Year: 2024
Type: dissertation
Abstract: The climate work of Finnish companies has still room for improvement and planned climate actions are not enough to reach the greenhouse gas emission reductions required by the Paris Agreement. The studies have found that the costs of climate actions and lack of profit are seen as the most significant challenges within the companies. In the literature, optimisation is used to reduce greenhouse gas emissions for example in operation planning or supply chain management, and many of the models take financial aspect into account. However, models for optimising different kinds of emission reduction actions across an organisation were not found. In this thesis, we have developed an optimisation model that will help companies to choose the most cost-effective emission reduction actions and timeline for their implementation. The objective of the model is to minimise company's cumulative greenhouse gas emissions in a given time period while staying within the set budget. The optimisation problem is solved using an evolutionary algorithm. The model is then applied to Company A's climate work. The developed optimisation model is able to show how the company's greenhouse gas emissions would develop if the company implemented the recommended emission reduction actions in the given timeline. The optimisation model gives the company an insight of which emission reduction actions should be implemented so that the cumulative greenhouse gas emissions would be minimised but the set budget is not exceeded. The model can also be used to screen different budgets since it shows how the budget affects the recommended emission reduction actions and the company's cumulative greenhouse gas emissions.
Source: Aaltodoc (Aalto University)
Author: Weckman, Aino
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7113521139