التفاصيل البيبلوغرافية
| العنوان: |
Leveraging AI and LiDAR Technology for Climate Smart Engineering: Maximizing Solar Energy Potential. |
| المؤلفون: |
Rizeei, Hossein, Ninsalam, Yazid, Chapman, Thomas, Mansfield, Robyn, Ructtinger, Liliana |
| المصدر: |
EA National Conference Publications; 2023, p400-408, 9p |
| مصطلحات موضوعية: |
SUSTAINABLE engineering, ARTIFICIAL intelligence in industry, SOLAR energy, URBAN landscape architecture, SUSTAINABLE building design & construction |
| مستخلص: |
Effective utilization of solar energy in buildings is crucial for achieving sustainable outcomes and mitigating the impacts of climate change. However, the current approaches for assessing solar energy potential suffer from limitations that hinder progress in this area. Manual assessments lack precision and fail to fully exploit the renewable energy potential available in buildings, resulting in missed opportunities for energy savings and generation. To address this important challenge, we employ advanced techniques combining artificial intelligence (AI) and Light Detection and Ranging (LiDAR) imagery to extract precise building footprints and roof sections. Through this process, we leverage AI algorithms to calculate the 3D geometry of roof areas. This information enables us to determine the maximum capacity of each roof for hosting solar panels, thus optimizing energy generation potential, from individual buildings to city-wide implementations. Furthermore, we utilize solar radiation Geospatial models and AI algorithms to estimate the potential solar radiation received by each roof in kilowatt-hours per square meter (kWh/m2). By combining this data with the previously calculated roof capacity, we assess the solar energy potential of each roof, identifying areas with the highest potential for energy savings. Our main findings reveal that our proposed model enhances the accuracy and efficiency of solar energy assessments. By harnessing the power of AI and Geospatial, we can identify the most suitable roofs for installing solar panels, ensuring the greatest benefits in terms of energy production and savings. Our paper highlights the crucial role of technology and innovation in accelerating sustainable outcomes in climate smart engineering. By leveraging AI and LiDAR technology, we offer a scalable solution that not only maximizes energy potential but also contributes to the broader goal of achieving a more sustainable and climate-resilient future across diverse urban landscapes. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
