Repository: NREL/HOPP (language: python)

Issue:
Hybrid Depreciation and Taxes Not Copied over
Depreciation and tax variables are not copied over from technology component models into the hybrid financial models, leading to disconnects in those cash flow outputs

Need to update `calculate_financials` to handle these


Discussion / hints:

Fix patch:
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index ab7f15677..3407954c0 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,7 +21,7 @@ jobs:
           sudo apt-get update && sudo apt-get install -y libglpk-dev glpk-utils
           python -m pip install --upgrade pip
           pip install shapely==1.7.1
-          pip install install -r requirements.txt
+          pip install -r requirements.txt
       - name: Install package
         run: |
           python setup.py install
diff --git a/.gitignore b/.gitignore
index bb3157f7d..92d2b2c3d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -7,6 +7,7 @@ __pycache__/
 
 log/
 HOPP_examples/
+HOPP-demos/
 tests/analysis/results/
 
 .idea/*
diff --git a/docs/hybrid/battery_storage.rst b/docs/hybrid/battery_storage.rst
new file mode 100644
index 000000000..9b1fc1e36
--- /dev/null
+++ b/docs/hybrid/battery_storage.rst
@@ -0,0 +1,11 @@
+.. _BatteryStorage:
+
+
+Battery Storage
+================================
+
+Battery Storage class based on PySAM's BatteryStateful Model
+
+
+.. autoclass:: hybrid.battery.Battery
+    :members:
diff --git a/docs/index.rst b/docs/index.rst
index 6d24d3b7d..954150c91 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -13,6 +13,7 @@ Welcome to HOPP's documentation!
    hybrid/power_source.rst
    hybrid/wind_source.rst
    hybrid/pv_source.rst
+   hybrid/battery_storage.rst
    hybrid/grid.rst
    hybrid/hybrid_simulation.rst
    hybrid/flicker.rst
diff --git a/examples/optimization/layout_opt/hybrid_optimization_problem.py b/examples/optimization/layout_opt/hybrid_optimization_problem.py
index 7247ead35..0e21d5131 100644
--- a/examples/optimization/layout_opt/hybrid_optimization_problem.py
+++ b/examples/optimization/layout_opt/hybrid_optimization_problem.py
@@ -2,7 +2,7 @@
 from pathlib import Path
 from typing import Tuple
 
-import PySAM.Pvwattsv7 as pvwatts
+import PySAM.Pvwattsv8 as pvwatts
 import PySAM.Windpower as windpower
 import numpy as np
 from shapely.geometry import (
@@ -179,7 +179,7 @@ def run_wind_model(windmodel: windpower.Windpower):
             windmodel.execute(0)
             return windmodel.Outputs.annual_energy
         
-        def run_pv_model(pvmodel: pvwatts.Pvwattsv7):
+        def run_pv_model(pvmodel: pvwatts.Pvwattsv8):
             cap = pvmodel.SystemDesign.system_capacity
             gcr = pvmodel.SystemDesign.gcr
             est = cap * self._solar_size_aep_multiplier * self.solar_gcr_loss_multiplier(gcr)
@@ -238,7 +238,7 @@ def solar_gcr_loss_multiplier(self, gcr):
         if gcr_str in self._solar_gcr_loss_multiplier.keys():
             return self._solar_gcr_loss_multiplier[gcr_str]
         
-        solar_model: pvwatts.Pvwattsv7 = self._scenario['Solar'][0]
+        solar_model: pvwatts.Pvwattsv8 = self._scenario['Solar'][0]
         old_cap, old_gcr = solar_model.SystemDesign.system_capacity, solar_model.SystemDesign.gcr
         solar_model.SystemDesign.system_capacity = 1
         solar_model.SystemDesign.gcr = gcr
@@ -306,7 +306,7 @@ def compute_objective(self,
         avg_gcr = np.dot(np.array(net_solar_capacities) / total_solar_capacity,
                          np.array([area.gcr for area in conforming_candidate.solar_areas]))
         
