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. Software providers can contact the ecoinvent team for help to become ecoSpold2 compatible. The open source ecoSpold data format version 1 (ecoSpold1) was launched in 2000 and has been the most widely used data exchange format for LCI data. Ecoinvent was the first to use this data format for their own LCI database.
- Importing Ecoinvent Database In Ecospold Format For Mac Windows 10
- Importing Ecoinvent Database In Ecospold Format For Mac Windows 10
- Importing Ecoinvent Database In Ecospold Format For Mac Free
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.
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In the past decade, ecoinvent has established itself as a global leader in creating the most transparent life cycle inventory databases. The ecoinvent database helps companies manufacture products more in harmony with the environment, policy makers implement new policies, and consumers adopt more environmentally friendly behaviour.
Importing Ecoinvent Database In Ecospold Format For Mac Windows 10
The current version of the ecoinvent database is ecoinvent version 3.6, which builds on the previous versions of the database. Purchasing an ecoinvent licence will grant you access to ecoinvent version 3 as well as all previous versions (version 1 and version 2) of the database.
Useful Links
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ecoinvent version 3 is yearly updated. With the sixth update, which was released in September 2019, over 2,200 new and 2,500 updated datasets were added covering a variety of sectors.
New & Updated Data
The ecoinvent 3 database offers new and updated datasets in the fields of electricity production, wood sector, recycling activities, chemical production, fruit and vegetables, and many other sectors.
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Consistent modelling of water inputs and outputs throughout the whole database for impact of water use and consumption make it easier to conduct water footprinting analysis.
More System Models
Importing Ecoinvent Database In Ecospold Format For Mac Windows 10
ecoinvent is the only major LCI database supporting three system models: Cut-Off,
APOS and Consequential. The proclaimers torrent tpb.
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All products in our database now come with information on physical and other properties, such as dry mass, wet mass, carbon content.
New Global Supply Chains
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Version 3 of ecoinvent contains global supply chains for many products, allowing a more integrated perspective on products and processes. All products are therefore also provided by markets.
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Gain access to our fully transparent life cycle inventory database. Become a user directly through ecoinvent or through one of our resellers. Buy a licence
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You are still using ecoinvent version 2? P2p ip camera software for mac. Time to start exploring version 3! Find out how to upgrade directly with us or through one of our resellers as well as the price list for upgrades.
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Importing Ecoinvent Database In Ecospold Format For Mac Free
The yearly maintenance was introduced with the release of ecoinvent 3 and grants users access to updates of the third version of the database. Yearly Maintenance