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Journal articles on the topic 'Dynamic Life Cycle Assessments'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Bixler, Taler S., James Houle, Thomas Ballestero, and Weiwei Mo. "A dynamic life cycle assessment of green infrastructures." Science of The Total Environment 692 (November 2019): 1146–54. http://dx.doi.org/10.1016/j.scitotenv.2019.07.345.

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2

Jayathissa, P., M. Jansen, N. Heeren, Z. Nagy, and A. Schlueter. "Life cycle assessment of dynamic building integrated photovoltaics." Solar Energy Materials and Solar Cells 156 (November 2016): 75–82. http://dx.doi.org/10.1016/j.solmat.2016.04.017.

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3

Sohn, Joshua, Pradip Kalbar, Benjamin Goldstein, and Morten Birkved. "Defining Temporally Dynamic Life Cycle Assessment: A Review." Integrated Environmental Assessment and Management 16, no. 3 (January 30, 2020): 314–23. http://dx.doi.org/10.1002/ieam.4235.

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4

Su, Shu, Jingyi Ju, Yujie Ding, Jingfeng Yuan, and Peng Cui. "A Comprehensive Dynamic Life Cycle Assessment Model: Considering Temporally and Spatially Dependent Variations." International Journal of Environmental Research and Public Health 19, no. 21 (October 27, 2022): 14000. http://dx.doi.org/10.3390/ijerph192114000.

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Life cycle assessment (LCA) is a widely-used international environmental evaluation and management method. However, the conventional LCA is in a static context without temporal and spatial variations considered, which fails to bring accurate evaluation values and hinders practical applications. Dynamic LCA research has developed vigorously in the past decade and become a hot topic. However, systematical analysis of spatiotemporal dynamic variations and comprehensive operable dynamic models are still lacking. This study follows LCA paradigm and incorporates time- and space-dependent variations to establish a spatiotemporal dynamic LCA model. The dynamic changes are classified into four types: dynamic foreground elementary flows, dynamic background system, dynamic characterization factors, and dynamic weighting factors. Their potential dynamics and possible quantification methods are analyzed. The dynamic LCA model is applied to a residential building, and significant differences can be observed between dynamic and static assessment results from both temporal and spatial perspectives. This study makes a theoretical contribution by establishing a comprehensive dynamic model with both temporal and spatial variations involved. It is expected to provide practical values for LCA practitioners and help with decision-making and environmental management.

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5

Dyckhoff, Harald, and Tarek Kasah. "Time Horizon and Dominance in Dynamic Life Cycle Assessment." Journal of Industrial Ecology 18, no. 6 (April 10, 2014): 799–808. http://dx.doi.org/10.1111/jiec.12131.

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6

Cichowicz, Jakub, Gerasimos Theotokatos, and Dracos Vassalos. "Dynamic energy modelling for ship life-cycle performance assessment." Ocean Engineering 110 (December 2015): 49–61. http://dx.doi.org/10.1016/j.oceaneng.2015.05.041.

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7

Asdrubali, F., P. Baggio, A. Prada, G. Grazieschi, and C. Guattari. "Dynamic life cycle assessment modelling of a NZEB building." Energy 191 (January 2020): 116489. http://dx.doi.org/10.1016/j.energy.2019.116489.

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8

Pehnt, Martin. "Dynamic life cycle assessment (LCA) of renewable energy technologies." Renewable Energy 31, no. 1 (January 2006): 55–71. http://dx.doi.org/10.1016/j.renene.2005.03.002.

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9

White, Robin R. "198 Beef cattle support system modeling." Journal of Animal Science 98, Supplement_2 (November 1, 2020): 68–69. http://dx.doi.org/10.1093/jas/skz397.160.

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Abstract A model is a tool used to study the dynamics of a system when investigations on the system itself are difficult because of scope, scale, sensitivity, or other complexities. Beef cattle production in the United States is at least a 2- to 4-phase process, consisting of economic, social, environmental, and biological relationships. As such, modeling is a logical strategy to handle many research questions focused on systems responses of beef cattle production systems. There are a number of modeling tools that can be used to research beef cattle production settings, including but not limited to: nutrient requirement models, pasture models, farm system models, and life cycle assessments. Life cycle assessments are the broadest category of models and typically fall under the umbrella of static, deterministic, empirical models that encompass the entirety of the beef production system from manufacture of the inputs through production of the outputs. There are a number of life cycle assessments of beef cattle production systems and comparison of the outcome of these models is a strategy to discern how changes in one aspect of the production system affect all downstream processes. Farm system models can assess an individual economic enterprise or an entirety of a beef production system and typically are dynamic, mechanistic models of the interactions between cattle and their external environments. Several researchers have also established deterministic, empirical farm system models, or hybrids of these two model types. Pasture models can be independent of or tightly linked with farm system models. Most pasture models are dynamic, mechanistic models; however, deterministic, empirical models also exist. Pasture models typically seek to model plant/soil/water interactions. Finally, animal response models and nutrient requirement models can be used to represent animal/feed/management interactions. These models can be dynamic or static, deterministic or mechanistic.

