Carbon Emission Footprint Estimation for Organizations.
\nCarbonSutra API and Google Sheet functions are used to estimate the carbon emission footprint by organizations and software developers for ESG, sustainability and compliance reporting with frameworks (eg, ISSB, TCFD, GSSB, CDP, BRSR, etc). It is also used in analyzing climate, environment and weather scenarios, mitigation, offsetting, green / net-zero projects and decarbonization programs. Using standards (GRI, SASB, IPCC), data sources (GRI, DEFRA, EPA, ECTA, GHSB, etc), GHG factors and transparent algorithms, the API and spreadsheet functions calculates and consolidates CO2 equivalent measurements for 1) business flight across economy, business and first class and global IATA airports; 2) employee office commute by rail, bus, taxi, motorbike and private cars; 3) rented or owned vehicle emissions by make, model, type and size; 4) freight and shipment using land, air, sea and intermodal ways; 5) fuel (coal, petrol, diesel, LPG , etc) for commercial, industrial, transport and residential usage; 6) electricity consumption for 90+ countries; 7) hotel stay based on class for 38 countries and 8) land-air based ecommerce shipping using advanced logistics logic. In addition, supplementary APIs are provided to find nearest airport from a postal code based on latitude and longitude, distance between two based on latlong and the names of airports based on keywords.
\nOur mission is to simplify the calculation of carbon emission footprint for organizations and software developers. We accomplish this by focusing on building quality algorithms and make them available through APIs and easy to use Google Sheets functions.
\nThree additional APIs are available for developers to ease the logic of front end applications - finding name and distance of nearest airport from a postal code, based on latitude and longitude, distance between two airports and list of airports based on a keyword.
\nWe have made access to APIs easy for non technical users by encapsulating them in functions designed for Google Sheets. These can be used by signing into RapidAPI and following the instructions at https://www.carbonsutra.com/emissions-by-google-sheets-functions.html
\nEmissions can be grouped in self-defined clusters and retrieved using the labels. This simplifies the need to store the results at developer's end. A key will need to be generated which is then passed as a Bearer Token in all calculations, so that the user can be identified and the results are securely delivered.
\nWe are experienced professionals with formal education and work in ClimateTech and have consulted reputed global organizations in data challenges across decarbonization pathways and connected systems through custom APIs. We have a rich roadmap for CarbonSutra with dozens of specialized algorithms planned for future release.
\n","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"23339876","collectionId":"fbe4ab60-124e-4d5c-b195-b882a1fcacf4","publishedId":"2s83zdukmv","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"303030","highlight":"FF6C37"},"publishDate":"2023-10-03T14:02:34.000Z"},"item":[{"name":"Emission Clusters","item":[{"name":"Register Key","id":"fcd542cc-3f1e-4ef8-8c66-8ea684e41629","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"body":{"mode":"formdata","formdata":[{"key":"email","value":"janice22@contactous.com","type":"text"},{"key":"password","value":"A Quick Brown Fox","type":"text"},{"key":"company_name","value":"Kruger-Brent Inc.","type":"text"}]},"url":"https://web.contactous.com/carbonsutra/public/api/v1/register_key","description":"Registration will enable you to cluster the emissions using self-defined labels. Register with your email address and a password to get a unique key, which can be used as Bearer Token in emission calculations along with cluster-name.
