In this study, a comprehensive infrastructure
assessment model
for carbon capture and storage (CiamCCS) is developed for (i) planning
a carbon capture and storage (CCS) infrastructure that includes CO2 capture, utilization, sequestration and transportation technologies,
and for (ii) integrating the major CCS assessment methods, i.e., techno-economic
assessment (TEA), environmental assessment (EA), and technical risk
assessment (TRA). The model also applies an inexact two-stage stochastic
programming approach to consider the effect of every possible uncertainty
in input data, including economic profit (i.e., CO2 emission
inventories, product prices, operating costs), environmental impact
(i.e., environment emission inventories) and technical loss (i.e.,
technical accident inventories). The proposed model determines where
and how much CO2 to capture, transport, sequester, and
utilize to achieve an acceptable compromise between profit and the
combination of environmental impact and technical loss. To implement
this concept, fuzzy multiple objective programming was used to attain
a compromise solution among all objectives of the CiamCCS. The capability
of CiamCSS is tested by applying it to design and operate a future
CCS infrastructure for treating CO2 emitted by burning
carbon-based fossil fuels in power plants throughout Korea in 2020.
The result helps decision makers to establish an optimal strategy
that balances economy, environment, and safety efficiency against
stability in an uncertain future CCS infrastructure.