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I have an LCI inventory in excel that is originally linked to the ecoinvent 3.4 cut-off database. When I import it, I get no unlinked exchanges.

Now, I would like to switch and link it to the ecoinvent 3.4 consequential database. 

for k, fp in {"LCI": "lci.xlsx"}.items():

    if k not in databases:
        imp = ExcelImporter(fp)
        imp.apply_strategies()
        imp.match_database(fields=["name", "unit", "location"]) 
        imp.match_database('ecoinvent_conseq',  fields=["reference product", "name", "unit", "location"])
        imp.match_database('ecoinvent_conseq',  fields=["name", "unit", "location"])
        imp.statistics()
        imp.write_excel()
        imp.write_database()
        database = Database('LCI')

For multi-output processes where there is a change in the reference product, I know why it does not get linked.

In some cases, the matching is not working even though the name, the location and the unit of the dataset are provided.

The matching works with these fields when I use the cut-off db but it does not with the consequential db.

What would be the reasons why these exchanges remain unlinked when switching to a consequential db?

Thank you !

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2 回答 2

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这是一个很长的镜头，但是当我安装 ecoinvent 3.4 的后续版本时，两个流程在此过程中被删除。它们存储在日志中。排出氮气、液体和残留木材，干燥

于 2018-08-16T16:59:53.390 回答
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额外的“无法解释的”未链接交换是由归因数据库和结果数据库之间的差异引起的不匹配交换（即一个不匹配的交换向下延伸到另一个不匹配）造成的。

主要区别在于库存中的过程，其中两个数据库之间的参考产品不同。

一个典型的例子是一个热电联产过程，以热量作为确定产品，在清单中使用以提供参考产品：“中压，电力”。在 CLCA 中，这不可能发生，因此策略只是在相应的数据库中寻找能够提供“中压、电力”作为其自己的参考产品的替代供应商。

一旦这些情况得到解决，匹配就可以完美地与fields=["name", "unit", "location"]

于 2018-08-30T07:28:49.843 回答