\n","urlObject":{"protocol":"https","path":["carbonsutra","public","api","v1","register_key"],"host":["web","contactous","com"],"query":[],"variable":[]}},"response":[{"id":"f774ae1f-3f59-4aec-8b47-b203dd6f3313","name":"RegisterKey","originalRequest":{"method":"POST","header":[],"body":{"mode":"formdata","formdata":[{"key":"email","value":"janice22@contactous.com","type":"text"},{"key":"password","value":"A Quick Brown Fox","type":"text"},{"key":"company_name","value":"Kruger-Brent Inc.","type":"text"}]},"url":"https://web.contactous.com/carbonsutra/public/api/v1/register_key"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 07 Oct 2022 05:29:30 GMT"},{"key":"Server","value":"Apache"},{"key":"Cache-Control","value":"no-cache, private"},{"key":"X-RateLimit-Limit","value":"60"},{"key":"X-RateLimit-Remaining","value":"59"},{"key":"X-XSS-Protection","value":"1; mode=block"},{"key":"Strict-Transport-Security","value":"max-age=31536000; includeSubDomains; preload"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Content-Secure-Policy","value":"default-src 'none'; script-src 'self' fonts.googleapis.com ; img-src *; style-src 'self';"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Content-Type","value":"application/json"}],"cookie":[],"responseTime":null,"body":"{\n \"data\": {\n \"email\": \"janice22@contactous.com\",\n \"CarbonSutra_API_KEY\": \"dT0RqbneJeT9Nnci0wNkE2HXE5juhzScnHmB4STLqKJccfEzAeC11qyXaZqK\"\n },\n \"success\": true,\n \"status\": 200\n}"}],"_postman_id":"fcd542cc-3f1e-4ef8-8c66-8ea684e41629"},{"name":"Retrieve Key","id":"3d3a79ce-4884-4441-995a-a28538547186","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"body":{"mode":"formdata","formdata":[{"key":"email","value":"janice22@contactous.com","type":"text"},{"key":"password","value":"A Quick Brown Fox","type":"text"}]},"url":"https://web.contactous.com/carbonsutra/public/api/v1/retrieve_key","description":"This retrieves an already registered key.
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\nUse the POST API of RegisterKey to obtain your API_KEY which will be used in all estimation calculations for which clustering is required. Your email address and a secret phrase (password) will be required to generate this key.
\nThe POST API of RetrieveKey will give you the key again if it was misplaced, as long as the correct password is entered.
\nNote that if clustering is not needed then you do not need API_KEY.
\nThe GET API of ClusterData returns all the estimations that were calculated for a specific cluster_name.
\n","urlObject":{"protocol":"https","path":["carbonsutra","public","api","v1","cluster_data"],"host":["web","contactous","com"],"query":[{"key":"cluster_name","value":""}],"variable":[]}},"response":[{"id":"b2ec5855-d20d-47e0-ab95-5eaaac795a73","name":"ClusterData","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://web.contactous.com/carbonsutra/public/api/v1/cluster_data?cluster_name=KrugerBrent-Jun22","protocol":"https","host":["web","contactous","com"],"path":["carbonsutra","public","api","v1","cluster_data"],"query":[{"key":"cluster_name","value":"KrugerBrent-Jun22"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 07 Oct 2022 05:42:32 GMT"},{"key":"Server","value":"Apache"},{"key":"Vary","value":"Authorization"},{"key":"Cache-Control","value":"no-cache, private"},{"key":"X-RateLimit-Limit","value":"60"},{"key":"X-RateLimit-Remaining","value":"59"},{"key":"X-XSS-Protection","value":"1; mode=block"},{"key":"Strict-Transport-Security","value":"max-age=31536000; includeSubDomains; preload"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Content-Secure-Policy","value":"default-src 