The rapid growth of urban development in recent years required reliable as well as realistic smart solutions to transport, system infrastructure, environmental conditions, and quality of life in smart cities. Furthermore, several innovative and comprehensive applications for smart cities are accessible through the Internet of Things that plays a significant role in reducing the utilization of energy requirements and other environmental effects. Based on the demands in reducing energy consumption, this article designed and developed a combined heat and power design based on the renewable energy system and energy storage system, which helps to minimize the utilization of energy consumption in smart cities. In these concerns, a standardized heuristic renewable demand energy optimization in the smart city (HRDEOSC) architecture is presented, where the smart area domain is distributed into a wide area network. In comparison with the overall domestic energy consumption of electricity and transport, the energy demand for desalination processes is very small and it has been achieved by HRDEOSC. Here, the designed computational model demonstrate that the developed system contributes significantly to our challenges and proved to be an economical approach for the development of the smart structural design which helps to reduce the energy consumption of smart cities.

中文翻译：

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智慧城市中使用启发式可再生能源需求优化的高效能源消耗系统

近年来城市发展的快速增长需要可靠且现实的智能解决方案来解决智慧城市的交通、系统基础设施、环境条件和生活质量。此外，通过物联网可以访问智能城市的一些创新和综合应用程序，这在减少能源需求和其他环境影响方面发挥着重要作用。基于降低能耗的需求，本文设计并开发了基于可再生能源系统和储能系统的热电联产设计，有助于智慧城市的能源消耗最小化。在这些问题中，提出了智能城市 (HRDEOSC) 架构中的标准化启发式可再生能源需求优化，其中智能区域域分布在广域网中。与国内电力和交通的整体能源消耗相比，海水淡化过程的能源需求非常小，HRDEOSC已经实现了这一目标。在这里，设计的计算模型表明，开发的系统对我们的挑战做出了重大贡献，并被证明是开发智能结构设计的一种经济方法，有助于降低智能城市的能源消耗。