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optimization strategy for planing hull design

INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING 2022年 14卷

作者： Tran, Thai Gia Van Huynh, Quang Kim, Hyun Cheol Nha Trang Univ Dept Naval Architecture & Marine Engn Nha Trang Vietnam Bach Khoa Sai Gon Coll Fac Engn HCMC Vietnam Ulsan Coll Fac Mech Engn Ulsan South Korea

The planing hull optimization has always been a difficult problem due to the trim changes caused by lift force and complex hydrodynamic interactions at high speeds. In this paper, a strategy is presented to optimize a planing hull design, starting from using dimensional analysis to establish a resistance objective function depending on three dimensionless hull form parameters, then using CFD or Savitsky method to predict resistance for each hull variant formed by changing each pair of hull form parameters in the resistance objective function, and finally, determining an optimal hull form variant with minimum resistance based on the combination of the Kriging surrogate model and Neldel-Mead optimization algorithm. In addition, our modified Savitsky computational procedure and suitable inputs for the CFD solver are also applied to improve the accuracy of planing hull resistance predictions. For practicality, the proposed strategy was applied to evaluate the design of a high-speed vessel, named K88, which was model tested but did not achieve the expected performance. As a result, this vessel can be optimally redesigned with the ability to reduce total resistance by about 11.3% when simultaneously correcting deadrise angle and breadth, and by about 19.4% when simultaneously correcting deadrise angle and chine height at the bow.(c) 2022 Society of Naval Architects of Korea. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Computational Fluid Dynamics (CFD) optimization strategy High speed vessel Savitsky method K88

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optimization strategy for SAM in nuclear power plants based on NSGA-II

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KERNTECHNIK 2023年第6期88卷 710-724页

作者： Zhou, Sikai Xie, Mingliang Zheng, Jianxiang Miao, Huifang Xiamen Univ Coll Energy 4221-104 Xiangan South Rd Xiamen 361002 Peoples R China Fujian Res Ctr Nucl Engn Xiamen 361102 Fujian Peoples R China Naval Univ Engn Coll Nucl Sci & Technol Wuhan 430033 Hubei Peoples R China China Nucl Power Operat Technol Corp Wuhan 430223 Hubei Peoples R China

The Severe Accident Management Guide (SAMG) is an important component of nuclear safety regulations. Many studies are being conducted to optimize severe accident management (SAM) strategies. To ensure the safety of nuclear power plants, decision makers need to monitor multiple parameters with security threats. Therefore, it is particularly important to search optimal SAM strategies under different numbers of mitigation targets. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is an evolutionary algorithm that does not require derivative differentiation and is capable of population search. In this study, a nuclear power plant accident optimization strategy is developed using the Modular Accident Analysis Program (MAAP) in conjunction with NSGA-II. The strategy enables decision makers to consider multiple mitigation objectives in a complex decision environment. Focusing on the CPR1000, this study applies the optimization strategy to automatically search for optimal mitigation strategies for small break loss of coolant accident (SBLOCA) and station blackout hot leg creep rupture accidents (SBOHLCR). Comparing the optimization results with the basic accident sequence, it is found that the reactor pressure vessel (RPV) failure time is delayed from 72,702 s to 128,730 s under SBLOCA and from 23,828 s to 28,363 s under SBOHLCR. This study has also verified that the optimal SAM strategy obtained by the strategy through dual objective optimization has better mitigation effects than a strategy that only considers one objective. This optimization strategy has the potential to be applied to other types of severe accident management studies in the future.

关键词： modular accident analysis program multi-objective optimization non-dominated sorting genetic algorithm-II nuclear power optimization strategy

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A optimization strategy of Microgrid Energy Market Based on Scenario Method 3

A Optimization Strategy of Microgrid Energy Market Based on ...

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IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)

作者： Zhang, ZiChong Wang, HongBin Qin, Yu Gu, ChunHui Chen, DaPeng Yin, Kuang Guangzhou Power Supply Co LTD Guangzhou Guangdong Peoples R China South China Univ Technol Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781538662434

For microgrids linked to the major network via the contact line, a optimization strategy of microgrid participation in energy market is proposed in this paper. A stochastic optimization model based on scenario method is established for the microgrid to optimize the energy bids for the day-ahead (DA) and real-time (RT) balancing market, respectively. In the first stage, the bidding strategy of the microgrid is optimized in the DA market, and in the second stage, according to the clearing result, the micro-grid re-optimizes its power generation plan and the real-time tie-line power exchange plan. The proposed strategy is verified based on the market rules and electricity price of PJM. The method proposed in this paper can help the microgrid to determine the optimal strategy to participate in the energy market and reduce its running cost effectively.