'none'; script-src 'self' fonts.googleapis.com ; img-src *; style-src 'self';"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Content-Type","value":"application/json"}],"cookie":[],"responseTime":null,"body":"{\n \"data\": [\n {\n \"id\": \"fc490ca4-5c00-b124-9bbe-3554a4fdf6fb\",\n \"type\": \"estimate-travel-flight\",\n \"cluster_name\": \"KrugerBrent-Jun22\",\n \"attributes\": {\n \"type\": \"estimate-travel-flight\",\n \"add_rf\": \"N\",\n \"co2e_gm\": 6974671,\n \"co2e_kg\": 6974.67,\n \"co2e_lb\": 15376.36,\n \"co2e_mt\": 6.97,\n \"airport_to\": \"Los Angeles International Airport\",\n \"round_trip\": \"Y\",\n \"include_wtt\": \"Y\",\n \"airport_from\": \"Dubai International Airport\",\n \"flight_class\": \"Business\",\n \"iata_airport_to\": \"LAX\",\n \"iata_airport_from\": \"DXB\",\n \"number_of_passengers\": \"1\"\n },\n \"estimated_at\": \"2022-10-07 05:32:50\"\n },\n {\n \"id\": \"3295c76a-cbf4-caae-d33c-36b1b5fc2cb1\",\n \"type\": \"estimate-hotel-stay\",\n \"cluster_name\": \"KrugerBrent-Jun22\",\n \"attributes\": {\n \"type\": \"estimate-hotel-stay\",\n \"co2e_gm\": 80900,\n \"co2e_kg\": 80.9,\n \"co2e_lb\": 178.35,\n \"co2e_mt\": 0.08,\n \"country\": \"Australia\",\n \"city_name\": \"Sydney\",\n \"hotel_rating\": \"5\",\n \"number_of_rooms\": \"1\",\n \"number_of_nights\": \"2\"\n },\n \"estimated_at\": \"2022-10-07 05:34:57\"\n },\n {\n \"id\": \"735b90b4-5681-25ed-6c3f-678819b6e058\",\n \"type\": \"estimate-fuel\",\n \"cluster_name\": \"KrugerBrent-Jun22\",\n \"attributes\": {\n \"type\": \"estimate-fuel\",\n \"co2e_gm\": 19400623,\n \"co2e_kg\": 19400.62,\n \"co2e_lb\": 42770.61,\n \"co2e_mt\": 19.4,\n \"fuel_name\": \"Regular Petrol\",\n \"fuel_unit\": \"litre\",\n \"fuel_usage\": \"transport\",\n \"fuel_value\": \"7900\"\n },\n \"estimated_at\": \"2022-10-07 05:36:18\"\n },\n {\n \"id\": \"a3f390d8-8e4c-41f2-747b-fa2f1b5f87db\",\n \"type\": \"estimate-electricity\",\n \"cluster_name\": \"KrugerBrent-Jun22\",\n \"attributes\": {\n \"type\": \"estimate-electricity\",\n \"co2e_gm\": 337448100,\n \"co2e_kg\": 337448.1,\n \"co2e_lb\": 743938.08,\n \"co2e_mt\": 337.45,\n \"country_name\": \"UK\",\n \"electricity_unit\": \"MWh\",\n \"electricity_value\": \"1745\"\n },\n \"estimated_at\": \"2022-10-07 05:37:22\"\n },\n {\n \"id\": \"14bfa6bb-1487-5e45-bba0-28a21ed38046\",\n \"type\": \"estimate-vehicle\",\n \"cluster_name\": \"KrugerBrent-Jun22\",\n \"attributes\": {\n \"make\": \"BMW\",\n \"type\": \"estimate-vehicle\",\n \"model\": \"3 Series\",\n \"co2e_gm\": 3238074,\n \"co2e_kg\": 3238.07,\n \"co2e_lb\": 7138.65,\n \"co2e_mt\": 3.24,\n \"distance_unit\": \"mi\",\n \"distance_value\": \"7320\"\n },\n \"estimated_at\": \"2022-10-07 05:41:10\"\n }\n ],\n \"success\": true,\n \"status\": 200\n}"}],"_postman_id":"eac65944-1277-4daf-a4af-b584568b9b5b"}],"id":"20dc6a73-df11-46b7-a28f-6523da981b56","description":"Emissions can be grouped in self-defined labels into clusters. This eliminates the need to store the results at developer's end. A key will need to be generated which is then passed as a Bearer Token in all calculations, so that the user can be identified and the results are securely delivered.
\n","_postman_id":"20dc6a73-df11-46b7-a28f-6523da981b56"},{"name":"Supplementary APIs","item":[{"name":"Nearest Airport","id":"1aa01b94-2cc9-47d7-864b-3347ad0fa3cd","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://web.contactous.com/carbonsutra/public/api/v1/nearest-airport?country_code=IN&postal_code=248001","description":"Nearest airport from a postal code in a country, based on shortest distance between geographical coordinates.
