This paper proposes an intelligent decision support framework that integrates Geographic Information System(GIS)and Building Information Modeling(BIM)to optimize supply chain operation in smart building design.This fr...This paper proposes an intelligent decision support framework that integrates Geographic Information System(GIS)and Building Information Modeling(BIM)to optimize supply chain operation in smart building design.This framework uses intelligent algorithms to synchronously balance procurement paths,supplier selection,and construction procedures,thereby minimizing embodied carbon emissions and full life cycle costs.Taking a mid-level office building as an example,under the principle of balancing environmental and economic objectives,this method reduces embodied carbon by 18%and lowers life cycle costs by 12%compared with the traditional plan.Scenario simulation further reveals a controllable balance of carbon costs:up to 25%carbon emission reduction(with a 9%cost increase),or 18%cost savings(with only a 4%carbon emission increase).Stability tests show that when price and emission parameters are perturbed by±10%,the fluctuation range of the optimization scheme remains at±2%.The achievements demonstrate the potential of AI-driven spatial analysis technology to guide sustainable procurement,logistics optimization,and material selection.Subsequent research will integrate real-time data streams with renewable energy factors to support dynamic reoptimization.展开更多
Reusable launch vehicle is an important way to realize fast,cheap and reliable space transportation.A combined cycle engine system provides a more efficient and flexible form of power.The investigation on the research...Reusable launch vehicle is an important way to realize fast,cheap and reliable space transportation.A combined cycle engine system provides a more efficient and flexible form of power.The investigation on the research status of the combined cycle engine technology,including basic principle,research programs and classification of structure is firstly discussed in this paper.Then the bilevel hierarchical and integrated parameters/trajectory overall optimization technologies are applied to improve the efficiency and effectiveness of overall vehicle design.Simulations are implemented to compare and analyze the effectiveness and adaptability of the two algorithms,in order to provide the technical reserves and beneficial references for further research on combined cycle engine reusable launch vehicles.展开更多
深度挖掘柔性资源的响应潜力,可以提升园区综合能源系统(Park Integrated Energy System,PIES)运行的经济性、灵活性与低碳性。为此,文章提出一种考虑供需灵活响应的PIES优化调度策略。首先,在分析设备动态能效特性的基础上,引入有机闪...深度挖掘柔性资源的响应潜力,可以提升园区综合能源系统(Park Integrated Energy System,PIES)运行的经济性、灵活性与低碳性。为此,文章提出一种考虑供需灵活响应的PIES优化调度策略。首先,在分析设备动态能效特性的基础上,引入有机闪蒸循环和电热锅炉建立热电联产(Combined Heat and Power,CHP)机组多模态且变工况运行的供给侧灵活响应模型;然后,基于多级阶梯激励补偿机制,在负荷侧建立削减、替代与转移柔性负荷差异化配比的电-冷-热多元需求响应模型;最后,以日运行成本最小为优化目标,构建PIES供需灵活响应的协调优化模型。仿真分析表明,文章所提策略不仅可以提高调度模型的准确度,还可以在促进风电消纳的同时,实现系统经济性、低碳性,供能可靠性、满意度的多维度优化平衡。展开更多
针对可再生能源和负荷的不确定性制约综合能源系统(integrated energy systems,IES)实现零碳目标的问题,提出了一种考虑不确定性的IES零碳容量规划和多时间尺度优化方法。以新疆某含电、热、冷负荷需求的IES为例,首先,利用多元联合分布...针对可再生能源和负荷的不确定性制约综合能源系统(integrated energy systems,IES)实现零碳目标的问题,提出了一种考虑不确定性的IES零碳容量规划和多时间尺度优化方法。以新疆某含电、热、冷负荷需求的IES为例,首先,利用多元联合分布并结合蒙特卡洛方法模拟可再生能源和负荷的不确定性及相关性。然后,提出利用氢储能电解水过程产生的碱性溶液吸收二氧化碳的IES全生命周期零碳容量规划方法。最后,构建了IES规划周期内的零碳排放调度框架,以协调IES在长时间规划周期和短时间调度周期的零碳优化。并基于该框架设计随机-滚动两阶段优化调度模型,以应对可再生能源和负荷的不确定性,最小化IES综合运行成本。仿真分析结果验证了所提方法在促进可再生能源消纳、减少一次能源消耗、实现零碳排放和经济运行方面的有效性。展开更多
