P-graph and Monte Carlo simulation approach to planning carbon management networks
A P-graph and Monte Carlo simulation approach to planning carbon management networks is proposed. These networks are generalized systems for minimizing emissions of CO2. Application of the P-graph framework to such problems has the added advantage of being able to rigorously identify both optimal an...
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| Main Authors: | , , |
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| Format: | text |
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Animo Repository
2017
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| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2491 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3490/type/native/viewcontent |
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| Institution: | De La Salle University |
| Summary: | A P-graph and Monte Carlo simulation approach to planning carbon management networks is proposed. These networks are generalized systems for minimizing emissions of CO2. Application of the P-graph framework to such problems has the added advantage of being able to rigorously identify both optimal and near-optimal solutions, which is a feature that is useful for practical decision-making; Monte Carlo simulation can then be used to evaluate the robustness of a network to variations in system parameters. Two literature case studies are used to demonstrate this methodology. The first example is a carbon-constrained energy sector planning problem, while the second example is a CO2 capture and storage planning problem. In both cases, it is demonstrated that multiple solutions generated using P-graph methodology allow identification of robust, near-optimal carbon management networks. © 2017 Elsevier Ltd |
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