P-graph approach to carbon-constrained energy planning problems

• Main Authors: Tan, Raymond Girard R., Aviso, Kathleen B., Foo, Dominic C. Y.
• Format: text
• Published: Animo Repository 2016
• Subjects: Carbon dioxide mitigation; Energy policy; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2489; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3488/type/native/viewcontent
• Institution: De La Salle University

P-graph approach to the general footprint-constrained energy planning problem is proposed in this work as an alternative to pinch analysis and mathematical programming methods previously reported in literature. It has been noted that such energy planning problems have a common underlying structure, regardless of the specific quality index (e.g., carbon intensity, water footprint, inoperability risk, etc.) used to characterize the sources and demands. 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. A literature case study on carbon emission pinch analysis (CEPA) for energy sector planning is used to demonstrate this approach. © 2016 Elsevier B.V. A