This paper develops a parallel hybrid electric vehicle(PHEV)propor-tional integral controller with driving cycle.To improve fuel efficiency and reduce hazardous emissions in hybrid electric vehicles(HEVs)combine an ele...This paper develops a parallel hybrid electric vehicle(PHEV)propor-tional integral controller with driving cycle.To improve fuel efficiency and reduce hazardous emissions in hybrid electric vehicles(HEVs)combine an electric motor(EM),a battery and an internal combustion engine(ICE).The electric motor assists the engine when accelerating,driving longer highways or climbing hills.This enables the use of a smaller,more efficient engine.It also makes use of the concept of regenerative braking to maximize energy efficiency.In a Hybrid Electric Vehicle(HEV),energy dissipated while braking is utilized to charge the battery.The proportional integral controller was used in this paper to analyze engine,motor performance and the New European Driving Cycle(NEDC)was used in the vehicle driving test using Matlab/Simulink.The proportional integral controllers were designed to track the desired vehicle speed and manage the vehi-cle’s energyflow.The Sea Lion Optimization(SLnO)methods were created to reduce fuel consumption in a parallel hybrid electric vehicle and the results were obtained for the New European Driving Cycle.展开更多
为持续推进国家“双碳”目标,优化储能电池的寿命和经济性,通过建立计及温度和循环次数的电池寿命模型,并结合开路电压测试、混合脉冲功率特性(hybrid pulse power characterization,HPPC)实验、充放电循环实验和日历老化实验等方法,研...为持续推进国家“双碳”目标,优化储能电池的寿命和经济性,通过建立计及温度和循环次数的电池寿命模型,并结合开路电压测试、混合脉冲功率特性(hybrid pulse power characterization,HPPC)实验、充放电循环实验和日历老化实验等方法,研究了储能电池的寿命特性及经济性优化策略。结果表明,采用全寿命周期经济等值为上层优化目标、系统日区间最优运行策略为下层优化目标的双层优化配置模型,可有效提升储能系统的经济性。在内蒙古自治区某牧区风储微电网的算例分析中,优化后风机装机功率由60 kW调整为30 kW,储能电池容量优化为1103 kW·h,储能系统总运行成本减少5.02×10^(5)元,并揭示了温度和循环次数对系统运行成本的影响规律。可见,该优化方法可在确保系统稳定运行的前提下,提升储能系统的经济性与可推广性,为储能技术的工程应用提供理论支撑。展开更多
为贯彻落实“双碳”目标,推动能源互联互通与多能互补,开展综合能源系统(Integrated Energy Systems,IES)的低碳配置规划具有重要意义。通过分析园区级IES的设备运行特性和能量耦合关系,对不同品牌机组参数进行差异化设置,并进一步考虑...为贯彻落实“双碳”目标,推动能源互联互通与多能互补,开展综合能源系统(Integrated Energy Systems,IES)的低碳配置规划具有重要意义。通过分析园区级IES的设备运行特性和能量耦合关系,对不同品牌机组参数进行差异化设置,并进一步考虑负荷波动性影响,构建涵盖计及系统生产、运行、维护和退役阶段碳排放成本的IES数学模型。在此基础上,建立以全生命周期碳排放和系统经济运行总成本最小化为优化目标的模型,并开发基于自适应t分布变异的混沌博弈优化算法进行IES优化配置。以某园区为例,结合肘部法和轮廓系数法对K-means聚类法进行改进,并采用拉丁超立方抽样生成典型风光场景以验证模型有效性。通过与其他算法的优化结果对比,验证了所提算法的优越性。优化结果表明:在考虑负荷波动性时,系统装机容量增加4000 kW,总成本增加1142万元;采用全生命周期碳排放模型时,相较于仅考虑运行阶段碳排放的模型碳排放成本降低10.69%,相较于仅考虑经济成本的模型碳排放成本降低18.67%。展开更多
文摘This paper proposes an intelligent decision support framework that integrates Geographic Information System(GIS)and Building Information Modeling(BIM)to optimize supply chain operation in smart building design.This framework uses intelligent algorithms to synchronously balance procurement paths,supplier selection,and construction procedures,thereby minimizing embodied carbon emissions and full life cycle costs.Taking a mid-level office building as an example,under the principle of balancing environmental and economic objectives,this method reduces embodied carbon by 18%and lowers life cycle costs by 12%compared with the traditional plan.Scenario simulation further reveals a controllable balance of carbon costs:up to 25%carbon emission reduction(with a 9%cost increase),or 18%cost savings(with only a 4%carbon emission increase).Stability tests show that when price and emission parameters are perturbed by±10%,the fluctuation range of the optimization scheme remains at±2%.The achievements demonstrate the potential of AI-driven spatial analysis technology to guide sustainable procurement,logistics optimization,and material selection.Subsequent research will integrate real-time data streams with renewable energy factors to support dynamic reoptimization.
