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A system for Carbon Footprint Assessment and Offset Projection
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ORDINARY APPLICATION
Published
Filed on 8 November 2024
Abstract
ABSTRACT A system for Carbon Footprint Assessment and Offset Projection The "integrated model for carbon footprint assessment and offset projection" addresses critical needs by providing an efficient and automated solution that consolidates carbon footprint measurement, emission prediction, and offset calculation within a unified framework. By employing standardized carbon footprint values across various activities and incorporating tree-based offset strategies, the model empowers users to meticulously assess their ecological impact and make informed sustainability decisions. This holistic approach not only mitigates the complexities associated with carbon management but also positions users to contribute meaningfully to global efforts targeting climate change. FIG.1
Patent Information
Application ID | 202441086022 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 08/11/2024 |
Publication Number | 46/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr. (Mrs.) Subrata Borgohain Gogoi | Department of Petroleum Technology, Dibrugarh University Dibrugarh-786004, Assam, India | India | India |
Bhaskar Jyoti Deka | Oilmax Energy Pvt Ltd, 3-A, Runwal & Omkar Esquare, Chunabhatti Signal, Eastern Express Hwy, Sion, Mumbai, Maharashtra 400022 | India | India |
Pranab Boral | Department of Petroleum Technology, Dibrugarh University Dibrugarh-786004, Assam, India | India | India |
Dr. Borkha Mech | Department of Petroleum Technology, Dibrugarh University Dibrugarh-786004, Assam, India | India | India |
Dr. Deepjyoti Mech | Itgalpur, Rajanakunte, Bengaluru, Karnataka – 560 064, India | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Presidency University | Itgalpur, Rajanakunte, Bengaluru, Karnataka – 560 064, India | India | India |
Specification
Description:FIELD OF THE INVENTION
The present invention generally relates to a system designed to calculate carbon emissions and carbon offsets to compensate for the carbon emissions.
BACKGROUND OF THE INVENTION
All sectors and the use of fossil fuels and electricity contribute to carbon emissions, which increase the global concentration of Greenhouse Gases (GHG). In an Effluent Treatment Plant (ETP), carbon emissions typically pertain to the greenhouse gases released during the treatment of wastewater and various industrial effluents. These emissions can arise from multiple processes and sources within the facility. Key contributors to carbon emissions in ETPs include energy consumption, biological processes, and chemical reactions that produce CO2 and other gases as byproducts. Consistent monitoring and reporting of these emissions are essential for evaluating the effectiveness of emission reduction measures and ensuring adherence to environmental regulations.
US20100030608 presents a system and method for a carbon calculator that includes the determination of carbon offsets; however, the scope of this system and method is limited to the transportation of shipments.
IN202441065196 discloses system for estimating carbon emissions and offsetting presents a framework for quantifying greenhouse gas emissions from the Exploration and 5 Production (E&P) sector of the oil and gas industry only.
Thus, there is need to develop a comprehensive system designed to reliably assess the level of emissions requiring offsetting would significantly benefit both energy-producing and energy-consuming industries, as well as the broader public. Such advancements would enhance transparency and accountability in emissions reduction efforts, fostering a more sustainable future.
OBJECTS OF THE INVENTION
It is the object of the invention to introduce a novel Python-based system intended to evaluate the extent of emissions that necessitate offsetting, thereby offering substantial advantages to both energy-producing and energy-consuming sectors.
SUMMARY OF THE INVENTION
The present invention introduces a method for evaluating carbon emissions and executing offset strategies through a structured process. This process initiates with gathering user input on annual consumption data and anticipated growth rates in critical sectors such as electricity, liquefied petroleum gas (LPG), transportation distance, and waste generation. By employing sophisticated computational techniques, the method computes and presents the net carbon emissions, as well as the number of trees necessary for daily and annual offsets. Furthermore, it forecasts future emissions over a ten-year period, providing a thorough and accurate assessment. results based on user-provided data, thus facilitating effective carbon management and environmental sustainability.
