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62 results for “sustainable product”
Barley as a production platform for oral vaccines in sustainable fish aquaculture
<p>Experimental data for the study "Barley as a production platform for oral vaccines in sustainable fish aquaculture"</p>
sOCEL 2.0: A Sustainability-Enriched OCEL of a Hinge Production Process
<h2><strong>General Description</strong></h2> <p>The simulated process describes the production of hinges. It begins with a steel coil which is split into steel sheets which are heated, formed and coated before being split into the male and female parts. Subsequently, both components are assembled with a steel pin and packed. The process is describes using events and objects</p> <p>This is an artificial event log according to the <a href="https://www.ocel-standard.org/">OCEL 2.0 Standard</a> defined in Berti et al. simulated using an extended version of CPN-Tools with a connector to climatiq API. The extension to CPN-Tools and the event log simulation are results of the Bachelor Thesis project of Marco Heinisch at the Chair for Process and Data Science at RWTH Aachen University. </p> <h2><strong>Process Overview</strong></h2> <p>In this example scenario, hinges are produced in a German facility. The production process is divided into three workstations, all supervised by a single worker. The production line is started by this employee workstations for workstations every morning at 7:30. The employee pauses work for a lunch break at 12:00 pm and then continues working from 1:00 pm until 3:00 pm. The production process starts with two primary inputs: steel coils and steel pins. The steel pins, also known as steel rods, are each 3.0 cm long and are used to hold the leaves together. The steel coils hold a rolled steel strip that is approximately 0.3 centimeters thick and 3.0 centimeters wide. This steel strip is then processed into hinge leaves through the following steps.</p> <p>In the first operation of our model, one steel coil at a time is processed at the first workstation. Each coil is continuously cut into steel sheets that are 3 cm in length. As these strips are cut, we assign each resulting steel sheet an identification number. This process continues until there is only an unusable steel remainder of the steel coil, which we do not track further in this process. This remainder needs to be classified as waste in preprocessing. The amount of waste created during the production of rolled steel strips varies depending on the initial length and could be optimized. The cut steel sheets are handled in a line and heat-treated in a gas oven. A different oven technology could reduce impacts. Then, each 3.0 cm steel sheet is rolled on one side to form a barrel for the insertion of hinge pins. This operation is performed using a hydraulic press powered by electricity. In our model, we refer to these produced parts as FormedParts. Finally, in a very energy intense step, plasma coating is conducted using a specialized machine. The FormedParts are automatically collected in a transport carriage. If the carriage reaches full capacity, an alert signals the operator to manually move the batch of FormedParts to the second workstation.</p> <p>At the second workstation, <em>FormedParts </em>are shaped into alternating male and female hinge leaves (MalePart and FemalePart) using a laser cutting machine. This is achieved<br>by cutting out specific sections from each part. Notably, the method generates more waste compared to an alternative process where the male and female parts are directly cut out from the coil and then shaped further. The metal waste containing the coat is hypothetically not recyclable, which is reflected in a separate impact indicator. The waste created during this operation is not recorded, however, the weight of the workpiece object before and after the material removal is recorded. </p> <p>In the next step, the worker manually checks both FemalePart and MalePart for quality criteria, which is mass, representing various possible measurable attributes, including geometrics and material properties. If everything is within tolerance, the parts are placed on a moving band to the third workstation. If not, the part represents waste, which again is to be quantified in a preprocessing step. At the next station, an assembling machine uses one MalePart, one FemalePart, and one SteelPin to create a Hinge. The material origin of a hinge or its parts could potentially be discovered. A set of 10 hinges is automatically buffered and placed into a cardboard box by a packaging machine.