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\nReturns the lists of airport names and IATA code which matches the keyword.
\nEndFragment
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\nThe APIs are:
\nThis calculation is used for reporting Scope 3 emissions for individuals flying for work purposes. The footprint of a flight travel is calculated based on the distance between airports and the travelling class of the passenger. With the origin and destination as inputs and following the ICAO methodology and EPA emissions factors, we apply appropriate rules based on research by IPCC.
\nOur algorithm calculates the distance between two airports, the IATA codes of which have been entered. The database has approx. 9,200 global airports and is regularly updated. Using the principles defined in ICAO methodology, the guidelines from UK BEIS (Department for Business, Energy and Industrial Strategy) and UK DEFRA (Department for Business, Energy and Industrial Strategy) are then applied to arrive at the footprint of that journey per-passenger in a particular class.
\nAs the ICAO does not apply the radiative forcing (RF) multiplier (accounting for the wider climate effect of emissions arising from aircraft transport at altitude) or distance uplift factor to account for delays/circling and non-direct routes (i.e., not along the straight-line/great-circle between destinations), we have added an option for you to factor it in the calculation. Use the \"add_rf\" field to add this factor.
\nWTT (well-to-tank) emissions consist of all processes between the source of the fuel (the well) through the extraction, processing (refining), storage and delivery phases up until the point of use (the tank) in the plane before take-off. Using the \"include_wtt\" field will add the upstream emission associated with this flight in the estimation.
\nThe following fields are ingested:
\nIATA AIRPORT CODE (FROM)
Mandatory. This is the three-character alphanumeric geocode of the airport from which the flight is originating.
IATA AIRPORT CODE (TO)
Mandatory. The IATA code of flight's destination airport.
FLIGHT CLASS
Optional. The class in which the passenger is travelling. The values are Economy, Premium, Business and First. If the entered value is blank or different from these four, an \"Average\" factor will be considered.
ROUND TRIP
Optional. A \"Y\" would mean the passenger is travelling back to the origin from destination, in the same class. A \"N\" would consider it as a single-way trip. Any other value other than \"N\" will default to this input being considered as a \"Y\".
ADD RF
Optional. A \"Y\" would add radiative forcing multiplier factor in the footprint calculation, while a \"N\" will bypass it. Any other value other than \"N\" will default to this input being considered as a \"Y\".
INCLUDE WTT
Optional. A \"Y\" would include the Well-to-Tank (WTT) factors to the footprint calculation, while a \"N\" will bypass it. Any other value other than \"N\" will default to this input being considered as a \"Y\".
NUMBER OF PASSENGERS
Optional. Default to 1, if a blank or an invalid value is entered.
Note: If there are two passengers in the same flight, but sitting in different classes then two separate API calls are suggested, one for each passenger.