-        solar_model: pvwatts.Pvwattsv7 = self._scenario['Solar'][0]
+        solar_model: pvwatts.Pvwattsv8 = self._scenario['Solar'][0]
         solar_model.SystemDesign.gcr = avg_gcr
         solar_model.SystemDesign.system_capacity = float(total_solar_capacity)
         solar_score = self._scenario['Solar'][1](solar_model) / 1000
diff --git a/examples/resource_files/32.43861838431444__-99.73363995829895_32.438818_-99.734703_psm3_60_2013.csv b/examples/resource_files/32.43861838431444__-99.73363995829895_32.438818_-99.734703_psm3_60_2013.csv
new file mode 100644
index 000000000..5cf95da8f
--- /dev/null
+++ b/examples/resource_files/32.43861838431444__-99.73363995829895_32.438818_-99.734703_psm3_60_2013.csv
@@ -0,0 +1,8763 @@
+Source,Location ID,City,State,Country,Latitude,Longitude,Time Zone,Elevation,Local Time Zone,Clearsky DHI Units,Clearsky DNI Units,Clearsky GHI Units,Dew Point Units,DHI Units,DNI Units,GHI Units,Solar Zenith Angle Units,Temperature Units,Pressure Units,Relative Humidity Units,Precipitable Water Units,Wind Direction Units,Wind Speed,Cloud Type -15,Cloud Type 0,Cloud Type 1,Cloud Type 2,Cloud Type 3,Cloud Type 4,Cloud Type 5,Cloud Type 6,Cloud Type 7,Cloud Type 8,Cloud Type 9,Cloud Type 10,Cloud Type 11,Cloud Type 12,Fill Flag 0,Fill Flag 1,Fill Flag 2,Fill Flag 3,Fill Flag 4,Fill Flag 5,Surface Albedo Units,Version
+NSRDB,564277,-,-,-,35.21,-101.94,-6,1102,-6,w/m2,w/m2,w/m2,c,w/m2,w/m2,w/m2,Degree,c,mbar,%,cm,Degrees,m/s,N/A,Clear,Probably Clear,Fog,Water,Super-Cooled Water,Mixed,Opaque Ice,Cirrus,Overlapping,Overshooting,Unknown,Dust,Smoke,N/A,Missing Image,Low Irradiance,Exceeds Clearsky,Missing CLoud Properties,Rayleigh Violation,N/A,3.0.6
+Year,Month,Day,Hour,Minute,GHI,DHI,DNI,Wind Speed,Temperature,Solar Zenith Angle
+2012,1,1,0,30,0,0,0,1.8,-1,167
+2012,1,1,1,30,0,0,0,1.6,-1,165.16
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diff --git a/hybrid/battery.py b/hybrid/battery.py
index 9c5c43ab4..9e5102d63 100644
--- a/hybrid/battery.py
+++ b/hybrid/battery.py
@@ -44,11 +44,11 @@ def __init__(self,
                 raise ValueError
 
         system_model = BatteryModel.default(chemistry)
-        self.system_capacity_kw: float = battery_config['system_capacity_kw']
-        financial_model = Singleowner.from_existing(system_model, "GenericBatterySingleOwner")
+        financial_model = Singleowner.from_existing(system_model, "StandaloneBatterySingleOwner")
         super().__init__("Battery", site, system_model, financial_model)
 
         self.Outputs = Battery_Outputs(n_timesteps=site.n_timesteps)
+        self.system_capacity_kw: float = battery_config['system_capacity_kw']
         self.chemistry = chemistry
         BatteryTools.battery_model_sizing(self._system_model,
                                           battery_config['system_capacity_kw'],
@@ -119,7 +119,7 @@ def system_capacity_kw(self, size_kw: float):
         Sets the system capacity and updates the system, cost and financial model
         :param size_kw:
         """
-        # TODO: update financial model?
+        self._financial_model.value("system_capacity", size_kw)
         self._system_capacity_kw = size_kw
 
