热电联供(Combined Heat and Power, CHP)型微网集成了多种分布式能源,能源利用率较高,具有光明的应用前景。科学合理的系统规划是CHP型微网经济、高效运行的基础。基于此提出考虑需求侧热、电协同响应的CHP型微网多目标规划方法,规划...热电联供(Combined Heat and Power, CHP)型微网集成了多种分布式能源,能源利用率较高,具有光明的应用前景。科学合理的系统规划是CHP型微网经济、高效运行的基础。基于此提出考虑需求侧热、电协同响应的CHP型微网多目标规划方法,规划目标兼顾经济指标和碳排放指标。需求侧热电协同响应模型基于建筑物和热水箱的热力学特性,同时考虑可转移电负荷的调度,从而建立基于需求侧协同响应的CHP型微网多目标混合整数线性规划模型。以居民区CHP型微网规划为例进行算例仿真,验证了方法的有效性。结果表明,应用需求侧热电协同响应可降低CHP型微网所需配置的燃气锅炉和储热罐容量,使系统综合成本明显降低。展开更多
Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Intege...Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming(MILP) optimization framework. The MILP formulation maximizes the Net Present Value(NPV) of the reserve when extracted with(i) open pit mining,(ii) underground mining, and(iii) concurrent open pit and underground mining. Comparatively, implementing open pit mining generates a higher NPV than underground mining. However considering the investment required for these mining options, underground mining generates a better return on investment than open pit mining. Also, in the concurrent open pit and underground mining scenario, the optimizer prefers extracting blocks using open pit mining. Although the underground mine could access ore sooner, the mining cost differential for open pit mining is more than compensated for by the discounting benefits associated with earlier underground mining.展开更多
Production schedules that provide optimal operating strategies while meeting practical,technical,and environmental constraints are an inseparable part of mining operations.Relying only on manual planning methods or co...Production schedules that provide optimal operating strategies while meeting practical,technical,and environmental constraints are an inseparable part of mining operations.Relying only on manual planning methods or computer software based on heuristic algorithms will lead to mine schedules that are not the optimal global solution.Mathematical mine planning models have been proved to be very effective in supporting decisions on sequencing the extraction of material in mines.The objective of this paper is to develop a practical optimization framework for caving operations’production scheduling.To overcome the size problem of mathematical programming models and to generate a robust practical near-optimal schedule,a multi-step method for long-term production scheduling of block caving is presented.A mixed-integer linear programming(MILP)formulation is used for each step.The formulations are developed,implemented,and verifed in the TOMLAB/CPLEX environment.The production scheduler aims to maximize the net present value of the mining operation while the mine planner has control over defned constraints.Application and comparison of the models for production scheduling using 298 drawpoints over 15 periods are presented.展开更多
为了提高油田联合站的经济效益,达到进一步节能降耗的目的,对分布式能源系统的科学用能、节能方法进行研究,将分布式能源系统的设备及运行策略进行合理配置,使其能量输出与联合站的用能需求相匹配。以年平均总支出费用最低为目标函数,...为了提高油田联合站的经济效益,达到进一步节能降耗的目的,对分布式能源系统的科学用能、节能方法进行研究,将分布式能源系统的设备及运行策略进行合理配置,使其能量输出与联合站的用能需求相匹配。以年平均总支出费用最低为目标函数,能量平衡和设备安全运行为约束条件,建立并求解油田联合站分布式能源系统的混合整数线性规划(Mixed-integer Linear Programming,MILP)模型。实例计算结果表明:与传统集中式能源和冷热电三联供系统相比,基于该模型求解的方案经济效益明显,能源利用率高,且更节能环保。(图5,表3,参20)展开更多
文摘热电联供(Combined Heat and Power, CHP)型微网集成了多种分布式能源,能源利用率较高,具有光明的应用前景。科学合理的系统规划是CHP型微网经济、高效运行的基础。基于此提出考虑需求侧热、电协同响应的CHP型微网多目标规划方法,规划目标兼顾经济指标和碳排放指标。需求侧热电协同响应模型基于建筑物和热水箱的热力学特性,同时考虑可转移电负荷的调度,从而建立基于需求侧协同响应的CHP型微网多目标混合整数线性规划模型。以居民区CHP型微网规划为例进行算例仿真,验证了方法的有效性。结果表明,应用需求侧热电协同响应可降低CHP型微网所需配置的燃气锅炉和储热罐容量,使系统综合成本明显降低。
基金funding support provided by the Laurentian University Research Fund for the compilation of this report
文摘Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming(MILP) optimization framework. The MILP formulation maximizes the Net Present Value(NPV) of the reserve when extracted with(i) open pit mining,(ii) underground mining, and(iii) concurrent open pit and underground mining. Comparatively, implementing open pit mining generates a higher NPV than underground mining. However considering the investment required for these mining options, underground mining generates a better return on investment than open pit mining. Also, in the concurrent open pit and underground mining scenario, the optimizer prefers extracting blocks using open pit mining. Although the underground mine could access ore sooner, the mining cost differential for open pit mining is more than compensated for by the discounting benefits associated with earlier underground mining.
文摘Production schedules that provide optimal operating strategies while meeting practical,technical,and environmental constraints are an inseparable part of mining operations.Relying only on manual planning methods or computer software based on heuristic algorithms will lead to mine schedules that are not the optimal global solution.Mathematical mine planning models have been proved to be very effective in supporting decisions on sequencing the extraction of material in mines.The objective of this paper is to develop a practical optimization framework for caving operations’production scheduling.To overcome the size problem of mathematical programming models and to generate a robust practical near-optimal schedule,a multi-step method for long-term production scheduling of block caving is presented.A mixed-integer linear programming(MILP)formulation is used for each step.The formulations are developed,implemented,and verifed in the TOMLAB/CPLEX environment.The production scheduler aims to maximize the net present value of the mining operation while the mine planner has control over defned constraints.Application and comparison of the models for production scheduling using 298 drawpoints over 15 periods are presented.
文摘为了提高油田联合站的经济效益,达到进一步节能降耗的目的,对分布式能源系统的科学用能、节能方法进行研究,将分布式能源系统的设备及运行策略进行合理配置,使其能量输出与联合站的用能需求相匹配。以年平均总支出费用最低为目标函数,能量平衡和设备安全运行为约束条件,建立并求解油田联合站分布式能源系统的混合整数线性规划(Mixed-integer Linear Programming,MILP)模型。实例计算结果表明:与传统集中式能源和冷热电三联供系统相比,基于该模型求解的方案经济效益明显,能源利用率高,且更节能环保。(图5,表3,参20)
