| Title | Sustainable Smart City Building Construction Methods |
|---|---|
| ID_Doc | 33782 |
| Authors | Zhuang, HR; Zhang, J; Sivaparthipan, CB; Muthu, BA |
| Title | Sustainable Smart City Building Construction Methods |
| Year | 2020 |
| Published | Sustainability, 12.0, 12 |
| Abstract | In a global world, the human population invariably increases while resources gradually decrease as cities and towns constantly consume resources to satisfy their needs and requirements. At this point, it is very necessary to focus on making these urban areas more sustainable and greener. The need for some advanced and automated systems improves the situation, which leads to the innovation of smart cities. Smart city is the concept that helps in developing sustainable cities via optimized resource utilization methods. In smart city development, various sensing technologies can be used that can sense and utilize natural resources in better ways, like storing rainwater to use afterward, intelligent and smart control system, smart infrastructure monitoring system, smart healthcare system, smart transportation system, and smart system for energy consumption and generation by various facilities. To make the city smart and sustainable with efficient energy consumption, we propose renewable solar and wind energy-enabled hybrid heating and cooling HVAC-DHW (heating, ventilation, and air conditioning-Domestic Hot Water) system in which energy consumption is evaluated using optimized NARX-ANN and fuzzy controller based on user needs, dynamic behavior of the atmospheric environment, and spatial distribution of energy supply. To achieve the proposed goal, first, via sensor, heating and cooling effect of environment and building is sensed and these sensed inputs are then fed into deep-learning-based NARX-ANN that forecast internal building temperature. This forecasted temperature is fed into a fuzzy controller for optimizing output based on user demand. This processed information leads to energy distribution based on their requirement using a smart energy sensing system. Based on the experimentation result and performance analysis, it was found that the proposed system is more robust and has a high control response in comparison to the existing systems with minimum energy consumption. The analytical results support the feasibility of the proposed framework architecture to facilitate energy conserving in smart city buildings. |
| https://www.mdpi.com/2071-1050/12/12/4947/pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
37989
|
Ting, L Simulation of low energy building thermal energy cycle in IoT smart city planning based on environmental sensors and deep learning(2024) | |
| 38410
|
Selvaraj, R; Kuthadi, VM; Baskar, S Smart building energy management and monitoring system based on artificial intelligence in smart city(2023) | |
| 39104
|
Garlik, B Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things(2022)Applied Sciences-Basel, 12, 7 | |
| 36765
|
Shu, M; Wu, SZ; Wu, T; Qiao, ZL; Wang, N; Xu, F; Shanthini, A; Muthu, BA Efficient energy consumption system using heuristic renewable demand energy optimization in smart city(2022)Computational Intelligence, 38, 3 | |
| 39221
|
Shafiq, M; Bhavani, NPG; Ramesh, JVN; Veeresha, RK; Talasila, V; Alfurhood, BS Thermal modeling and Machine learning for optimizing heat transfer in smart city infrastructure balancing energy efficiency and Climate Impact(2024) | |
| 41650
|
Ilhan, I; Karaköse, M; Yavas, M Design and Simulation of Intelligent Central Heating System for Smart Buildings in Smart City(2019) | |
| 32128
|
Tseng, KH; Chung, MY; Chen, LH; Chou, LA A study of green roof and impact on the temperature of buildings using integrated IoT system(2022)Scientific Reports, 12, 1 | |
| 37363
|
Sharma, S; Dua, A; Singh, M; Kumar, N; Prakash, S Fuzzy rough set based energy management system for self-sustainable smart city(2018) | |
| 36746
|
Hoang, AT; Pham, VV; Nguyen, XP Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process(2021) | |
| 37234
|
Jung, DK; Lee, D; Park, S Energy Operation Management for Smart City using 3D Building Energy Information Modeling(2014)International Journal Of Precision Engineering And Manufacturing, 15.0, 8 |