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9 results for “Life-cycle assessment”
Supporting information for Parametrized regionalization of paper recycling life-cycle assessment
<p>This supporting information provides the numerical results for (1) the process parameters' regionalization (S4); (2) the regionalized LCA climate change results for three different paper grades (S7); (3) the destinations of the mixed paper bales exiting Quebec's sorting centers (S8); (4) the LCA results for the scenarios for Quebec's case study (S9) and (5) the sensitivity analysis results, performed on the most uncertain parameters from Quebec's case study (S10).</p>
Hybrid Life-Cycle Assessment Literature Review Data
<p>Results from a literature review of hybrid life-cycle assessment. Details the underestimation of purely process-based life-cycle assessment and the diversity in terminology used by authors.</p>
Datasets and OpenLCA foreground data processes for the article: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment
<p>This data set contains the supplementary data sets (1-3) and exported foreground data processes from OpenLCA for the manuscript “Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment”, submitted to Nature Energy.</p> <p>This repository contains:</p> <ul> <li>Supplementary data set 1: Ancillary calculations and numerical values for HT-Aq DAC</li> <li>Supplementary data set 2: Ancillary calculations and numerical values for TSA DAC</li> <li>Supplementary data set 3: Ancillary calculations and numerical values shown in plots and table 3</li> <li>Foreground data from OpenLCA. OpenLCA process model for different cases of HT-Aq DAC and TSA DAC. To re-run the LCA calculations, OpenLCA (freeware) and the Ecoinvent 3.5 database (license required) need to be installed on a standard desktop computer or laptop with at least 8 GB RAM.</li> </ul>
A Comprehensive Framework for Life-Cycle Cost Assessment of Reinforced Concrete Bridge Decks
<p>Corresponding data set for Tran-SET Project No. 18STOKS02. Abstract of the final report is stated below for reference:</p> <p>"Various environmental and mechanical stressors cause deterioration of concrete bridge decks. Normal wear and tear, freeze and thaw cycles, and chloride penetration due to deicing salts can cause aggressive deterioration that usually require frequent interventions during the life-cycle of the bridge. These interventions include deck maintenance and repairs (e.g., application of sealers or overlay placement) as well as bridge deck replacement. The quantification of the life-cycle cost of bridge decks considering maintenance and repair activities represents a significant challenge facing local and state transportation agencies. The life-cycle maintenance activities not only increase the direct life-cycle cost of the bridge, but they also lead to significant indirect user costs due to increasing traffic delays, work zone crashes, and operating cost. Moreover, these traffic delays increase the carbon footprint of the bridge and adversely affect the life-cycle bridge sustainability. Accordingly, the proper quantification of indirect costs associated with life-cycle bridge management activities including maintenance, repair, and rehabilitation activities is of paramount importance. The research attempts to fill in the knowledge gaps in quantifying the indirect costs associated with bridge deck maintenance activities and their impact on the overall bridge life-cycle cost."</p>
Supporting material: Prospective life-cycle assessment of sustainable alternatives for road freight transport
<p><span>This study investigates decarbonization pathways for the road freight transport sector</span><span> </span><span>by evaluating three alternatives to conventional</span><span> </span><span>diesel trucks:</span><span> </span><span>trucks powered by biofuels, battery electric trucks, and fuel cell trucks with hydrogen</span><span>. A prospective life cycle assessment of these options is conducted under two policy scenarios for decarbonization across 12 distinct regions over the century. Employing a cradle-to-grave approach, the assessment covers activities from fuel and electricity production to the end-of-life of truck components. Findings reveal that, in eight of the 12 regions examined, an early transition to battery electric trucks could increase life-cycle greenhouse gas emissions by up to 70% by 2030 compared to the continued use of conventional diesel trucks, underscoring the significance of liquid fuels for short to medium-term decarbonization. However, in the long term, as electricity mixes and hydrogen production are decarbonized, battery electric trucks and hydrogen fuel cell trucks emerge as superior alternatives in all regions, emitting, at least, 29% less greenhouse gases than trucks powered by biofuels, and 45% less than diesel trucks.</span><span> </span><span>The optimal transition from conventional diesel trucks to trucks powered by biofuels and, subsequently, to battery electric trucks and/or hydrogen could avoid 134-204 Gt CO<sub>2-eq</sub> worldwide and prevent a temperature rise of 0.22-0.33°C compared to the diesel-based scenario. This emphasizes the crucial role of appropriate policies for the timely transformation of the road freight transport sector. </span></p>
Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa
