scholarly journals Developments, Trends, and Challenges in Optimization of Ship Energy Systems

2020 ◽  
Vol 10 (13) ◽  
pp. 4639 ◽  
Author(s):  
Christos A. Frangopoulos
Keyword(s):  
Optimization Problems ◽  
Energy Systems ◽  
Journal Articles ◽  
Control Engineering ◽  
Operation Optimization ◽  
Synthesis Design ◽  
Intertemporal Optimization ◽  
And Control ◽  
Future Work ◽  
Further Development

A review of developments, trends, and challenges in synthesis, design, and operation optimization of ship energy systems is presented in this article. For better understanding of the context of this review, pertinent terms are defined, including the three levels of optimization: synthesis, design, and operation (SDO). The static and dynamic optimization problems are stated mathematically in single- and multiobjective form. The need for intertemporal optimization is highlighted. The developments in ship energy systems optimization throughout the years is clearly presented by means of journal articles, giving the main characteristics of each article. After the review of what has been done up to now, ideas for future work are given. Further research needs for optimization of ship energy systems are mentioned: further development of methodology for synthesis optimization and SDO optimization, including transients, uncertainty, reliability, and maintenance scheduling. Hints are given for expansion of the system border in order to include aspects belonging to other disciplines, such as electrical and control engineering as well as hull and propulsor optimization, thus, opening a way to the holistic ship optimization.

Genetic Algorithms for Optimization of Building Envelopes and the Design and Control of HVAC Systems

2003 ◽  
Vol 125 (3) ◽  
pp. 343-351 ◽  
Author(s):  
L. G. Caldas ◽  
L. K. Norford
Keyword(s):  
Genetic Algorithms ◽  
Optimization Problems ◽  
Optimization Methods ◽  
Optimization Method ◽  
Hvac Systems ◽  
Design Problems ◽  
Building Walls ◽  
Building Form ◽  
And Control ◽  
Future Work

Many design problems related to buildings involve minimizing capital and operating costs while providing acceptable service. Genetic algorithms (GAs) are an optimization method that has been applied to these problems. GAs are easily configured, an advantage that often compensates for a sacrifice in performance relative to optimization methods selected specifically for a given problem, and have been shown to give solutions where other methods cannot. This paper reviews the basics of GAs, emphasizing multi-objective optimization problems. It then presents several applications, including determining the size and placement of windows and the composition of building walls, the generation of building form, and the design and operation of HVAC systems. Future work is identified, notably interfaces between a GA and both simulation and CAD programs.

scholarly journals Automated modelling of building energy systems with mode-based control algorithms in Modelica

2021 ◽  
Vol 2042 (1) ◽  
pp. 012067
Author(s):  
Xiaoye Cai ◽  
Junyi Xue ◽  
Alexander Kümpel ◽  
Dirk Müller
Keyword(s):  
Planning Process ◽  
Control Strategies ◽  
Energy Systems ◽  
Building Energy ◽  
Control Algorithms ◽  
Operating Modes ◽  
Building Energy Systems ◽  
Core Elements ◽  
And Control ◽  
Future Work

Abstract The increasing use of renewable energy in building energy systems has brought considerable challenges for the traditional planning process to develop appropriate control strategies. In previous work, we have introduced the MODI method to support the structured development of mode-based control algorithms, in which operating modes are core elements. However, modeling of energy systems and control algorithms for control tests is time-consuming and error-prone. Identification of permissible operating modes is also unfeasible. The paper introduces a methodology to identify permissible operating modes and model energy systems with mode-based control algorithms in the modeling language Modelica automatically. In the case study, we apply the methodology for an energy supply network and verify the functionality of the methodology. In future work, automated optimization of control algorithms will be integrated into the methodology.

scholarly journals Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 893 ◽  
Author(s):  
George Sakalis ◽  
George Tzortzis ◽  
Christos Frangopoulos
Keyword(s):  
Dynamic Optimization ◽  
Power Plants ◽  
Optimization Problems ◽  
Operating Cost ◽  
Optimal Solution ◽  
Energy Systems ◽  
Operating Conditions ◽  
Usual Practice ◽  
Integrated Energy Systems ◽  
Synthesis Design

Fuel expenses constitute the largest part of the operating cost of a merchant ship. Integrated energy systems that cover all energy loads with low fuel consumption, while being economically feasible, are increasingly studied and installed. Due to the large variety of possible configurations, design specifications, and operating conditions that change with time, the application of optimization methods is imperative. Designing the system for nominal conditions only is not sufficient. Instead, intertemporal optimization needs to be performed that can be static or dynamic. In the present article, intertemporal static and dynamic optimization problems for the synthesis, design, and operation (SDO) of integrated ship energy systems are stated mathematically and the solution methods are presented, while case studies demonstrate the applicability of the methods and also reveal that the optimal solution may defer significantly from the solutions suggested with the usual practice. While in other works, the SDO optimization problems are usually solved by two- or three-level algorithms; single-level algorithms are developed and applied here, which tackle all three aspects (S, D, and O) concurrently. The methods can also be applied on land installations, e.g., power plants, cogenerations systems, etc., with proper modifications.

