scholarly journals Optimal Design of Water Pipeline and Micro-Hydro Turbine by Genetic Algorithm

10.29007/vf78 ◽  
2018 ◽  
Author(s):  
Camillo Bosco ◽  
Giuseppe Pezzinga ◽  
Marco Sinagra ◽  
Tullio Tucciarelli
Keyword(s):  
Genetic Algorithm ◽  
Rotational Velocity ◽  
Economic Value ◽  
Cross Flow ◽  
Net Benefit ◽  
Traditional Design ◽  
Unit Energy ◽  
Hydropower Production ◽  
Water Pipeline

The economic value of the potential energy hidden in water resources is becoming more and more relevant for pipe design. In this work a new way to design drinking main waterlines, embedding also the potential hydroelectric production as pipeline benefit, is presented. The optimum design of a cross-flow turbine, on the basis of the available head jump and discharge is first outlined; the description of a genetic algorithm to minimize the total cost (pipeline plus machinery) minus the net benefit (hydropower production) is then presented. Finally, a comparison is carried out among the costs of a case study pipeline assuming a) no hydropower production and traditional design criteria and b) two different scenarios with different values of benefits per unit energy production. The two scenarios lead to hydropower production with constant impeller rotational velocity in one case and with variable impeller rotational velocity in the other one.

Human-competitive evolved antennas

2008 ◽  
Vol 22 (3) ◽  
pp. 235-247 ◽  
Author(s):  
Jason D. Lohn ◽  
Gregory S. Hornby ◽  
Derek S. Linden
Keyword(s):  
Genetic Algorithm ◽  
Evolutionary Algorithms ◽  
Genetic Programming ◽  
Development Process ◽  
Space Technology ◽  
Circularly Polarized ◽  
Similar Performance ◽  
Traditional Design ◽  
Structured Representation

AbstractWe present a case study showing a human-competitive design of an evolved antenna that was deployed on a NASA spacecraft in 2006. We were fortunate to develop our antennas in parallel with another group using traditional design methodologies. This allowed us to demonstrate that our techniques were human-competitive because our automatically designed antenna could be directly compared to a human-designed antenna. The antennas described below were evolved to meet a challenging set of mission requirements, most notably the combination of wide beamwidth for a circularly polarized wave and wide bandwidth. Two evolutionary algorithms were used in the development process: one used a genetic algorithm style representation that did not allow branching in the antenna arms; the second used a genetic programming style tree-structured representation that allowed branching in the antenna arms. The highest performance antennas from both algorithms were fabricated and tested, and both yielded very similar performance. Both antennas were comparable in performance to a hand-designed antenna produced by the antenna contractor for the mission, and so we consider them examples of human-competitive performance by evolutionary algorithms. Our design was approved for flight, and three copies of it were successfully flown on NASA's Space Technology 5 mission between March 22 and June 30, 2006. These evolved antennas represent the first evolved hardware in space and the first evolved antennas to be deployed.

scholarly journals Hybrid Seven-bar Press Mechanism

2018 ◽  
Vol 12 (3) ◽  
pp. 181-187
Author(s):  
M. Erkan Kütük ◽  
L. Canan Dülger
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Design Optimization ◽  
Hybrid System ◽  
Degrees Of Freedom ◽  
Dimensional Synthesis ◽  
Design Variables ◽  
Optimization Study ◽  
Metal Stamping

An optimization study with kinetostatic analysis is performed on hybrid seven-bar press mechanism. This study is based on previous studies performed on planar hybrid seven-bar linkage. Dimensional synthesis is performed, and optimum link lengths for the mechanism are found. Optimization study is performed by using genetic algorithm (GA). Genetic Algorithm Toolbox is used with Optimization Toolbox in MATLAB®. The design variables and the constraints are used during design optimization. The objective function is determined and eight precision points are used. A seven-bar linkage system with two degrees of freedom is chosen as an example. Metal stamping operation with a dwell is taken as the case study. Having completed optimization, the kinetostatic analysis is performed. All forces on the links and the crank torques are calculated on the hybrid system with the optimized link lengths

scholarly journals Optimized Strategic Planning of Future Norwegian Low-Voltage Networks with a Genetic Algorithm Applying Empirical Electric Vehicle Charging Data

