Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK

In the quest to achieve home comfort with highest possible efficiency, there is an increasing interest in combined cooling, heating and power (CCHP) systems. These can be fuelled by natural gas potentially hydrogen enriched ultimately hydrogen. The optimised designs largely depend on energy dispatch algorithms that take into account aspects of economic environmental impacts as well system efficiency. This paper details a new algorithm optimise operation novel hybrid solid oxide fuel cell (SOFC)-solar CCHP residential system. proposed based multi-objective particle swarm optimization (MOPSO) grey relationship analysis (GRA) (named MOPSO-GRA) capability resolving objective issues within effectively avoiding local optimum problem. More specifically, incidences are first integrated MOPSO analyse degree closeness between non-ideal solutions ideal solution. Then, introduced give order maximise efficiency utilization while minimising capital cost, operating costs, maintenance costs emissions. Finally, validated design Ten cases studied evaluate technical, performance MOPSO-GRA when being applied SOFC-based under both grid-connected island modes. A comparison made conventional method structure, impact plug-in EV also evaluated. Based detailed cost emissions analysis, results indicate advantages, addition higher methodology structure. these observations leads promotion intelligent FC-based multi-energy technologies for use.