</p> <h3><strong>Sustainability Data</strong></h3> <p>The event log is enhanced with sustainability-related attributes for objects and events. These attributes can be identified by their naming structure as they begin with either i, p or s and include a unit in square brackets at the end of the attribute name structure, i.e., "i_electricity[kWh]". These additional attribute are classifies into three different categories of data:</p> <ul> <li><strong>Impact Indicators</strong> ("i_"): contain information on all different impacts caused by an event, object, or process. Impact Indicators should be based on some sort of sustainability framework, such as <a href="https://link.springer.com/article/10.1007/s11367-016-1246-y">ReCiPe2016 standard</a>. In this event log, all relevant impact indicators considered in reviewed literature on manufacturing assessments are included according to the Climatiq-API specification to show the potential of automated assessment. Indicators further represent LCI-Items according to the LCA standard. However, to both indicate their relevance and a possible inability to get this data from the process directly some of the values read "??" as they have to be estimated using given impact paqrameters.</li> <li><strong>Impact Parameters </strong>("p_"): As data availability issues may lead to an inavailability to determine impact indicators directly, impact parameters can be included into the event log to support the estimation of impact indicators. These process-specific parameters include, e.g., material, mass, volume, geometric properties, and operation duration.</li> <li><strong>Impact Scores</strong> ("s_"): Impact scores describe the overall effect of a system or event on the environment in a standardised manner. Multiple impact scores for different impact categories, such as climate change or toxicity, can be calculated and represented as impact scores. This process involves aggregating and weighting individual impact indicators according to a standardized methodology, such as ReCiPe2016. Climatic API (used for the simulation of the event log) uses values for impact indicators to return impact scores. </li> </ul> <h2><strong>General Properties </strong></h2> <p>An overview of log properties is given below.</p> <table> <tbody> <tr> <th>Property</th> <th>Value</th> </tr> </tbody> <tbody> <tr> <td>Event Types</td> <td>11</td> </tr> <tr> <td>Object Types</td> <td>12</td> </tr> <tr> <td>Events</td> <td>~3850</td> </tr> <tr> <td>Objects</td> <td>~23700</td> </tr> </tbody> </table> <h2><strong>Process Simulation Design Process</strong></h2> <p>Our result is a simplified hinge production line, modeled as a Colored Petri Net (CPN) in <a href="https://cpntools.org/">CPN Tools</a>, a tool for editing and creating colored Petri nets. This model is an idealized representation of an exemplary manufacturing process. It is designed to examine and present the use case of SD in OCPM and does not realistically represent a specific manufacturing process in detail.</p> <p>The model’s design process was structured into four steps. First, the workpiece flow was outlined, identifying the sub-products used in hinge production.<br>Next, control flow elements were incorporated, adding batching and queuing behaviors as well as quality control procedures. Sustainability data relevant to this example were integrated into events and objects following the sOCEL specification. Finally, the simulation of values such as waiting times and weights now includes randomness and deviations.</p> <h2><strong><br>Simulation Model </strong></h2> <p>The repository with the CPN-Tools model as well as the CPN-Tools extension including the connector to Climatiq API can be found in the following Repositiry: <a href="https://github.com/rwth-pads/sOCEL">https://github.com/rwth-pads/sOCEL</a></p> <p>Further information on the simulated process, the simulation model and the CPN-Tools extension can be found in <a href="https://www.pads.rwth-aachen.de/go/id/bhsfqz" target="_blank" rel="noopener">Marco's thesis</a> entitled "Integrating Sustainability Data into Event Logs for Object-Centric Process Mining".</p> <h2><strong>Acknowledgements</strong></h2> <p>Funded under the Excellence Strategy of the Federal Government and the Länder<em>. </em>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC-2023 Internet of Production - 390621612. We also thank the Alexander von Humboldt (AvH) Stiftung for supporting our research.</p> <p>Special thanks are also dedicated to Marco's Family and friends Lennart, Franziska, and Maxim for their support and valuable feedback.</p>
