Applications of energy semantic networks

Abstract This chapter introduces energy semantic networks (ESNs) and their applications for smart energy grids. The chapter presents methods for generating ESNs, and it considers how designers use ESNs to synthesize and evaluate possible energy supply and conservation scenarios. The ESN is a heterogeneous collection of different classes of energy nodes, generators, supply sources, and storage facilities, and it represents loads in a fixable architecture in order to effectively manage potential scenarios. For infrastructure, transportation, and other applications, the ESN improves energy management, supports energy supply, and produces business intelligence. In addition, it significantly reduces the computational complexity associated with simulation and optimization activities. The ESN can systematically generate potential energy supply scenarios by mapping the supply to load components, given different technologies, including storage, conversion, and gas-power systems. The chapter discusses the practical implementation of ESNs in smart-energy-grid engineering activities, including design, planning, scheduling, operation, and control optimization. A case study demonstrates the use of an ESN to manage energy in a residential home, with intelligent algorithms employed to synthesize energy scenarios and generate ESN structures. The chapter also considers simulation strategies for evaluating and optimizing energy supply scenarios via an ESN.