P-graph and Monte Carlo simulation approach to planning carbon management networks

• Main Authors: Tan, Raymond Girard R., Aviso, Kathleen B., Foo, Dominic C. Y.
• Format: text
• Published: Animo Repository 2017
• Subjects: Carbon dioxide mitigation; Energy policy; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2491; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3490/type/native/viewcontent
• Institution: De La Salle University

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