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10

Su, Shu, Huan Zhang, Jian Zuo, Xiaodong Li, and Jingfeng Yuan. "Assessment models and dynamic variables for dynamic life cycle assessment of buildings: a review." Environmental Science and Pollution Research 28, no. 21 (March 30, 2021): 26199–214. http://dx.doi.org/10.1007/s11356-021-13614-1.

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11

Su, Shu, Xiaodong Li, and Yimin Zhu. "Dynamic assessment elements and their prospective solutions in dynamic life cycle assessment of buildings." Building and Environment 158 (July 2019): 248–59. http://dx.doi.org/10.1016/j.buildenv.2019.05.008.

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12

Wu, Susie R., and Defne Apul. "FRAMEWORK FOR INTEGRATING INDOOR AIR QUALITY IMPACTS INTO LIFE CYCLE ASSESSMENTS OF BUILDINGS AND BUILDING RELATED PRODUCTS." Journal of Green Building 10, no. 1 (April 2015): 127–49. http://dx.doi.org/10.3992/jgb.10.1.127.

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Products used during construction and operation of a building can contribute to Indoor Air Quality (IAQ) problems that affect occupants' well-being. However, IAQ is conventionally not addressed in the life cycle assessments (LCAs) of buildings and building related products even though IAQ leads to one of the areas of protection under LCA - human health impacts. In this study, we proposed an overall framework for integrating IAQ into LCA using the standard steps of LCA. The framework focused on IAQ and LCA modeling from two categories of building related products: i) passive products that realize their function through initial installation and have long-term decayed emissions, and ii) active equipment that realize their function and cause emissions through daily operation. Dynamic and static life cycle inventory modeling approaches were proposed for passive products and active equipment, respectively. An indoor intake fraction equation and USEtox model effect factors were incorporated into the life cycle impact assessment. Three hypothetical examples were presented to illustrate the calculation procedure of the framework. We concluded that it was feasible to integrate IAQ into building related LCA studies. Development of IAQ related impact assessment methodologies can improve upon the limitations of this study. Further studies need to be carried out to compare the health impacts from IAQ related sources to other life cycle stages of building related products.

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13

Marmiroli, Benedetta, Giovanni Dotelli, and Ezio Spessa. "Life Cycle Assessment of an On-Road Dynamic Charging Infrastructure." Applied Sciences 9, no. 15 (August 1, 2019): 3117. http://dx.doi.org/10.3390/app9153117.

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On road dynamic charging represents a possible solution for the electrification of the transport sector and eventually, for its decarbonisation. However, only a few studies have evaluated the environmental impact of this technology. A detailed life cycle assessment (LCA) of charging infrastructure is missing. This study is a life cycle assessment of the construction and maintenance of an electrified road (e-road) equipped with dynamic wireless power transfer technology (DWPT). The data from an e-road tested in a test site in Susa (Italy) have been adapted for motorway applications. The results show the relevance of wireless power transfer components compared to traditional components and materials. The wireless power transfer (WPT) component production in fact accounts for more than 70% of the impacts in the climate change category, even though it represents less than 1% weight. Maintenance is the phase with the highest impact due to the structural features of the e-road. However, there is considerable uncertainty about this value which still requires further refinement when more data from e-road monitoring are available.

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14

Vieira, Victor Hugo Argentino de Morais, and Dácio Roberto Matheus. "Environmental assessments of biological treatments of biowaste in life cycle perspective: A critical review." Waste Management & Research 37, no. 12 (October 18, 2019): 1183–98. http://dx.doi.org/10.1177/0734242x19879222.

