Open AccessCarbon Capture and Storage (CCS) Network Planning Based on Cost Analysis Using Superstructure Method in Indonesian Central Region
Author(s) -
Mochamad Irfan Dwiputro,
Aufal Nawasanjani,
Renanto Handogo,
Juwari Juwari,
Rendra Panca Anugraha
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1053/1/012074
Subject(s) - java , environmental science , sink (geography) , grid , electricity , carbon capture and storage (timeline) , indonesian , pipeline transport , environmental economics , computer science , engineering , environmental engineering , climate change , geography , geology , oceanography , cartography , geodesy , electrical engineering , economics , programming language , linguistics , philosophy
Today global warming is a serious threat to living things and the earth, according to WMO, 2019 is the second hottest year after 2016. The average temperature for the last 10 years has reached its highest point. CCS technology is a series of activities that start from capturing CO 2 from sources of CO 2 emissions, namely the industrial sector and electricity generation. After being captured, CO 2 is transported through pipelines or ships to the CO 2 storage location in the appropriate storage, it can be geolocical or ocean storage. Each CCS project will use the most suitable method to transport CO 2 and pay attention to planning, health and safety regulations. These problems can be overcome by a method, a Superstructure method. A problem with CCS may occur when the source and sink locations are not necessarily in a single region, so it is possible that the CCS process can occur in a multi-region where the source and sink locations are far apart and with many regions. The development of multi-region studies was carried out in this research, namely with the boundaries of the regions of Kalimantan, Sulawesi and East Java with a total of 4 sources and 2 sinks. Development is carried out by making mass transfer scenarios using superstructure method and cost calculations based on Total Annual Cost (TAC) then optimized with optimization software to get the minimum cost. In this study, the optimum CCS network has been determined in Kalimantan, Sulawesi and East Java regions with specific TAC US$ 11,126,782.2/Mt.