Techno-economic sustainability analysis methodology for conversion routes of renewable feedstock resources to bio-based products – case studies
<p>The dataset provides a set of sustainability principles, criteria and indicators for the evaluation of the conversion routes stage of a bio-based product. The selected case studies on the employment of alternative feedstocks and production of the bio-based products are implemented in order to evaluate the proposed methodology. Mass and energy balances for all case studies, estimated techno-economic metrics, cost of externalities and risk assessment results are provided</p>
Fig. 11. A–L in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 11. A–L. Mamatia retracta (Popov). A. Dorsal valve RM Br133828, exterior, × 40. B. Dorsal valve RM Br133829, interior, × 50. C. Ventral valve RM Br133830, exterior, × 32. D. Dorsal valve RM Br133831, interior, × 27. E, H, I, K. Ventral valve RM Br133832, exterior (E, × 75), oblique posterior view (H, × 40), oblique lateral view (I, × 75), detail of larval shell (K, × 162). F. Ventral valve RM Br133833, oblique lateral view, 62. G, J. Ventral valve RM Br133834, interior (G, × 45) and detail of apical process (J, × 195). L. Ventral valve RM Br133835, detail of larval shell, × 150. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 6. A–N in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 6. A–N. Siphonotretella popovi sp. nov. A, N. Dorsal valve RM Br133791, exterior (A, × 26), detail of spines (N, × 100). B. Dorsal valve RM Br133792, exterior, × 32. C. Holotype, ventral valve RM Br133793, exterior, × 26. D, G, L. Dorsal valve RM Br133794, oblique posterior view (D, × 30), exterior (G, × 30), detail of larval shell (L, × 80). E, J. Dorsal valve RM Br133795, exterior (E, × 40) and detail of larval shell (J, × 120). F, H, I, K. Ventral valve RM Br133796, oblique lateral view (F, × 26), oblique posterior view (H, × 32), detail of larval shell and pedicle opening (I, × 80), detail of larval shell and pedicle opening (K, × 90). M. Dorsal valve RM Br133797, interior, × 40. O. Ventral valve RM Br133798, interior, × 23. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 8. A–Q. Semitreta maior Biernat. A in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 8. A–Q. Semitreta maior Biernat. A. Dorsal valve RM Br133807, × 30. B. Dorsal valve RM Br133808, interior, × 40. C, G. Ventral valve RM Br133809, exterior (C, × 13) and oblique lateral view (G, × 13). D, L. Dorsal valve RM Br133812, oblique lateral view (D, × 50), detail of larval shell (L, × 195). E. Dorsal valve RM Br133810, exterior, × 30. F, Q. Ventral valve RM Br133811, oblique lateral view (F, × 75), detail of larval shell (Q, × 195). H. Dorsal valve RM Br133814, oblique lateral view, × 40. I. Dorsal valve RM Br133813, oblique lateral view, × 50). J, K, P, O. Dorsal valve RM Br133815, dorsal interior (J, × 25), oblique lateral view (K, × 50), detail of pseudointerarea (P, 100), detail of pseudointerarea (O, × 60). M, N. Ventral valve RM Br133816, oblique lateral view (M, 32), oblique posterior view (N, × 45). All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 4. A–L in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 4. A–L. Siphonobolus uralensis (Lermontova). A, G. Dorsal valve RM Br133779, interior (A, × 15) and oblique lateral view (G, × 23). B. Ventral valve RM Br133780, exterior, × 19. C, D, L. Ventral valve RM Br133781, oblique lateral view of exterior (C, × 33), posterior view (D, × 36) and detail of pedicle opening (L, × 80). E, H, J. Ventral valve RM Br133782, oblique lateral view of interior (E, × 28), detail of posterior margin (H, × 100) and detail of pedicle tube (J, × 70). F. Dorsal valve RM Br133783, oblique lateral view of exterior, × 26. I. Dorsal valve RM Br133784, oblique lateral view of interior, × 37. K. Ventral valve RM Br133785, detail of pedicle tube, × 55. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 2. A–K in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 2. A–K. Elliptoglossa polonica sp. nov. A, H. Dorsal valve RM Br133767, exterior (A, × 45) and oblique lateral view (H, × 45). B, G. Dorsal valve RM Br133768, interior (B, × 32) and oblique lateral view (G, × 40). C. Holotype, ventral valve RM Br133769, exterior, × 45. D. Ventral valve RM Br133770, interior, × 45. E, F, I. Ventral valve RM Br133771, exterior (E, × 38), oblique lateral view (F, × 40) and detail of larval shell (I, × 135). J. Ventral valve RM Br133772, detail of pseudointerarea, × 400. K. Dorsal valve RM Br133773, oblique lateral view of umbonal section of interior, × 100. All specimens from the Tremadoc chalcedonites, Wysoczki.
