Add Reverse Electrodialysis model

gdplib/__init__.py

@@ -17,3 +17,4 @@
 import gdplib.ex1_linan_2023
 import gdplib.small_batch
 import gdplib.cstr
+import gdplib.reverse_electrodialysis

gdplib/reverse_electrodialysis/README.md

@@ -0,0 +1,29 @@
+# Reverse Electrodialysis Model 
+
+This is a GDP model for the optimal design of the reverse electrodialysis (RED) process to recover energy from salinity gradients.
+
+The instance is defined based on the Illustrative example from [^1].
+
+## Problem Details
+
+### Solution
+
+Best known objective value: - $15,391
+
+
+### Size
+
+| Component             |   Number |
+|:----------------------|---------:|
+| variables             |      776 |
+| binary_variables      |        8 |
+| integer_variables     |        0 |
+| continuous_variables  |      768 |
+| disjunctions          |        4 |
+| disjuncts             |        8 |
+| constraints           |      794 |
+| nonlinear_constraints |      162 |
+
+## Source paper:
+
+> [^1]: Tristán, C., Fallanza, M., Ibáñez, R., Ortiz, I., & Grossmann, I. E. (2023). A generalized disjunctive programming model for the optimal design of reverse electrodialysis process for salinity gradient-based power generation. Computers & Chemical Engineering, 174, 108196. https://doi.org/https://doi.org/10.1016/j.compchemeng.2023.108196