Targeting and design of energy allocation networks with carbon capture and storage |
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Authors: | Akshay U. Shenoy Uday V. Shenoy |
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Affiliation: | 1. Narsee Monjee Institute of Management Studies, NMIMS, V.L. Mehta Road, Vile Parle (W), Mumbai 400056, India;2. Synew Technologies, A 502, Galleria, Hiranandani Gardens, Powai, Mumbai 400076, India |
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Abstract: | The mathematical formulation for targeting during energy allocation with carbon capture and storage (CCS) is formally developed. For operating-cost optimization with zero excess, it is shown that CCS sources may be regarded as resources with their cost taken as the increment over the non-CCS option. CCS sources along with clean-carbon resources may then be targeted by profile matching with the limiting composite to establish optimal primary cases. The limiting composite curve is itself sacrosanct and obtained by a single computation of the composite table algorithm (CTA) including only non-CCS sources. Carbon emission networks (CENs) are designed by the nearest neighbors algorithm (NNA). A cost criterion is established to determine cost-factor ranges for optimality of the primary cases, and results validated by solving linear programming (LP) and mixed integer linear programming (MILP) formulations. The methodology essentially comprises four distinct stages – targeting, network design, cost analysis, and optimization – with the first two stages not requiring any cost data. |
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