Fig. 9. A–F in Urban and Peri-urban small and medium-size Enterprise Development for sustainable Vegetable Production and Marketing Systems
Fig. 9. A–F.?Ditreta dividua Biernat. A, D. Dorsal valve RM Br133817, interior (A, × 36), detail of pseudointerarea (D, × 80). B, C, E, F. Ventral valve RM Br133818, oblique lateral view (B, × 32), exterior (C, × 30), oblique posterior view (E, × 30), detail of larval shell (F, × 165). All specimens from the Tremadoc chalcedonites, Wysoczki.
Replication package: assessing the sustainability of software products - a method comparison
<p><strong>Assessing the Sustainability of Software Products - A Method Comparison - Replication Package</strong></p> <p>This is a replication package for the paper entitled "Assessing the Sustainability of Software Products - A Method Comparison". The paper was submitted to the 33. EnviroInfo conference "Environmental Informatics – Computational sustainability: ICT methods to achieve the UN Sustainable Development Goals", 23th – 26th September 2019 at the University of Kassel, Germany.</p> <p>For further information, please refer to the <a href="https://zenodo.org/record/3257517/files/README.md?download=1">README.md</a></p> <p>This replication package is licensed under <a href="https://creativecommons.org/licenses/by-nc/4.0/">Creative Commons CC BY-NC 4.0</a>.</p>
A parametric life cycle framework to promote sustainable-by-design product development: Application to a hydrogen production technology
<p>The European Ecodesign Directive is an effective normative framework that has been extensively proven to support the energy transition of numerous European industrial sectors. From an analytical standpoint, it provides practitioners with the EcoReport tool, a simplified life cycle spreadsheet that is aimed at guiding the development of ecodesign measures of mandatory compliance in European countries. In this regard, several studies have highlighted the limitations of the EcoReport tool when addressing emerging technologies like those tied to the hydrogen sector. These works also propose to further integrate material criticality and social metrics in order to enlarge the scope of the European Directive and foster the shift from ecodesign to sustainable-by-design product development. In this situation, building upon the principles of the EcoReport tool and recognizing the outcomes of the aforementioned critical analyses, the conceptualization of a novel sustainable-by-design framework is presented and applied to a Solid Oxide Electrolysis Cell (SOEC) stack for hydrogen production. The operationalization of the framework is conducted, for the first time in the context of sustainable design, by combining the use of the <em>Brightway2</em> and <em>lca_algebraic</em> Python packages. Overall, the proposed approach succeeds in providing a complete sustainability perspective to the design of emerging technologies. Regarding the tangible lessons learned on the hydrogen-related case study, product concepts are proven to progressively improve the sustainability performance of the technology. It is noticeable that the enhancement of the economic competitivity is more limited than that achieved at the remaining sustainability indicators (i.e., environmental, social and material criticality metrics). In line with the outcomes of the life cycle contribution assessment, multi-criteria decision analysis ratings lead to concluding that a sustainable-by-design SOEC stack product concept should prioritize limiting its material intensity.</p>
Biopesticides and field margin vegetation for sustainable lablab crop production
<p>The data presents the effect of botanical insecticides, in the presence of field margin vegetation on aphids (abundance, severity of damage and percent incidence), number and diversity of natural enemies and growth and yield of lablab beans in the highlands of Rift Valley, Kenya. A clearly discernible reduction in the abundance, severity of damage and incidence of aphids, enhanced number and diversity of natural enemies and increased grain yield of lablab bean.</p>
Developing circularity, renewability and efficiency indicators for sustainable resource management : propanol production as a showcase
<p>The data used for the exergy calculations in the associated article.</p>
Deliverable [D4.1] Techno-economic sustainability analysis methodology on resources for bio-based products, conversion routes and end-of-life alternative valorisation options
<p>Techno-economic sustainability analysis (TESA) is a methodology framework to evaluate the performance of a process under technical and economic perspective. A process can be divided into three main sections, the resources required for bio-based products, the conversion routes for the production and finally, the end-of-life alternative valorisation options. Consequently, TESA is carried out separately in the three sections and evaluates the likelihood of their different technology scales and applications and their economic feasibility.</p>
Definition of techno- economic sustainability criteria and LCC indicators for bio-based products
