This study employs the dynamicprogramming (DP) optimization approach to maximize the daily revenue of a concentrating solar power plant (CSP) equipped with a thermal energy storage system (TES). DP guarantees the opt...
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This study employs the dynamicprogramming (DP) optimization approach to maximize the daily revenue of a concentrating solar power plant (CSP) equipped with a thermal energy storage system (TES). DP guarantees the optimal solution and is easy from the computer coding point of view;therefore, it can be of great importance. Two real-life case studies are considered. The first case has a simple thermal model and is mainly chosen in order to verify the present optimization program. In this case, the present work achieves 1.3% (or US$480 /day) higher daily revenue in comparison with the literature. However, the simple thermal model of the first case study cannot appropriately simulate the actual operation of a CSP. Therefore, the optimization was applied to another case with a more detailed thermal model. The findings indicate that in order to maximize revenue, the charging and discharging of the TES should be managed such that the power block works under base load conditions (whenever it is active) and during periods of high electricity prices, regardless of the level of the daily solar radiation pattern. Furthermore, quantitative investigations show the substantial influence of the TES system on the daily revenue, especially for the case of low solar radiation pattern.
An exhaust duct system in semiconductor factory is designed using the dynamic programming method (DPM), which considers system pressure equilibrium and the least life-cycle cost to derive the duct size and fan capacit...
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An exhaust duct system in semiconductor factory is designed using the dynamic programming method (DPM), which considers system pressure equilibrium and the least life-cycle cost to derive the duct size and fan capacity. An example of alkaline gas exhaust system is provided to understand the characteristics of DPM and to compare with the conventional duct design methods. Since DPM contains the concept of minimizing the life-cycle cost, the design results not only guarantee each path to share the same pressure, but also bear a smaller cost than other methods. The limit on duct diameter or flow velocity is added to the computation process. As a result, all the derived outcomes satisfy the requirements on the range of duct diameter or flow velocity. The differences between the design and simulation (actual operation) results under DPM are much lower than those of other methods. Thus, an exhaust duct system that best approximates the actual operation may be designed using DPM. (C) 2003 Published by Elsevier Science Ltd.
This paper explores the optimization of an ice-storage air conditioning system in consideration of both minimal life-cycle cost and efficiency of ice-storage tank. Such air-conditioning system consists primarily of ic...
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This paper explores the optimization of an ice-storage air conditioning system in consideration of both minimal life-cycle cost and efficiency of ice-storage tank. Such air-conditioning system consists primarily of ice-storage tank, screw-type chiller and auxiliary equipment. Optimization is carried Out using dynamicprogramming algorithm, where the power consumption models of the chiller and its auxiliary equipment as well as the heat transport in ice-storage tank are established based on manufacturer's data. Initial cost and operation cost are objective functions, and the performance of chiller and ice-storage tanks are constraints. Through simulation analysis using numerical program, system optimization and analysis are carried out to obtain optimum chiller and ice-storage tank capacity. Finally, results are used to probe some design guidelines regarding life-cycle cost and payback period under chiller priority and ice priority control strategies. (C) 2004 Elsevier Ltd. All rights reserved.
In the paper, the mathematical model of inventory problem has been researched by using the dynamic programming method in the supply chain management. Then the optimal theory and algorithm of dynamicprogramming are gi...
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ISBN:
(纸本)9781846260636
In the paper, the mathematical model of inventory problem has been researched by using the dynamic programming method in the supply chain management. Then the optimal theory and algorithm of dynamicprogramming are given, at last the numerical examples are proposed and which shows dynamic programming method is meaningful.
The paper studies Principal-agent problem with dynamic programming method. So as to .nd the optimal contact between a principal and an agent, we make a model in dynamic state process to maximize the expected utility o...
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The paper studies Principal-agent problem with dynamic programming method. So as to .nd the optimal contact between a principal and an agent, we make a model in dynamic state process to maximize the expected utility of the agent and obtain the famous Hamilton-Jacobi-Bellman equation. Furthermore, we derive closed-form solution of HJB equation with a power utility function.
The problem addressed in this paper is minimization of the number of linear functions in a linear decomposition. This paper proposes an exact minimization method based on dynamicprogramming for index generation funct...