Electricity ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 91-109
Author(s):  
Julian Wruk ◽  
Kevin Cibis ◽  
Matthias Resch ◽  
Hanne Sæle ◽  
Markus Zdrallek
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Low Voltage ◽  
Network Planning ◽  
Voltage Regulation ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact

This article outlines methods to facilitate the assessment of the impact of electric vehicle charging on distribution networks at planning stage and applies them to a case study. As network planning is becoming a more complex task, an approach to automated network planning that yields the optimal reinforcement strategy is outlined. Different reinforcement measures are weighted against each other in terms of technical feasibility and costs by applying a genetic algorithm. Traditional reinforcements as well as novel solutions including voltage regulation are considered. To account for electric vehicle charging, a method to determine the uptake in equivalent load is presented. For this, measured data of households and statistical data of electric vehicles are combined in a stochastic analysis to determine the simultaneity factors of household load including electric vehicle charging. The developed methods are applied to an exemplary case study with Norwegian low-voltage networks. Different penetration rates of electric vehicles on a development path until 2040 are considered.

scholarly journals The Social Balance Sheet as Part of the Annual Report in Financial Institutions. A Case Study: Banco Bilbao Vizcaya Argentaria (BBVA)

2021 ◽  
Vol 13 (6) ◽  
pp. 3075
Author(s):  
Miguel Ángel Martín Valmayor ◽  
Beatriz Duarte Monedero ◽  
Luis A. Gil-Alana
Keyword(s):  
Annual Report ◽  
Economic Value ◽  
Balance Sheet ◽  
Value Added ◽  
Social Value ◽  
Economic Value Added ◽  
The Social ◽  
Social Balance ◽  
Corporate Social

In this paper, we examine the concept of the social balance sheet (SBS) and its evolution in corporate social reports that large companies have to issue today in their yearly statements. The SBS allows companies to evaluate their compliance with corporate social responsibility during a specific period and quantify its level of accomplishment. From a methodological perspective, this research analyzed the information that should be contained in the SBS report comparing economic value added (EVA) with other social value added statements (SVA), analyzing also in detail the case of Spain’s Banco Bilbao Vizcaya Argentaria (BBVA) bank as one of the pioneers in offering social reports. Along with this study, their metrics following EVA were recalculated and a more academic SVA statement was proposed for this specific case.

scholarly journals Investigating the Spatial Heterogeneity and Correlation Network of Green Innovation Efficiency in China

2021 ◽  
Vol 13 (3) ◽  
pp. 1104
Author(s):  
Ke-Liang Wang ◽  
Fu-Qin Zhang
Keyword(s):  
Spatial Heterogeneity ◽  
Critical Path ◽  
Economic Value ◽  
Economic Transformation ◽  
Correlation Network ◽  
Green Innovation ◽  
Net Benefit ◽  
Network Characteristics ◽  
Four Blocks ◽  
Temporal And Spatial Characteristics

With environmental problems becoming increasingly serious worldwide, scholars’ research views on innovation have begun to pay more attention to the technological value from an ecological perspective, instead of simply analyzing the importance of technological innovation from the perspective of economic value. Currently, improving green innovation efficiency (GIE) has been considered as a critical path to realizing economic transformation and green development. Based on the global Super-Epsilon-based measure (EBM) model, Moran index, vector autoregression (VAR) model, and block model, this study investigated the temporal and spatial characteristics of GIE in 30 provinces in China from 2009 to 2017, and analyzed the spatial heterogeneity and spatial correlation network characteristics. The results showed that in spatial terms, China’s GIE presented an extremely unbalanced development model. In provinces with a higher GIE, there was an overall improvement of GIE, but there was a lower impact in provinces with a lower GIE. The efficiency of China’s green innovation could be divided into four blocks. The first block was the main overflow, the second block was the broker, the third block was the bilateral spillover, and the fourth block was the net benefit. The four blocks had their own functions, and a very significant correlation was observed among them.

