作者: Hon Loong Lam , Raymond R. Tan , Kathleen B. Aviso
DOI: 10.1016/J.JCLEPRO.2016.03.110
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摘要: Abstract The process graph (P-graph) framework was introduced in the early 1990s as a theoretic approach to Process Network Synthesis (PNS) problems chemical engineering. This has several advantageous features, such mathematically rigorous generation of maximal structures (i.e., superstructures), elucidation combinatorially feasible solution structures, and efficient search space for optimal PNS compared conventional branch-and-bound algorithms mixed integer linear programming (MILP) models. In three decades since its inception, P-graph proven be viable wide array other structurally analogous problems; methodology also matured, evidenced by development key software tools (PNS Draw, Studio Studio) appearance modern textbooks. Nevertheless, yet achieve broad, mainstream penetration among grassroots engineering users, especially those without strong mathematical background. this paper, we discuss implementation instructional modules undergraduate degree programs at University Nottingham, Malaysia Campus De La Salle University, Manila, Philippines. These have primarily focused on design Green Processes. Results show that visual nature is an advantage practical decision-making, it complements learning techniques programming.