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By Luiz Filipe Evelin Arruda, Sam Schoenlank, and Antonia Egli (Dublin City University) Join us as we wrap up our exploration of the open access...

By Luiz Filipe Evelin Arruda, Sam Schoenlank, and Antonia Egli (Dublin City University) Join us as we continue to explore the open access book 'Disrupting...

By the SUREFIT Team In an increasingly sustainability-conscious world, Europe is leading the charge towards a greener future with innovative projects like SUREFIT. This EU-funded...

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.

By Samantha Schoenlank and Antonia Egli (Dublin City University) In our quest to explore the transformative impact of technology on the renovation and construction sectors,...

By Samantha Schoenlank and Antonia Egli (Dublin City University) This month, we continue to explore the transformative impact of technology on the renovation sector by...

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.