{"title":"电力消耗的时间感知生命周期清单","authors":"Sabina Bednářová, Thomas Gibon, Enrico Benetto","doi":"10.1016/j.softx.2025.102362","DOIUrl":null,"url":null,"abstract":"<div><div>Software package <em>shrecc</em> is designed to handle electricity mix data across European countries, using data from the Energy-Charts API. With an increasing share of renewable energy in electricity mixes, environmental impact varies by hour, day and season – which is not systematically accounted for in LCA. To remediate this, <em>shrecc</em> prepares live-tracked electricity data for use with the <em>brightway</em> package, enabling more accurate life cycle impact assessment (LCIA). Through a case study of electric vehicle charging, we demonstrate the importance of temporally granular data. Our findings reveal that relying on annual average electricity mixes can lead to both over- and underestimation of LCIA results, highlighting the need for more time-aware approaches in energy related life cycle assessments.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"32 ","pages":"Article 102362"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time-aware life cycle inventories for electricity consumption\",\"authors\":\"Sabina Bednářová, Thomas Gibon, Enrico Benetto\",\"doi\":\"10.1016/j.softx.2025.102362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Software package <em>shrecc</em> is designed to handle electricity mix data across European countries, using data from the Energy-Charts API. With an increasing share of renewable energy in electricity mixes, environmental impact varies by hour, day and season – which is not systematically accounted for in LCA. To remediate this, <em>shrecc</em> prepares live-tracked electricity data for use with the <em>brightway</em> package, enabling more accurate life cycle impact assessment (LCIA). Through a case study of electric vehicle charging, we demonstrate the importance of temporally granular data. Our findings reveal that relying on annual average electricity mixes can lead to both over- and underestimation of LCIA results, highlighting the need for more time-aware approaches in energy related life cycle assessments.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"32 \",\"pages\":\"Article 102362\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711025003280\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025003280","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Time-aware life cycle inventories for electricity consumption
Software package shrecc is designed to handle electricity mix data across European countries, using data from the Energy-Charts API. With an increasing share of renewable energy in electricity mixes, environmental impact varies by hour, day and season – which is not systematically accounted for in LCA. To remediate this, shrecc prepares live-tracked electricity data for use with the brightway package, enabling more accurate life cycle impact assessment (LCIA). Through a case study of electric vehicle charging, we demonstrate the importance of temporally granular data. Our findings reveal that relying on annual average electricity mixes can lead to both over- and underestimation of LCIA results, highlighting the need for more time-aware approaches in energy related life cycle assessments.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.