Optimal Scheduling of Distributed Hydrogen-based Multi-Energy Systems for Building Energy Cost and Carbon Emission Reduction

Building operation is closely related to the energy and environmental issues. On the one hand, buildings are responsible for 40% of social energy consumption. Due to the large demand and its flexibility, buildings have a significant energy saving potential. On the other hand, building operation accounts for 35% of total carbon emission. Therefore, from the perspective of reducing energy consumption and improving the environment, the optimization of building energy systems has attracted more attention. In this paper, we develop an optimal scheduling of distributed hydrogen-based multi-energy (DHME) system for building energy cost saving and carbon emission reduction. In the optimization problem, based on emission trading schemes, carbon emission reduction is formulated by economical benefit and thus integrated into the objective function. By solving the optimization problem, an optimal scheduling strategy of the DHME system can be obtained with a tradeoff between energy cost and carbon emission n reduction. The effectiveness of the developed method is demonstrated using numerical case studies.