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mode=block"},{"key":"Strict-Transport-Security","value":"max-age=31536000; includeSubDomains; preload"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Content-Secure-Policy","value":"default-src 'none'; script-src 'self' fonts.googleapis.com ; img-src *; style-src 'self';"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Content-Type","value":"application/json"}],"cookie":[],"responseTime":null,"body":"{\n \"data\": {\n \"type\": \"estimate-travel-flight\",\n \"iata_airport_from\": \"DXB\",\n \"airport_from\": \"Dubai International Airport\",\n \"iata_airport_to\": \"LAX\",\n \"airport_to\": \"Los Angeles International Airport\",\n \"flight_class\": \"Business\",\n \"round_trip\": \"Y\",\n \"add_rf\": \"N\",\n \"include_wtt\": \"Y\",\n \"number_of_passengers\": \"1\",\n \"co2e_gm\": 6974671,\n \"co2e_kg\": 6974.67,\n \"co2e_mt\": 6.97,\n \"co2e_lb\": 15376.36\n },\n \"success\": true,\n \"status\": 200\n}"},{"id":"460eac10-bab1-4ca1-b9fe-fe58a9df9196","name":"Dubai to LA, Round Trip in Business without RF or WTT","originalRequest":{"method":"POST","header":[],"body":{"mode":"raw","raw":"{\n \"cluster_name\":\"KrugerBrent-Jun22\",\n \"iata_airport_from\":\"DXB\",\n \"iata_airport_to\":\"LAX\",\n \"flight_class\":\"Business\",\n \"round_trip\":\"Y\",\n \"add_rf\":\"N\",\n \"include_wtt\":\"N\",\n \"number_of_passengers\":\"1\"\n}","options":{"raw":{"language":"json"}}},"url":"https://web.contactous.com/carbonsutra/public/api/v1/flight_estimate"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 04 Nov 2022 04:17:14 GMT"},{"key":"Server","value":"Apache"},{"key":"Vary","value":"Authorization"},{"key":"Cache-Control","value":"no-cache, private"},{"key":"X-RateLimit-Limit","value":"60"},{"key":"X-RateLimit-Remaining","value":"59"},{"key":"X-XSS-Protection","value":"1; 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Based on country and optionally entered city or region in that country along with rating of the hotel, the emission factor is calculated. Over 300 cities and regions across 38 countries are covered. The final emission is calculated based on number of rooms taken in the hotel and the length of the stay.
\nThe following fields are ingested:
\nCOUNTRY CODE
Mandatory. This is a ISO 3166-1 alpha-2 code, pointing to its ISO 3166-2 article. While the list of codes is available at Wikipedia's ISO 3166-1 alpha-2, we are listing the 38 countries and their 2 character codes below in the footnote. [1]
CITY NAME
Optional. Enter the city within the country where the hotel is based. The algorithm will search the database for the name and if it is not found, it will search for any emission factors associated with the region in which the city is located.
HOTEL RATING
Optional. The star rating of the hotel. Enter the value of \"2\" for a 2-star hotel. Similarly, \"3\", \"4\" and \"5\" will match the corresponding rating of the hotel. If this is not known then leave it as blank.
NUMBER OF NIGHTS
Optional. This is the length of the stay in the hotel. The default value is 1.
NUMBER OF ROOMS
Optional. The number of rooms taken in the hotel. The default value is 1. Note that the number of travelers staying in the same room do not matter.
[1]: Countries and ISO codes used in this API: Australia (au), Belgium (be), Brazil (br), Canada (ca), Chile (cl), China (cn), Colombia (co), Costa Rica (cr), Egypt (eg), France (fr), Germany (de), Hong Kong (hk), India (in), Indonesia (id), Italy (it), Japan (jp), Jordan (jo), Korea (kr), Malaysia (my), Maldives (mv), Mexico (mx), Netherlands (nl), Oman (om), Philippines (ph),Portugal (pt),Qatar (qa), Russian Federation (ru), Saudi Arabia (sa), Singapore (sg), South Africa (za), Spain (es), Switzerland (ch), Thailand (th), Turkey (tr), United Arab Emirates (ae), United Kingdom (gb), United States of America (us), Vietnam (vn).
