Research On Biomass Integrated Energy System Energy Based On Organic Rankine Cycle

With the progress and development of human society,energy consumption continues to grow,and the greenhouse effect caused by high-carbon energy has become increasingly prominent.At present,the large-scale development of renewable low-carbon energy such as material energy and solar energy and the improvement of energy efficiency have become the focus of attention.Integrated Energy System(IES)has become the most efficient and direct primary choice for improving energy efficiency and achieving low-carbon goals.The IES system realizes the cascade utilization and coordination and complementation of energy through the planning and optimization of the production,conversion,transmission,and consumption processes of various types of energy.The configuration and operation strategy of the IES system are the key factors affecting the comprehensive benefits of the system.Based on the comprehensive energy demand of the towns and villages in the northeast alpine region,this paper studies the planning and optimized operation of the integrated energy system coupled with biomass energy.First,based on the comprehensive energy demand of the northeastern rural township area with a maximum load of 10 MW heating load,6 MW electric load,and2.5 MW cooling load,the internal multi-energy flow coupling characteristics of the system are explored,and a typical regional integrated energy system physical model is established;The energy supply characteristics of the system have constructed biomass energy cogeneration modules based on Organic Rankine Cycle(ORC),natural gas-based cogeneration modules,photovoltaic modules,refrigeration equipment,heating equipment and energy storage equipment Mathematical model.Based on equipment modeling,a comprehensive energy system benefit evaluation index was established from three aspects: environmental protection,economy and energy efficiency.Based on the established model and comprehensive indicators,research on multi-objective planning and design and operation optimization is carried out.Secondly,for multi-objective planning and design,the improved particle swarm algorithm based on simulated annealing method is used to obtain the Pareto frontier solution set,and the system optimization configuration scheme is selected through the multi-attribute decision-making method.The main equipment of the optimized configuration plan includes a 10 t/h biomass steam boiler,a 2000 k W gas turbine,a 1MW solar photovoltaic,a 1.65 k W electric refrigerator,a 1.42 k W absorption chiller,and a 710 k Wh heat storage tank.Finally,for the optimized operation of the IES system,based on the equipment type and capacity planned by the system,a day-ahead operation optimization model that comprehensively considers economic and environmental indicators is constructed.The system is optimized hourly to deal with issues such as energy balance constraints,energy storage device state judgment,and complex coupling relationships.Through analysis and research.The hourly output of each equipment of the system during the optimized operation of the heating period and the cooling period verifies the feasibility of the model and optimization method.In view of the energy demand during the heating and cooling periods,the optimized operation results show that the daily operating costs including the cost of carbon emissions are 75,699.65 yuan and 45,306.16 yuan,respectively.