关键词： optimization strategy microgrid DA and RT market scenario method

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The optimization strategy of Loop closing Operation in Self-healing Distribution Network

The Optimization strategy of Loop closing Operation in Self-...

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International Forum on Computer and Information Technology (IFCIT)

作者： Zhang, Shidong Li, Lisheng Zhao, Honglin Ji, Xingquan State Grid Shandong Elect Power Co Elect Power Res Inst Jinan 250003 Peoples R China

ISBN: (纸本)9783038350194

Self-healing is the most important feature of smart distribution network. This paper analyzes the mathematic model and the optimization scenario of the loop closing power supply switching operation in the self-healing frame. An effective distribution network loop closing optimization strategy is proposed, which is significant for reducing loop closing operation risk and increasing the stability of power supply.

关键词： Distribution network self-healing loop closing optimization strategy

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Review of Economic Operation optimization strategy of Photovoltaic Grid-Connected System

Review of Economic Operation Optimization Strategy of Photov...

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3rd International Conference on Energy, Environment and Sustainable Development (EESD 2013)

作者： Du, Yang Cao, Wei Li, Wanxin Shanghai Univ Elect Power Shanghai 200090 Peoples R China

ISBN: (纸本)9783037859728

Economy is one of the main factors for the development of photovoltaic grid-connected system. From the view of economic operation in this article, four aspects of photovoltaic grid-connected system are reviewed, including the component modeling, the objective function, constraints and optimization strategies. Typical research methods used in economic operation are analyzed, and the key issues about photovoltaic grid-connected system operation are pointed out.

关键词： Photovoltaic grid-connected system Economic operation optimization strategy

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Substation Voltage optimization strategy in Traction Power Supply System with Bidirectional Converter Devices 19

Substation Voltage Optimization Strategy in Traction Power S...

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20th IEEE Vehicle Power and Propulsion Conference (IEEE VPPC)

作者： Wang, Kuo Lin, Fei Yang, Zhongping Wang, Tingting Wei, Xiong Fu, Ping Beijing Jiaotong Univ Sch Elect Engn Beijing Peoples R China CRRC Qingdao Sifang Vehicle Res Inst Co Ltd Qingdao Peoples R China

ISBN: (纸本)9798350344455

The bidirectional converter device (BCD) can replace the traditional diode rectifier unit to both supply traction energy to the system and to recover regenerative braking energy. The operating characteristics of BCDs are controllable, and it is very important to study the impact on system energy saving. This paper is based on the application scheme of BCDs to completely replace diode rectifier units. The operating characteristics of the BCD are introduced, and the energy distribution of the system is analyzed. Taking the total energy consumption of the system as the objective function, a substation voltage optimization strategy is proposed considering the dynamic operation of trains. It can dynamically optimize the ratio of energy utilization through different paths, allocate the power of each substation. Finally, a multi-train scenario is carried out by Matlab. The simulation results prove that the proposed strategy can coordinate the power of each substation and reduce the system losses. The system energy utilization is increased by 1.77% compared to the constant voltage control.

关键词： urban rail transit bidirectional converter device (BCD) regenerative braking energy saving optimization strategy

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Primary Research About Energy Consumption Analysis And optimization strategy Of Office Buildings

Primary Research About Energy Consumption Analysis And Optim...

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2nd International Conference on Energy and Environmental Protection (ICEEP 2013)

作者： Zou Huifen Fei Yingchao Cao Xiaozhen Ye Sheng Shenyang Jianzhu Univ Sch Municipal & Environm Engn Shenyang 110168 Peoples R China Shenyang Jianzhu Univ Sch Management Shenyang 110168 Peoples R China

ISBN: (纸本)9783037857410

Based on the energy saving reconstruction of an existing office building in Hangzhou, this paper analysis the building energy consumption through the DEST simulation at the present phase. Then summarize the deficiency and reconstruction of the building, and accordingly we propose a reconstruction scheme for the building which is based on the primary research about the optimization strategy of energy saving. This will provide a strong basis about the energy saving reconstruction direction and the reconstruction emphasis of the office building in hot summer and cold winter area.

