Thomas J. Robshaw, Daniel Atkinson, Jonathan R. Howse, Mark D. Ogden, Denis J. Cumming
{"title":"Recycling graphite from waste aluminium smelter Spent Pot Lining into lithium-ion battery electrode feedstock","authors":"Thomas J. Robshaw, Daniel Atkinson, Jonathan R. Howse, Mark D. Ogden, Denis J. Cumming","doi":"10.1016/j.clpl.2022.100004","DOIUrl":"10.1016/j.clpl.2022.100004","url":null,"abstract":"<div><p>There is an urgent need for alternative sources of graphite, to satisfy the demands of a number of industries, including use in lithium-ion battery production. Spent potlining (SPL) represents an attractive potential source of such graphite, but requires detoxification to allow valorisation of its carbonaceous fraction. We present here a simple decontamination process for SPL, based on two-stage caustic/acidic leaching, and demonstrate how the recovered graphite may be fabricated into Li-ion electrodes. The recycled batteries are assessed against a commercial equivalent and it is found that the charge capacity increases with the thoroughness of decontamination treatment. The specific capacity of the recovered graphite is seen to compete with commercial graphite in terms of charge capacity retention. However, some residual contamination may contribute towards instability in the formed solid electrolyte interface (SEI) which requires future resolution. Overall, the potential of SPL-derived graphite to be employed in this remit is significant and has far-reaching consequences for the economics of the aluminium industry, raw material sustainability and a low-carbon economy.</p></div>","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"2 ","pages":"Article 100004"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666791622000021/pdfft?md5=e47c3f9063e6bd4f1d54def5c2823125&pid=1-s2.0-S2666791622000021-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73168162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forecasting the probability of commercial wind power development in lagging countries","authors":"Jan Willem Zwarteveen, Andrew Angus","doi":"10.1016/j.clpl.2022.100006","DOIUrl":"10.1016/j.clpl.2022.100006","url":null,"abstract":"<div><p>There is significant under-utilization of wind energy resources, particularly in countries that have high wind potential. From the 67 highest wind potential countries, 39 have installed less than 500 MW of wind power capacity, while the remaining countries have an average installed capacity of 20,596 MW. In the lagging countries, there is significant potential for sustainable value creation, however large investment gaps need to be closed. Entering a new market for wind power Original Equipment Manufacturers is complex and requires a prediction of the future market size. Quantitative research to promote wind power internationalization is scarce. The objective of this paper is therefore to estimate the market size by predicting the probability of commercial wind development in the lagging countries. The purpose is to help the Original Equipment Manufacturers in their market entry decisions. The second purpose is to provide an example how to reduce risk required to close the Sustainable Development Goals financing gap. Using a binary logistic regression model based on technological path creation theory, the probability for the 39 lagging countries to enter the wind power commercialization stage was predicted. Results show that 12 of the lagging countries have a high probability to commercialize wind energy. A new simulation-based approach was presented to stimulate wind power market entry. The prediction of adoption probability proves useful to reduce risk required to close the financing gap to achieve the Sustainable Development Goals.</p></div>","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"2 ","pages":"Article 100006"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666791622000045/pdfft?md5=035b02d0619ae3fa7fc5233b68c2b2aa&pid=1-s2.0-S2666791622000045-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90802433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of baseline emissions, forest reference emission level, and carbon removals due to forest area changes in Afghanistan between 1993 and 2030","authors":"Narges Teimoory , Nophea Sasaki , Issei Abe","doi":"10.1016/j.clpl.2022.100003","DOIUrl":"10.1016/j.clpl.2022.100003","url":null,"abstract":"<div><p>To benefit from reducing deforestation under the Paris Agreement, developing countries need to establish a forest reference emission level (FREL) but no FREL study exists in Afghanistan yet. This study is aim at determining the FREL for Afghanistan between 2020 and 2030 using the retrospective and prospective approaches. Data of forest area in 1993 and 2010 and a Tier-2 emission factor were used to obtain the baseline emissions in closed forest, open forest, undifferentiated open forest, and high shrubs. Carbon stocks in four carbon pools were considered. Loss of closed forest emitted approximately 7.2 TgCO<sub>2</sub> year<sup>−1</sup>, while increase in areas of other forest categories resulted in carbon sequestration of approximately 2.6 TgCO<sub>2</sub> year<sup>−1</sup> between 1993 and 2010. Depending on the chosen approaches, FRELs in Afghanistan can range from 1.3 TgCO<sub>2</sub> year<sup>−1</sup> for retrospective approach to as high as 2.3 TgCO<sub>2</sub> year<sup>−1</sup> for prospective approach between 2020 and 2030. Enhancement of carbon stocks and reducing deforestation could achieve emission reductions amounting up to 36.4% of the total emissions in Afghanistan. This study was the first attempt to determine the national FREL in Afghanistan, paving the way for understanding the impacts of future development on deforestation and carbon emissions in this country.</p></div>","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"2 ","pages":"Article 100003"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266679162200001X/pdfft?md5=4f64fdceebcb8b1e65838f98b9a9129c&pid=1-s2.0-S266679162200001X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77251294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniela J. Schulman , Alexis H. Bateman , Suzanne Greene
