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作 者:赵安军[1] 焦阳 于军琪[1] 陈一仁 Zhao Anjun;Jiao Yang;Yu Junqi;Chen Yiren(College of Building Services Science and Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China;State Power Investment Corporation Shaanxi New Energy Co.,Ltd.,Xi’an 710061,China)
机构地区:[1]西安建筑科技大学建筑设备科学与工程学院,西安710055 [2]国家电投集团陕西新能源有限公司,西安710061
出 处:《太阳能学报》2024年第7期369-378,共10页Acta Energiae Solaris Sinica
基 金:国家重点研发计划(2022YFC3802703-04);国家自然科学基金重点项目(62192750)。
摘 要:基于传统最大负荷原则设计的综合能源系统容量通常远大于建筑的实际用能需求,导致以户为单位的乡村综合能源系统设计缺乏针对性和适用性。该文通过现场调查和数值模拟的方法精细化乡村建筑的实际用能需求,基于农户用能行为制定4种用能策略。并构建考虑农户经济水平和零碳约束的综合能源系统设计优化模型,采用两阶段带精英策略的快速非支配排序遗传算法(Top-NSGA-II)进行多目标优化问题的求解,获得不同策略下的最佳设计方案。结果表明,与基于建筑全空间连续动态负荷的设计优化方案相比,基于分时分区用能需求的设计方案年总成本降低13.58%,系统购电比例降低7.89个百分点,实现全年净零碳排放。The capacity of integrated energy systems(IES)designed based on traditional maximum load design principles is far larger than the actual energy demand,resulting in the design capacity of household IES lack of targeting and applicability.Field investigations and numerical simulations are used to refine the energy demand of rural buildings.Determining 4 different temporal and spatial energy use strategies based on the usage behavior of rural residents.A rural IES design optimization model that includes the economic and net zero carbon constraints is constructed and solved by the Top-NSGA-Ⅱalgorithm.The optimal results for different strategies are obtained.Compared with the design based on full-time and full-space energy demand,the results show that design based on the temporal and spatial energy demand reduces annual total costs by 13.58%,external electricity ratio by 7.98 percentage points,and achieves net zero carbon emissions.
关 键 词:综合能源系统 多目标规划 农村地区 净零碳排放 分时分区用能需求 设计优化
分 类 号:TK01[动力工程及工程热物理]
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