\n","urlObject":{"path":["api","v1","hotel_estimate"],"host":["https://web.contactous.com/carbonsutra/public"],"query":[],"variable":[]}},"response":[{"id":"5565956e-6135-4e42-a59a-5e355f145e51","name":"Hotel Stay in Singapore (SG), with no value in city_name","originalRequest":{"method":"POST","header":[],"body":{"mode":"raw","raw":"{\n \"cluster_name\":\"KrugerBrent-Jun22\",\n \"country_code\":\"SG\",\n \"city_name\":\"\",\n \"hotel_rating\":\"5\",\n \"number_of_nights\":\"1\",\n \"number_of_rooms\":\"1\"\n}","options":{"raw":{"language":"json"}}},"url":"https://web.contactous.com/carbonsutra/public/api/v1/hotel_estimate"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 04 Nov 2022 05:29:03 GMT"},{"key":"Server","value":"Apache"},{"key":"Vary","value":"Authorization"},{"key":"Cache-Control","value":"no-cache, private"},{"key":"X-RateLimit-Limit","value":"60"},{"key":"X-RateLimit-Remaining","value":"59"},{"key":"X-XSS-Protection","value":"1; mode=block"},{"key":"Strict-Transport-Security","value":"max-age=31536000; includeSubDomains; preload"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Content-Secure-Policy","value":"default-src 'none'; script-src 'self' fonts.googleapis.com ; img-src *; style-src 'self';"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Content-Type","value":"application/json"}],"cookie":[],"responseTime":null,"body":"{\n \"data\": {\n \"type\": \"estimate-hotel-stay\",\n \"country\": \"Singapore\",\n \"city_name\": \"Singapore\",\n \"hotel_rating\": \"5\",\n \"number_of_nights\": \"1\",\n \"number_of_rooms\": \"1\",\n \"co2e_gm\": 39785,\n \"co2e_kg\": 39.79,\n \"co2e_mt\": 0.04,\n \"co2e_lb\": 87.72\n },\n \"success\": true,\n \"status\": 200\n}"},{"id":"1bda6eb4-ac07-45da-b8c0-1c70ea38b386","name":"Hotel Stay Example with city_name value","originalRequest":{"method":"POST","header":[],"body":{"mode":"raw","raw":"{\n \"cluster_name\":\"KrugerBrent-Jun22\",\n \"country_code\":\"AU\",\n \"city_name\":\"Sydney\",\n \"hotel_rating\":\"5\",\n \"number_of_nights\":\"2\",\n \"number_of_rooms\":\"1\"\n}","options":{"raw":{"language":"json"}}},"url":"https://web.contactous.com/carbonsutra/public/api/v1/hotel_estimate"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Fri, 07 Oct 2022 05:34:57 GMT"},{"key":"Server","value":"Apache"},{"key":"Vary","value":"Authorization"},{"key":"Cache-Control","value":"no-cache, private"},{"key":"X-RateLimit-Limit","value":"60"},{"key":"X-RateLimit-Remaining","value":"59"},{"key":"X-XSS-Protection","value":"1; mode=block"},{"key":"Strict-Transport-Security","value":"max-age=31536000; includeSubDomains; preload"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"Content-Secure-Policy","value":"default-src 'none'; script-src 'self' fonts.googleapis.com ; img-src *; style-src 'self';"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Content-Type","value":"application/json"}],"cookie":[],"responseTime":null,"body":"{\n \"data\": {\n \"type\": \"estimate-hotel-stay\",\n \"country\": \"Australia\",\n \"city_name\": \"Sydney\",\n \"hotel_rating\": \"5\",\n \"number_of_nights\": \"2\",\n \"number_of_rooms\": \"1\",\n \"co2e_gm\": 80900,\n \"co2e_kg\": 80.9,\n \"co2e_mt\": 0.08,\n \"co2e_lb\": 178.35\n },\n \"success\": true,\n \"status\": 200\n}"}],"_postman_id":"e107142b-79ff-46cc-b611-26ca39710621"},{"name":"Vehicles Estimates by Type","id":"5ba475c4-6dec-4b67-ad20-f6070e91f0c5","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"body":{"mode":"raw","raw":"{\r\n \"cluster_name\":\"VE-Oct-2022\",\r\n \"vehicle_type\":\"Car-Type-Supermini\",\r\n \"fuel_type\":\"petrol\",\r\n \"distance_value\":8800,\r\n \"distance_unit\":\"km\",\r\n \"include_wtt\":\"N\"\r\n}","options":{"raw":{"language":"json"}}},"url":"https://web.contactous.com/carbonsutra/public/api/v1/vehicle_estimate_by_type","description":"We calculate the footprint of a passenger vehicle based on its Type and Size, for a specific distance. For Scope 1, this should be used to report travel in vehicles that are owned or controlled by the reporting organization. If not owned/controlled by organization, the vehicle's emission is reported under Scope 3.