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Municipal biowaste is a major environmental issue. Life-cycle assessment is a valuable tool to assess recycling options, and anaerobic digestion and composting have performed adequately. However, reviews indicate several discrepancies between studies. Thus, we critically review 25 life-cycle assessments of the composting and anaerobic digestion of municipal biowaste. Our objective is to identify decisive factors, methodological gaps and processes that affect environmental performance. We generally identified methodological gaps in expanding systems borders. In energy systems, the replaced energy source did not consider power generation or dynamic regulation. All studies adopted mixed energy sources or marginal approaches. Agroecosystems included the carbon sequestration potential and compensation for the production of synthetic fertilizers only. A limited range of scientifically proven benefits of compost use has been reported. In general, studies provided a limited account of the effects of use on land emissions, but contradictory assumptions emerged, mainly in modelling synthetic fertilizer compensation. Only three studies compensated direct emissions from the use of synthetic fertilizers, and none included indirect emissions. Further studies should include an analysis of the additional benefits of compost use, compensate for the effects of emissions from synthetic fertilizer use on land and mix attributional and consequential approaches in energy system expansion.

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15

Odhengo, P. O., M. Sagisaka, and H. Yaguta. "Energy and technology assessment by using socio-dynamic life cycle assessment tool." International Journal of Life Cycle Assessment 7, no. 3 (May 2002): 186. http://dx.doi.org/10.1007/bf02994073.

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16

Van de moortel, Els, Karen Allacker, Frank De Troyer, Erik Schoofs, and Luc Stijnen. "Dynamic Versus Static Life Cycle Assessment of Energy Renovation for Residential Buildings." Sustainability 14, no. 11 (June 2, 2022): 6838. http://dx.doi.org/10.3390/su14116838.

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Currently, a life cycle assessment is mostly used in a static way to assess the environmental impacts of the energy renovation of buildings. However, various aspects of energy renovation vary in time. This paper reports the development of a framework for a dynamic life cycle assessment and its application to assess the energy renovation of buildings. To investigate whether a dynamic approach leads to different decisions than a static approach, several renovation options of a residential house were compared. To identify the main drivers of the impact and to support decision-making for renovation, a shift of the reference study period—as defined in EN 15643-1 and EN 15978—is proposed (from construction to renovation). Interventions related to the energy renovation are modelled as current events, while interventions and processes that happen afterwards are modelled as future events, including dynamic parameters, considering changes in the operational energy use, changes in the energy mix, and future (cleaner) production processes. For a specific case study building, the dynamic approach resulted in a lower environmental impact than the static approach. However, the dynamic approach did not result in other renovation recommendations, except when a dynamic parameter for electricity production was included.

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17

Cardellini, Giuseppe, Christopher L. Mutel, Estelle Vial, and Bart Muys. "Temporalis, a generic method and tool for dynamic Life Cycle Assessment." Science of The Total Environment 645 (December 2018): 585–95. http://dx.doi.org/10.1016/j.scitotenv.2018.07.044.

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18

Collinge, William O., Amy E. Landis, Alex K. Jones, Laura A. Schaefer, and Melissa M. Bilec. "Dynamic life cycle assessment: framework and application to an institutional building." International Journal of Life Cycle Assessment 18, no. 3 (November 24, 2012): 538–52. http://dx.doi.org/10.1007/s11367-012-0528-2.

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19

Levasseur, Annie, Pascal Lesage, Manuele Margni, and Réjean Samson. "Biogenic Carbon and Temporary Storage Addressed with Dynamic Life Cycle Assessment." Journal of Industrial Ecology 17, no. 1 (July 27, 2012): 117–28. http://dx.doi.org/10.1111/j.1530-9290.2012.00503.x.

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20

Miller, Shelie A., Stephen Moysey, Benjamin Sharp, and Jose Alfaro. "A Stochastic Approach to Model Dynamic Systems in Life Cycle Assessment." Journal of Industrial Ecology 17, no. 3 (October 26, 2012): 352–62. http://dx.doi.org/10.1111/j.1530-9290.2012.00531.x.

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21

Negishi, Koji, Ligia Tiruta-Barna, Nicoleta Schiopu, Alexandra Lebert, and Jacques Chevalier. "An operational methodology for applying dynamic Life Cycle Assessment to buildings." Building and Environment 144 (October 2018): 611–21. http://dx.doi.org/10.1016/j.buildenv.2018.09.005.

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22

Pannier, Marie-Lise, Thomas Remoué, and David Bigaud. "Stochastic comparative LCA of smart buildings." E3S Web of Conferences 349 (2022): 04012. http://dx.doi.org/10.1051/e3sconf/202234904012.

