Publication Date: 2022/08/23
Abstract: Indonesia is committed to achieving Net Zero Emission (NZE) by 2060. As a form of support for this commitment, the State Electricity Company (STATE POWER GENERATION COMPANY) has taken several important steps to reduce greenhouse gas emissions, one of which is through the new renewable energy mix (Renewable Energy). As a subsidiary of STATE POWER GENERATION COMPANY, PT. Generation Java Bali (PJB) is a pioneer who continues to play an active role in the development of co-firing technology in Indonesia and even in Asia. This study aims to analyze the development of biomass co-firing technology by PT. PJB in order to support the energy transition to NZE before and during the COVID-19 pandemic. The method used in this research is a descriptive qualitative analysis method based on thinking systems. Where the data used in this study were obtained from the results of a literature study and based on information obtained from the Focus Group Discussion (FGD). The data obtained were then analyzed using the SWOT method to analyze the performance of PT. The Java-Bali generation in supporting Indonesia's energy transition along with the characteristics of each of these SWOT factors. The results of this study are known that the government has ratified Law No. 16 of 2016 concerning NDC, the step was then welcomed by PT. STATE POWER GENERATION COMPANY with the issuance of RUPTL in its commitment to reduce greenhouse gas emissions so that in the future Indonesia will be able to switch from fossil energy sources to new and renewable energy. The acceleration of the energy transition is carried out by PT. PJB through a co-firing program in several coal-fired power plants by mixing biomass in the boiler. In addition, the application of co-firing has a positive impact on the company's investment costs, increases the sense of belonging to the community around the power plant and is relatively environmentally friendly so that it has the potential to reach NZE in 2060
Keywords: NZE, Co-firing, PT. PJB, SWOT.
DOI: https://doi.org/10.5281/zenodo.7016223
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JUL937_(1).pdf
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