\nWe use emission factors, data, guidelines from sources like UK Government HGH factors, US Department of Energy, US Environmental Protection Agency and UK Society of Motor Manufacturers and Traders.
\nThe API to calculate the emission is simple: it just takes the category of vehicle based on its type or size, the type of fuel that is used and the distance travelled in either miles or kilometers.
\nWTT (well-to-tank) emissions consist of all processes between the source of the fuel (the well) through the extraction, processing (refining), storage and delivery phases up until the point of use (the tank) in the vehicle. Using the \"include_wtt\" field will add the associated upstream emission.
\nThe following fields are ingested for emission calculation API of vehicles:
\nVEHICLE TYPE
Mandatory. The acceptable values are the following: Car-Type-Mini, Car-Type-Supermini, Car-Type-LowerMedium, Car-Type-UpperMedium, Car-Type-Executive, Car-Type-Luxury, Car-Type-Sports, Car-Type-4x4, Car-Type-MPV, Car-Size-Small, Car-Size-Medium, Car-Size-Large, Car-Size-Average, Motorbike-Size-Small, Motorbike-Size-Medium, Motorbike-Size-Large, Motorbike-Size-Average, Bus-LocalAverage, Bus-Coach, Taxi-Local, Train-National, Train-Local and Train-Tram.
FUEL TYPE
Optional. There are 3 possible values here: Diesel, Petrol and Unknown. If in doubt, select the Unknown value, which is also the default.
DISTANCE VALUE
Mandatory. The distance travelled by vehicle.
DISTANCE UNIT
Mandatory. The acceptable values are \"km\" for kilometers and \"mi\" for miles. This will default to \"km\", if any other value is passed.
INCLUDE WTT
Optional. As explained above. The default value is \"Y\".
We calculate the footprint of a passenger vehicle based on its make and model, for a specific distance. For Scope 1, this should be used to report travel in vehicles that are owned or controlled by the reporting organization. If not owned/controlled by organization, the vehicle's emission is reported under Scope 3.
\nWe use emission factors, data, guidelines from sources like US Department of Energy, US Environmental Protection Agency and UK Society of Motor Manufacturers and Traders. To simplify the usage we have made two minor modifications in our algorithm: First, for dual fuel vehicles, the average of emissions from its conventional and alternative fuels is used. Second, if a model is released across multiple years by the same maker, then the emissions for that model are averaged.
\nThe API to calculate the emission is simple: it just takes the Make and Model of a vehicle along with the distance travelled to calculate the emission. But since our database contains over 140 Makes which cover 4,500 models of vehicles, we are providing two more APIs to get these values.
\nFirst, use the two GET APIs to get a list of Makes and then the specific Model from the selected Make.
\nThe following fields are ingested for emission calculation API of vehicles:
\nVEHICLE MAKE
Mandatory. Name of Vehicle Make (eg, Lexus)
VEHICLE MODEL
Mandatory. Name of Vehicle Model (eg, Camry) for the selected MAKE (eg, Toyota)
DISTANCE VALUE
Mandatory. The distance travelled by vehicle.
DISTANCE UNIT
Mandatory. The acceptable values are \"km\" for kilometers and \"mi\" for miles. This will default to \"mi\", if any other value is passed.
List of all Vehicle Makes
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\nThe following fields are ingested:
\nCOUNTRY NAME
Mandatory. The name of the country for which the emission is being measured. Including EU-27, we have compiled a database of 90 countries. To help you to pick the right name, we are listing the countries below in the footnote. [1]
ELECTRICITY VALUE
Optional. This will default to 1 unit, if left blank. It is the number of units of electricity consumed.
ELECTRICITY UNIT
Optional. The acceptable values are kWh and MWh. This will default to MWh, if left blank or if any other value is passed.