<p>The dataset provides a set of sustainability principles to be fulfilled by the process or the product and develops a set of criteria and indicators to show how well these sustainability principles are fulfilled. Case-studies related on alternative feedstocks, bio-based products production routes, and EoL options are implemented in order to evaluate the proposed methodology.</p>
Factors influencing the sustainability of homestead vegetable production intervention in Rufiji, Tanzania: A cross-sectional mixed methods study
<p><strong>Background </strong></p> <p>There is growing evidence that home vegetable gardening interventions improve food security and nutrition outcomes at the family level. This study assessed factors influencing the sustainability of homestead vegetable production intervention, one year after the cessation of external support.</p> <p><strong>Methods</strong></p> <p>This was a cross-sectional study using both quantitative and qualitative data collection methods. A total of 247 randomly selected households that participated in the homestead vegetable intervention were interviewed using a structured questionnaire. The study held four focus group discussions with households that participated in the intervention, and four In-Depth interviews with two extension workers, one community health worker, and one agriculture district officer. Multiple logistic regression for quantitative data and thematic analysis for qualitative data was conducted.</p> <p><strong>Results</strong></p> <p>About 20.24% (50/247) of households sustained homestead vegetable production for one year after the intervention phased out. Lack of seeds (adjusted OR=1.26: CI=0.39-0.89) and either manure or fertilizers (adjusted OR=1.69: CI =1.08-2.63) were significant factors influencing the sustainability of homesteads vegetable production. In the Focus Group discussions (FGDs) and In-Depth Interview (IDIs), all participating women and extension workers reported high cost of water, destruction from free-grazing animals, agriculture pests and diseases, poor soil fertility, shortage of seeds, and lack of capital affected homestead vegetable production sustainability.</p> <p><strong>Conclusion</strong></p> <p>Existing individual, community, and system challenges influence the sustainability of external-funded agriculture and nutrition interventions. The study findings underscore the importance of community authorities, scientists, and policymakers in having a well-thought sustainability plan in all promising external-funded interventions.</p>
Simulation results for "Integration of Plant and Microbial Oil Processing at Oilcane Biorefineries for More Sustainable Biofuel Production" publication
<p>Simulation results for "Integration of Plant and Microbial Oil Processing at Oilcane Biorefineries for More Sustainable Biofuel Production" publication.</p>
Event Data from Production Planning Simulation with Sustainability Considerations
<p>Synthetic event data generated by an AnyLogic simulation for the evaluation of parameterized production planning scenarios with the consideration of both economic and sustainabiliy related KPIs.</p> <p>The event data file is provided in the standard OCEL 2.0 SQLITE format (<a href="https://ocel-standard.org/">https://ocel-standard.org/</a>). It can for example be opened with the following webapp: <a href="https://ocelot.pm/">https://ocelot.pm/</a>.<br>Additionally, there is a PDF file of a generated visualization included in this publication.</p> <p> </p> <p>This dataset was produced as a side-product from the "Production Planning for Sustainability" app of CRD-B3.II within the Internet of Production (IoP) research project.</p> <p><em>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany ́ s Excellence Strategy – EXC-2023 Internet of Production – 390621612</em></p>
Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience
<p>This experiment aims to test two of the most performing Tomres used as rootstocks in the commercial variety (Elpida F1) cultivated in the region. More specifically, 2 tomato Tomres lines (TOMRES- 149, Bil-6191 and TOMRES 162, M82) x 2 water/nutritional regimens (standard water/nutrient supply vs 20% irrigation reduction/no nutrient supply). Greenhouse will also have non grafted plants (Elpida F1) cultivated under standard water/nutrient supply and 20% irrigation reduction/no nutrient supply</p>
Increasing production efficiency and coping with climate change, while ensuring sustainability and resilience
<p>Screening experiment aiming a first evaluation of the five PGPR that have been isolated in AUA, Laboratory go General & Agricultural Microbiology in a previous research project. To minimize interference of the treatments with soil fertility and soil heterogeneity, this first experiment will be conducted in a soilless cultivation system</p>
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International Brain Laboratory public data
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OpenNeuro
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