Abstract
A mathematical programming approach is suggested to predict the environmental impact of carbon offsetting by emissions trading systems under various circumstances. The proposed method is to simulate industries that seek to minimize the cost of reduction and/or offsetting of carbon emissions minus the value of retained carbon credits. Case study indicates that reduction of net emissions can be promoted by emissions trading systems if rightly operated. The necessary conditions are industrial abilities to reduce emissions and/or capacities for extension of sequestration, correct issuance of carbon credits, proper policies on allowances, and rational rules on carryovers.
| Original language | English |
|---|---|
| Title of host publication | Computer Aided Chemical Engineering |
| Publisher | Elsevier B.V. |
| Pages | 673-678 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2024.01 |
Publication series
| Name | Computer Aided Chemical Engineering |
|---|---|
| Volume | 53 |
| ISSN (Print) | 1570-7946 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure -
SDG 13 Climate Action
Keywords
- carbon credit
- carbon offset
- emissions trading system
Quacquarelli Symonds(QS) Subject Topics
- Computer Science & Information Systems
- Data Science
- Engineering - Chemical
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