农业产业园区规划是实现农业产业园区用能低碳灵活的基础,而生物质资源高值化利用和农业柔性负荷对于促进农业产业园区的合理规划十分重要.因此,该文提出了一种考虑生物质能和农业柔性负荷的农业产业园区综合能源系统(integrated energy system,IES)规划方法.首先,为实现秸秆高值化利用,引入热解气化炉生产生物质气和生物炭,并通过高厌氧发酵粪污制沼,实现生物质的充分利用.其次,引入农作物日积温作为确定种植业热负荷参与需求响应量的衡量指标,并结合农业负荷特性建立农业柔性负荷模型.然后,以园区投资运行总成本最小为优化目标,考虑设备投资约束和满足农业生长需求的农业用能约束及生物质能成本等运行约束,建立农业产业园区规划模型.随后,为减小天气概率分布不确定性对农业生产和园区供能的影响,基于历史天气数据生成盒式不确定性集合,构建农业产业园区IES分布鲁棒优化模型.最后,通过算例结果分析得出,该文所提的农业产业园区IES规划方法可以显著减少碳排放和系统总成本,并充分利用生物质资源.
Integrated Energy System Planning for Agricultural Industrial Parks Considering Biomass Energy and Agricultural Flexible Load
The planning of agricultural industrial parks is the basis of realizing the low carbon and flexible energy use in the agricultural industrial parks,and the high value utilization of biomass resources and agricultural flexible load are very important to promote the rational planning of the agricultural industrial parks.Therefore,this paper proposes an integrated energy system(IES)planning for agricultural industrial parks considering the biomass energy and agricultural flexible load.Firstly,in order to realize the high-value utilization of the straw,the pyrolysis gasifier is introduced to produce biomass gas and biochar.The biomass is fully utilized through the high-anaerobic fermentation of the fecal sludge bog.Secondly,the accumulated daily temperature of the crops is introduced as the index to determine the participation of the planting heat load in demand response,and the agricultural flexible load model is established based on the characteristics of agricultural load.Then,the planning model of the agricultural industrial parks is established with the minimum total costs of the park investment as the optimization objective,considering the constraints of the equipment investment and the operational constraints including the agricultural growth demand and the agricultural energy and biomass energy costs.Then,in order to reduce the impact of the weather probability distribution uncertainty on the agricultural production and energy supply in the agricultural parks,a box uncertainty set is generated based on the historical weather data,and the IES distributionally robust optimization model is constructed for the agricultural industrial parks.Finally,through the analysis of the numerical results,the IES planning method proposed in this paper is able to significantly reduce the carbon emissions and the total system costs,and make full use of the biomass resources at the same time.
biomass energyintegrated energy systemagricultural industrial parkagricultural flexible loaddistributionally robust
国家科技期刊平台
NSTL
万方数据
维普
