Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation
Nowadays, the rise of Internet of Things (IoT) devices is driving technological upgrades and transformations in the construction industry, the integration of IoT devices in buildings is crucial for both the buildings themselves and the intelligent cities. However, large-scale IoT devices increase en...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/14/3/769 |
| _version_ | 1797241765027119104 |
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| author | Qingbin Dai Jingui Qian Shun Li Li Tao |
| author_facet | Qingbin Dai Jingui Qian Shun Li Li Tao |
| author_sort | Qingbin Dai |
| collection | DOAJ |
| description | Nowadays, the rise of Internet of Things (IoT) devices is driving technological upgrades and transformations in the construction industry, the integration of IoT devices in buildings is crucial for both the buildings themselves and the intelligent cities. However, large-scale IoT devices increase energy consumption and bring higher operating costs to buildings. Therefore, harvesting the ambient cost-effective and clean energy sources is essential for the future development of intelligent buildings. In this work, we investigate the feasibility of integrating a typical triboelectric droplet energy harvester (DEH) into buildings. We demonstrate the energy harvesting capabilities of DEH on different sloped roof surfaces and complex curved building surfaces by simulating rainy weather with various rainfall intensities. The results indicate energy harvesting efficiency increases with larger tilt angles, which guides future smart architectural designs. This work is significant for the future integration of diversified, all-weather green energy collection and management systems, including raindrop energy, wind power generation, and solar energy, which will contribute to energy conservation and cost control in the next generation of smart buildings. |
| first_indexed | 2024-04-24T18:28:31Z |
| format | Article |
| id | doaj.art-e920b990a2064a6dacd36f0bd3d741f5 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-04-24T18:28:31Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-e920b990a2064a6dacd36f0bd3d741f52024-03-27T13:29:29ZengMDPI AGBuildings2075-53092024-03-0114376910.3390/buildings14030769Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective OperationQingbin Dai0Jingui Qian1Shun Li2Li Tao3VANYANG CONSTRUCTION GROUP Co., Ltd., Wenzhou 325006, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, ChinaSchool of Civil Engineering and Architecture, Wenzhou Polytechnic, Wenzhou 325035, ChinaNowadays, the rise of Internet of Things (IoT) devices is driving technological upgrades and transformations in the construction industry, the integration of IoT devices in buildings is crucial for both the buildings themselves and the intelligent cities. However, large-scale IoT devices increase energy consumption and bring higher operating costs to buildings. Therefore, harvesting the ambient cost-effective and clean energy sources is essential for the future development of intelligent buildings. In this work, we investigate the feasibility of integrating a typical triboelectric droplet energy harvester (DEH) into buildings. We demonstrate the energy harvesting capabilities of DEH on different sloped roof surfaces and complex curved building surfaces by simulating rainy weather with various rainfall intensities. The results indicate energy harvesting efficiency increases with larger tilt angles, which guides future smart architectural designs. This work is significant for the future integration of diversified, all-weather green energy collection and management systems, including raindrop energy, wind power generation, and solar energy, which will contribute to energy conservation and cost control in the next generation of smart buildings.https://www.mdpi.com/2075-5309/14/3/769intelligent buildinggreen energy harvestingcost-effectiveraindropstriboelectrification |
| spellingShingle | Qingbin Dai Jingui Qian Shun Li Li Tao Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation Buildings intelligent building green energy harvesting cost-effective raindrops triboelectrification |
| title | Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation |
| title_full | Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation |
| title_fullStr | Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation |
| title_full_unstemmed | Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation |
| title_short | Green Energy Harvesting and Management Systems in Intelligent Buildings for Cost-Effective Operation |
| title_sort | green energy harvesting and management systems in intelligent buildings for cost effective operation |
| topic | intelligent building green energy harvesting cost-effective raindrops triboelectrification |
| url | https://www.mdpi.com/2075-5309/14/3/769 |
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