With version 3, we have adopted the new ecoSpold 2 data format. While the data format may not concern you much, the new capabilities of the format may interest you. First of all, the commenting and documentation functions of the datasets have been greatly increased. While very useful, the old documentation in the reports needed to be opened separately and searched for the correct information, and changes were only documented in separate change reports. With the new data format, we can provide more documentation directly within the dataset. This allows e.g. the tool providers to give you better direct access to the information on where and how a dataset was generated and where the values originate, and modifications and updates of the data on the inventory are now more easily traceable. We have encouraged our new data providers to use this feature – the old datasets still refer to the existing reports if they have not been updated. Many users will also be happy to hear that the reports that have so far been available only in German are now also available in English on the file section of the ecoinvent database version 3.0.
- Importing Ecoinvent Database In Ecospold Format For Mac Free
- Importing Ecoinvent Database In Ecospold Format For Mac Windows 10
The data format also allows us to use mathematical relations and other calculation aides within the dataset.
This report contains the adapted and extended quality guidelines for ecoinvent v3. It was established to ensure a coherent data acquisition and reporting across the various activity areas and data. Importing ecoinvent database in Ecospold format for Mac; How to import XML file from Waste Tools 2017? Can we specify flow provider in EcoSpold 1? Failed to export process or product system to JSON-LD; Is it possible to export selected processes from openLCA v 1.6.3. To an older version of openLCA (e.g. I would like to know if it exists a Mac version of EcoEditor. Indeed, I've many problems to run the 'EcoEditor.exe' (developed for PC) on my Mac even if with an emulator such as PlayOnMac (Wine). https://downjload681.weebly.com/the-simpsons-game-ps3-eu-iso.html. If it not exist alternative solutions for EcoEditor, what kind of software — freeware — does the community recommend to create EcoSpold document? Drag and drop to import the data in ecoSpold format, and wait until the zip file is successfully analysed. Click Continue as soon as you have reviewed the warnings and errors that appeared. Here you can also download the import report.
Dec 05, 2019 The tool creates a Ecospold 2 - XML file that can be edited further in EcoEditor (ecoinvent). I was able to do so, but I can`t import the same file into my ecoinvent database in OpenLCA. After trying all the import options, nothing happens. I know how to import zolca files, but it is not working out for XML files.
Importing Ecoinvent Database In Ecospold Format For Mac Free
There are many new functionalities – at the same time we have worked hard to create a new version that still feels comfortable and familiar. To first orient yourself in ecoinvent version 3, we think it is enough to summarise that
- there is a choice of system models for different modelling approaches,
- there is now a difference between product and activity (process) names,
- there are now consumption mixes, called markets, and in the ecoinvent supply chains they typically connect the producers and consumers,
- that during allocation, recycling products are allocated at the point of substitution, which changes the way these datasets look and may result in long lists of flows,
- and that results have in many cases changed enough to make comparisons with older studies difficult.
With thousands of new and updated datasets, more global supply chains and all the other features, the LCIA results of many products changed – sometimes significantly. Omnisphere 2 crack win zippyshare. Consequently, comparing results of version 3 to results of older ecoinvent versions, e.g. Surpac crack keygen serial key. version 2.2, requires taking these changes into account. Using both versions in e.g. a sensitivity analysis can be enlightening and can help you understand the new version, but we explicitly advise against unchecked comparing of results of studies based on version 3 to results of other studies based on older versions of ecoinvent – as we have also advised users in previous updates. In our analysis, especially the update of the electricity sector (which affects almost all life cycles), the increased significance of non-European data and the changes in the transport distances for many products are often the main reasons for changes due to upstream data, but naturally this varies from dataset to dataset.
