TY - CHAP
T1 - Two-Stage Land Use Optimization for A Food-Energy-Water Nexus System
T2 - A Case Study In Texas Edwards Region
AU - Nie, Yaling
AU - Avraamidou, Styliani
AU - Xiao, Xin
AU - Pistikopoulos, Efstratios N.
AU - Li, Jie
PY - 2019
Y1 - 2019
N2 - Efficient land use planning and scheduling in Food-Energy-Water Nexus (FEW-N) related systems is a complicated decision-making problem with resource competitions and conflicting objectives. Systematic thinking based on FEW-N is a necessity for modeling and optimization of the systems. However, challenges arise in making decisions while encountering conflicting objectives, multi-scale and multi-period problems, and multiple stakeholders. To address these challenges, we developed a generic optimization-based land allocation approach, which provides i) a composite FEW-N metric to help solve the multi-objective optimization problem and carry out assessments, and ii) a two-stage decomposition strategy to solve the multi-scale and multi-period planning and scheduling problem. The developed strategy was applied in a case study within the Texas Edwards Region. Computational results indicate that the approach can provide a comprehensive FEW-N metric to select strategies for optimal land allocation and limit stresses in the FEW-N, and achieve trade-off solutions for the multi-scale and multi-period FEW land use systems.
AB - Efficient land use planning and scheduling in Food-Energy-Water Nexus (FEW-N) related systems is a complicated decision-making problem with resource competitions and conflicting objectives. Systematic thinking based on FEW-N is a necessity for modeling and optimization of the systems. However, challenges arise in making decisions while encountering conflicting objectives, multi-scale and multi-period problems, and multiple stakeholders. To address these challenges, we developed a generic optimization-based land allocation approach, which provides i) a composite FEW-N metric to help solve the multi-objective optimization problem and carry out assessments, and ii) a two-stage decomposition strategy to solve the multi-scale and multi-period planning and scheduling problem. The developed strategy was applied in a case study within the Texas Edwards Region. Computational results indicate that the approach can provide a comprehensive FEW-N metric to select strategies for optimal land allocation and limit stresses in the FEW-N, and achieve trade-off solutions for the multi-scale and multi-period FEW land use systems.
KW - Food-Energy-Water Nexus
KW - Land use optimization
KW - multi-period planning
UR - http://www.scopus.com/inward/record.url?scp=85069929710&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-818597-1.50033-3
DO - 10.1016/B978-0-12-818597-1.50033-3
M3 - Chapter
AN - SCOPUS:85069929710
T3 - Computer Aided Chemical Engineering
SP - 205
EP - 210
BT - Computer Aided Chemical Engineering
PB - Elsevier BV
ER -