Search Menu
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scholarly Publications

Title: Network Modeling of the U.S. Petrochemical Industry under Raw Material and Hurricane Harvey Disruptions

Journal Article · · Industrial and Engineering Chemistry Research
ORCiD logo [1];  [2];  [2];  [2];  [2]; ORCiD logo [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Univ. of Texas, Austin, TX (United States)
+ Show Author Affiliations

A geographically resolved network model of the U.S. chemical industry in 2017 is designed, and optimal chemical flows between units are calculated using linear programming. A baseline solution and three disruption scenarios (primary raw material disruptions, reported Hurricane Harvey ethylene cracker disruptions, and assumed capacity disruptions based on the Hurricane Harvey geographic storm track) are reported on to determine how the structure of the industry is modified to adapt to widespread and geographically specific disruptions. The calculated impacts of the assumed Hurricane Harvey disruption include 170 chemical units in 26 states that change production level as a result of supply chain disruptions during the storm. The systemic impact for the assumed Hurricane Harvey disruption is 19.3 million tonnes of gross chemical production. The day with the largest impact on gross chemical production shows a reduction from baseline operations of 1.3 million tonnes (42% of baseline). This model can be utilized for analysis of future disruption scenarios and to test resilience strategies, including impacts of new manufacturing configurations or technologies.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1559561
Report Number(s):
SAND-2019-6833J; 676504
Journal Information:
Industrial and Engineering Chemistry Research, Vol. 58, Issue 28; ISSN 0888-5885
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

Figures / Tables (22)

Figure 1(p. 4)figure Figure 1
Figure 2(p. 6)figure Figure 2
Table 1(p. 9)table Table 1
n = U1, j = T1, bT1 = C, aA,T1 = 0.5, aB,T1 = 0.75, ac,T1 = 1, aD,T1 = 0.25, lIN,U1 {A, B}, and lOUT,U1 = {C, D}. The input species "A" and "B" are collected from all other nodes that have these species as outputs. The output species "C" and "D" are distributed to all other nodes that have these species as inputs." data-ostiid="1559561">
Figure 3(p. 12)figure Figure 3
Figure 4(p. 17)figure Figure 4
Figure 5(p. 19)figure Figure 5
Figure 6(p. 21)figure Figure 6
Figure 7(p. 22)figure Figure 7
Figure 8(p. 23)figure Figure 8
Figure 9(p. 25)figure Figure 9
Figure 10(p. 27)figure Figure 10
Figure 11(p. 28)figure Figure 11
Figure 12(p. 28)figure Figure 12
Figure 13(p. 30)figure Figure 13
Figure 14(p. 32)figure Figure 14
Figure 15(p. 32)figure Figure 15
Figure 16(p. 33)figure Figure 16
Figure 17(p. 34)figure Figure 17
Figure 18(p. 35)figure Figure 18
Figure 19(p. 37)figure Figure 19
Figure 20(p. 39)figure Figure 20
Figure 21(p. 40)figure Figure 21

Similar Records

Related Subjects

02 PETROLEUM
chemical manufacturing
supply chain
linear program
ethylene
natural disaster