diff --git a/pareto/tests/test_integrated_optimization_md.py b/pareto/tests/test_integrated_optimization_md.py
deleted file mode 100644
index 5d88dbd1..00000000
--- a/pareto/tests/test_integrated_optimization_md.py
+++ /dev/null
@@ -1,48 +0,0 @@
-#####################################################################################################
-# PARETO was produced under the DOE Produced Water Application for Beneficial Reuse Environmental
-# Impact and Treatment Optimization (PARETO), and is copyright (c) 2021-2024 by the software owners:
-# The Regents of the University of California, through Lawrence Berkeley National Laboratory, et al.
-# All rights reserved.
-#
-# NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S.
-# Government consequently retains certain rights. As such, the U.S. Government has been granted for
-# itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in
-# the Software to reproduce, distribute copies to the public, prepare derivative works, and perform
-# publicly and display publicly, and to permit others to do so.
-#####################################################################################################
-
-import pytest
-import pyomo.environ as pyo
-from importlib import resources
-from pareto.utilities.get_data import get_data
-from pareto.other_models.CM_module.operational.set_param_list import (
-    set_list,
-    parameter_list,
-)
-from pareto.utilities.cm_utils.data_parser import data_parser
-from pareto.other_models.Integrate_desal.integrated_models.integrated_optimization_md import (
-    integrated_model_build,
-)
-
-ipopt_avail = pyo.SolverFactory("ipopt").available()
-
-class TestIntegratedOptimizationMD:
-    def test_model_solve(self):
-        with resources.path(
-            "pareto.case_studies",
-            "integrated_desalination_demo.xlsx",
-        ) as fpath:
-            [df_sets, df_parameters] = get_data(fpath, set_list, parameter_list)
-
-            data = data_parser(df_sets, df_parameters)
-        m = integrated_model_build(network_data=data, treatment_dict={"R01_IN": "MD"})
-        ipopt = pyo.SolverFactory('ipopt')
-        ipopt.options["mu_init"] = 1e-6
-        ipopt.options["bound_push"] = 1e-6
-        ipopt.options["max_iter"] = 10000
-        res = ipopt.solve(m, tee=True)
-        pyo.assert_optimal_termination(res)
-   
-if __name__ == "__main__":
-    pytest.main()
-    
\ No newline at end of file