دانلود مقاله ISI انگلیسی شماره 129250
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل تطبیقی ​​حسابداری گازهای گلخانه ای وابسته، ارزیابی چرخه حیات و حسابداری پروژه / سیاست: مطالعه موردی انرژی زیستی

عنوان انگلیسی
Comparative analysis of attributional corporate greenhouse gas accounting, consequential life cycle assessment, and project/policy level accounting: A bioenergy case study
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
129250 2017 35 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Cleaner Production, Volume 167, 20 November 2017, Pages 1401-1414

پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل تطبیقی ​​حسابداری گازهای گلخانه ای وابسته، ارزیابی چرخه حیات و حسابداری پروژه / سیاست: مطالعه موردی انرژی زیستی

چکیده انگلیسی

In order to avoid dangerous climate change greenhouse gas accounting methods are needed to inform decisions on mitigation action. This paper explores the differences between ‘attributional’ and ‘consequential’ greenhouse gas accounting methods, focusing on attributional corporate greenhouse gas inventories, consequential life cycle assessment, and project/policy greenhouse gas accounting. The case study of a 6 MW bioheat plant is used to explore the different results and information these methods provide. The findings show that attributional corporate inventories may not capture the full consequences of the decision in question, even with full scope 3 reporting – and are therefore not sufficient for mitigation planning. Although consequential life cycle assessment and the project/policy level method both aim to show the full consequences of the decision, the project/policy level method has a number of advantages, including the provision of a transparent baseline scenario and the distribution of emissions/removals over time. The temporal distribution of emissions/removals is important as the carbon debt of the bioheat plant can exceed 100 years, making the intervention incompatible with 2050 reduction targets. An additional contribution from the study is the use of normative decision theory to further develop the idea that the uncertainty associated with bioenergy outcomes is itself a highly decision-relevant finding.