文摘Reusable launch vehicle is an important way to realize fast,cheap and reliable space transportation.A combined cycle engine system provides a more efficient and flexible form of power.The investigation on the research status of the combined cycle engine technology,including basic principle,research programs and classification of structure is firstly discussed in this paper.Then the bilevel hierarchical and integrated parameters/trajectory overall optimization technologies are applied to improve the efficiency and effectiveness of overall vehicle design.Simulations are implemented to compare and analyze the effectiveness and adaptability of the two algorithms,in order to provide the technical reserves and beneficial references for further research on combined cycle engine reusable launch vehicles.
文摘深度挖掘柔性资源的响应潜力,可以提升园区综合能源系统(Park Integrated Energy System,PIES)运行的经济性、灵活性与低碳性。为此,文章提出一种考虑供需灵活响应的PIES优化调度策略。首先,在分析设备动态能效特性的基础上,引入有机闪蒸循环和电热锅炉建立热电联产(Combined Heat and Power,CHP)机组多模态且变工况运行的供给侧灵活响应模型;然后,基于多级阶梯激励补偿机制,在负荷侧建立削减、替代与转移柔性负荷差异化配比的电-冷-热多元需求响应模型;最后,以日运行成本最小为优化目标,构建PIES供需灵活响应的协调优化模型。仿真分析表明,文章所提策略不仅可以提高调度模型的准确度,还可以在促进风电消纳的同时,实现系统经济性、低碳性,供能可靠性、满意度的多维度优化平衡。
文摘针对可再生能源和负荷的不确定性制约综合能源系统(integrated energy systems,IES)实现零碳目标的问题,提出了一种考虑不确定性的IES零碳容量规划和多时间尺度优化方法。以新疆某含电、热、冷负荷需求的IES为例,首先,利用多元联合分布并结合蒙特卡洛方法模拟可再生能源和负荷的不确定性及相关性。然后,提出利用氢储能电解水过程产生的碱性溶液吸收二氧化碳的IES全生命周期零碳容量规划方法。最后,构建了IES规划周期内的零碳排放调度框架,以协调IES在长时间规划周期和短时间调度周期的零碳优化。并基于该框架设计随机-滚动两阶段优化调度模型,以应对可再生能源和负荷的不确定性,最小化IES综合运行成本。仿真分析结果验证了所提方法在促进可再生能源消纳、减少一次能源消耗、实现零碳排放和经济运行方面的有效性。
文摘This paper develops a parallel hybrid electric vehicle(PHEV)propor-tional integral controller with driving cycle.To improve fuel efficiency and reduce hazardous emissions in hybrid electric vehicles(HEVs)combine an electric motor(EM),a battery and an internal combustion engine(ICE).The electric motor assists the engine when accelerating,driving longer highways or climbing hills.This enables the use of a smaller,more efficient engine.It also makes use of the concept of regenerative braking to maximize energy efficiency.In a Hybrid Electric Vehicle(HEV),energy dissipated while braking is utilized to charge the battery.The proportional integral controller was used in this paper to analyze engine,motor performance and the New European Driving Cycle(NEDC)was used in the vehicle driving test using Matlab/Simulink.The proportional integral controllers were designed to track the desired vehicle speed and manage the vehi-cle’s energyflow.The Sea Lion Optimization(SLnO)methods were created to reduce fuel consumption in a parallel hybrid electric vehicle and the results were obtained for the New European Driving Cycle.
文摘为贯彻落实“双碳”目标,推动能源互联互通与多能互补,开展综合能源系统(Integrated Energy Systems,IES)的低碳配置规划具有重要意义。通过分析园区级IES的设备运行特性和能量耦合关系,对不同品牌机组参数进行差异化设置,并进一步考虑负荷波动性影响,构建涵盖计及系统生产、运行、维护和退役阶段碳排放成本的IES数学模型。在此基础上,建立以全生命周期碳排放和系统经济运行总成本最小化为优化目标的模型,并开发基于自适应t分布变异的混沌博弈优化算法进行IES优化配置。以某园区为例,结合肘部法和轮廓系数法对K-means聚类法进行改进,并采用拉丁超立方抽样生成典型风光场景以验证模型有效性。通过与其他算法的优化结果对比,验证了所提算法的优越性。优化结果表明:在考虑负荷波动性时,系统装机容量增加4000 kW,总成本增加1142万元;采用全生命周期碳排放模型时,相较于仅考虑运行阶段碳排放的模型碳排放成本降低10.69%,相较于仅考虑经济成本的模型碳排放成本降低18.67%。
