Research On The Optimal Operation Of Smart Agricultural Parks Considering The Synergy Of Low-carbon Ecology And Biomass Energy

The smart agricultural park is a development model with a high degree of intensification and high energy demand in modern agriculture.The research and application of emission reduction and carbon reduction technologies in the park is the main way to realize the low-carbon and green development of modern agriculture.At present,China’s smart agriculture is in the process of large-scale development.In the research on technologies and strategies for low-carbon operation of smart agricultural parks,it is mainly carried out from two aspects:low-carbon transformation of energy-consuming equipment and optimization of energy structure,but there is no sufficient considering the load regulation of the park and the utilization of biomass energy to realize the low-carbon operation of the smart agricultural park.In order to realize the low-carbon economic operation of the smart agricultural park,this paper mainly studies the load regulation and biomass energy utilization of the smart agricultural park.(1)Build a mathematical model of the multi-energy coupling system in the smart agricultural park.First,the analysis is carried out from four perspectives:the composition structure of the smart agricultural park,the adjustable load characteristics of the park,the utilization mode of biomass resources in the park,and the energy supply type of the park.Then,through the above analysis,the operation model and basic parameters of the smart agricultural park based on the adjustable load and the utilization of biomass energy in the park are determined.Finally,the energy supply and consumption structure of multi-energy coupling in the smart agricultural park is sorted out,the carbon emission accounting boundary of the smart agricultural park is established,and the carbon emission accounting method is proposed.The carbon emission accounting method recommended in this paper can fully capture the carbon emissions formed by the operation of the park.(2)Establish an operating model of a smart agricultural park that takes into account carbon emission penalties.Firstly,the carbon quota and stepwise carbon emission penalty of the park are taken as the main research points,and the optimization model is established with the optimization goals of maximizing the operating economic benefits of the park and minimizing the environmental governance cost of the park.Then,the NSGA-Ⅲ algorithm is used to solve the operation model of the smart agricultural park considering the carbon emission penalty.Finally,it is verified by example simulation that considering the carbon emission penalty of the park can significantly improve the operating economy of the park and reduce the carbon emission of the park.(3)Construct a low-carbon operation strategy for smart agricultural parks that considers the synergy between low-carbon ecology and biomass energy.First,analyze the load characteristics of the smart agricultural park,and set the park’s load regulation strategy with the largest photovoltaic consumption and the smallest carbon emissions as the regulation goals.Then,sort out the biomass resources in the smart agricultural park,establish energy extraction methods based on its resource characteristics,and establish related mathematical models.Finally,comprehensively consider load regulation and park biomass utilization,construct the strategy and system architecture of low-carbon operation of the park,establish the evaluation model of low-carbon operation of the park,and lay the foundation for building a low-carbon operation optimization model of smart agricultural parks.(4)Establish an optimal operation model for smart agricultural parks that considers the coordination of load regulation and biomass energy.Firstly,based on the low-carbon operation strategy of the smart agricultural park built in this paper,an optimal operation model of the smart agricultural park is established considering the coordination of load regulation and biomass energy.Then,based on the operation data of an agricultural park in Gansu Province,a multi-scenario simulation model considering the influence of seasons was constructed.Finally,the NSGA-Ⅲ algorithm is used to solve the established optimization model.The simulation results show that the low-carbon operation strategy of the smart agricultural park constructed in this paper can effectively reduce the park’s carbon emissions and environmental governance costs,and can significantly improve the park’s operating economy.