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Driven by the energy and digital transitions, the concept of smart buildings is gaining importance. In most cases, these buildings are designed with the aim of reducing the consumption of energy resources during the operation phase, while improving the occupants’ comfort and safety. However, smart sensors and actuators themselves have impacts on other environmental indicators and life cycle stages. In this work, the environmental performances of a smart multifamily house and of a standard one are compared using both dynamic building energy simulations and life cycle assessments (LCA). Two insulation levels are possible for the building and the alternatives’ comparison includes uncertainties and variabilities related to occupancy. It turns out that smart building has less impacts than conventional one over their entire life cycle, but their benefit decreases when the level of insulation increases.

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23

Cornago, Simone, Yee Shee Tan, Carlo Brondi, Seeram Ramakrishna, and Jonathan Sze Choong Low. "Systematic Literature Review on Dynamic Life Cycle Inventory: Towards Industry 4.0 Applications." Sustainability 14, no. 11 (May 25, 2022): 6464. http://dx.doi.org/10.3390/su14116464.

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Life cycle assessment (LCA) is a well-established methodology to quantify the environmental impacts of products, processes, and services. An advanced branch of this methodology, dynamic LCA, is increasingly used to reflect the variation in such potential impacts over time. The most common form of dynamic LCA focuses on the dynamism of the life cycle inventory (LCI) phase, which can be enabled by digital models or sensors for a continuous data collection. We adopt a systematic literature review with the aim to support practitioners looking to apply dynamic LCI, particularly in Industry 4.0 applications. We select 67 publications related to dynamic LCI studies to analyze their goal and scope phase and how the dynamic element is integrated in the studies. We describe and discuss methods and applications for dynamic LCI, particularly those involving continuous data collection. Electricity consumption and/or electricity technology mixes are the most used dynamic components in the LCI, with 39 publications in total. This interest can be explained by variability over time and the relevance of electricity consumption as a driver of environmental impacts. Finally, we highlight eight research gaps that, when successfully addressed, could benefit the diffusion and development of sound dynamic LCI studies.

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24

Schelte, Nora, Semih Severengiz, Jaron Schünemann, Sebastian Finke, Oskar Bauer, and Matthias Metzen. "Life Cycle Assessment on Electric Moped Scooter Sharing." Sustainability 13, no. 15 (July 25, 2021): 8297. http://dx.doi.org/10.3390/su13158297.

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Due to their small size and low energy demand, light electric vehicles (LEVs), such as electric moped scooters, are considered as a space efficient and eco-friendly alternative for mobility in cities. However, the growth of electric moped scooter sharing services raises the question of how environmentally friendly this business model is, considering the entire lifecycle. Due to the dynamic market and insufficient availability of public data on the business processes of sharing services only a few studies on the impact of shared electric mopeds are available. Especially there is a lack of research on the impacts of key operational logistic parameters of the sharing system. This paper aims to fill this gap by conducting a life cycle assessment using the example of an electric moped scooter manufactured and used in sharing services in Germany, based on different operating scenarios. The results show that e-moped sharing has a similar environmental impact on global warming potential, in terms of passenger kilometers, as public transport, especially if long product lifetimes as well as efficient operation logistics are realized.

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25

Ferrari, Anna Maria, Lucrezia Volpi, Davide Settembre-Blundo, and Fernando E. García-Muiña. "Dynamic life cycle assessment (LCA) integrating life cycle inventory (LCI) and Enterprise resource planning (ERP) in an industry 4.0 environment." Journal of Cleaner Production 286 (March 2021): 125314. http://dx.doi.org/10.1016/j.jclepro.2020.125314.

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26

Filleti, Remo A. P., Diogo A. L. Silva, Eraldo J. Silva, and Aldo R. Ometto. "Dynamic System for Life Cycle Inventory and Impact Assessment of Manufacturing Processes." Procedia CIRP 15 (2014): 531–36. http://dx.doi.org/10.1016/j.procir.2014.06.024.

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27

Horup, L., M. Reymann, JT Rørbech, M. Ryberg, and M. Birkved. "Partially dynamic life cycle assessment of windows indicates potential thermal over-optimization." IOP Conference Series: Earth and Environmental Science 323 (September 6, 2019): 012152. http://dx.doi.org/10.1088/1755-1315/323/1/012152.

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28

Ren, Mingcheng, Clayton R. Mitchell, and Weiwei Mo. "Dynamic life cycle economic and environmental assessment of residential solar photovoltaic systems." Science of The Total Environment 722 (June 2020): 137932. http://dx.doi.org/10.1016/j.scitotenv.2020.137932.

