Designing a cost-effective CO2 storage infrastructure using a GIS based linear optimization energy model

Abstract

Large-scale deployment of carbon capture and storage needs a dedicated infrastructure. Planning and designing of this infrastructure require incorporation of both temporal and spatial aspects. In this study, a toolbox has been developed that integrates ArcGIS, a geographical information system with spatial and routing functions, and MARKAL, an energy bottom-up model based on linear optimization. Application of this toolbox led to blueprints of a CO 2 infrastructure in the Netherlands. The results show that in a scenario with 20% and 50% CO 2 emissions reduction targets compared to their 1990 level in respectively 2020 and 2050, an infrastructure of around 600 km of CO 2 trunklines may need to be built before 2020. Investment costs for the pipeline construction and the storage site development amount to around 720 mV and 340 mV, respectively. The results also show the implication of policy choices such as allowing or prohibiting CO 2 storage onshore on CO 2 Capture and Storage (CCS) and infrastructure development. This paper illustrates how the ArcGIS/MARKAL-based toolbox can provide insights into a CCS infrastructure development, and support policy makers by giving concrete blueprints over time with respect to scale, pipeline trajectories, and deployment of individual storage sites.

Dutch hydrogen economy: evolution of optimal supply infrastructure and evaluation of key influencing elements

“…Dutch CO 2 storage potential is observed to be about 2.7 Gt as shown in Table 3 47, 48. In a scenario with emission reduction targets of 20, 30, 40 and 50% by 2020, 2030, 2040 and 2050 [compared with 1990 emissions (158 MT CO 2 )], the total storage capacity available (2.7 Gt CO 2 ) is sufficient to achieve about one fifth of these targeted emission reductions.…”

Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis

“…Field F12.1 encompassed 51 papers (53% of C12) that modelled parts of storage processes. Key papers included Jiang [216] (d = 237), who reviewed models and methods designed to simulate flow and transport phenomena in carbon storage, and van den Broek et al [217] (d = 159), who coupled a geographical information system with a linear optimising energy model to derive a cost-effective CO 2 storage infrastructure. Field F12.2 (46 papers, 47% of C12) concerned assessments of storage issues that go beyond pure techno-economic issues.…”

Jumpstarting commercial‐scale CO2capture and storage with ethylene production and enhanced oil recovery in the US Gulf

“…Industry has planned or established several basic CO 2 pipeline networks, including those that allow byproduct CO 2 suppliers to join the network . Multiple efforts have developed detailed models to optimize integrated CCUS systems, including examining a hypothetical pipeline network that links byproduct CO 2 from ethylene manufacturers with EOR reservoirs; CO 2 transport costs were estimated to be $5–6/tCO 2 . Such a pipeline system could be constructed with a combination of public (federal and/or state government) and private investment .…”