Calculation¶
Table of contents
Overview
Setup
Authentication Token
Query
Output Description
Related Links
Overview¶
The Calculation endpoint provides a versatile, general-purpose solution for emissions calculations across any activity type supported by the system. Unlike scope-specific endpoints that are tailored for particular use cases, this endpoint offers flexibility to handle a wide range of scenarios where specialized endpoints might not exist. It allows users to:
Calculate emissions from various activities like energy use, transportation, and material consumption
Specify location data to get region-specific calculations
Include date information to ensure time-relevant emission factors are used
Receive detailed breakdown of emissions by gas type (CO2, CH4, N2O, etc.)
The Calculation API serves as a versatile, general-purpose solution for emissions calculations that aren’t covered by specialized endpoints. It provides flexibility to handle a wide range of activity types using a consistent interface, automatically selecting appropriate emission factors based on the provided parameters. This API is particularly valuable when dealing with uncommon activities, when specialized endpoints don’t exist for specific use cases, or when organizations need to quickly implement emissions calculations without developing multiple integrations.
Setup¶
Ensure that you have Python installed in your system. Python 3+ is required.
Note: To run this notebook, you must first add your credentials to config.read('../../../auth/secrets.ini')
in the following format:
[EAPI]
api.api_key = <Your GHG APIs API key>
api.client_id = <Your GHG APIs client Id>
api.org_id = <Your GHG APIs Org Id>
[ ]:
# Install the packages below using pip/pip3 based on your python version.
%pip install pandas configparser IPython requests
[1]:
import pandas as pd
import configparser
import requests
import json
from IPython.display import display as display_summary
Authentication Token¶
Run the following code snippet to generate the Auth Bearer Token by using your api_key, client_id and org_id configured in secrets.ini.
[3]:
config = configparser.RawConfigParser()
config.read(['../../../auth/secrets.ini','../../../auth/config.ini'])
EAPI_API_KEY = config.get('EAPI', 'api.api_key')
EAPI_TENANT_ID = config.get('EAPI', 'api.tenant_id')
EAPI_ORG_ID = config.get('EAPI', 'api.org_id')
EAPI_AUTH_ENDPOINT = config.get('EAPI', 'api.auth_endpoint')
EAPI_BASE_URL = config.get('EAPI', 'api.base_url')
EAPI_ENDPOINT = f"{EAPI_BASE_URL}/calculation"
EAPI_AUTH_CLIENT_ID = 'saascore-' + EAPI_TENANT_ID
EAPI_CLIENT_ID = 'ghgemissions-' + EAPI_TENANT_ID
auth_request_headers: dict = {}
auth_request_headers["X-IBM-CLIENT-ID"] = EAPI_AUTH_CLIENT_ID
auth_request_headers["X-API-KEY"] = EAPI_API_KEY
verify = True
auth_url = f"{EAPI_AUTH_ENDPOINT}?orgId={EAPI_ORG_ID}"
response = requests.get(url = auth_url,
headers = auth_request_headers,
verify = verify
)
if response.status_code == 200:
jwt_token = response.text
print("Authentication Success")
else:
print("Authentication Failed")
print(response.text)
Authentication Success
Query¶
The example request payload (below) queries IBM Envizi - Emissions API with location data (India), activity information (adhesives with a value of 12 USD), and a specific date (January 4, 2024).
[4]:
payload = {
"location": {
"country": "ind"
},
"activity": {
"value": [
12
],
"type": "Adhesives",
"unit": [
"USD"
]
},
"time": {
"date": "2024-01-04"
}
}
[5]:
# Create the query headers
request_headers: dict = {}
request_headers["Content-Type"] = "application/json"
request_headers["x-ibm-client-id"] = EAPI_CLIENT_ID
request_headers["Authorization"] = "Bearer " + jwt_token
# Submit the request
response = requests.post(EAPI_ENDPOINT,
headers = request_headers,
data = json.dumps(payload))
For more information about allowable parameters for the payload, please see `Emissions API Developer Guide <>`__.
[6]:
if response.text != "":
# Get the response as json
response_json = response.json()
# Get json and convert to dataframe
json_str = json.dumps(response_json)
dict = json.loads(json_str)
dataframe = pd.json_normalize(dict)
# display
print("\n\n")
pd.set_option('display.max_colwidth', None)
display( dataframe)
else:
print("Empty Response")
transactionId | totalCO2e | CO2 | CH4 | indirectCO2e | unit | description | |
---|---|---|---|---|---|---|---|
0 | 9eb24f2a-7ef1-49cc-a057-0f31b6f36e16 | 9.096 | 8.376 | 0.6 | 0.396 | kgCO2e | The Adhesives emissions factor used to calculate this result was obtained from the Managed - eGRID & US Climate Leaders factor set for the area Earth year 2023. |
Output Description¶
transactionId - An Emissions API transaction id.
totalCO2e - The total emissions as CO2 equivalent (CO2e)
CO2 - The amount of CO2 (Carbon Dioxide) in the CO2e value.
CH4 - The amount of CH4 (Methane) in the CO2e value.
N2O - The amount of N2O (Nitrous Oxide) in the CO2e value.
HFC - The amount of HFCs (Hydrofluorocarbons) in the CO2e value.
PFC - The amount of PFCs (Perfluorocarbons) in the CO2e value.
SF6 - The amount of SF6 (Sulphur Hexafluoride) in the CO2e value.
NF3 - The amount of NF3 (Nitrogen Trifluoride) in the CO2e value.
bioCo2 - The amount of bio CO2 in the CO2 value.
indirectCo2e - The amount of CO2e that is indirect in the CO2e value.
unit - The unit of measure of the values.
description - A description of the source factor set of the factor used in the calculation.