[HTML][HTML] Increasing electrical reserve provision in districts by exploiting energy flexibility of buildings with robust model predictive control

F Bünning, P Heer, RS Smith, J Lygeros - Advances in Applied Energy, 2023 - Elsevier
Due to their thermal inertia, buildings equipped with electric heating and cooling systems
can help to stabilize the electricity grid by shifting their load in time, and can thus facilitate …

DFAB HOUSE: implications of a building-scale demonstrator for adoption of digital fabrication in AEC

K Graser, A Kahlert, DM Hall - Construction Management and …, 2021 - Taylor & Francis
Abstract The Architecture, Engineering and Construction (AEC) industry finds itself in an
accelerating shift towards the use of more digital fabrication (DFAB) technologies. DFAB …

[HTML][HTML] Feedback-driven adaptive multi-robot timber construction

A Adel, D Ruan, W McGee, S Mozaffari - Automation in Construction, 2024 - Elsevier
Automation and robotics are anticipated to play a crucial role in addressing challenges
confronting the construction industry, such as low productivity, workforce shortages, and …

Co-robotic assembly of nonstandard timber structures

A Adel - 2023 - deepblue.lib.umich.edu
This paper presents a novel approach for the construction of nonstandard timber structures
made from regionally sourced short dimensional lumber, which is enabled through human …

Reducing uncertainty in multi-robot construction through perception modelling and adaptive fabrication

D Ruan, W McGee, A Adel - 2023 - deepblue.lib.umich.edu
One of the significant challenges for robotic construction with dimensional lumber and other
construction materials is the accumulation of material imperfections and manufacturing …

[PDF][PDF] In-Situ Robotic Fabrication of Spatial Glulam Structures

HUA CHAI, Z GUO, HJ WAGNER… - … -Proceedings of the …, 2022 - researchgate.net
While current approaches in timber construction stress the advantages of off-site
prefabrication, glued laminated timber (glulam) structures is limited to the constraints of …

[PDF][PDF] Marrying Machine Learning and Model Predictive Control for efficient Building Energy Management

F Bünning - 2021 - research-collection.ethz.ch
The heating and cooling of buildings are responsible for a significant share of the global
final energy consumption and CO2 emissions. At the same time, buildings and districts with …