SIALIC ACID IN THE PRIMARY AND DIFFERENTIAL DIAGNOSIS OF LUNG CANCER

2017 ◽  
Vol 63 (6) ◽  
pp. 926-932
Author(s):  
Lyudmila Belskaya ◽  
Viktor Kosenok ◽  
Ж. Массард
Keyword(s):  
Lung Cancer ◽  
Enzyme Activity ◽  
Optimization Problems ◽  
Primary Lung Cancer ◽  
Nonparametric Test ◽  
Nonsmall Cell Lung Cancer ◽  
Group Differences ◽  
Diagnosis Of Lung Cancer ◽  
And Control ◽  
Control Study

So far optimization problems for diagnostics and prognostication aids remained relevant for lung cancer as a leader in the structure of cancers. Objective: a search for regularities of changes in the saliva enzyme activity in patients with nonsmall cell lung cancer. In the case-control study, 505 people took part, divided into 2 groups: primary (lung cancer, n=290) and control (conventionally healthy, n=215). All the participants went through a questionnaire survey, saliva biochemical counts, and a histological verification of their diagnosis. The enzyme activity was measured with spectrophotometry. Between-group differences were measured with the nonparametric test. It was shown that in terms of lung cancer, we observe metabolic changes, described with the decreased de Ritis coefficient (p

Portable Life Support System: Current Status and Future Perspectives

2020 ◽  
Vol 14 (1) ◽  
pp. 12-28
Author(s):  
Jingang Jiang ◽  
Yihao Chen ◽  
Xuefeng Ma ◽  
Yongde Zhang ◽  
Zhiyuan Huang ◽  
...  
Keyword(s):  
Support System ◽  
Life Support ◽  
Support Systems ◽  
Vital Signs ◽  
Current Status ◽  
Life Support System ◽  
Life Support Systems ◽  
Special Circumstances ◽  
And Control ◽  
Further Development

Background: Portable life support system is used in the battlefield, disaster and in other special circumstances such as in space exploration, and underground survey to give the wounded a life support. The most dangerous period for the injured is the first hour after an injury, which is a crucial time for treatment. If the patient's vital signs were stabilized, more than 40% of the injured could be saved. The staff can efficiently complete the task if they get effective and stable vital signs during the operation. Therefore, in order to reduce the risk of disaster and battlefield mortality to improve operational safety and efficiency, it is necessary to study the portable life support system. Objective: The study aimed to provide an overview of recent portable life support system and its characteristics and design. Methods: This paper introduces the patents and products related to a portable life support system, and its characteristics and application. Results: This paper summarizes five kinds of portable life support systems which are box type, stretcher type, bed type, backpack type and mobile type. Moreover, the characteristics of different portable life support systems are analyzed. The paper expounds the problems of different types of portable life support systems and puts forward improvement methods to solve the problems. Finally, the paper points out the future development of the system. Conclusion: Portable life support system plays an increasingly important role in health care. In terms of the structure, function and control, further development and improvements are needed, along with the research on portable life support system.

Smart energy systems: A critical review on design and operation optimization

2020 ◽  
Vol 62 ◽  
pp. 102369 ◽  
Author(s):  
Yizhe Xu ◽  
Chengchu Yan ◽  
Huifang Liu ◽  
Jin Wang ◽  
Zhang Yang ◽  
...  
Keyword(s):  
Critical Review ◽  
Energy Systems ◽  
Operation Optimization ◽  
Smart Energy Systems

Control engineering and synthetic biology: working in synergy for the analysis and control of microbial systems

2021 ◽  
Vol 62 ◽  
pp. 68-75
Author(s):  
Giansimone Perrino ◽  
Andreas Hadjimitsis ◽  
Rodrigo Ledesma-Amaro ◽  
Guy-Bart Stan
Keyword(s):  
Synthetic Biology ◽  
Control Engineering ◽  
And Control ◽  
Microbial Systems
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