The construction industry, representing a significant portion of GDP in most countries, has historically struggled with inefficiencies. However, advancements in digital technologies and automation are driving transformative changes - robotics in particular offers promise in improving safety, productivity, and skilled worker shortages. Despite the potential benefits, challenges such as high capital costs, safety concerns, and the need for upskilling workers remain. Nonetheless, with the right frameworks and assessments in place, intelligent construction equipment and robotics can revolutionise the industry by enhancing efficiency, safety, and quality.
Additive manufacturing (AM) has revolutionised the construction industry by allowing the fabrication of three-dimensional objects through layer-based material connections. With methods like selective laser sintering (SLS) and fused deposition modelling (FDM), AM can utilise various materials such as metals, composites, ceramics, and polymers, facilitating the creation of complex structural components with minimal waste. Particularly in concrete 3D printing, the market is booming, expected to reach $40 billion by 2027. Yet, challenges persist, including high equipment costs, labour shortages, and environmental concerns regarding material usage and energy consumption.
Building simulation is a technique that uses computational, mathematical, and machine learning models to represent the physical characteristics, expected or actual operation, and control strategies of a building and its energy systems. The RINNO blog series on the recently published open access book ‘Disrupting Buildings: Digitalisation and the Transformation of Deep Renovation’ moves to Chapter 4: Building Performance Simulation this week with Asimina Dimara, Prof. Stelios Krinidis, Dr. Dimosthenis Ioannidis, and Dr. Dimitrios Tzovaras. Read on for a better understanding of the building performance simulation domain with significant use cases, widely used simulation tools, and the challenges for implementation.
The RINNO blog series on the recently published open access book ‘Disrupting Buildings: Digitalisation and the Transformation of Deep Renovation’ continues with a spotlight on Chapter 3: Building Information Modelling with Dr Omar Doukari, Prof Mohamad Kassem, and Prof David Greenwood. Read on to better understand the potential of building information modelling in deep renovation projects. For timely updates on this blog series, sign up to the RINNO newsletter or follow us on social media here.
RINNO is a H2020 project to develop, validate and demonstrate an operational interface with augmented intelligence and an occupant-centered approach that will streamline and facilitate the whole lifecycle of building renovation (planning-design, retrofitting, monitoring).
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 892071.
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