scholarly journals Comparison of Cycle Reduction and Model Reduction Strategies for the Design Optimization of Hybrid Powertrains on Driving Cycles

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 948
Author(s):  
Adham Kaloun ◽  
Stéphane Brisset ◽  
Maxime Ogier ◽  
Mariam Ahmed ◽  
Robin Vincent

Decision-making is a crucial and difficult step in the design process of complex systems such as the hybrid powertrain. Finding an optimal solution requires the system feedback. This can be, depending on the granularity of the models at the component level, highly time-consuming. This is even more true when the system’s performance is determined by its control. In fact, various possibilities can be selected to deliver the required torque to the wheels during a driving cycle. In this work, two different design strategies are proposed to minimize the fuel consumption and the cost of the hybrid powertrain. Both strategies adopt the iterative framework which allows for the separation of the powertrain design problem and its control while leading to system optimality. The first approach is based on model reduction, while the second approach relies on improved cycle reduction techniques. They are then applied to a parallel hybrid vehicle case study, leading to important cost reduction in reasonable delays and are compared using different metrics.

2011 ◽  
Vol 11 (1) ◽  
pp. 5 ◽  
Author(s):  
Julia Martín-Ortega

<div data-canvas-width="384.0285749792544">Information on the cost of adaptation in freshwater systems is necessary to better design strategies to face climate change and water management. We look at the existing estimates with the aim of identifying research gaps. Our analysis shows that case study-specific literature is scarce, fragmented, and not always methodologically transparent. At the same time, most existing global assessments are likely to represent underestimates and rely heavily on each other. We conclude that a clear conceptual framework is still missing. Remaining research gaps include addressing inter-sector linkages and estimations of other than only direct costs, in addition to addressing the issues of ‘adaptation deficit’ and ‘residual damage’.</div>


2017 ◽  
Vol 11 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Antonio Ferreira-Sánchez ◽  
Madelyn Marrero

Eco-efficient rehabilitation of buildings and neighbourhoods should include strategies to reduce the potential environmental impact of buildings under consideration for demolishment. In this case, good construction and demolition (C&D) waste management can represent a doubly eco-efficient approach: advantage is taken of much of the building and the volume of waste is reduced during construction and demolition work. Construction and demolition waste management in emergency situations is a subject yet to be studied in the construction sector. This kind of work, although not very common, involves major building damages and the need for punctual, partial or total demolitions. The amount of C&D waste can be a major problem to deal with, and its management during the critical first phases can determinate the progress of the rehabilitation. Conditioned by a greater number of factors than normal construction works, the lack of time for the identification, quantification, and evaluation of C&D waste renders this type of extremely useful study. In this work, from the case study of the emergency repair of a residential building of 40 dwellings in Seville (Spain) seriously affected by a soil displacement, Generated C&D waste are identified and the waste reduction techniques used are shown. These techniques contributed to achieve the planned objectives and to control in advance the cost. Finally, the most important data, C&D waste quantification and the managing cost are presented in order to serve as reference for similar circumstances in the future because there areno clear references to be used.


Author(s):  
Sada Abdalkhaliq Hasan

In this research the best cost and time are identified to implement a multi-level car park. The aim of this research is to develop a time frame model, including time and cost analysis, and to find optimal alternatives for a multi-level garage project during the planning phase. The proposed model has been developed using Solver program in Excel built for combining cost and time calculations by adopting the Project Management Software (MS-Project) to facilitate optimal solution access. In future the same project can be implemented at the lowest possible cost. This research concluded that it is possible to obtain the optimal solution after analyzing the alternatives using the Solver program and then taking the results of the optimization process to perform the improvement of the timeline. The research highlights the factors such as: the estimated cost, the planned time and the alternatives available for optimum performance aimed at finding optimal solutions and thus enhancing overall performance. The research was applied to the case study of one of the projects implemented within the city and found that the results are consistent with the research objective. According application of the model, the solution shows it will reduce cost and time to about 190292 $ and 91day from the cost and time of actual project.


Author(s):  
Simona Barsan ◽  
Mihaela Sima

The paper presents the optimizing procedure of the product range manufactured by a company which operates in the area of production and sales of the milling and bakery products. The paper authors have taken this company as an example since the products it manufactures and commercializes address to population and are required to meet both qualitative and quantitative market requirements. After a brief overview of the company, one analyses its production capacity, staff structure and distribution as well as the concern of the company for the employees’ training in its activity field, so as to fulfill all the necessary and required conditions for developing a qualitative activity. The analysis continues with: the cost of the product before optimization, software presentation and computerized optimization procedure, the selection of the products to be optimized, data collection, the optimization procedure, results obtaining and analysis, choosing the optimal solution for the analyzed products analysis and for the future competitiveness of the company.