The method for estimating carbon emissions and offsetting is implemented through python-based calculator featuring a Central Processing Unit (CPU) designed for executing various calculation methods. This system comprises a memory unit to store essential input data, methodologies, and intermediate computational outcomes. Furthermore, it includes a display unit that offers graphical user interfaces for seamless input, output, and data visualization. User interaction is facilitated by input devices such as a keyboard and mouse, while a Graphics Processing Unit (GPU) enhances the capability for high-speed graphical visualizations. Additionally, the method incorporates standard libraries for graphical user interface development alongside a mathematical library to perform necessary calculations, thereby ensuring accuracy and efficiency in the estimation process.
BRIEF DESCRIPTION OF THE FIGURES
Fig.1 is a flow diagram showing steps of the process performed according to the present invention.
DETAILED DESCRIPTION OF THE INVENTION
The present invention pertains to an Integrated Model for Carbon Footprint Assessment and Offset Projection, designed to provide individuals and organizations with a comprehensive tool to evaluate and manage their carbon emissions. This model leverages a series of predefined constants to calculate the carbon footprint associated with various activities, including electricity consumption, LPG usage, transportation, and waste generation. By inputting relevant data, users can determine their current annual carbon emissions in kilograms of CO₂ equivalents. Furthermore, the model incorporates a projection mechanism that forecasts future carbon emissions over a specified period, typically ten years, based on an anticipated annual growth rate. This forward-looking feature enables users to understand the potential escalation of their carbon footprint and plan accordingly.
In addition to assessment and projection, the model offers actionable insights for carbon offsetting by calculating the number of trees required to absorb the projected CO₂ emissions, considering the average CO₂ absorption capacity of a single tree per year. It also estimates the financial investment necessary for tree planting initiatives, providing users with both environmental and economic perspectives on mitigating their carbon impact. The integration of these functionalities into a single, automated system promotes sustainability by facilitating informed decision-making and encouraging proactive measures to reduce greenhouse gas emissions.
The present invention introduces a method for evaluating carbon emissions and executing offset strategies through a structured process. This process initiates with gathering user input on annual consumption data and anticipated growth rates in critical sectors such as electricity, liquefied petroleum gas (LPG), transportation distance, and waste generation. By employing sophisticated computational techniques, the method computes and presents the net carbon emissions, as well as the number of trees necessary for daily and annual offsets. Furthermore, it forecasts future emissions over a ten-year period, providing a thorough and accurate assessment. results based on user-provided data, thus facilitating effective carbon management and environmental sustainability.
The method for estimating carbon emissions and offsetting is implemented through a sophisticated Python-based Carbon Footprint Calculator that serves as the foundation for the integrated model.
The calculator employs a set of constants representing the average carbon footprint per unit of various activities:
Electrical Energy Consumption: Uses a constant of 0.527 kg CO₂ equivalents per kilowatt-hour (kWh) to account for emissions from electricity usage.
LPG Consumption: Utilizes 2.75 kg CO₂ equivalents per liter of LPG to measure emissions from fuel usage.
Transportation: Applies 0.118 kg CO₂ equivalents per km travelled to quantify emissions from transportation.
Waste Generation: Incorporates 0.25 kg CO₂ equivalents per kg of waste to evaluate emissions from waste disposal.
These constants provide a standardized basis for calculating emissions across different sectors, ensuring consistency and reliability in the assessment process. The model extends beyond mere calculation by incorporating projection capabilities. It allows users to estimate future carbon emissions over a decade, factoring in an anticipated annual growth rate. This projection is crucial for understanding potential trends in emissions and for planning long-term sustainability strategies.
To address the imperative of carbon offsetting, the model integrates a mechanism to calculate the number of trees required to absorb the projected CO₂ emissions. With each tree capable of absorbing approximately 21.77 kg CO₂ per year, the model translates emission metrics into tangible environmental actions. Additionally, it estimates the financial cost of planting the necessary number of trees, using a predefined cost of 5.257 INR per tree. This dual focus on environmental and economic aspects provides users with a comprehensive view of their carbon offsetting efforts.
The culmination of these features into a single, automated system represents a significant advancement in carbon footprint management. By offering a user-friendly interface that guides users through inputting their consumption data, calculating current and projected emissions, and determining offset requirements and costs, the model democratizes access to effective carbon management tools. This innovation not only facilitates individual and organizational efforts to reduce their carbon footprint but also contributes to broader environmental sustainability goals by promoting informed and actionable carbon offsetting practices.