![Importing Ecoinvent Database In Ecospold Format For Mac Importing Ecoinvent Database In Ecospold Format For Mac](https://docplayer.net/docs-images/60/44758529/images/54-4.png)
Released:
An interactive tool for creating fully parameterised Life Cycle Assessment (LCA) foreground models
Project description
# lcopt
An interactive tool for creating fully parameterised Life Cycle Assessment (LCA) foreground models
[![Build Status](https://travis-ci.org/pjamesjoyce/lcopt.svg?branch=master)](https://travis-ci.org/pjamesjoyce/lcopt)
[![Coverage Status](https://coveralls.io/repos/github/pjamesjoyce/lcopt/badge.svg?branch=master)](https://coveralls.io/github/pjamesjoyce/lcopt?branch=master)
Lcopt is a python module for creating fully parameterised LCA foreground models using a Flask based interactive GUI developed by [James Joyce](https://pjamesjoyce.github.io/)
It integrates with SimaPro and BrightWay2
Online documentation, including full installation instructions, is available [here](http://lcopt.readthedocs.io)
## Installation
### Basic Installation
For lcopt to work you should have the latest version of [brightway2](https://brightwaylca.org/) by Chris Mutel installed.
This will make sure most of lcopts dependencies are satisfied.
The instructions for installing brightway below are current as of April 2017, but check [here](https://docs.brightwaylca.org/installation.html) for the latest ones.
On the command line/console, create a new environment called lcopt:
```
conda create -n lcopt python=3.6
```
Then activate the lcopt environment using one of these:
```
# Mac/Linux
source activate lcopt
# Windows
activate lcopt
```
Then install brightway2:
```
conda install -y -q -c conda-forge -c cmutel -c haasad brightway2 jupyter
```
On windows there's an extra dependency:
```
conda install -y -q pywin32
```
Once brightway2 is ready to go, theres two more steps before installing lcopt itself.
Install pandas:
```
conda install -y -q pandas
```
Update werkzeug (this is a python 3.6 thing.):
```
pip install -U werkzeug
```
Finally, install lcopt via pip::
```
pip install lcopt
```
### Linking lcopt to brightway
To analyse any of the models you create in lcopt in brightway, there's an extra installation step to set up the default project and databases.
Full details of this step are in the [documentation](https://lcopt.readthedocs.io/en/latest/1_installation.html#setting-up-brightway2-for-lcopt)
Lcopt can create models using external LCI data from the [ecoinvent 3.3 cutoff database](http://www.ecoinvent.org/database/ecoinvent-33/ecoinvent-33.html) (ecoinvent license required) or the [FORWAST database](http://forwast.brgm.fr/)
Briefly, to set up lcopt to use ecoinvent 3.3:
Log into [ecoinvent.org](http://www.ecoinvent.org/login-databases.html) and go to the Files tab
Download the file called `ecoinvent 3.3_cutoff_ecoSpold02.7z`
Extract the file somewhere sensible on your machine, you might need to download [7-zip](http://www.7-zip.org/download.html) to extract the files.
Make a note of the folder path that contains the .ecospold files, its probably `<path/extracted/to>/datasets/`
Open a python console or jupyter notebook and use the setup utility function below:
```python
from lcopt.utils import lcopt_bw2_setup
ecospold_path = r'path/to/ecospold/files' # put your own path in here
lcopt_bw2_setup(ecospold_path)
```
To set up lcopt to use FORWAST there's no download step (the utility function downloads the latest version of the database). Simply use:
```python
from lcopt.utils import lcopt_bw2_forwast_setup
lcopt_bw2_forwast_setup()
```
## Example Usage
Below are the basic commands to get lcopt's interactive GUI up and running to create your first model. More detailed instructions are available in the [online documentation](https://lcopt.readthedocs.io/en/latest/2_use.html), including a [video runthrough](https://lcopt.readthedocs.io/en/latest/3_video_runthrough.html) of creating a simple model using the ecoinvent 3.3 database.
Lcopt saves models in your current working directory, so before launching it, `cd` to the folder you want to save your models in.