{"title":"Supply chains (Scope 3) toward sustainable food systems: An analysis of food & beverage processing corporate greenhouse gas emissions disclosure","authors":"Daniela J. Schulman , Alexis H. Bateman , Suzanne Greene","doi":"10.1016/j.clpl.2021.100002","DOIUrl":"10.1016/j.clpl.2021.100002","url":null,"abstract":"<div><p>To align business activities with the Paris Agreement goal to limit global warming to 1.5°, companies may disclose and set targets to mitigate their emissions. The global food system contributes up to 37% of total annual emissions. Major food & beverage processing companies heavily contribute to food system emissions through their supply chains. Despite this, sector-specific analysis of the status and quality of scope 3 emissions for food & beverage processing companies is lacking. Using 2018 CDP data to build a sample of 153 companies, the authors describe the state of voluntary disclosure, particularly for scope 3, for food & beverage processing companies. Further, the paper investigated the effect of emissions performance, national environmental policy, international negotiation group, and primary activity on scope 3 disclosure. It also examined the effect of primary activity, scope 3 disclosure, and national environmental policy and international negotiation group on direct- and energy-related emissions performance. The authors found scope 3 disclosure in the food & beverage processing sector was incomplete and inconsistent. The 2018 Environmental Performance Index score and the international negotiating group of a company's headquarter country were significant predictors of scope 3 disclosure by category. Firm size (by revenue) was the only significant predictor of direct and energy-related (scopes 1 and 2) emissions, but was not correlated with improved emissions performance. The authors concluded with a set of recommendations to improve the availability and transparency of scope 3 emissions data, and invited further research into sector-specific scope 3 disclosure, performance, effect of firm size and climate policy at the national and international levels.</p></div>","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"1 ","pages":"Article 100002"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666791621000026/pdfft?md5=f71bfeead4ecb15985772f1056550312&pid=1-s2.0-S2666791621000026-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82774522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How might partner selection be improved by corporates to address material sustainability issues? A case study of Northumbrian Water Ltd.","authors":"Lara El Mouallem, Nadia Singh","doi":"10.1016/j.clpl.2021.100001","DOIUrl":"10.1016/j.clpl.2021.100001","url":null,"abstract":"<div><p>Appropriate partner selection is a crucial concern for businesses who want to address material sustainability issues through cross-sector partnerships. However, the current research on materiality analysis and partner selection is still in the nascent stage of development. This paper contributes to understanding partner selection by corporates through an in-depth exploration of the business's selection of nonprofit organisation (NPO) partners, based on case study research of Northumbrian Water Ltd. (NWL), a UK private sector organisation providing water supply and sewerage services. Using the evidence from this study, we propose a framework for the selection of partners based on the prospective impact of cross-sector partnerships on material sustainability issues. Our paper also provides a useful toolkit for businesses to evaluate these prospective impacts. The framework demonstrates how materiality with respect to sustainability issues can be assessed both reactively and proactively, and how this assessment can better inform the partner selection process by corporates. This understanding of how materiality is assessed and partners are selected in practice is supported by a context specific exemplar and contributes to knowledge and practice of materiality analysis as well as cross-sector partnerships.</p></div>","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666791621000014/pdfft?md5=e076b5ae5382a0562267f7c8e7e0f7be&pid=1-s2.0-S2666791621000014-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83429983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Drivers and Barriers to Cleaner Production","authors":"Francisco J. G. Silva, R. Gouveia","doi":"10.1007/978-3-030-23165-1_9","DOIUrl":"https://doi.org/10.1007/978-3-030-23165-1_9","url":null,"abstract":"","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74404524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sustainable Consumption","authors":"F. J. Gomes da Silva, R. Gouveia","doi":"10.1007/978-3-030-23165-1_4","DOIUrl":"https://doi.org/10.1007/978-3-030-23165-1_4","url":null,"abstract":"","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80491499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cleaner Production Definition and Evolution","authors":"Francisco J. G. Silva, R. Gouveia","doi":"10.1007/978-3-030-23165-1_1","DOIUrl":"https://doi.org/10.1007/978-3-030-23165-1_1","url":null,"abstract":"","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87257853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Regulations and Environmental Management Systems","authors":"Francisco J. G. Silva, R. Gouveia","doi":"10.1007/978-3-030-23165-1_5","DOIUrl":"https://doi.org/10.1007/978-3-030-23165-1_5","url":null,"abstract":"","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74636645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global Population Growth and Industrial Impact on the Environment","authors":"Francisco J. G. Silva, R. Gouveia","doi":"10.1007/978-3-030-23165-1_3","DOIUrl":"https://doi.org/10.1007/978-3-030-23165-1_3","url":null,"abstract":"","PeriodicalId":100255,"journal":{"name":"Cleaner Production Letters","volume":"151 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85386503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}