With the planet facing escalating degradation due to mass production and increasing carbon emissions and waste, the buildings sector is at the core of innovation to build or optimize existing buildings, particularly in terms of adopting the most appropriate technologies, considering user behavior, and reducing carbon emissions. This research emphasizes the significance of a comprehensive and inventive approach in addressing the challenges of contemporary building sector practices. Using the Inventive De-sign Methodology (IDM), we propose a decision-support method for an evaluation tool for simulating and calculating the life-cycle costs, energy efficiency, and environmental impact of buildings. This tool is named NUKOSI RE. TRIZ is combined with the Design of Experiments Analysis to identify the most critical parameters of NUKOSI RE and avoid compromises between them. By better understanding the relationships (contradic-tions) among various parameters and recognizing the limitations of current models, we can help decision-makers pave the way for more effective and sustainable construction measures in the future.

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Inventive Design for Decision-Making: Cutting Costs and Reducing Carbon Footprint in Buildings Refurbishment

  • Hicham Chibane,
  • Ulrich Bogenstütter,
  • Rémy Houssin,
  • Amadou Coulibaly,
  • Rabih Slim,
  • Stylianos Chalkidis

摘要

With the planet facing escalating degradation due to mass production and increasing carbon emissions and waste, the buildings sector is at the core of innovation to build or optimize existing buildings, particularly in terms of adopting the most appropriate technologies, considering user behavior, and reducing carbon emissions. This research emphasizes the significance of a comprehensive and inventive approach in addressing the challenges of contemporary building sector practices. Using the Inventive De-sign Methodology (IDM), we propose a decision-support method for an evaluation tool for simulating and calculating the life-cycle costs, energy efficiency, and environmental impact of buildings. This tool is named NUKOSI RE. TRIZ is combined with the Design of Experiments Analysis to identify the most critical parameters of NUKOSI RE and avoid compromises between them. By better understanding the relationships (contradic-tions) among various parameters and recognizing the limitations of current models, we can help decision-makers pave the way for more effective and sustainable construction measures in the future.