Lcopt is written in Python, so to use it open up a jupyter notebook or python shell and use the following commands
### Importing Lcopt
To import lcopt use
```python
from lcopt import *
```
### Creating a new model
To create a model, you need to create an instance of the LcoptModel class using the model name as the first argument:
```python
model = LcoptModel('My First Model')
```
By default the model will be populated in the background with the details to link to the ecoinvent 3.3 datasets. If you want your model to use FORWAST instead use:
```python
model = LcoptModel('My First FORWAST Model', useForwast=True)
```
### Loading an existing model
To load a model, make sure the file (*.lcopt) is in your working directory and use the model name (with or without the .lcopt extension) in this command:
```python
model = LcoptModel(load='My First Model')
```
Note : If you accidentally forget to use `load=` and you see a blank model don't panic. Lcopt won't overwrite your saved model unless you tell it to. Simply don't save the model and re-run the command with `load=`
### Launching the GUI
To launch the GUI for your model simply call the `launch_interact` method of your newly created model instance:
```python
model.launch_interact()
```
This will start a Flask server and launch your web browser to access the GUI. If it doesn't or you accidentally close the GUI tab, simply go to [http://127.0.0.1:5000/](http://127.0.0.1:5000/).
Information on how to use the GUI is located in 'More info.' panels dotted around at sensible locations within it.
For more details on using it, see the [documentation](https://lcopt.readthedocs.io/en/latest/2_use.html) or the [video](https://lcopt.readthedocs.io/en/latest/3_video_runthrough.html)
## Contribute
If you have any problems, questions, comments, feature requests etc. please [raise an issue here on github](https://github.com/pjamesjoyce/lcopt/issues)
If you want to contribute to Lcopt, you're more than welcome! Please fork the [github repository](https://github.com/pjamesjoyce/lcopt/) and open a pull request.
Lcopt uses [py.test](https://docs.pytest.org/en/latest/index.html>) and Travis for automated testing, so please accompany any new features with corresponding tests. See the `tests` folder in the [source code](https://github.com/pjamesjoyce/lcopt/tree/master/tests) for examples.
An interactive tool for creating fully parameterised Life Cycle Assessment (LCA) foreground models
[![Build Status](https://travis-ci.org/pjamesjoyce/lcopt.svg?branch=master)](https://travis-ci.org/pjamesjoyce/lcopt)
[![Coverage Status](https://coveralls.io/repos/github/pjamesjoyce/lcopt/badge.svg?branch=master)](https://coveralls.io/github/pjamesjoyce/lcopt?branch=master)
Lcopt is a python module for creating fully parameterised LCA foreground models using a Flask based interactive GUI developed by [James Joyce](https://pjamesjoyce.github.io/)
It integrates with SimaPro and BrightWay2
Online documentation, including full installation instructions, is available [here](http://lcopt.readthedocs.io)
## Installation
### Basic Installation
For lcopt to work you should have the latest version of [brightway2](https://brightwaylca.org/) by Chris Mutel installed.
This will make sure most of lcopts dependencies are satisfied.
The instructions for installing brightway below are current as of April 2017, but check [here](https://docs.brightwaylca.org/installation.html) for the latest ones.
On the command line/console, create a new environment called lcopt:
```
conda create -n lcopt python=3.6
```
Then activate the lcopt environment using one of these:
```
# Mac/Linux
source activate lcopt
# Windows
activate lcopt
```
Then install brightway2:
```
conda install -y -q -c conda-forge -c cmutel -c haasad brightway2 jupyter
```
On windows there's an extra dependency:
```
conda install -y -q pywin32
```
Once brightway2 is ready to go, theres two more steps before installing lcopt itself.
Install pandas:
```
conda install -y -q pandas
```
Update werkzeug (this is a python 3.6 thing.):
```
pip install -U werkzeug
```
Finally, install lcopt via pip::
```
pip install lcopt
```
### Linking lcopt to brightway
To analyse any of the models you create in lcopt in brightway, there's an extra installation step to set up the default project and databases.
