Summary of key existing literature on different focus domains and used tools/architectures frameworks
| Study | Zone | Domain focus | Building type | Architecture/Tool used | Methodology | Gaps identified |
|---|---|---|---|---|---|---|
| Martín-Toral et al. (2019) | Europe | District retrofitting | Mixed-use urban | Cloud-BIM | Energy optimisation | Limited focus on heatwaves and indoor comfort |
| Liu et al. (2023a) | Asia | Tunnel safety | Infrastructure | BIM + Risk Analysis Tool | Safety modelling | Not applicable to residential overheating |
| Luo et al. (2019) | China | Energy prediction | Residential | IoT + Big Data Platform | Predictive analytics | No comfort or risk dimension |
| Sood et al. (2017) | India | Flood management | Urban systems | IoT + Cloud + GIS | Risk-based simulation | Not heatwave specific |
| Biswas et al. (2024) | Global | Green Computing | General | Multi-layer Cloud Framework | Energy efficiency | No focus on residential or overheating risks |
| Meisel et al. (2017) | USA | Smart grid risk | Grid infrastructure | Secure Cloud Reference Architecture | Cyber-physical analysis | Unrelated to indoor thermal needs |
| Baba et al. (2022a,b) | Canada | Thermal simulation | Schools | EnergyPlus + DesignBuilder | Overheating metrics | Lacks real-time/automated BIM input |
| Rahif et al. (2023) | MENA | Overheating in NZEB | Homes | Passive Design Tools | Dynamic thermal simulation | Lacks automation or cloud integration |
| Current study | Multi-region | Residential heatwave assessment + mitigation | Residential | Cloud-BIM + Simulations | DSR | Integrates BIM + climate + Expert feedback + Risk assessment and automation |
| Study | Zone | Domain focus | Building type | Architecture/Tool used | Methodology | Gaps identified |
|---|---|---|---|---|---|---|
| Europe | District retrofitting | Mixed-use urban | Cloud-BIM | Energy optimisation | Limited focus on heatwaves and indoor comfort | |
| Asia | Tunnel safety | Infrastructure | BIM + Risk Analysis Tool | Safety modelling | Not applicable to residential overheating | |
| China | Energy prediction | Residential | IoT + Big Data Platform | Predictive analytics | No comfort or risk dimension | |
| India | Flood management | Urban systems | IoT + Cloud + GIS | Risk-based simulation | Not heatwave specific | |
| Global | Green Computing | General | Multi-layer Cloud Framework | Energy efficiency | No focus on residential or overheating risks | |
| USA | Smart grid risk | Grid infrastructure | Secure Cloud Reference Architecture | Cyber-physical analysis | Unrelated to indoor thermal needs | |
| Canada | Thermal simulation | Schools | EnergyPlus + DesignBuilder | Overheating metrics | Lacks real-time/automated BIM input | |
| MENA | Overheating in NZEB | Homes | Passive Design Tools | Dynamic thermal simulation | Lacks automation or cloud integration | |
| Current study | Multi-region | Residential heatwave assessment + mitigation | Residential | Cloud-BIM + Simulations | DSR | Integrates BIM + climate + Expert feedback + Risk assessment and automation |