The Carbon Footprint Calculator is a computational tool designed to quantify an individual's or organization's carbon emissions from key activities and sources. The calculator allows users to input their annual energy consumption, LPG usage, transportation distance, and waste production, and based on these inputs, it computes the total carbon footprint in terms of CO₂ equivalents. Furthermore, the calculator projects carbon emissions over a fixed period (e.g., 10
years) using a user-specified growth rate and provides recommendations for offsetting these emissions through tree planting. The model calculates the number of trees needed and the associated cost for offsetting the projected carbon emissions, thus offering a comprehensive approach to managing and mitigating one's carbon impact.
Referring to FIG.1, The innovative python-based calculator steps performed according to the present invention. The method for estimating carbon emission and offsetting the said method is executed using a system equipped with a Processing Unit (CPU) configured to execute calculation methods.
Methodology
The methodology for the Carbon Footprint Calculator is outlined in the following steps:
Input Collection: Users are prompted to enter their annual consumption data for electricity, LPG, transportation distance, and waste production. Additionally, they are asked to provide an expected annual growth rate.
Carbon Footprint Calculation: The calculator applies emission factors to each input to determine the current total carbon footprint.
Projection of Carbon Emissions: Based on the current footprint and the specified growth rate, the calculator projects future emissions over a 10-year period.
Offset Estimation: The number of trees required to offset the projected emissions is calculated using an industry-accepted constant for the amount of CO2 absorbed by trees.
Cost Calculation: The financial cost for planting the required number of trees is determined.
Output: The tool provides users with their current carbon footprint, the projected footprint in 10 years, the number of trees needed for offset, and the total cost for tree planting.
Key software components integrated into the innovative Python-based calculator:
The script creates a GUI application for calculating carbon emissions from net carbon footprints in an ETP process. Users input the number of footprints and flow rate. The application calculates the daily carbon footprint, the number of trees required to offset the emissions, and displays these results. The GUI is built using Tkinter, and the application handles errors elegantly.
1.Imports:
Tkinter: tkinter as tk, Imports the Tkinter library for creating the GUI application.
simpledialog, messagebox: Imports specific Tkinter modules for simple dialog boxes and message boxes.
math: Imports the math module for mathematical operations.
The system uses the Tkinter library to create a Graphical User Interface (GUI) application that allows users to input multiple net carbon footprints value and the initial flow rate to the ETP
Carbon Footprint Calculation are calculated as in section which determines the carbon footprint for four categories:
Electricity Consumption:
Electricity consumption is assessed using a factor of 0.527 kg CO₂ for each kilowatt-hour of electricity utilized.
LPG Consumption:
LPG Consumption is assessed using a factor of 2.75 kg CO₂ per liter of LPG consumed.
Transportation:
Transportation Consumption is assessed using a factor of 0.118 kg CO₂ per kilometer traveled.
Waste Generation:
Waste Generation is assessed using a factor of 0.25 kg CO₂ per kilogram of waste produced.
Carbon Footprint Calculation:
The carbon footprint for each category is calculated as:
Carbon Footprint (CF) = Consumption Amount × Emission Factor …………………… (1)
The total carbon footprint (Total CF) is the sum of all the individual footprints:
Total CF = Energy CF + LPG CF + Transportation CF + Waste CF ………………… (2)
Projection of Carbon Emissions:
The invention projects future carbon emissions over a specified number of years.
based on a user-defined annual growth rate. This projection is calculated using the following formula:
Projected CF=Current CF x((〖(1 + Growth Rate)〗^years - 1)/(Growth Rate)) …………………… (3)
This enables users to estimate their carbon footprint in the future and to assess the impact of expected growth in energy consumption, transportation, waste generation, or LPG usage.
Carbon Offset Calculation:
The invention calculates the number of trees required to offset the projected carbon emissions over the next 10 years. The formula used for this calculation is:
TreesNeeded =(Total CF)/(Trees CO₂ Offset per Year) ………………………………………………(4)
Here, the amount of carbon absorbed by one tree per year is taken as 21.77 kg CO₂.
Cost Estimation
The total cost of planting the necessary number of trees to offset the carbon footprint is computed using the formula:
Total Cost = Trees Needed × Cost per Tree ………………………………………(5)
The cost per tree is set at INR 5.257, providing a clear financial estimate for offsetting carbon emissions.
