Review of Economic Operation Optimization Strategy of Photovoltaic Grid-Connected System

2013 ◽  
Vol 860-863 ◽  
pp. 75-80
Author(s):  
Yang Du ◽  
Wei Cao ◽  
Wan Xin Li
Keyword(s):  
Objective Function ◽  
Research Methods ◽  
Optimization Strategy ◽  
System Operation ◽  
Operation Optimization ◽  
Economic Operation ◽  
Key Issues ◽  
Main Factors

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.

Book Review--The Naylor Report on Undergraduate Research in Writing Studies

2021 ◽  
Vol 4 (2) ◽  
pp. 64-64
Author(s):  
Ryan Weber ◽  
Keyword(s):  
Research Methods ◽  
Undergraduate Research ◽  
Writing Studies ◽  
Research Experiences ◽  
New Knowledge ◽  
Key Issues

This collection presents discussion, observations, and conclusions from the 2018 Naylor Symposium on Undergraduate Research in Writing Studies, and it captures both the findings and the spirit of the symposium itself. The text covers key issues in undergraduate research (UR) such as mentoring, introducing research methods, structuring research experiences, creating new knowledge, and sharing findings with audiences.

An MCFC operation optimization strategy based on PID auto-tuning control

2017 ◽  
Vol 42 (40) ◽  
pp. 25518-25530 ◽  
Author(s):  
Donghyeon Lee ◽  
Yujin Cheon ◽  
Jun-Hyung Ryu ◽  
In-Beum Lee
Keyword(s):  
Optimization Strategy ◽  
Operation Optimization ◽  
Auto Tuning

scholarly journals Quantifying government media relations in Queensland

2010 ◽  
Vol 1 (2) ◽  
Author(s):  
Mark Leslie Pearson ◽  
Hamish McLean
Keyword(s):  
Research Methods ◽  
Academic Research ◽  
Information Services ◽  
Media Relations ◽  
Investigative Journalism ◽  
Real Cost ◽  
Competing Interests ◽  
Key Issues ◽  
Administrative Review ◽  
Modern Era

This article draws upon historical and contemporary data to attempt to identify key issues in government media relations and to discuss the processes and challenges involved in attempting to quantify the expenditure on this activity in the state of Queensland in the modern era. A combination of investigative journalism and academic research methods have been used to position government media relations as a practice and to gauge expenditure, staffing, and cost to the taxpayer of government media relations in Queensland. The Electoral and Administrative Review Commission’s Report on review of government media and information services (EARC, 1993) was the first comprehensive measure of such costs and since then only some insights were offered by premiers Beattie and Bligh in 2006 and 2008 in response to parliamentary questions on notice. This article reviews these costs, canvasses expert estimates of the real cost of government media relations, and debates some of the competing interests at stake.

Discussion on the Method for Determining the Harbor Channel Design Width - Take the Proposed 250,000 ton Waterway of Panjin Harbor for Instance

2014 ◽  
Vol 1065-1069 ◽  
pp. 480-485
Author(s):  
Li Zhang
Keyword(s):  
Channel Width ◽  
Channel Design ◽  
Key Issues ◽  
Main Factors

Reasonably determining the width of the harbor channel is one of the key issues of waterway design. This paper compares with the domestic and international relevant provisions for determining the channel width, summarizes the main factors of affecting the channel width, and takes the proposed 250,000 ton waterway of Panjin Harbor waterway for example, calculates and analyzes the differences of each specification, and points out the shortcomings of the domestic existing norms of our country and gives out recommendations.

Genetic Algorithm for Nanoscale Electro-Thermal Optimization

2007 ◽  
Author(s):  
Adam W. Skorek ◽  
Anna Gryko-Nikitin ◽  
Joanicjusz Nazarko
Keyword(s):  
Genetic Algorithm ◽  
Heat Source ◽  
Objective Function ◽  
Optimization Algorithm ◽  
Specific Function ◽  
Optimization Strategy ◽  
Thermal Optimization

In this paper, we are presenting a genetic algorithm adopted for electro-thermal optimization in nanoelectronics devices and systems. The model of nanoelectronic system is simplified. Each heat source will be approximated by a specific function. The presented optimization strategy is designated for any system containing a number N of nanoelectronic elements. Optimization for the overall structure of the system will be performed in conformity with the temperature minimization criteria in the chosen areas of the system. Regarding others non unexpected modifications of the optimization algorithm, we are using a modified complex objective function.

Design and Optimization of Multiple Microchannel Heat Transfer Systems Based on Multiple Prioritized Preferences

2012 ◽  
Author(s):  
Po Ting Lin ◽  
Jingru Zhang ◽  
Yogesh Jaluria ◽  
Hae Chang Gea
Keyword(s):  
Heat Transfer ◽  
Objective Function ◽  
Optimal Solution ◽  
Optimization Strategy ◽  
Pressure Drops ◽  
Design And Optimization ◽  
Heat Flows ◽  
First Case ◽  
Efficiency Measures ◽  
Objective Function Values

Multiple microchannel heat transfer systems have been developed for the urge of rapid and effective cooling of the electronic devices, which have become smaller and more powerful but also produced more heat. Two different types of single-phase liquid cooling, including the straight and U-shaped microchannel heat sinks, have been utilized to reduce the temperature of the electronic chips. The cooling performances however depend on the preferences of different factors such as the thermal resistances, the pressure drops, and the heat flows at the solid-fluid interfaces. Lower thermal resistance represents higher temperature reduction; lower pressure drop means lower usage of the pumping power; and higher heat flows indicates more effective cooling between the heat spreader and the liquid. In this paper, an optimization strategy based on the prioritized performances has been developed to find the optimal design variables for multiple objectives: minimal thermal resistances, minimal pressure drops and maximal heat flows. The fuzzy and correlated preferences are modeled by the Gaussian membership functions with respect to different levels of the objective function values. The overall performances are formulated based on the prioritized preferences and maximized on the Pareto-optimal solution set to find the solutions for various preference conditions. Two case studies have been discussed. The first case considered the prioritized preferences based on uni-objective function values while the second one focused on the preferences of the thermal resistances and the efficiency measures, correlatively evaluated by the flow rates, pressure drops, and heat flows.

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