In this paper, we investigate the crude oil selection problem derived from the production of a large typical oil refinery. A deterministic mixedintegerprogramming model for making purchasing decisions in the refiner...
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ISBN:
(纸本)9783037852491
In this paper, we investigate the crude oil selection problem derived from the production of a large typical oil refinery. A deterministic mixedintegerprogramming model for making purchasing decisions in the refinery is proposed in which practical transportation requirements are considered. The objective is to select the varieties of crude oil and determine the purchasing, production and inventory quantities under complicated material-balance constraints and capacity constraints for minimizing the sum of purchasing, order, inventory and transportation costs. A numerical example indicates the extensive application of the presented model.
The effective application of continuous gas lift entails solving the combinatorial optimization problem of optimally allocating limited resources. This work proposes a mixedintegerlinear formulation for the problem ...
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The effective application of continuous gas lift entails solving the combinatorial optimization problem of optimally allocating limited resources. This work proposes a mixedintegerlinear formulation for the problem of maximizing oil field profit under multiple facility constraints such as limited lift gas, fluid handling, and storage capacities. Families of valid inequalities are identified and introduced into the basic model to render a stronger formulation. Numerical experiments using commercial and non-commercial software, and comparisons with published results, show that the proposed method yields fast solution with significant average increase in oil production rate and profit.
Planning of distributed energy systems is a challenging task, involving a lot of technical, economic, environmental and political factors. In this study, an optimization model based decision support system and relevan...
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Planning of distributed energy systems is a challenging task, involving a lot of technical, economic, environmental and political factors. In this study, an optimization model based decision support system and relevant software package have been developed to provide comprehensive analysis of economic, eneigetic and environmental issues within a distributed energy system framework. The optimization problem is formulated as a mixed integer linear programming (MILP) model with an objective to minimize overall cost of the distributed energy system including both investment and running ones. The branch and bound (B&B) algorithm in combination with the simplex one has been employed to solve the model. By enduing a user-friendly interface, the system can be easily used without the necessity to understand special expertise and knowledge on energy system planning and decision analysis. In addition, besides the distributed energy system planning, it can be also employed for examining and visualizing effects of local energy and environmental policies, regional development policies, as well as climate change policies within a local framework.
A unified platoon-based mathematical formulation called PAMSCOD is presented to perform arterial (network) traffic signal control while considering multiple travel modes in a vehicle-to-infrastructure communications e...
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A unified platoon-based mathematical formulation called PAMSCOD is presented to perform arterial (network) traffic signal control while considering multiple travel modes in a vehicle-to-infrastructure communications environment. First, a headway-based platoon recognition algorithm is developed to identify pseudo-platoons given probe vehicles’ online information. It is assumed that passenger vehicles constitute a significant majority of the vehicles in the network. This algorithm identifies existing queues and significant platoons approaching each intersection. Second, a mixed-integerlinear program (MILP) is solved to determine future optimal signal plans based on the current traffic controller status, online platoon data and priority requests from special vehicles, such as transit buses. Deviating from the traditional common network cycle length, PAMSCOD aims to provide multi-modal dynamical progression (MDP) on the arterial based on the probe information. Microscopic simulation using VISSIM shows that PAMSCOD can easily handle two common traffic modes, transit buses and automobiles, and significantly reduce delays for both modes under both non-saturated and oversaturated traffic conditions as compared to traditional state-of-practice coordinated-actuated signal control with timings optimized by SYNCHRO.
Abstract This paper depicts a formulation of the global home electricity management problem, which consists in adjusting the electric energy consumption to the cost and availability variations of the power supply. The...
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Abstract This paper depicts a formulation of the global home electricity management problem, which consists in adjusting the electric energy consumption to the cost and availability variations of the power supply. The available flexibilities of the services to inhabitants are used to compute optimal plans for appliances control. Two optimization criteria are addressed: the user's comfort and the economic cost. A global multi-layer solving approach is depicted that includes first the computation of consumption/production coordination plans and then the dynamic matching to the actual consumption/production data. The paper focuses on the computation of the anticipative plan through a MILP formulation of the energy management problem. Application examples are given.