     @property
@@ -211,6 +211,8 @@ def update_battery_stored_values(self, time_step):
                     getattr(self.Outputs, attr)[time_step] = self.value('P')
 
     def simulate_financials(self, project_life):
+        self._financial_model.BatterySystem.batt_computed_bank_capacity = self.system_capacity_kwh
+
         # TODO: updated replacement values -> based on usage...
         try:
             self._financial_model.BatterySystem.batt_bank_replacement
@@ -222,8 +224,15 @@ def simulate_financials(self, project_life):
         else:
             self._financial_model.Lifetime.system_use_lifetime_output = 0
         self._financial_model.FinancialParameters.analysis_period = project_life
-
-        self._financial_model.value("construction_financing_cost", self.get_construction_financing_cost())
+        self._financial_model.CapacityPayments.cp_system_nameplate = self.system_capacity_kw
+        self._financial_model.SystemCosts.om_batt_nameplate = self.system_capacity_kw
+        try:
+            if self._financial_model.SystemCosts.om_production != 0:
+                raise ValueError("Battery's 'om_production' must be 0. For variable O&M cost based on battery discharge, "
+                                 "use `om_batt_variable_cost`, which is in $/MWh.")
+        except:
+            # om_production not set, so ok
+            pass
         self._financial_model.Revenue.ppa_soln_mode = 1
         # TODO: out to get SystemOutput.gen to populate?
         # if len(self._financial_model.SystemOutput.gen) == self.site.n_timesteps:
@@ -233,6 +242,14 @@ def simulate_financials(self, project_life):
 
             self._financial_model.SystemOutput.system_pre_curtailment_kwac = list(single_year_gen) * project_life
             self._financial_model.SystemOutput.annual_energy_pre_curtailment_ac = sum(single_year_gen)
+        else:
+            raise NotImplementedError
+
+        self._financial_model.LCOS.batt_annual_discharge_energy = [sum(i for i in single_year_gen if i > 0)] * project_life
+        self._financial_model.LCOS.batt_annual_charge_energy = [sum(i for i in single_year_gen if i < 0)] * project_life
+        # Do not calculate LCOS
+        self._financial_model.unassign("battery_total_cost_lcos")
+        self._financial_model.LCOS.batt_annual_charge_from_system = (0,)
 
         self._financial_model.execute(0)
         logger.info("{} simulation executed".format('battery'))
@@ -243,3 +260,17 @@ def generation_profile(self) -> Sequence:
             return self.Outputs.gen
         else:
             return [0] * self.site.n_timesteps
+
+    @property
+    def replacement_costs(self) -> Sequence:
+        if self.system_capacity_kw:
+            return self._financial_model.Outputs.cf_battery_replacement_cost
+        else:
+            return [0] * self.site.n_timesteps
+
+    @property
+    def annual_energy_kw(self) -> float:
+        if self.system_capacity_kw > 0:
+            return sum(self.Outputs.gen)
+        else:
+            return 0
diff --git a/hybrid/dispatch/grid_dispatch.py b/hybrid/dispatch/grid_dispatch.py
index 3f1f58f10..8e6598fee 100644
--- a/hybrid/dispatch/grid_dispatch.py
+++ b/hybrid/dispatch/grid_dispatch.py
@@ -64,12 +64,6 @@ def _create_grid_parameters(grid):
             within=pyomo.NonNegativeReals,
             mutable=True,
             units=u.MW)
-        grid.electricity_sales_tax = pyomo.Param(
-            doc="Total tax on electricity sales [0-1]",
-            default=0.0,
-            within=pyomo.NonNegativeReals,
-            mutable=True
-        )
 
