P-graph and Monte Carlo simulation approach to planning carbon management networks
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Article
Source Title
Computers and Chemical Engineering
Volume
106
First Page
872
Last Page
882
Publication Date
11-2-2017
Abstract
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
html
Digitial Object Identifier (DOI)
10.1016/j.compchemeng.2017.01.047
Recommended Citation
Tan, R. R., Aviso, K. B., & Foo, D. Y. (2017). P-graph and Monte Carlo simulation approach to planning carbon management networks. Computers and Chemical Engineering, 106, 872-882. https://doi.org/10.1016/j.compchemeng.2017.01.047
Disciplines
Chemical Engineering
Keywords
Carbon dioxide mitigation; Energy policy
Upload File
wf_yes