Abstract In Germany up to 100 GW of intermittent wind and solar power feed-in is expected until 2020. The network load probably will be between 45 GW and 85 GW. Therefore the influence of renewable power production es...
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Abstract In Germany up to 100 GW of intermittent wind and solar power feed-in is expected until 2020. The network load probably will be between 45 GW and 85 GW. Therefore the influence of renewable power production especially onto thermal power generation is investigated by this paper in detail. An adjusted mixed-integer optimization model using the CPLEX solver 11.2 is used to calculate power plant schedules for the thermal generation system with up to 160 single thermal power plants (TPPs). Inter-temporal constraints like minimum up and down times, time depending startup costs, maximum power transients and a detailed allocation of spinning reserve power for primary and secondary control are considered. The load covered by fossil and nuclear power plants is determined considering the currently projected power from offshore wind farms, solar panels, combined heat and power in combination with the German pumped storage power stations (PSPSs) in 2020. The paper includes several scenarios to illustrate the heavy influence and show the results of the used model and time series.
By taking into consideration the road traffic congestion on urban center and a bottleneck junction, based on the flow-sharing and traffic management strategy, a mixed-integerlinearprogramming model is established by...
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ISBN:
(纸本)9781612847719
By taking into consideration the road traffic congestion on urban center and a bottleneck junction, based on the flow-sharing and traffic management strategy, a mixed-integerlinearprogramming model is established by using the method of time-space analysis, which can carry out green wave control and red wave control for different directions in arterial road. The various traffic control needs can be satisfied to adapt to different traffic conditions by adjusting the red wave weighting factor in the objective function. The optimal solution of the model can be achieved by use of LINGO software and programming language. Finally, the example effectively demonstrates that the model can maximize the bandwidths of green wave and red wave for different directions and obtain precise timing schemes with a strong scientific rationality.
This paper derives a mathematical structure for investment decisions of a profit-maximising and strategic producer in liberalised electricity markets. The paper assumes a Cournot producer in an energy market with noda...
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ISBN:
(纸本)9781457710001
This paper derives a mathematical structure for investment decisions of a profit-maximising and strategic producer in liberalised electricity markets. The paper assumes a Cournot producer in an energy market with nodal pricing regime. The Cournot producer is assumed to have revenue from selling energy to the pool. The investment problem of the strategic producer is modelled through a leader-follower game in applied mathematics. The leader is the strategic producer seeking the optimal mix of its investment technologies and the follower is a stochastic estimator. The stochastic estimator forecasts the reactions of other producers in the market in response to the investment decisions of the producer in question. The stochastic estimator takes the investment decisions of the producer and it calculates the stochastic prices. The mathematical structure is a stochastic linear bilevel programming problem. This problem is reformulated as a stochastic MILP problem which can be solved using the commercially available software packages. Finally, the developed mathematical structure is applied to a six-node example system to highlight the strengths of the whole approach.
Intentional skew is known to be useful for improving clock frequency and/or tolerance to delay variations. This paper proposes a complete framework for treating skew schedule in the high level datapath synthesis. Majo...
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ISBN:
(纸本)9781612849133
Intentional skew is known to be useful for improving clock frequency and/or tolerance to delay variations. This paper proposes a complete framework for treating skew schedule in the high level datapath synthesis. Major contributions include (1) the incorporation of timing issue on multiplexer-control into the skew scheduling problem (previously, only timing issue on register-control has been discussed, but it is incomplete for a datapath circuit which is controlled by control-signals to registers and multiplexers), and (2) a complete MILP (mixed integer linear programming) formulation of simultaneous functional unit (FU) binding and register incorporating with skew scheduling. Experimental examples demonstrate the correctness and the effectiveness of our framework.
In this paper we consider complex mechanical systems that operate within harsh, uncertain environments where mission success depends critically upon the system's ability to monitor and maintain its own internal he...
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In this paper we consider complex mechanical systems that operate within harsh, uncertain environments where mission success depends critically upon the system's ability to monitor and maintain its own internal health. In particular, we focus on the problem of reconfiguring a system's internal resource distribution subsystems in response to one or more damage events. We present a graph-based approach that guarantees the resulting states adhere to a desirable resource segregation constraint. We also provide results using this approach in conjunction with optimization techniques to reconfigure a representative hardware test platform.
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