关键词： The DEST simulation building energy consumption office building optimization strategy

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optimization strategy of Group Companies' Financial Management of Subsidiary Companies

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外文科技期刊数据库(文摘版)经济管理 2022年第4期 146-149页

作者： LUGang ZHAODayong LiaoningGeologyandMineralResourcesConstructionGroupCo. Ltd.Shenyang110013China LiaoningNonferrousExplorationandResearchInstituteCo. Ltd.Shenyang110013China

After entering the new normal of economy, although the economy is in a state of continuous development, with the deepening of the reform of the market economy system, the whole market environment has become more and more severe, and many companies are submerged in the wave of market economy due to poor management. Under such a background, the group companies are also facing increasing pressure on business development. In order to ensure the stability and sustainability of development and improve the profit level, it is necessary to do a good job in scientific control and effective intervention on the financial management activities of subsidiaries, so as to reduce financial risks, achieve profit targets and achieve good synergies. The financial management of a group company to a subsidiary company should proceed from the actual situation, objectively analyze the actual problems existing in the current financial management, and then determine the corresponding financial control measures, so as to enhance the overall competitiveness of the group company, strengthen its overall strength and adapt to the increasingly complex development environment.

关键词： group companies subsidiaries financial management optimization strategy

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Investigation of optimization strategy and freeform location on multi-surface systems 7

Investigation of optimization strategy and freeform location...

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Conference on Optical Design and Engineering VII

作者： Liu, Chang Gross, Herbert Friedrich Schiller Univ Jena D-07743 Jena Germany

ISBN: (数字)9781510619180

ISBN: (纸本)9781510619180

The development in optical manufacture, alignment and testing has enabled the increasing use of freeform surfaces in all kinds of optical systems. The demanding system requirements need the involvement of optical surfaces that is able to provide more degrees of freedom. For better and more efficient use of the freeform surfaces, the understanding of freeform surfaces from all perspectives is necessary. We therefore study the impact of optimization strategy and freeform location on typical optical systems for varying applications. The uses of different optimization strategies, as well as the choice of locations for placing one or two freeform surfaces are considered. Their respective impacts on the final system performance are analyzed according to different aberration constitutions. By concluding all findings, we present some general rules for using and optimizing freeform surfaces in real design work. In the end, a work flow that gives instructions on how to use freeform surfaces in system design is presented.

关键词： Freeform position optimization strategy multiple freeform

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An Investigation on Vehicle Fuel Consumption optimization strategy Based on Scenario Information 14

An Investigation on Vehicle Fuel Consumption Optimization St...

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14th International Conference on Advanced Computational Intelligence

作者： Li, Xin Kang, Mingxin China North Vehicle Res Inst Beijing 100072 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China

ISBN: (数字)9781665470452

ISBN: (纸本)9781665470469;9781665470452

The rapid development of vehicle-to-everything (V2X) and intelligent control technologies brings new opportunities and challenges to the traditional automotive control architecture. More driving information about traffic scenarios and ambient events such as the road slope, the traffic light timing is possible to be obtained via V2X system. And then, those traffic information will be extracted by individual vehicle's controller and be further utilized to design the optimal control strategy. Fuel economy performance and time losses for waiting for the traffic red light are the two main concerns by most drivers. In order to obtain a satisfactory fuel economy performance and lower traveling time loss, this paper investigates an eco-driving problem for road vehicles when assuming the information of the traffic light ahead is prior known. The optimization problem by balancing the fuel consumption and time loss is designed and meanwhile the time phase of the traffic light is also considered. The optimization problem is firstly solved with the dynamic programming (DP) algorithm. Preliminary simulations have been implemented and the simulation results demonstrate the potential ability in improvement of the fuel economy performance. Moreover, an equivalent problem is formulated under the switching control system framework, to guarantee the hard constraint of the red light. The equivalent problem provides an interesting topic for the open discussion.

关键词： eco-driving traffic light information optimization strategy fuel economy performance time losses

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