     def _create_grid_variables(self, grid):
         ##################################
@@ -133,8 +127,7 @@ def _create_grid_constraints(self, grid):
                                                 - (grid.aux_system_load - grid.aux_system_generation)))
         grid.electricity_sales_calc = pyomo.Constraint(
             doc="Calculation of electricity sales for objective function",
-            expr=grid.electricity_sales == grid.time_duration * grid.electricity_sell_price * grid.electricity_sold * (
-                    1. - grid.electricity_sales_tax))
+            expr=grid.electricity_sales == grid.time_duration * grid.electricity_sell_price * grid.electricity_sold)
         grid.electricity_purchases_calc = pyomo.Constraint(
             doc="Calculation of electricity purchases for objective function",
             expr=grid.electricity_purchases == (grid.time_duration
@@ -181,8 +174,6 @@ def _create_grid_ports(grid):
     def initialize_dispatch_model_parameters(self):
         grid_limit_kw = self._system_model.value('grid_interconnection_limit_kwac')
         self.transmission_limit = [grid_limit_kw / 1e3] * len(self.blocks.index_set())
-        self.electricity_sales_tax = (self._financial_model.value("state_tax_rate")[0] +
-                                      self._financial_model.value("federal_tax_rate")[0]) * 0.01
 
     def update_time_series_dispatch_model_parameters(self, start_time: int):
         n_horizon = len(self.blocks.index_set())
@@ -273,14 +264,3 @@ def electricity_sales(self) -> list:
     def electricity_purchases(self) -> list:
         return [self.blocks[t].electricity_purchases.value for t in self.blocks.index_set()]
 
-    @property
-    def electricity_sales_tax(self) -> list:
-        return [self.blocks[t].electricity_sales_tax.value for t in self.blocks.index_set()]
-
-    @electricity_sales_tax.setter
-    def electricity_sales_tax(self, tax_rate: float):
-        if 1 >= tax_rate >= 0:
-            for t in range(len(self.blocks)):
-                self.blocks[t].electricity_sales_tax.set_value(round(tax_rate, self.round_digits))
-        else:
-            raise ValueError("'tax_rate' must be between 0 and 1")
diff --git a/hybrid/dispatch/hybrid_dispatch.py b/hybrid/dispatch/hybrid_dispatch.py
index 154893923..56ed0a23e 100644
--- a/hybrid/dispatch/hybrid_dispatch.py
+++ b/hybrid/dispatch/hybrid_dispatch.py
@@ -59,7 +59,9 @@ def dispatch_block_rule(self, hybrid, t):
         ##################################
         self._create_grid_constraints(hybrid, t)
         if 'battery' in self.power_sources.keys():
-            if not self.options.grid_charging:
+            if self.options.pv_charging_only:
+                self._create_pv_battery_limitation(hybrid)
+            elif not self.options.grid_charging:
                 self._create_grid_battery_limitation(hybrid)
 
     @staticmethod
@@ -181,6 +183,12 @@ def _create_grid_battery_limitation(hybrid):
             doc="Battery storage cannot charge via the grid",
             expr=hybrid.system_generation >= hybrid.battery_charge)
 
+    @staticmethod
+    def _create_pv_battery_limitation(hybrid):
+        hybrid.only_pv_battery_charge = pyomo.Constraint(
+            doc="Battery storage can only charge from pv",
+            expr=hybrid.pv_generation >= hybrid.battery_charge)
+
     def create_arcs(self):
         ##################################
         # Arcs                           #
diff --git a/hybrid/dispatch/hybrid_dispatch_builder_solver.py b/hybrid/dispatch/hybrid_dispatch_builder_solver.py
index 0d83ecda0..4f3da0da2 100644
--- a/hybrid/dispatch/hybrid_dispatch_builder_solver.py
+++ b/hybrid/dispatch/hybrid_dispatch_builder_solver.py
@@ -95,7 +95,7 @@ def glpk_solve_call(pyomo_model: pyomo.ConcreteModel,
                           'tmlim': 30
                           }
 
-        if log_name is not "":
+        if log_name != "":
             solver_options['log'] = log_name
 
