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CLIMAVISION Energy Consulting
CLIMAVISION Energy Consulting
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    • Home
    • Services
      • NatHERS Energy Efficiency
      • Whole Of Home Assessment
      • BASIX Certificate
      • NatHERS For Existing Home
      • Climate Adaptive Design
      • Sustainability Advisory
    • Insights
      • Grounded in Reserach
    • About Us
    • Contact Us
  • Home
  • Services
    • NatHERS Energy Efficiency
    • Whole Of Home Assessment
    • BASIX Certificate
    • NatHERS For Existing Home
    • Climate Adaptive Design
    • Sustainability Advisory
  • Insights
    • Grounded in Reserach
  • About Us
  • Contact Us

Research Conducted by Our Experts

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Dynamic climate-adaptive design: A key to realizing future-proof energy efficiency in building sector

 At this research, published in the Applied Energy Journal, we explored how building energy designs based on present-day weather conditions risk losing their efficiency over time as climate conditions continue to change. We proposed a conceptual framework that moves beyond traditional static-based energy design and introduces a dynamic, climate-adaptive approach — one that equips buildings not only to withstand future climate changes but to perform optimally within them. Our framework was tested against a conventional static-based energy-optimised design, with results demonstrating a strong potential to incorporate climate variability into building energy design, achieving an average energy demand reduction of 23%. This research concluded that static-based designs are inherently suboptimal in future climate conditions, reinforcing the urgent need for adaptive, forward-thinking approaches to building energy design. 

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Enhancing building energy efficiency through a climate adaptive design: Considering upcoming extreme climate conditions

 At this research, published in the Journal of Cleaner Production, we examined how climate change stands as one of the most significant factors affecting long-term building energy efficiency, demonstrating that conventional design approaches relying solely on historical weather data are increasingly inadequate in the face of a changing climate. We proposed a novel framework designed to facilitate dynamic design upgrades in response to evolving and extreme climate conditions — addressing a critical gap in existing research. Applying this framework to a case study building in Australia, we achieved an average annual thermal load reduction of around 31%. Our results further revealed that conventional design pathways are likely to leave buildings poorly prepared for future climate conditions, while our proposed framework not only maintains expected energy performance over time but also delivers a more realistic picture of building energy demand patterns — making it a powerful tool for the future of climate-adaptive building design. 

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A framework for identifying the appropriate quantitative indicators to objectively optimize the building energy consumption considering sustainability and resilience aspects

In this research, published in the Journal of Building Engineering, we addressed a long-standing challenge in the building industry — the tendency for sustainability and resilience to be integrated into building designs subjectively, often influenced by expert opinion and criteria-based green rating systems rather than objective, evidence-based frameworks. To overcome this, we structured the integration of sustainability and resilience as an optimisation problem, identifying the most suited quantitative indicators capable of objectively capturing key sustainability and resilience aspects within the building energy domain. Through a comprehensive systematic literature review, we compiled a refined set of indicators directly tied to building energy performance — each ready to be applied within an optimisation framework. Our findings provide designers with a reliable, objective foundation for integrating sustainability and resilience into building energy design, moving the industry beyond subjective judgement and towards smarter, evidence-driven outcomes.

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