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29

Santamaria, Belen Moreno, Fernando del Ama Gonzalo, Matthew Griffin, Benito Lauret Aguirregabiria, and Juan A. Hernandez Ramos. "Life Cycle Assessment of Dynamic Water Flow Glazing Envelopes: A Case Study with Real Test Facilities." Energies 14, no. 8 (April 14, 2021): 2195. http://dx.doi.org/10.3390/en14082195.

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High initial costs hinder innovative technologies for building envelopes. Life Cycle Assessment (LCA) should consider energy savings to show relevant economic benefits and potential to reduce energy consumption and CO2 emissions. Life Cycle Cost (LCC) and Life Cycle Energy (LCE) should focus on investment, operation, maintenance, dismantling, disposal, and/or recycling for the building. This study compares the LCC and LCE analysis of Water Flow Glazing (WFG) envelopes with traditional double and triple glazing facades. The assessment considers initial, operational, and disposal costs and energy consumption as well as different energy systems for heating and cooling. Real prototypes have been built in two different locations to record real-world data of yearly operational energy. WFG systems consistently showed a higher initial investment than traditional glazing. The final Life Cycle Cost analysis demonstrates that WFG systems are better over the operation phase only when it is compared with a traditional double-glazing. However, a Life Cycle Energy assessment over 50 years concluded that energy savings between 36% and 66% and CO2 emissions reduction between 30% and 70% could be achieved.

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30

Dominguez-Delgado, Antonio, Helena Domínguez-Torres, and Carlos-Antonio Domínguez-Torres. "Energy and Economic Life Cycle Assessment of Cool Roofs Applied to the Refurbishment of Social Housing in Southern Spain." Sustainability 12, no. 14 (July 12, 2020): 5602. http://dx.doi.org/10.3390/su12145602.

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Energy refurbishment of the housing stock is needed in order to reduce energy consumption and meet global climate goals. This is even more necessary for social housing built in Spain in the middle of the last century since its obsolete energy conditions lead to situations of indoor thermal discomfort and energy poverty. The present study carries out a life cycle assessment of the energy and economic performance of roofs after being retrofitted to become cool roofs for the promotion of social housing in Seville (Spain). Dynamic simulations are made in which the time dependent aging effect on the energy performance of the refurbished cool roofs is included for the whole lifespan. The influence of the time dependent aging effect on the results of the life cycle economic analysis is also assessed. A variety of scenarios are considered in order to account for the aging effect in the energy performance of the retrofitted cool roofs and its incidence while considering different energy prices and monetary discount rates on the life cycle assessment. This is made through a dynamic life cycle assessment in order to capture the impact of the aging dynamic behavior correctly. Results point out significant savings in the operational energy. However, important differences are found in the economic savings when the life cycle analysis is carried out since the source of energy and the efficiency of the equipment used for conditioning strongly impact the economic results.

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31

Lan, Kai, and Yuan Yao. "Dynamic Life Cycle Assessment of Energy Technologies under Different Greenhouse Gas Concentration Pathways." Environmental Science & Technology 56, no. 2 (December 6, 2021): 1395–404. http://dx.doi.org/10.1021/acs.est.1c05923.

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32

Collinge, William O., Amy E. Landis, Alex K. Jones, Laura A. Schaefer, and Melissa M. Bilec. "Erratum to: Dynamic life cycle assessment: framework and application to an institutional building." International Journal of Life Cycle Assessment 18, no. 3 (January 23, 2013): 745–46. http://dx.doi.org/10.1007/s11367-012-0543-3.

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33

Arbault, Damien, Mylène Rivière, Benedetto Rugani, Enrico Benetto, and Ligia Tiruta-Barna. "Integrated earth system dynamic modeling for life cycle impact assessment of ecosystem services." Science of The Total Environment 472 (February 2014): 262–72. http://dx.doi.org/10.1016/j.scitotenv.2013.10.099.

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34

Gkousis, Spiros, Gwenny Thomassen, Kris Welkenhuysen, and Tine Compernolle. "Dynamic life cycle assessment of geothermal heat production from medium enthalpy hydrothermal resources." Applied Energy 328 (December 2022): 120176. http://dx.doi.org/10.1016/j.apenergy.2022.120176.

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35

Zhang, Binyue, and Bin Chen. "Dynamic Hybrid Life Cycle Assessment of CO2 Emissions of a Typical Biogas Project." Energy Procedia 104 (December 2016): 396–401. http://dx.doi.org/10.1016/j.egypro.2016.12.067.

