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A new optimization approach to energy network modeling: anthropogenic CO 2 capture coupled with enhanced oil recovery
Author(s) -
Middleton Richard S.
Publication year - 2013
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.2993
Subject(s) - pipeline transport , enhanced oil recovery , energy modeling , electricity , renewable energy , fossil fuel , energy carrier , environmental science , natural gas , carbon footprint , greenhouse gas , computer science , engineering , efficient energy use , environmental engineering , petroleum engineering , waste management , ecology , electrical engineering , biology
SUMMARY To meet next generation energy needs such as wind‐ and solar‐generated electricity, enhanced oil recovery (EOR), CO 2 capture and storage (CCS), and biofuels, the US will have to construct tens to hundreds of thousands of kilometers of new transmission lines and pipelines. Energy network models are central to optimizing these energy resources, including how best to produce, transport, and deliver energy‐related products such as oil, natural gas, electricity, and CO 2 . Consequently, understanding how to model new transmission lines and pipelines is central to this process. However, current energy models use simplifying assumptions for deploying pipelines and transmission lines, leading to the design of more costly and inefficient energy networks. In this paper, we introduce a two‐stage optimization approach for modeling CCS infrastructure. We show how CO 2 pipelines with discrete capacities can be ‘linearized’ without loss of information and accuracy, therefore allowing necessarily complex energy models to be solved. We demonstrate the new approach by designing a CCS network that collects large volumes of anthropogenic CO 2 (up to 45 million tonnes of CO 2 per year) from ethylene production facilities and delivers the CO 2 to depleted oil fields to stimulate recovery through EOR. Utilization of anthropogenic CO 2 has great potential to jumpstart commercial‐scale CCS while simultaneously reducing the carbon footprint of domestic oil production. Model outputs illustrate the engineering challenge and spatial extent of CCS infrastructure, as well as the costs (or profits) of deploying CCS technology. We show that the new linearized approach is able to offer insights that other network approaches cannot reveal and how the approach can change how we develop future energy systems including transporting massive volumes of shale gas and biofuels as well as electricity transmission for wind and solar energy. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.