Evaluation of Smart Energy Management Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability

At present, energy has become an indispensable part of our lives. While we are enjoying the benefits energy bring to us, we are facing challenges, such as ever-increasing energy consumption, limited energy resources, lack of robustness and resilience in response to unexpected disturbances, safety and security issues, costly impact on the environment and human health, and energy inequality. The transformation into the smart energy management system further aggravates these problems and introduces new challenges, such as the costly construction of smart facilities. In this paper, we evaluate, from the UV perspective, the challenges of the energy system and the current status of the smart energy management system based on the framework of closed feedback control loop: data acquisition, communication, decision making, and action. We propose that an effective smart energy management system should take into consideration of the interaction between the smart energy management system and other seven smart city subsystems: smart home, smart medicine and healthcare, intelligent transportation, urban planning and crowd management, smart city infrastructure, smart environ-mental protection management, smart response system for city emergency, and smart humanity, and also study how the smart energy management system would be affected by four major impacting factors of smart cities: information flow, material cycle, lifestyle, and community. This systematic study enables us to improve preparedness, coordination & adaptiveness, safety, robustness & resilience of current smart energy management system and propose a UV-oriented, integrated, resilient, inclusive, and sustainable development framework design to address current imminent challenges and to improve the energy efficiency and reduce energy consumption through hybrid, integrative & needed-based data acquisition, proactive communication and information sharing, adaptive decision making based on hierarchical knowledge level across spatiotemporal levels, human-involved and hybrid action.