We propose an optimal stochastic scheduling strategy for a multi-vector energy complex(MEC),considering a fullblown model of the power-to-biomethane(Pt M)process.Unlike conventional optimization that uses a simple eff...We propose an optimal stochastic scheduling strategy for a multi-vector energy complex(MEC),considering a fullblown model of the power-to-biomethane(Pt M)process.Unlike conventional optimization that uses a simple efficiency coefficient to coarsely model energy conversion between electricity and biomethane,a detailed Pt M model is introduced to emphasize the reactor kinetics and chemical equilibria of methanation.This model crystallizes the interactions between the Pt M process and MEC flexibility,allowing to adjust the operating condition of the methanation reactor for optimal MEC operation in stochastic scenarios.Temperature optimization and flowsheet design of the Pt M process increase the average selectivity of methane(i.e.,ratio between net biomethane production and hydrogen consumption)up to 83.7%in the proposed synthesis flowsheet.Simulation results can provide information and predictions to operators about the optimal operating conditions of a Pt M unit while improving the MEC flexibility.展开更多
目的提升健康食品包装技术前瞻研判的精度和深度,厘清该领域创新演进路径。方法融合论文、专利与社交媒体多数据源,以双向编码器表示的主题建模(Bidirectional encoder representations from transformers for topic modeling,BERTopic...目的提升健康食品包装技术前瞻研判的精度和深度,厘清该领域创新演进路径。方法融合论文、专利与社交媒体多数据源,以双向编码器表示的主题建模(Bidirectional encoder representations from transformers for topic modeling,BERTopic)挖掘技术主题,通过设计“影响力、增长性、连贯性、创新性、不确定性/模糊性”5项指标体系筛选前沿主题,再结合社交媒体情感计算检验社会接受度,最后利用支持向量回归(Support vector regression,SVR)预测新兴技术未来发展趋势。结果生物基可降解材料、植物源抗菌涂层、RFID营养追踪、多光谱新鲜度传感和微胶囊营养靶向递送等5项技术被识别为新兴技术方向,表现出高成长性与市场渗透潜力。结论研究基于多源数据融合,提出将市场需求纳入技术识别研究,并预测新兴技术发展,为健康食品包装领域研发布局与战略决策提供了新的研究视角。展开更多
基金supported by the National Key R&D Program of China“Large-scale energy storage systems based on high temperature solid oxide electrolysis cells and biogas methanation technologies”(No.2021YFE0191200)。
文摘We propose an optimal stochastic scheduling strategy for a multi-vector energy complex(MEC),considering a fullblown model of the power-to-biomethane(Pt M)process.Unlike conventional optimization that uses a simple efficiency coefficient to coarsely model energy conversion between electricity and biomethane,a detailed Pt M model is introduced to emphasize the reactor kinetics and chemical equilibria of methanation.This model crystallizes the interactions between the Pt M process and MEC flexibility,allowing to adjust the operating condition of the methanation reactor for optimal MEC operation in stochastic scenarios.Temperature optimization and flowsheet design of the Pt M process increase the average selectivity of methane(i.e.,ratio between net biomethane production and hydrogen consumption)up to 83.7%in the proposed synthesis flowsheet.Simulation results can provide information and predictions to operators about the optimal operating conditions of a Pt M unit while improving the MEC flexibility.
文摘目的提升健康食品包装技术前瞻研判的精度和深度,厘清该领域创新演进路径。方法融合论文、专利与社交媒体多数据源,以双向编码器表示的主题建模(Bidirectional encoder representations from transformers for topic modeling,BERTopic)挖掘技术主题,通过设计“影响力、增长性、连贯性、创新性、不确定性/模糊性”5项指标体系筛选前沿主题,再结合社交媒体情感计算检验社会接受度,最后利用支持向量回归(Support vector regression,SVR)预测新兴技术未来发展趋势。结果生物基可降解材料、植物源抗菌涂层、RFID营养追踪、多光谱新鲜度传感和微胶囊营养靶向递送等5项技术被识别为新兴技术方向,表现出高成长性与市场渗透潜力。结论研究基于多源数据融合,提出将市场需求纳入技术识别研究,并预测新兴技术发展,为健康食品包装领域研发布局与战略决策提供了新的研究视角。