[1]: Countries used in this API: Australia, Austria, Bangladesh, Belgium, Bhutan, Brunei, Bulgaria, Cambodia, Canada, China, Croatia, Cyprus, Czechia, Denmark, Estonia, EU-27, Finland, France, Germany, Greece, Hong Kong, Hungary, Iceland, India, Indonesia, Ireland, Italy, Japan, Laos, Latvia, Lithuania, Luxembourg, Macao, Malaysia, Maldives, Malta, Mongolia, Myanmar, Nepal, Netherlands, New Zealand, North Korea, Norway, Pakistan, Papua New Guinea, Philippines, Poland, Portugal, Qatar, Romania, Singapore, Slovakia, Slovenia, South Korea, Spain, Sri Lanka, Sweden, Taiwan, Thailand, Turkey, UK, USA and Vietnam.
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\nThe following fields are ingested:
\nFUEL USAGE
Mandatory. The usage of the fuel can be entered as either \"commercial\", \"industrial\", \"transport\" or \"residential\". If left blank, it will default to \"commercial\". Note that \"commercial\" is to be used for fuels used at sites or properties where commercial activities take place. \"industrial\" is used when combustion takes place at sites where industrial processes occur or within engines that support industrial activities. \"residential\" can be applied for fuel used primarily at residential properties. \"transport\" in this category is for the fuel used in an engine to move a vehicle.
FUEL NAME
Mandatory. A blank value will result in an error. Described here are the fuel types (written within quotes) are to be used. They are divided into categories for ease of understanding:
* Petrol: Two types of petrol can be used under the fuel_usage category of transport. They are \"Premium Petrol\" and \"Regular Petrol\".\n* Coal: Four ranks of coal can be used under any of the fuel_usage categories of commercial, industrial or residential. The values are: \"Coal - Default\", \"Coal - Bituminous\", \"Coal - Sub-Bituminous\" and \"Coal - Lignite\".\n* Diesel: Use \"Diesel\" under any of the fuel_usage categories of commercial, industrial or transport.\n* LPG: Use \"LPG\" under any of the fuel_usage categories of commercial, industrial or transport.\n* Fuel Oils: Two types of fuel oils can be used under the fuel_usage categories of commercial, industrial or transport. They are \"Heavy Fuel Oil\" and \"Light Fuel Oil\".\n* Natural Gas: Use \"Natural Gas\" under fuel_usage categories of commercial or industrial.\n* Aviation Fuels: Use \"Aviation fuel - Kerosene\" or \"Aviation gas\" under fuel_usage value of transport.
\nFUEL VALUE
Mandatory. A blank value will result in an error. The unit of fuel_value is fixed for the categories of fuel as per the following rules:
* Petrol: \"litre\"\n* Coal: \"kg\"\n* Diesel: \"litre\"\n* LPG: \"kg\"\n* Fuel Oils: \"litre\"\n* Natural Gas: \"kWh\"\n* Aviation Fuels: \"litre\"
\n[1] These could be reported as Scope 3 indirect emissions if the organization does not own or control the asset (eg, a boiler) where the combustion takes place.
\n[2] It should be noted that the footprint calculated here does not use the full fuel-cycle emission factors and hence do not incorporate the indirect (Scope 3) emissions associated with the extraction, production and transport of the fuel.
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\nDeep sea (value: DeepSea) shipping refers to the maritime transport of goods on intercontinental routes, crossing oceans as opposed to short sea (value: ShortSea) shipping over relatively short distances.
\nTwo additional calculations for Intermodal shipping are available: 1) Road with Rail and 2) Road with Short Sea. In both cases, the road distance is assumed to be 10% of the entire journey.
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\nThis is an advanced algorithm to estimate the emissions of a package's journey from its shipment location to the collection point. If the distance between two postal codes is above a threshold, we find the nearest airports from the origin and then from the destination location. The final distance of journey is then a sum of the distance between the origin postal code and nearest airport by land, air travel between the airports closest to the origin and the destination and finally, land travel between destination airport and postal code of collection point by land. The final calculation follows ECTA/Cefic and BEIS/DEFRA's recommended conversion factors and works on a database of over 1.5 million postal codes across 95 countries and 9,200 global airports.
\nEndFragment
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