scholarly journals The Life Cycle Performance Assessment (LCPA) Methodology

2021 ◽  
pp. 81-96
Author(s):  
Reinhard Ahlers
Keyword(s):  
Life Cycle ◽  
Performance Assessment ◽  
Mobile Phones ◽  
Business Models ◽  
Electronic Waste ◽  
Cycle Performance ◽  
New Materials ◽  
Logistic Chain ◽  
Efficient Recovery ◽  
Future Business

AbstractThe FENIX project has started to develop future business models for the efficient recovery of secondary resources. It would not be enough just to improve business models based on traditional linear approaches. Rather, new approaches must be developed with a particular focus on environmental and climate changes. Electronic scrap is no longer scrap, but must be seen as valuable material. Using the mobile phone as an example, FENIX has developed technologies to get recyclable materials out of scrapped mobile phones and to process them into new materials and final products. The developed technological approaches are not limited to mobile phones, but can be used for all types of electronic waste. FENIX has only focused on the logistic chain from the dismantling of the cell phones to the manufacturing of new materials and products (recycling chain). This, of course, involves a lot of effort in dismantling the e-waste, as the recycling process was not yet considered when developing the products currently on the market. Such eco-design approaches would certainly reduce the disassembly effort in the future. FENIX business models should not only be based on economic success but also consider ecological effects at the same time. Therefore, an accompanying Life Cycle Performance Assessment (LCPA) has been carried out to prove the advantages of the developed business models. From the interim assessment, recommendations for further technical development directions were repeatedly given to achieve the best possible economic and ecological solutions.

scholarly journals Life Cycle Performance Assessment Tool Development and Application with a Focus on Maintenance Aspects

2019 ◽  
Vol 7 (8) ◽  
pp. 280 ◽  
Author(s):  
Paola Gualeni ◽  
Giordano Flore ◽  
Matteo Maggioncalda ◽  
Giorgia Marsano
Keyword(s):  
Life Cycle ◽  
Performance Assessment ◽  
Integrated Design ◽  
Selection Criterion ◽  
Design Approach ◽  
Cycle Performance ◽  
Design Stage ◽  
Design Solution ◽  
Technical Solution ◽  
Design Solutions

Ships are among the most complex systems in the world. The always increasing interest in environmental aspects, the evolution of technologies and the introduction of new rule constraints in the maritime field have compelled the innovation of the ship design approach. At an early design stage, there is the need to compare different design solutions, also in terms of environmental performance, building and operative costs over the whole ship life cycle. In this context, the Life Cycle Performance Assessment (LCPA) tool allows an integrated design approach merging the evaluation of both costs and environmental performances on a comparative basis, among different design solutions. Starting from the first tool release, this work aims to focus on the maintenance of the propulsion system, developing a flexible calculation method for maintenance costs prediction, based on the ship operational profiles and the selected technical solution. After the improvement, the whole LCPA tool has been applied on a research vessel to evaluate, among different propulsion layout solutions, the one with the more advantageous performance in terms of costs during the whole vessel operating life. The identification of the best design solution is strictly dependent on the selection criterion and the point of view of the interested parties using the LCPA tool, e.g., the shipbuilder or the ship-owner.

Building a Database for Life Cycle Performance Assessment of Water and Wastewater Rehabilitation Technologies

2015 ◽  
Vol 2015 (1) ◽  
pp. 1-12
Author(s):  
Shaurav Alam ◽  
Erez Allouche ◽  
Ray Sterling ◽  
Wendy Condit ◽  
John Matthews ◽  
...  
Keyword(s):  
Life Cycle ◽  
Performance Assessment ◽  
Cycle Performance ◽  
Water And Wastewater

scholarly journals Dynamic energy modelling for ship life-cycle performance assessment

2015 ◽  
Vol 110 ◽  
pp. 49-61 ◽  
Author(s):  
Jakub Cichowicz ◽  
Gerasimos Theotokatos ◽  
Dracos Vassalos
Keyword(s):  
Life Cycle ◽  
Performance Assessment ◽  
Cycle Performance ◽  
Energy Modelling

Life Cycle Performance Assessment - Method and Tool for Decision Makers

2015 ◽  
Author(s):  
M Lehne ◽  
◽  
C Norden ◽  
S West ◽  
R Nagel ◽  
...  
Keyword(s):  
Life Cycle ◽  
Performance Assessment ◽  
Assessment Method ◽  
Decision Makers ◽  
Cycle Performance

scholarly journals Life-Cycle Performance Assessment and Distress Prediction of Subgrade Based on an Analytic Hierarchy Process and the PSO–LSSVM Model

2020 ◽  
Vol 10 (21) ◽  
pp. 7529 ◽  
Author(s):  
Qi Li ◽  
Yimin Wang ◽  
Kunbiao Zhang ◽  
Zhiyuan Cheng ◽  
Ziyu Tao
Keyword(s):  
Life Cycle ◽  
Analytic Hierarchy Process ◽  
Performance Assessment ◽  
Cycle Performance ◽  
Support Vector ◽  
Analytic Hierarchy ◽  
Geological Conditions ◽  
Internal And External Factors ◽  
Whole Life Cycle ◽  
Hierarchy Process

The subgrade performance assessment and targeted maintenance of a highway during operation is very important and challenging. This paper focuses on the performance of the whole life-cycle of a highway subgrade during the operational period. Four roads with different traffic volume and geological conditions were selected; 20 test sections of these 4 roads were examined for a three-year distress survey, and 18 specific subgrade distresses of the 5 assessment objects were tracked and collected. First, based on the analytic hierarchy process (AHP), the subgrade performance of the selected section is evaluated, and the subgrade performance index (SPI) at different time periods is obtained. Then, based on the internal and external factors which affect the subgrade, three algorithms to determine the optimal support vector machine (SVM) model were proposed to train and predict the SPI. The results show that the SPI predicted results based on the data time series and particle swarm optimization–least squares SVM (PSO–LSSVM) model are better than those based on grid search (Grid-SVM) and genetic algorithm (GA-SVM) models. Finally, this paper provides a detailed idea for the rational layout of subgrade life-cycle assessment and decision-making by establishing a subgrade performance assessment–prediction–maintenance–management architecture system.

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