P-graph approach to planning biochar-based carbon management networks
Added Title
23rd International Congress of Chemical and Process Engineering (23rd : 2018)
CHISA 2018
Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (21st : 2018)
PRES 2018
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Conference Proceeding
Source Title
23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018
Volume
2
First Page
953
Publication Date
1-1-2018
Abstract
Biochar application to soil is a potentially scalable carbon sequestration strategy. In practice, the amount of biochar that can be added to soil is constrained by the presence of contaminants such as salts, heavy metals, or dioxins. Process Systems Engineering (PSE) and Process Integration (PI) methods can be developed to optimize the reduction of greenhouse gas (GHG) emissions in such biochar-based Carbon Management Networks (CMNs). Previous works have proposed Mathematical Programming (MP) and Pinch Analysis (PA) approaches to the planning of these systems but are subject to the inherent methodological limitations. In this work, an alternative approach using Process Graph (P-graph) is developed, based on the source-sink matching problem being treated as a special Process Network Synthesis (PNS) problem. A case study is solved to illustrate the P-graph approach. In particular, optimal and near-optimal solutions are generated for the problem, which in real applications presents improved flexibility for purposes of practical decision support.
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Recommended Citation
Aviso, K. B., Arogo, J. A., Coronel, A. O., Janairo, C. J., Foo, D. C., & Tan, R. R. (2018). P-graph approach to planning biochar-based carbon management networks. 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018, 2, 953. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/155
Disciplines
Chemical Engineering | Environmental Engineering
Keywords
Biochar; Carbon sequestration
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