Full details of this step are in the [documentation](https://lcopt.readthedocs.io/en/latest/1_installation.html#setting-up-brightway2-for-lcopt)
Lcopt can create models using external LCI data from the [ecoinvent 3.3 cutoff database](http://www.ecoinvent.org/database/ecoinvent-33/ecoinvent-33.html) (ecoinvent license required) or the [FORWAST database](http://forwast.brgm.fr/)
Briefly, to set up lcopt to use ecoinvent 3.3:
Log into [ecoinvent.org](http://www.ecoinvent.org/login-databases.html) and go to the Files tab
Download the file called `ecoinvent 3.3_cutoff_ecoSpold02.7z`
Extract the file somewhere sensible on your machine, you might need to download [7-zip](http://www.7-zip.org/download.html) to extract the files.
Make a note of the folder path that contains the .ecospold files, its probably `<path/extracted/to>/datasets/`
Open a python console or jupyter notebook and use the setup utility function below:
```python
from lcopt.utils import lcopt_bw2_setup
ecospold_path = r'path/to/ecospold/files' # put your own path in here
lcopt_bw2_setup(ecospold_path)
```
To set up lcopt to use FORWAST there's no download step (the utility function downloads the latest version of the database). Simply use:
```python
from lcopt.utils import lcopt_bw2_forwast_setup
lcopt_bw2_forwast_setup()
```
## Example Usage
Below are the basic commands to get lcopt's interactive GUI up and running to create your first model. More detailed instructions are available in the [online documentation](https://lcopt.readthedocs.io/en/latest/2_use.html), including a [video runthrough](https://lcopt.readthedocs.io/en/latest/3_video_runthrough.html) of creating a simple model using the ecoinvent 3.3 database.
Lcopt saves models in your current working directory, so before launching it, `cd` to the folder you want to save your models in.
Lcopt is written in Python, so to use it open up a jupyter notebook or python shell and use the following commands
### Importing Lcopt
To import lcopt use
```python
from lcopt import *
```
### Creating a new model
To create a model, you need to create an instance of the LcoptModel class using the model name as the first argument:
```python
model = LcoptModel('My First Model')
```
By default the model will be populated in the background with the details to link to the ecoinvent 3.3 datasets. If you want your model to use FORWAST instead use:
```python
model = LcoptModel('My First FORWAST Model', useForwast=True)
```
### Loading an existing model
To load a model, make sure the file (*.lcopt) is in your working directory and use the model name (with or without the .lcopt extension) in this command:
```python
model = LcoptModel(load='My First Model')
```
Note : If you accidentally forget to use `load=` and you see a blank model don't panic. Lcopt won't overwrite your saved model unless you tell it to. Simply don't save the model and re-run the command with `load=`
### Launching the GUI
To launch the GUI for your model simply call the `launch_interact` method of your newly created model instance:
```python
model.launch_interact()
```
This will start a Flask server and launch your web browser to access the GUI. If it doesn't or you accidentally close the GUI tab, simply go to [http://127.0.0.1:5000/](http://127.0.0.1:5000/).
Information on how to use the GUI is located in 'More info.' panels dotted around at sensible locations within it.
For more details on using it, see the [documentation](https://lcopt.readthedocs.io/en/latest/2_use.html) or the [video](https://lcopt.readthedocs.io/en/latest/3_video_runthrough.html)
## Contribute
If you have any problems, questions, comments, feature requests etc. please [raise an issue here on github](https://github.com/pjamesjoyce/lcopt/issues)
If you want to contribute to Lcopt, you're more than welcome! Please fork the [github repository](https://github.com/pjamesjoyce/lcopt/) and open a pull request.
Lcopt uses [py.test](https://docs.pytest.org/en/latest/index.html>) and Travis for automated testing, so please accompany any new features with corresponding tests. See the `tests` folder in the [source code](https://github.com/pjamesjoyce/lcopt/tree/master/tests) for examples.
![Ecoinvent Ecoinvent](https://phoenixlasopa699.weebly.com/uploads/1/2/6/3/126349195/406252773.jpg)
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