Behind The Paper: Lifecycle and circular economy assessment of bio based retrofitting strategies for heritage buildings using case studies from Iran, Oman and Saudi Arabia

This paper grew out of a concern that many researchers and designers in our field face: how can we improve the environmental performance of heritage buildings without damaging the cultural value that makes them worth preserving in the first place?
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Nature Publishing Group UK
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Lifecycle and circular economy assessment of bio based retrofitting strategies for heritage buildings using case studies from Iran, Oman and Saudi Arabia - Scientific Reports

The sustainable retrofitting of heritage buildings presents a unique challenge in aligning environmental performance with cultural preservation. This study proposes an integrated framework combining Lifecycle Assessment (LCA), Circular Economy (CE) evaluation, Multi-Criteria Decision Analysis (MCDA), and Artificial Neural Network (ANN) modeling to assess Bio-Based retrofitting strategies for historical structures. Three case studies Ganjali Khan Complex (Iran), Bait Al Zubair (Oman), and Al-Balad District (Saudi Arabia) were selected to represent diverse climatic and cultural contexts. Retrofitting scenarios including Traditional, Bio-Based, and Circular-Optimized approaches were compared based on four main criteria: Global Warming Potential (GWP), Circularity Score, Retrofit Cost, and Heritage Compatibility. Bio-Based materials were selected based on low embodied carbon, biodegradability, and local availability. The LCA was performed using MATLAB and international databases (Ecoinvent, OneClick LCA, ICE) to assess embodied emissions of retrofit materials (Modules A1–A3), operational energy use of the building (Module B6), and end-of-life treatment of retrofit materials (Modules C1–C4). The Material Circularity Indicator (MCI) model was used to evaluate circularity performance. Scenario ranking was performed using the TOPSIS method, while ANN modeling predicted the optimal retrofit strategy and conducted sensitivity analysis. Results indicate that the Circular-Optimized retrofit strategy achieves the highest overall sustainability performance across case studies, delivering significant lifecycle CO₂ reductions and long-term cost savings. Over a 50-year assessment period, cumulative CO₂ savings reach up to 720 tons per building, while financial savings range between $80,000 and $95,000. The findings demonstrate that integrating circular principles with bio-based materials can enhance environmental performance without compromising heritage compatibility. The proposed methodology offers a replicable model for sustainable conservation, bridging the gap between architectural heritage and environmental resilience.

That question became the starting point of this research, which eventually developed into an integrated framework combining lifecycle assessment, circular economy evaluation, decision analysis, and ANN-based prediction for heritage retrofitting across case studies in Iran, Oman, and Saudi Arabia.One of the most difficult parts of this journey was not only the technical work, but the nature of the topic itself. Heritage retrofitting is already complex because it sits between two worlds: conservation and performance. On one side, there is the responsibility to protect architectural identity, material authenticity, and historical meaning. On the other side, there is growing pressure to reduce carbon emissions, improve energy performance, and align buildings with circular and sustainable strategies. Bringing these priorities together in a meaningful way required much more than simply comparing materials. It required building a framework that could respect both environmental and cultural values at the same time. The final study compared three retrofit pathways—Traditional, Bio-Based, and Circular-Optimized—across three heritage contexts using GWP, circularity, cost, and heritage compatibility as the main criteria.

A major challenge was collecting and organizing the data needed for such a framework. This kind of study depends on bringing together very different types of information: lifecycle emission factors, material circularity potential, retrofit costs, local fit, heritage compatibility, and long-term operational savings. That process demanded a great deal of patience and energy. It was not only about finding numbers, but about deciding which assumptions were justifiable and how to make the comparison fair across buildings in different countries and cultural contexts. The work became even more demanding because access to advanced research facilities and resources is not always readily available, especially when working under the constraints many researchers face in the region. In that sense, the paper was shaped not only by academic ambition, but also by persistence under limitation. Another hard part was choosing the retrofit materials and strategies themselves. Bio-based retrofitting sounds promising in theory, but in practice, selecting appropriate materials for heritage buildings is delicate. The materials had to make environmental sense, fit circular economy thinking, and still remain compatible with historic fabric. In the paper, the material strategy was guided by low embodied carbon, recyclability, local sourcing, and reversibility or non-invasive compatibility with historical architecture. That sounds concise when written in the methods section, but reaching that level of clarity required extensive reading, filtering, and critical judgment.

The analytical side of the research was equally intensive. The study combined LCA, MCI-based circularity scoring, TOPSIS ranking, and an ANN model for retrofit prediction. Each of these tools answers a different question, but connecting them into one coherent research design was not straightforward. There were many moments when the work felt fragmented: environmental assessment in one place, circularity in another, decision-making in another. One of the real breakthroughs of the project was realizing that the strength of the paper would come from integration, not from any single method alone. That is ultimately what gave the study its identity. The resulting framework assessed embodied emissions, operational energy savings over 50 years, end-of-life impacts, scenario ranking, and predictive modeling in one workflow.

The most rewarding moment came when the results began to show a clear pattern. Across the case studies, the Circular-Optimized strategy generally emerged as the strongest overall performer, while the Traditional retrofit consistently ranked weakest. The paper reports that over a 50-year period, cumulative CO₂ savings could reach up to 720 tons per building, with long-term financial savings ranging from about $80,000 to $95,000. Seeing those findings emerge from such a demanding process was one of the true highs of the journey, because it showed that sustainability and heritage compatibility do not have to be treated as opposing goals.  Looking back, this paper is not only about lifecycle assessment or circular economy. It is about the effort required to build knowledge across disciplines, across climates, and across constraints. It is about doing careful research even when resources are limited. And it is about believing that heritage buildings should not be seen as obstacles to sustainability, but as opportunities to rethink it more intelligently and more respectfully. In many ways, the journey behind this paper was as much about persistence as it was about method.

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