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ISBN:
(纸本)9781728100920
The problem addressed in this paper is minimization of the number of linear functions in a linear decomposition. This paper proposes an exact minimization method based on dynamicprogramming for index generation functions. The proposed method searches for an optimum solution while recursively dividing an index set of a given index generation function. To use partial solutions efficiently in solution search, the proposed method represents partitions of an index set compactly and uniquely by zero-suppressed binary decision diagrams (ZDDs). Existing methods based on a branch-and-bound approach search for a solution sequentially in a depth first manner. On the other hand, the proposed method searches for multiple partial solutions in parallel in a breadth-first manner. Thus, once a solution is found, we can terminate the search process. This is because the depth of searches corresponds to the number of linear functions. Experimental results using benchmark index generation functions show the effectiveness of the proposed method.
This paper explores the design methods for process exhaust duct systems, including velocity method, the equal friction method, the static regain method and the T-method, and produces actual case designs and system sim...
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This paper explores the design methods for process exhaust duct systems, including velocity method, the equal friction method, the static regain method and the T-method, and produces actual case designs and system simulations to compare the applicability of respective design methods. The study shows that none of the methods are able to meet the demand of cost optimization under the constraints of duct size and velocity, and the requirement of pressure balance. dynamicprogramming is therefore proposed. The results show that dynamicprogramming is better than the other methods. It is able to achieve the optimization of life-cycle cost while satisfying all constraints (flow rate, duct size, velocity and pressure balancing). The differences between the design and simulation results using dynamicprogramming are much lower than those of other methods. Thus a process exhaust duct system that approximates the actual operation best may be designed using dynamicprogramming.
The Yellow River diversion project consists of three gates, two pumping stations, and one plain reservoir, with a total river length of 17.46 km in the Panzhuang Yellow River irrigation area, which provides the primar...
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The Yellow River diversion project consists of three gates, two pumping stations, and one plain reservoir, with a total river length of 17.46 km in the Panzhuang Yellow River irrigation area, which provides the primary water source for the Dezhou central city, Shandong Province, China. The project is subject to the constraints of the Yellow River diversion sluice diverting water time, reservoir diverting water time, and combinations of pumping stations with self -flowing gates. The opening and closing forms of the gates and pumps are complicated and irregular, and the switching of the gates and pumps mainly depends on the experience of the staff, which makes the water transfer cost high and the water transfer time long. Based on engineering compositions in the study area, an optimal mathematical model is constructed by the dynamic programming method. By combining the flow and water level, the objectives of the minimum operation cost, the shortest water transfer time and the combination of the two are established. A new optimization scheme of the switch between gates and pumps combined with water level and flow is proposed, which reduces the operation cost by 20% and the water transfer time by 8%, providing an efficient operation mode.
Considerable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefo...
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Considerable energy is consumed during steel manufacturing process. Byproduct gas emerges as secondary energy in the process; however, it is also an atmospheric pollution source if it is released into the air. Therefore, the optimal utilization of byproduct gas not only saves energy but also protects environment. To solve this issue, a fore- cast model of gas supply, gas demand and surplus gas in a steel plant was proposed. With the progress of energy conservation, the amount of surplus gas was very large. In a steel plant, the surplus gas was usually sent to boilers to generate steam. However, each boiler had an individual efficiency. So the optimization of the utilization of surplus gas in boilers was a key topic. A dynamic programming method was used to develop an optimal utilization strategy for surplus gas. Finally, a case study providing a sound confirmation was given.
I consider a continuous-time optimal consumption and portfolio selection problem with voluntary retirement. When the agent's utility of consumption and leisure are of Cobb-Douglas form, I use the dynamic programmi...
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I consider a continuous-time optimal consumption and portfolio selection problem with voluntary retirement. When the agent's utility of consumption and leisure are of Cobb-Douglas form, I use the dynamic programming method to derive the value function and optimal strategies in closed-form. These coincide with the solutions of Farhi and Panageas (2007)[7], who have solved the problem using a martingale method. (C) 2012 Elsevier Ltd. All rights reserved.
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