scholarly journals Performance Management for Growth: A Framework Based on EVA

2021 ◽  
Vol 14 (3) ◽  
pp. 102
Author(s):  
Mihaela Brindusa Tudose ◽  
Valentina Diana Rusu ◽  
Silvia Avasilcai
Keyword(s):  
Statistical Analysis ◽  
Performance Management ◽  
Performance Appraisal ◽  
Business Performance ◽  
Reference Model ◽  
Corporate Sustainability ◽  
Economic Value ◽  
Value Added ◽  
Research Perspectives

Some of the constructs in the field of performance management are intuitive or not empirically validated. This study provides a data-driven framework for measuring and improving the performance through synchronized strategies. The ultimate goal was to provide support for increasing business performance. Empirical research materializes in an exploratory case study and a statistical analysis with econometric models. The case study revealed that a company can improve its performance, even in periods of growth, being characterized by consistent investments. The statistical analysis, performed on a restricted sample of companies, confirmed the results that were provided by the case study. The measurement of performance was made by capitalizing on financial and non-financial data precisely to intensify the interest for corporate sustainability. The obtained results, contrary to previous research that showed that economic value added (EVA) is negatively influenced by the increase in invested capital, open up new research perspectives to find out whether, at the industry level, performance appraisal that is based on EVA stimulates the development of a business’s economic capital. The research has a double utility: scientific (by providing an overview of the state of the art in the field of performance management) and practical (by providing a reference model for measuring and monitoring performance).

Design and Evaluation of Usable Systems

2002 ◽  
Vol 46 (3) ◽  
pp. 367-371
Author(s):  
John F. McGrew
Keyword(s):  
Genetic Algorithm ◽  
Change Management ◽  
Management System ◽  
Design Method ◽  
The Other ◽  
Design Team ◽  
Style Analysis ◽  
Decision Style ◽  
Parallel Design

This paper discusses a case study of a design and evaluation of a change management system at a large Telecommunications Corporation. The design and evaluation were done using the facilitated genetic algorithm (a parallel design method) and user decision style analysis. During the facilitated genetic algorithm the design team followed the procedure of the genetic algorithm. Usability was evaluated by applying user decision style analysis to the designed system. The design is compared with an existing system and with one designed by an analyst. The change management system designed by the facilitated genetic algorithm took less time to design and decision style analysis indicated it would be easier to use than the other two systems.

scholarly journals BRINGING SYSTEMIC DESIGN IN THE EDUCATIONAL PRACTICE: THE CASE OF GENDER EQUALITY IN AN ACADEMIC CONTEXT

2021 ◽  
Vol 1 ◽  
pp. 581-590
Author(s):  
Alexis JP Jacoby ◽  
Kristel Van Ael
Keyword(s):  
Gender Inequality ◽  
Design Education ◽  
Educational Practice ◽  
Design Approach ◽  
Academic Context ◽  
Traditional Design ◽  
Systemic Problems ◽  
Societal Problems ◽  
Systemic Design

AbstractThe field of design practice and design education is reaching out to address problems that cannot be solved by introducing a single product or service. Complex societal problems such as gender inequality cannot be solved using a traditional problem-solving oriented design approach. The specific characteristics of these problems require new ways of dealing with the dynamics, scale and complexity of the problem.Systemic design is a design approach integrating systems thinking in combination with more traditional design methodologies, addressing complex and systemic problems. This paper reports a systemic design approach in an educational context for the case of academic gender inequality. We show the way the problem was addressed and how design students were invited to take a systemic perspective, provide integrated interventions and take first steps in providing instruments for implementation. We conclude with the learnings from this case study, both on the process and the results.

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