<p><strong>Dataset Name:</strong><br><em>Literature Data and Archetype Parameter Sheets for the publication, named Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa.</em></p> <p><strong>Description:</strong><br>This dataset includes Excel sheets containing literature sources and archetypal data on Western Asian and North African countries' residential dwelling typologies. As well as Vacancy rates used and simulation results.</p> <p><strong>Files:</strong><br>The following files are included in the dataset:</p> <ul> <li> <em>[CountryName]_LiteratureSources.xlsx:</em> Excel sheet containing literature sources and references,</li> <li> <em>[CountryName]_ArchetypeParameters.xlsx</em>: Archetype models' semantic, geometric, and technical data used in the generation of energy models,</li> <li><em> VacantHouses.xlsx</em>: Vacant house rates for the countries, the found articles on the web, literature sources, etc.,</li> <li> <em>Resource Use Results:</em> BuildME Simulation Results</li> </ul> <p><strong>Usage:</strong><br>The dataset is intended for researching and analyzing the Western Asian and North African countries' residential buildings. The literature sources included in the [CountryName]_LiteratureSources.xlsx and [CountryName]_ArchetypeParameters.xlsx files can be used to verify, support, or reproduce the research findings.</p> <p><strong>License:</strong><br>The dataset is licensed under Creative Commons Attribution 4.0 International.</p> <p><strong>Citation:</strong><br>If you use this dataset in your research, please cite it as follows and contact the corresponding author:</p> <p>Akin, Sahin, Aida Eghbali, Chibuikem Chrysogonus Nwagwu, and Edgar Hertwich. 2024. “Archetype-based Life-Cycle Assessment of National Residential Building Stocks: Resource Use and Greenhouse Gas Emissions in Western Asia and Northern Africa” https://doi.org/10.5281/zenodo.13380340.</p> <p><strong>Contact:</strong><br>The archetypes' energy models (DesignBuilder or IDF files) can be provided on request. If you have any questions or comments about the dataset, please contact <strong>sahin.akin@ntnu.no, the corresponding author.</strong></p>
Life-Cycle Inventory (LCI) For the comparative Life-Cycle Assessment of a restoration and renovation of a traditional Danish farmer house
<p>This document provides the Life-Cycle Inventory of the study comparing the environmental performance of the restoration (Scenario 1, also mentioned as "S1") or renovation (Scenario 2, "S2") of a traditional Danish farmer house. The LCI is used as input for the life-cycle impact assessment phase in the LCA where the inputs and outputs of elementary flows in the LCI are characterized as potential impacts on the environment. The LCI is based on primary data from the "Apprentices' House" combined with secondary data from materials specific environmental product declaration and the large LCI database ecoinvent v3.</p> <p> </p> <p>The file contains several spreadsheets organized as follows:</p> <p>Thicknesses,S1 - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1</p> <p>Thicknesses, S1b - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1b</p> <p>Thicknesses, S1c - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1c</p> <p>Thicknesses, S2 - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S2</p> <p>Surfaces - Reports the area of all surfaces of the house (walls, ceilings, floors) for all scenarios. </p> <p>Bill of materials - Sums up the list and quantity of all the materials used in all scenarios, providing details as to the quantity kept from the actual house, as well as the new input and output of materials during the restoration/renovation</p> <p>Heat loss, S1 - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1</p> <p>Heat loss, S1b - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1b</p> <p>Heat loss, S1c - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1c</p> <p>Heat loss, S2 - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 2</p> <p>Parameters - Describes the main parameters used in the LCI and their corresponding uncertainty</p> <p>LCI Materials - Provides the full breakdown of the processes created and used for the LCI modelling on OpenLCA</p> <p>LCI Building - Provides the full breakdown of the processes created and used for the LCI modelling on OpenLCA</p>
Life-cycle assessment of hydrogen systems: A systematic review and meta-regression analysis
<p>The high expectations placed on hydrogen as a clean fuel have led to a growing amount of life-cycle assessment (LCA) studies of hydrogen-related systems. The multiple methodological choices and diverse technical characteristics contribute to a broad set of practices, resulting in significant variability even among similar systems. This study sets the basis for the development of harmonised guidelines for LCA of fuel cells and hydrogen (FCH) systems by analysing current LCA practices. The reviewed literature suggests that previous efforts on harmonisation of LCA methodological choices have led to common practices for certain choices, e.g. functional unit. However, an incomplete definition of some parameters hinders the interpretability of LCA results and hides the potential sources of variability in terms of LCA estimates. In this work, in addition to a systematic literature review of LCA of FCH systems to identify current practices and gaps, sources of variability were investigated for the life-cycle greenhouse gas emissions of hydrogen production systems through a meta-regression analysis (MRA). The MRA results show that the variability of LCA estimates in the literature can be explained by a limited set of qualitative (e.g. implementation of CO<sub>2</sub> capture, among other technological choices) and quantitative (e.g. electricity consumption for hydrogen processing) variables. Although a certain progress towards common methodological choices in LCA of FCH systems was identified, further work is still needed to harmonise practices, as well as to extend the application of the proposed MRA approach to other life-cycle indicators for both identification of main drivers and harmonisation of LCA impact scores.</p>
Supplementary data for Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions
<p>This dataset contains supplementary data for "Life-cycle assessment shows that retrofitting coal-fired power plants with fuel cells will substantially reduce greenhouse gas emissions" DOI: <strong>10.1016/j.oneear.2022.03.009</strong>.</p> <p>S1-S10 contains life-cycle inventories of solid oxide fuel cells, molten carbonate fuel cells, phosphoric acid fuel cells, and proton exchange membrane fuel cells with either natural gas or wind-electrolysis hydrogen as a feedstock.</p> <p>S11-S13 contains technological information of coal-fired power plants in China</p>
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