         # This is to remove a super annoying warning -> by adding a null var and constraint
@@ -106,7 +106,7 @@ def glpk_solve_call(pyomo_model: pyomo.ConcreteModel,
 
         results = solver.solve(pyomo_model, options=solver_options)
 
-        if log_name is not "":
+        if log_name != "":
             HybridDispatchBuilderSolver.append_solve_to_log(log_name, solver_options['log'])
 
         if results.solver.termination_condition == TerminationCondition.infeasible:
@@ -118,18 +118,16 @@ def glpk_solve(self):
 
     @staticmethod
     def mindtpy_solve_call(pyomo_model: pyomo.ConcreteModel,
-                           log_name: str = None):
+                           log_name: str = ""):
         solver = pyomo.SolverFactory('mindtpy')
 
-        if log_name is not None:
-            solver_options = {'log': 'dispatch_instance.log'}
-
         results = solver.solve(pyomo_model,
                                mip_solver='glpk',
                                nlp_solver='ipopt',
                                tee=True)
 
-        if log_name is not None:
+        if log_name != "":
+            solver_options = {'log': 'dispatch_instance.log'}
             HybridDispatchBuilderSolver.append_solve_to_log(log_name, solver_options['log'])
 
         if results.solver.termination_condition == TerminationCondition.infeasible:
diff --git a/hybrid/dispatch/hybrid_dispatch_options.py b/hybrid/dispatch/hybrid_dispatch_options.py
index 0e790136f..a494c639b 100644
--- a/hybrid/dispatch/hybrid_dispatch_options.py
+++ b/hybrid/dispatch/hybrid_dispatch_options.py
@@ -22,6 +22,7 @@ def __init__(self, dispatch_options: dict = None):
                 'battery_dispatch': str (default='simple'), sets the battery dispatch model to use for dispatch
                     options: ('simple', 'one_cycle_heuristic', 'heuristic', 'non_convex_LV', 'convex_LV'),
                 'grid_charging': bool (default=True), can the battery charge from the grid,
+                'pv_charging_only': bool (default=False), whether restricted to only charge from PV (ITC qualification)
                 'include_lifecycle_count': bool (default=True), should battery lifecycle counting be included,
                 'n_look_ahead_periods': int (default=48), number of time periods dispatch looks ahead
                 'n_roll_periods': int (default=24), number of time periods simulation rolls forward after each dispatch,
@@ -32,6 +33,7 @@ def __init__(self, dispatch_options: dict = None):
         self.battery_dispatch: str = 'simple'
         self.include_lifecycle_count: bool = True
         self.grid_charging: bool = True
+        self.pv_charging_only: bool = False
         self.n_look_ahead_periods: int = 48
         self.n_roll_periods: int = 24
         self.log_name: str = 'hybrid_dispatch_optimization.log'
@@ -47,6 +49,9 @@ def __init__(self, dispatch_options: dict = None):
                 else:
                     raise NameError("'{}' is not an attribute in {}".format(key, type(self).__name__))
 
+        if self.pv_charging_only and self.grid_charging:
+            raise ValueError("Battery cannot be restricted to charge from PV only if grid_charging is enabled")
+
         self._battery_dispatch_model_options = {
             'one_cycle_heuristic': OneCycleBatteryDispatchHeuristic,
             'heuristic': SimpleBatteryDispatchHeuristic,
diff --git a/hybrid/dispatch/plot_tools.py b/hybrid/dispatch/plot_tools.py
index 77325139c..6b174f394 100644
--- a/hybrid/dispatch/plot_tools.py
+++ b/hybrid/dispatch/plot_tools.py
@@ -244,7 +244,14 @@ def plot_generation_profile(hybrid: HybridSimulation,
                             n_days: int = 5,
                             plot_filename: str = None,
                             font_size: int = 14,
-                            power_scale: float = 1/1000):
+                            power_scale: float = 1/1000,
+                            solar_color='r',
+                            wind_color='b',
+                            discharge_color='b',
+                            charge_color='r',
+                            gen_color='g',
+                            price_color='r'
+                            ):
 
