Economic Feasibility Analysis and Breakeven Point Estimation of Microgrid System Combinations Under Carbon Fee Policies
This study delves into the economic feasibility of various energy system combinations under the influence of carbon fee policies, using a convenience store located in the Changbin Industrial Park as a representative case. The primary focus is analyzing the intricate relationship between the Levelized Cost of Energy (LCOE) and carbon fees. In light of the growing importance of sustainable energy practices, this research explores how different combinations of renewable energy sources and storage systems can be optimized within the context of evolving carbon fee regulations. The findings underscore the pivotal role of carbon fees as a decisive factor in determining the economic viability of microgrid systems. Specifically, when the carbon fee escalates to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{NT}\$ 3000/\text{tCO}_{2\mathrm{e}}$</tex>, certain system configurations, such as GPWL (Grid-Photovoltaic-Wind-Lithium) and GPWF (Grid-Photovoltaic-Wind-Flow Battery), emerge as economically viable options. However, the feasibility of these systems is significantly influenced by the prevailing costs of green electricity procurement, which can either enhance or limit their attractiveness. Moreover, the study introduces a regression analysis model capable of accurately predicting fluctuations in energy costs across different carbon fee scenarios. This model provides a robust analytical tool for decision-makers, enabling them to anticipate the financial implications of policy changes on energy systems. The insights derived from this research are particularly valuable for businesses and policymakers, offering a hopeful vision of a future with cost-effective and sustainable energy solutions.
Authors
- I‐Hua Chung
- Mingjun Zhang (ORCID: https://orcid.org/0000-0002-4869-246X)
- Chin-Pao Chu
Institutions
- National Kaohsiung University of Science and Technology (TW)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/rasse64357.2024.10773877
- Citations
- 2
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.66