Carbon Footprint Calculator:
The methodology for the Carbon Footprint Calculator is outlined in the following steps:
Input Collection: users are prompted to enter their annual consumption data for electricity, LPG, transportation distance, and waste production. Additionally, they are asked to provide an expected annual growth rate.
Carbon Footprint Calculation: The calculator applies emission factors to each input to determine the current total carbon footprint.
Projection of Carbon Emissions: Based on the current footprint and the specified growth rate, the calculator projects future emissions over a 10-year period.
Offset Estimation: The number of trees required to offset the projected emissions is calculated using an industry-accepted constant for the amount of CO2 absorbed by trees.
Cost Calculation: The financial cost for planting the required number of trees is determined.
Output: The tool provides users with their current carbon footprint, the projected footprint in 10 years, the number of trees needed for offset, and the total cost for tree planting.
The innovative Python-based steps of the process performed according to the present invention. The method for estimating carbon emission and offsetting the said method is executed using a system equipped with a Central Processing Unit (CPU) configured to execute calculation methods.
The system and method for estimating carbon emission and offsetting, and the method is executed using a system equipped with
a Central Processing Unit (CPU) configured to execute calculation methods;
a memory unit configured to store input data, methods, and intermediate computation results;
a display unit providing graphical user interfaces for input, output, and visualization purposes;
input devices including a keyboard and mouse for user interaction and data input, and
a Graphics Processing Unit (GPU) facilitating high speed graphical visualizations.
The calculator features a Central Processing Unit (CPU) designed for executing various calculation methods. This system comprises a memory unit to store essential input data, methodologies, and intermediate computational outcomes. Furthermore, it includes a display unit that offers graphical user interfaces for seamless input, output, and data visualization. User interaction is facilitated by input devices such as a keyboard and mouse, while a Graphics Processing Unit (GPU) enhances the capability for high-speed graphical visualizations. Additionally, the method incorporates standard libraries for graphical user interface development alongside a mathematical library to perform necessary calculations, thereby ensuring accuracy and efficiency in the estimation process.
, Claims:WE Claim:
1. A method for estimating carbon emission and offsetting, the method comprising the steps of:
accessing user input on their annual consumption data and anticipated annual growth rates for electricity, LPG, transportation distance, and waste production and the like;
calculating and displays the net carbon emissions, as well as the number of trees needed to offset the carbon emissions both per day and per year, and
projecting future carbon emissions over a 10-year period,
wherein the said method employs comprehensive computational methods to accurately calculate and the carbon emission and offsetting based on user input data and provides error free result.
2. The method for estimating carbon emission and offsetting as claimed in claim 1, wherein the said method is executed using a python-based carbon footprint calculator equipped with
a central processing unit (CPU) configured to execute calculation methods;
a memory unit configured to store input data, methods, and intermediate computation results;
a display unit providing graphical user interfaces for input, output, and visualization purposes;
a input devices including a keyboard and mouse for user interaction and data input; and
a graphics processing unit (GPU) facilitating high speed graphical visualizations.
3. The method for estimating carbon emission and offsetting as claimed in claim 1 or 2, wherein standard libraries for graphical user interface development, including tkinter for window creation, and a math library to execute mathematical calculations.
Documents
Name | Date |
---|---|
202441086022-Proof of Right [10-12-2024(online)].pdf | 10/12/2024 |
202441086022-EDUCATIONAL INSTITUTION(S) [09-11-2024(online)].pdf | 09/11/2024 |
202441086022-FORM-8 [09-11-2024(online)].pdf | 09/11/2024 |
202441086022-FORM-9 [09-11-2024(online)].pdf | 09/11/2024 |
202441086022-COMPLETE SPECIFICATION [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-DECLARATION OF INVENTORSHIP (FORM 5) [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-DRAWINGS [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-EDUCATIONAL INSTITUTION(S) [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-FORM 1 [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-FORM 18 [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-FORM FOR SMALL ENTITY(FORM-28) [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-POWER OF AUTHORITY [08-11-2024(online)].pdf | 08/11/2024 |
202441086022-REQUEST FOR EXAMINATION (FORM-18) [08-11-2024(online)].pdf | 08/11/2024 |
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