     if not hasattr(hybrid, 'dispatch_builder'):
         raise AttributeError("Simulation with dispatch must be called before plotting generation profile.")
@@ -260,9 +267,9 @@ def plot_generation_profile(hybrid: HybridSimulation,
     plt.subplot(3, 1, 1)
     solar = hybrid.pv.generation_profile[time_slice]
     wind = hybrid.wind.generation_profile[time_slice]
-    plt.plot(time, [x * power_scale for x in wind], 'b', label='Wind Farm Generation')
+    plt.plot(time, [x * power_scale for x in wind], color=wind_color, label='Wind Farm Generation')
     # plt.plot(time, [x * power_scale for x in ts_wind][st:et], 'b--', label='Wind Farm Resource')
-    plt.plot(time, [x * power_scale for x in solar], 'r', label='PV Generation')
+    plt.plot(time, [x * power_scale for x in solar], color=solar_color, label='PV Generation')
     # plt.plot(time, [x * power_scale for x in ts_solar][st:et], 'r--', label='PV Resource')
 
     plt.xlim([start, end])
@@ -279,8 +286,8 @@ def plot_generation_profile(hybrid: HybridSimulation,
     plt.tick_params(which='both', labelsize=font_size)
     discharge = [(p > 0) * p * power_scale for p in hybrid.battery.Outputs.P[time_slice]]
     charge = [(p < 0) * p * power_scale for p in hybrid.battery.Outputs.P[time_slice]]
-    plt.bar(time, discharge, width=0.9, color='blue', edgecolor='white', label='Battery Discharge')
-    plt.bar(time, charge, width=0.9, color='red', edgecolor='white', label='Battery Charge')
+    plt.bar(time, discharge, width=0.9, color=discharge_color, edgecolor='white', label='Battery Discharge')
+    plt.bar(time, charge, width=0.9, color=charge_color, edgecolor='white', label='Battery Charge')
     plt.xlim([start, end])
     ax = plt.gca()
     ax.xaxis.set_ticks(list(range(start, end, hybrid.site.n_periods_per_day)))
@@ -292,7 +299,7 @@ def plot_generation_profile(hybrid: HybridSimulation,
     ax2 = ax1.twinx()
     ax2.plot(time, hybrid.battery.Outputs.SOC[time_slice], 'k', label='State-of-Charge')
     ax2.plot(time, hybrid.battery.Outputs.dispatch_SOC[time_slice], '.', label='Dispatch')
-    ax2.set_ylabel('Stat-of-Charge (-)', fontsize=font_size)
+    ax2.set_ylabel('State-of-Charge (-)', fontsize=font_size)
     ax2.legend(fontsize=font_size-2, loc='upper right')
     plt.title('Battery Power Flow', fontsize=font_size)
 
@@ -303,7 +310,7 @@ def plot_generation_profile(hybrid: HybridSimulation,
                                                         list(hybrid.pv.generation_profile[time_slice]))]
     gen = [p * power_scale for p in list(hybrid.grid.generation_profile_from_system[time_slice])]
     plt.plot(time, original_gen, 'k--', label='Original Generation')
-    plt.plot(time, gen, 'g', label='Optimized Dispatch')
+    plt.plot(time, gen, color=gen_color, label='Optimized Dispatch')
     plt.xlim([start, end])
     ax = plt.gca()
     ax.xaxis.set_ticks(list(range(start, end, hybrid.site.n_periods_per_day)))
@@ -315,7 +322,7 @@ def plot_generation_profile(hybrid: HybridSimulation,
     ax2 = ax1.twinx()
 