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36

Slavkovic, K., A. Stephan, and G. Mulders. "Dynamic Life Cycle Assessment - Parameters for scenario development in prospective environmental modelling of building stocks." IOP Conference Series: Earth and Environmental Science 1122, no. 1 (December 1, 2022): 012027. http://dx.doi.org/10.1088/1755-1315/1122/1/012027.

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Abstract The global climate crisis calls for the urgent decrease of life cycle environmental impacts of building stocks. However, due to the long life spans of buildings, the complexity of prospective environmental modelling increases, compounded by uncertainty. While dynamic life cycle assessment (DLCA) is able to incorporate temporal variations of parameters (e.g. energy mix) or processes (e.g. technological improvement), their modelling methods have not yet been systematically analysed. This review paper aims to identify the typical dynamic parameters applied in building stock modelling, and advance the understanding of methods for predicting the associated temporal evolutions. We searched for publications on Science Direct database and collected 102 papers. A representative sample of 12 papers was then selected and analysed in detail. The results include 8 typical dynamic parameters and 5 methods for predicting the evolutions. We discuss the limitations of each parameter and formulate some recommendations. Presented research may help produce standardised evolution scenarios which, in turn, will help quantify the environmental impacts of building stocks in a more consistent manner, and inform design decisions that yield improved life cycle performance.

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37

Bevan, Adam, Jay Jaiswal, Andrew Smith, and Manuel Ojeda Cabral. "Judicious selection of available rail steels to reduce life-cycle costs." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 3 (October 6, 2018): 257–75. http://dx.doi.org/10.1177/0954409718802639.

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The rate of rail degradation and hence its expected life is not uniform throughout any railway network and is governed by a combination of track, traffic and operating characteristics in addition to the metallurgical attributes of the rail steel. Consequently, it is suggested that any route or network is not a single linear asset but is a compilation of individual segments with different track characteristics, degradation rates and expected life spans. Thus, the choice of rail steel grade to maximise life (and minimise life-cycle costs) needs to combine knowledge of the metallurgical attributes of the available rail steels with the conditions prevailing at the wheel–rail and vehicle–track interfaces, whilst also considering the economic costs and benefits of the different options. This paper focuses on the classification of the susceptibility to rail degradation in various parts of a mixed-traffic network using vehicle dynamics simulation. The metallurgical attributes of the currently available rail steels are summarised along with an assessment of the life-cycle costs and wider economic implications associated with selection of a rail steel which provides improved resistance to the key degradation mechanisms of rolling contact fatigue and wear. Overall, the proposed methodology, which incorporates engineering, metallurgical and economic assessments, provides guidance on the circumstances in which the introduction of alternative rail steels make sense (or not) from an economic perspective.

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38

Skeie, Geir, Nils Sødahl, and Oddrun Steinkjer. "Efficient Fatigue Analysis of Helix Elements in Umbilicals and Flexible Risers: Theory and Applications." Journal of Applied Mathematics 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/246812.

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Fatigue analysis of structural components such as helix tensile armors and steel tubes is a critical design issue for dynamic umbilicals and flexible pipes. The basis for assessment of fatigue damage of such elements is the long-term stress cycle distribution at critical locations on the helix elements caused by long-term environmental loading on the system. The long-term stress cycle distribution will hence require global dynamic time domain analysis followed by a detailed cross-sectional analysis in a large number of irregular sea states. An overall computational consistent and efficient fatigue analysis scheme is outlined with due regard of the cross-sectional analysis technique required for fatigue stress calculation with particular attention to the helix elements. The global cross-section is exposed to pure bending, tensile, torsion, and pressure loading. The state of the different cross-section elements is based on the global response. Special emphasis is placed on assessment of friction stresses caused by the stick-slip behavior of helix elements in bending that are of special importance for fatigue life assessments. The described cross-sectional analysis techniques are based on an extensive literature survey and are hence considered to represent industry consensus. The performance of the described calculation scheme is illustrated by case studies.

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39

He, Liang, and Wan Lin Guo. "A Logistics Model of Total Life Cycle of Mechanical Products." Applied Mechanics and Materials 248 (December 2012): 402–7. http://dx.doi.org/10.4028/www.scientific.net/amm.248.402.

