Data-Driven Retrofit Strategies in North Shields
Project Overview
The goal of this project was to model a flat built in the 1980s in North Shields and explore various retrofit strategies. The objective was to balance investment in materials and improvements with estimated energy savings, all while maintaining occupant comfort.
By leveraging live data, the project aimed to provide a cost-effective and energy efficient roadmap for sustainable housing upgrades.
Approach & Methodology.
Key data points—including temperature, humidity and energy were collected and analysed to assess the flat’s current performance.
This data-driven approach allowed for an accurate evaluation of different retrofit scenarios, ensuring that recommendations were based on real, observed conditions rather than assumptions.
Findings & Outcomes.
The analysis enabled the development of five distinct retrofit strategies, each designed to optimise energy efficiency while maintaining comfort. The data provided critical insights into the economic viability of each approach, ensuring that potential investments were aligned with achievable energy savings.
Impact & Conclusion.
According to Dr. Pablo Martinez Rodriguez, Assistant Professor at the School of Architecture and Built Environment and Founder of ARLIC (Advanced Research Lab for Industrialized Construction), the data collected played a pivotal role in demonstrating the economic feasibility of the project. By grounding retrofit proposals in empirical evidence, the project successfully outlined practical and financially sound solutions for energy-efficient housing upgrades.
This research underscores the importance of data-driven decision-making in retrofit planning, offering:
A replicable model for similar projects aiming to enhance energy efficiency and sustainability in the built environment.
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