Food waste end-of-life management for the United States: Parameterized life cycle inventory datasets.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-11-24 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111174
Kyle McGaughy, Ben Morelli, Abby Martell, James Santa Ana, Wesley W Ingwersen
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Abstract

A life cycle inventory (LCI) dataset for food waste management was developed using secondary data from scientific literature and government reports. EPA reports on food waste management were used as the basis for collecting literature to review. Unit process parameters from the reviewed literature are compiled and combined with engineering calculations to generate LCI for food management pathways. Both the literature values and engineering calculations are reviewed and documented with notes indicating any potential limitations in the dataset. The Excel-based inventory model includes pathways for anaerobic digestion, composting - windrow and aerated static pile, landfilling, and incineration. The model includes default parameter value selections, but the inventory may also be generated using user-specified parameter values. The model includes site-specific unit process models that do not have default parameter values pre-selected. Users can specify parameter values within these unit processes to generate LCI data for the food waste management pathways in line with their project scope. Site-specific unit processes include options such as biogas and landfill gas utilization and treatment of compost and digestate. This dataset and model can be used to generate LCI for evaluating food waste management in a comprehensive life cycle assessment study.

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美国的食物垃圾报废管理:参数化生命周期清单数据集。
利用来自科学文献和政府报告的二手数据,开发了用于食物垃圾管理的生命周期清单(LCI)数据集。以EPA关于食物垃圾管理的报告为基础,收集文献进行综述。从文献综述的单元工艺参数进行编译,并与工程计算相结合,以产生食品管理路径的LCI。文献值和工程计算都进行了审查和记录,并附有说明数据集中任何潜在限制的注释。基于excel的库存模型包括厌氧消化、堆肥窗和曝气静态堆、垃圾填埋和焚烧的途径。该模型包括默认参数值选择,但也可以使用用户指定的参数值生成清单。该模型包括没有预先选定默认参数值的特定于站点的单元过程模型。用户可以在这些单元过程中指定参数值,以根据其项目范围为食物垃圾管理路径生成LCI数据。特定地点的单元工艺包括沼气和垃圾填埋气的利用以及堆肥和消化物的处理等选择。该数据集和模型可用于生成LCI,用于在综合生命周期评估研究中评估食物浪费管理。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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