assembled and used: the heating-ventilation-airconditioning system, electric installation, plumbing, interior finishing, lights, appliances and furniture were already installed. All the construction phases in the production area have been optimised to reduce the waste of materials, control air and water pollution, and achieve a highly efficient building process with respect to the environment and the workers, too! More about MAI