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A kind of processing strategy of total life cycle of mechanical products was designed. A logistics model of total life cycle of mechanical products was established based on eight typical states of life cycle of mechanical products. The logistics analysis of total life cycle of a sort of aero-engine was carried out by using the model. The dynamic equivalent quantity of the aero-engines in different states of life cycle was obtained when times changed from the products were first put into production to the time when stable production capacity was reached. The model can also be used to predict logistics of other products rapidly. The results give references for production departments or enterprises which use life cycle methods to configure their production resources effectively and optimize production processes, and also provide a basis for further analysis of total life cycle analysis such as economic and environmental assessment.

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40

NOROUZI, MAHDI, and EFSTRATIOS NIKOLAIDIS. "EFFICIENT METHOD FOR RELIABILITY ASSESSMENT UNDER HIGH-CYCLE FATIGUE." International Journal of Reliability, Quality and Safety Engineering 19, no. 05 (October 2012): 1250022. http://dx.doi.org/10.1142/s0218539312500222.

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Fatigue causes about 90% of service failures in machines. Fatigue analysis involves significant randomness in the loads, material properties and geometry. Designers often use Monte Carlo simulation to estimate fatigue reliability under dynamic, random loads such as those due to ocean waves. Monte Carlo simulation is computationally expensive because it requires calculation of the stresses for thousands of simulated time histories of the loads. This paper presents and demonstrates a method to estimate efficiently the fatigue life of a structure subjected to a dynamic load, which is represented by a stationary, Gaussian random process, for many different spectra of the excitation. The method requires only one Monte Carlo simulation for one power spectral density function of the excitation.

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41

Laratte, Bertrand, and Bertrand Guillaume. "Epistemic and Methodological Challenges of Dynamic Environmental Assessment: A Case-Study with Energy Production from Solar Cells." Key Engineering Materials 572 (September 2013): 535–38. http://dx.doi.org/10.4028/www.scientific.net/kem.572.535.

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During the last decades, life cycle assessment (LCA) has been one of the most common approaches for environmental impact assessment. This methodology has become more and more complex in its representation of the real environmental impacts of products. However, it does not take into account temporal and cumulative aspects, and therefore appear not so suitable to observe potential rebound effect of new technologies. In this paper, we explore the limits of static LCA and understand how some dynamic LCA can be interpreted, by comparing the results of two environmental impacts assessments of energy production from solar cells. The global warming potential (GWP) of different technologies was accounted from the last 50 years. We show with this example how any temporal evolution of technology matters for environmental assessment (e.g. the global warming potential). Turning then to the future, we offer scenarios to see the evolution of greenhouse effect in long term regarding different mixes of technologies. This example opens new horizons for future research in the field of temporal LCA and its applications.

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Chopra, Shauhrat S., Yuqiang Bi, Frank C. Brown, Thomas L. Theis, Kiril D. Hristovski, and Paul Westerhoff. "Interdisciplinary collaborations to address the uncertainty problem in life cycle assessment of nano-enabled products: case of the quantum dot-enabled display." Environmental Science: Nano 6, no. 11 (2019): 3256–67. http://dx.doi.org/10.1039/c9en00603f.

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Dynamic life cycle assessment (dLCA) framework presented in this paper encourages collaborative research among LCA modelers and end-of-life experimentalists to improve confidence in LCA results for emerging technologies like the quantum dot displays.

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Lakusic, Stjepan. "Examination of masonry arch bridge’s life-cycle assessment under far-fault earthquakes." Journal of the Croatian Association of Civil Engineers 74, no. 07 (August 31, 2022): 587–98. http://dx.doi.org/10.14256/jce.3027.2020.

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The goal of this study is to examine the historical masonry arch bridge’s static and dynamic behavior using far-field fault earthquakes. The first step is to build a finite element model with ANSYS and SAP2000. This is done to see if the greatest possible displacements, primary stresses, and elastic strains compare. From above, the belt’s upper side appears to be vital for damage. Furthermore, a historical masonry arch bridge’s life cycle assessment is also researched and observed, which results in increased stress and strain values for the bridge, causing its expected life span to be drastically reduced.

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Collinge, William O., Harold J. Rickenbacker, Amy E. Landis, Cassandra L. Thiel, and Melissa M. Bilec. "Dynamic Life Cycle Assessments of a Conventional Green Building and a Net Zero Energy Building: Exploration of Static, Dynamic, Attributional, and Consequential Electricity Grid Models." Environmental Science & Technology 52, no. 19 (September 7, 2018): 11429–38. http://dx.doi.org/10.1021/acs.est.7b06535.