2014 ◽  
Vol 12 (1) ◽  
pp. 25 ◽  
Author(s):  
Sung Kim ◽  
Anni-Maria Pulkki-Brannstrom ◽  
Jolene Skordis-Worrall

2020 ◽  
Vol 8 (6) ◽  
pp. 1283-1290

In past few decades, manufacturing industry has been trying to achieve the high quality customized products in the flexible batches. Moreover due to the dynamic demand of market, the product lifecycle and flexibility is one of the major concern and Reconfiguration Manufacturing System is one of the discovery that matches these criteria such as flexibility, reliability and others, the main advantage of RMS is its adoptability to cope up with change in software and hardware configuration for adjusting the promptly. Hence in this paper we have proposed a optimized RMS , the main objective is to reduce the cost of the configuration through task scheduling, we propose Evolutionary algorithm based approach for configuration, moreover here we find the optimal solution through utilizing the machine over the operation set for each machine part, later we find the optimal from the probable assignment. In order to evaluate the algorithm we have performed the case study, a case study shows that Evolutionary algorithm based approach achieves the optimum solution when compared to the existing.


2012 ◽  
Vol 433-440 ◽  
pp. 2178-2183
Author(s):  
Hamid Reza Moheghi ◽  
Hamid Mashhadi Moghadam ◽  
Sara Motevali

Material cost decrease is an important issue for industrial factories. Operations Research is considered as a proper means for this purpose. A steel production company as a case study is presented in this paper. The combination of raw material is important in steel production. In the company raw materials are mixed experimentally without attention to cost minimization. After considering the process of steel production, a mix model is determined as a proper model for lowering the cost of production in the company. At first, we study the mix problem. Then, we deal with the quantities of the model parameters as well as a mathematical modeling based on the proper constraints. Finally, the solution to the mathematical model is created by a software .The model solution shows that the proposed optimal solution leads to cost minimization significantly.


2020 ◽  
Vol 5 (1) ◽  
pp. 456
Author(s):  
Tolulope Latunde ◽  
Joseph Oluwaseun Richard ◽  
Opeyemi Odunayo Esan ◽  
Damilola Deborah Dare

For twenty decades, there is a visible ever forward advancement in the technology of mobility, vehicles and transportation system in general. However, there is no "cure-all" remedy ideal enough to solve all life problems but mathematics has proven that if the problem can be determined, it is most likely solvable. New methods and applications will keep coming to making sure that life problems will be solved faster and easier. This study is to adopt a mathematical transportation problem in the Coca-Cola company aiming to help the logistics department manager of the Asejire and Ikeja plant to decide on how to distribute demand by the customers and at the same time, minimize the cost of transportation. Here, different algorithms are used and compared to generate an optimal solution, namely; North West Corner Method (NWC), Least Cost Method (LCM) and Vogel’s Approximation Method (VAM). The transportation model type in this work is the Linear Programming as the problems are represented in tables and results are compared with the result obtained on Maple 18 software. The study shows various ways in which the initial basic feasible solutions to the problem can be obtained where the best method that saves the highest percentage of transportation cost with for this problem is the NWC. The NWC produces the optimal transportation cost which is 517,040 units.


2020 ◽  
Vol 4 (02) ◽  
pp. 34-45
Author(s):  
Naufal Dzikri Afifi ◽  
Ika Arum Puspita ◽  
Mohammad Deni Akbar

Shift to The Front II Komplek Sukamukti Banjaran Project is one of the projects implemented by one of the companies engaged in telecommunications. In its implementation, each project including Shift to The Front II Komplek Sukamukti Banjaran has a time limit specified in the contract. Project scheduling is an important role in predicting both the cost and time in a project. Every project should be able to complete the project before or just in the time specified in the contract. Delay in a project can be anticipated by accelerating the duration of completion by using the crashing method with the application of linear programming. Linear programming will help iteration in the calculation of crashing because if linear programming not used, iteration will be repeated. The objective function in this scheduling is to minimize the cost. This study aims to find a trade-off between the costs and the minimum time expected to complete this project. The acceleration of the duration of this study was carried out using the addition of 4 hours of overtime work, 3 hours of overtime work, 2 hours of overtime work, and 1 hour of overtime work. The normal time for this project is 35 days with a service fee of Rp. 52,335,690. From the results of the crashing analysis, the alternative chosen is to add 1 hour of overtime to 34 days with a total service cost of Rp. 52,375,492. This acceleration will affect the entire project because there are 33 different locations worked on Shift to The Front II and if all these locations can be accelerated then the duration of completion of the entire project will be effective


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