| Title | An evaluation model for smart grids in support of smart cities based on the Hierarchy of Needs Theory |
|---|---|
| ID_Doc | 41231 |
| Authors | Lin, HY; Wang, W; Zou, YJ; Chen, HY |
| Title | An evaluation model for smart grids in support of smart cities based on the Hierarchy of Needs Theory |
| Year | 2023 |
| Published | Global Energy Interconnection-China, 6, 5 |
| Abstract | Smart cities depend highly on an intelligent electrical networks to provide a reliable, safe, and clean power supplies. A smart grid achieves such aforementioned power supply by ensuring resilient energy delivery, which presents opportunities to improve the cost-effectiveness of power supply and minimize environmental impacts. A systematic evaluation of the comprehensive benefits brought by smart grid to smart cities can provide necessary theoretical fundamentals for urban planning and construction towards a sustainable energy future. However, most of the present methods of assessing smart cities do not fully take into account the benefits expected from the smart grid. To comprehensively evaluate the development levels of smart cities while revealing the supporting roles of smart grids, this article proposes a model of smart city development needs from the perspective of residents' needs based on Maslow's Hierarchy of Needs theory, which serves the primary purpose of building a smart city. By classifying and reintegrating the needs, an evaluation index system of smart grids supporting smart cities was further constructed. A case analysis concluded that smart grids, as an essential foundation and objective requirement for smart cities, are important in promoting scientific urban management, intelligent infrastructure, refined public services, efficient energy utilization, and industrial development and modernization. Further optimization suggestions were given to the city analyzed in the case include strengthening urban management and infrastructure constructions, such as electric vehicle charging facilities and wireless coverage. |
| https://doi.org/10.1016/j.gloei.2023.10.009 |
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