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Zhai, Pei, and Eric D. Williams. "Dynamic Hybrid Life Cycle Assessment of Energy and Carbon of Multicrystalline Silicon Photovoltaic Systems." Environmental Science & Technology 44, no. 20 (October 15, 2010): 7950–55. http://dx.doi.org/10.1021/es1026695.

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Sohn, Joshua, Pradip Kalbar, and Morten Birkved. "Dynamic Heat Production Modeling for Life Cycle Assessment of Insulation in Danish Residential Buildings." Procedia Environmental Sciences 38 (2017): 737–43. http://dx.doi.org/10.1016/j.proenv.2017.03.156.

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Aygun, Hakan, and Onder Turan. "Environmental impact of an aircraft engine with exergo-life cycle assessment on dynamic flight." Journal of Cleaner Production 279 (January 2021): 123729. http://dx.doi.org/10.1016/j.jclepro.2020.123729.

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Negishi, Koji, Alexandra Lebert, Denise Almeida, Jacques Chevalier, and Ligia Tiruta-Barna. "Evaluating climate change pathways through a building's lifecycle based on Dynamic Life Cycle Assessment." Building and Environment 164 (October 2019): 106377. http://dx.doi.org/10.1016/j.buildenv.2019.106377.

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Chowdhury, Raja, Nidia Caetano, Matthew J. Franchetti, and Kotnoor Hariprasad. "Life Cycle Based GHG Emissions from Algae Based Bioenergy with a Special Emphasis on Climate Change Indicators and Their Uses in Dynamic LCA: A Review." Sustainability 15, no. 3 (January 17, 2023): 1767. http://dx.doi.org/10.3390/su15031767.

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Life cycle-based analysis is a key to understand these biofuels’ climate benefits. This manuscript provides a state-of-the-art review of current biofuel production, primarily through algae-based routes. Standalone biofuel production has an unfavorable environmental and energy footprint. Therefore, industrial symbiosis is required to reduce the environmental impacts of biofuel. The availability of waste heat, CO2, renewable energy, and colocation of other industries, especially renewable energy and dairy firms, have been demonstrated beneficial for producing biofuel through the algal route. Dynamic life cycle assessment (DLCA) issues were discussed in detail. DLCA is one of the highlighted areas of the Life Cycle Assessment (LCA) paradigm that can improve the applicability of climate change indicators used in the LCA. Various climate change indicators, global warming potential (GWP), global temperature change (GTP), and climate tipping point (CTP) were discussed in detail. Special emphasis was given to waste-based bioenergy production and its LCA as this route provided the lowest GHG emissions compared to the other bioenergy production pathways (e.g., from energy crops, using lignocellulosic biomass, etc.). The use of LCA results and modification of life cycle inventory (e.g., modification in the form of the regional energy mix, dynamic Life Cycle Inventory (LCI), etc.) was another highlight of this study. Such modifications need to be incorporated if one wants to improve the applicability of LCA results for net zero target analysis.

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Zagonari, Fabio. "Multi-Criteria, Cost-Benefit, and Life-Cycle Analyses for Decision-Making to Support Responsible, Sustainable, and Alternative Tourism." Sustainability 11, no. 4 (February 16, 2019): 1038. http://dx.doi.org/10.3390/su11041038.

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This paper combines the most popular tourism typologies or goals (i.e., RT, responsible tourism, to represent impact minimisation; ST, sustainable tourism, to represent welfare maximisation; AT, alternative tourism, to represent continuity maximisation) and decision-making methodologies (i.e., MCA, multi-criteria analysis; CBA, cost-benefit analysis; WLCA, weighted life-cycle assessment; MLCA, monetary life-cycle assessment) in a single dynamic framework to operationally match the former with the latter. Normative insights show that MCA and WLCA are most suitable for RT and AT, respectively, whereas CBA and MLCA are most suitable for ST. Management recommendations (i.e., if a wrong static instead of a right dynamic approach must be adopted due to a lack of data, once chosen a tourism typology or goal, ST is the best in terms of level, correlation and likelihood of errors) are provided, and policy recommendations (i.e., if a right dynamic approach is adopted, in choosing among tourism typologies or goals, AT is the best in terms of precaution, ST is the best in terms of correlation, and RT is the best in terms of risk of investments) are suggested for a case study characterized by negative environmental and cultural dynamics. Positive insights show that two and many papers have applied WLCA and MLCA, respectively, to RT, but they did not account for cultural features; many papers have applied CBA to ST, but only one paper applied MLCA; few and no papers have applied MCA and WLCA, respectively, to AT.

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