Optimal scheduling of real multi‐carrier energy storage system with hydrogen‐based vehicle applications

Abstract

In response to the challenge of improving energy utilising efficiency, multi-carrier energy storage systems, composed of electrical power networks, natural gas networks, heating networks, and other energy networks, are attracting more attention and developing rapidly in recent years. Traditionally, different energy infrastructures are commonly planned and operated independently, which results in less efficient energy usage and resource wasting. Through integrating as multi-carrier energy storage system, different energy infrastructures can be coupled and optimised as one unit. Here, an optimal scheduling for a real multi-carrier energy storage system with hydrogen-based vehicle applications is proposed from an economic point of view. Simulation results suggest the proposed optimal scheduling can help quantify the daily operation cost and achieve considerably operation cost saving by reasonably arranging and utilising all the components in the system.

Low‐carbon operation of a multi‐energy system with hydrogen‐based vehicle applications

“…For the heating power balance, the boiler, CHP, and EHP meet the demand, as shown in Equation (23), and the corresponding power flows are indicated by red arrows in Figure 2.…”

“…[19,20] adopted an integrated power and thermal energy system, including a detailed cogeneration model to efficiently accommodate more wind power. Mixed integer linear programming (MILP) model have been proposed to solve the optimal scheduling of MES operation in [21][22][23][24][25]. In [26,27], evolutionary algorithm-based methods were proposed to solve the optimal scheduling and management of MES considering non-linear system characteristics.…”

Synthesis of rGO supported Cu@FeCo catalyst and catalytic hydrolysis of ammonia borane

“…Hydrogen is considered as an outstanding alternative to meet the growing requirements for clean power in vehicle application. [1][2][3][4] Ammonia borane (AB) is one of the most prospective materials for hydrogen storage owning to the high hydrogen content (19.6%) and its stability in aqueous solutions. [5][6][7] AB hydrolysis reaction equation is expressed as below.…”

An Adaptive Random Forest Model for Predicting Demands and Solar Power of a Real Integrated Energy System

“…Traditionally, different energy infrastructures in an energy system are usually scheduled and managed independently, resulting in lower energy use efficiency and waste of resources [4]. Through integration as an MES where multiple energy carriers can be converted, adjusted, and stored to meet energy demands, different energy infrastructures can be scheduled and managed as one unit [5].…”