     price = [p * hybrid.ppa_price[0] for p in hybrid.site.elec_prices.data[time_slice]]
-    ax2.plot(time, price, 'r', label='Price')
+    ax2.plot(time, price, color=price_color, label='Price')
     ax2.set_ylabel('Grid Price ($/kWh)', fontsize=font_size)
     ax2.legend(fontsize=font_size-2, loc='upper right')
     plt.xlabel('Time (hours)', fontsize=font_size)
diff --git a/hybrid/dispatch/power_sources/pv_dispatch.py b/hybrid/dispatch/power_sources/pv_dispatch.py
index c364ce993..c781ded69 100644
--- a/hybrid/dispatch/power_sources/pv_dispatch.py
+++ b/hybrid/dispatch/power_sources/pv_dispatch.py
@@ -2,14 +2,14 @@
 from pyomo.environ import ConcreteModel, Set
 
 import PySAM.Pvsamv1 as Pvsam
-import PySAM.Pvwattsv7 as Pvwatts
+import PySAM.Pvwattsv8 as Pvwatts
 import PySAM.Singleowner as Singleowner
 
 from hybrid.dispatch.power_sources.power_source_dispatch import PowerSourceDispatch
 
 
 class PvDispatch(PowerSourceDispatch):
-    _system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv7]
+    _system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv8]
     _financial_model: Singleowner.Singleowner
     """
 
@@ -17,7 +17,7 @@ class PvDispatch(PowerSourceDispatch):
     def __init__(self,
                  pyomo_model: ConcreteModel,
                  indexed_set: Set,
-                 system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv7],
+                 system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv8],
                  financial_model: Singleowner.Singleowner,
                  block_set_name: str = 'pv'):
         super().__init__(pyomo_model, indexed_set, system_model, financial_model, block_set_name=block_set_name)
diff --git a/hybrid/dispatch/power_storage/simple_battery_dispatch.py b/hybrid/dispatch/power_storage/simple_battery_dispatch.py
index 2f42345bd..3be8df013 100644
--- a/hybrid/dispatch/power_storage/simple_battery_dispatch.py
+++ b/hybrid/dispatch/power_storage/simple_battery_dispatch.py
@@ -32,7 +32,7 @@ def initialize_dispatch_model_parameters(self):
         if self.include_lifecycle_count:
             self.lifecycle_cost = 0.01 * self._system_model.value('nominal_energy')  # TODO: update value
 
-        om_cost = self._financial_model.value("om_capacity")[0] * 1e3 / 8760.
+        om_cost = self._financial_model.value("om_batt_variable_cost")[0]   # [$/MWh]
         self.cost_per_charge = om_cost / 2
         self.cost_per_discharge = om_cost / 2
         self.minimum_power = 0.0
diff --git a/hybrid/grid.py b/hybrid/grid.py
index a91b8ec91..ac20f22bd 100644
--- a/hybrid/grid.py
+++ b/hybrid/grid.py
@@ -21,6 +21,9 @@ def __init__(self, site: SiteInfo, interconnect_kw):
         self._system_model.GridLimits.enable_interconnection_limit = 1
         self._system_model.GridLimits.grid_interconnection_limit_kwac = interconnect_kw
 
+        # financial calculations set up
+        self._financial_model.value("add_om_num_types", 1)
+
         self._dispatch: GridDispatch = None
 
     @property
diff --git a/hybrid/hybrid_simulation.py b/hybrid/hybrid_simulation.py
index a5bc4e3c5..7ac7f65ba 100644
--- a/hybrid/hybrid_simulation.py
+++ b/hybrid/hybrid_simulation.py
@@ -1,5 +1,6 @@
 from pathlib import Path
 from typing import Union
+import json
 from collections import OrderedDict
 
 import numpy as np
@@ -19,6 +20,8 @@
 
 
 class HybridSimulationOutput:
+    _keys = ("pv", "wind", "battery", "hybrid")
+
     def __init__(self, power_sources):
         self.power_sources = power_sources
         self.hybrid = 0
@@ -30,15 +33,26 @@ def create(self):
         return HybridSimulationOutput(self.power_sources)
 
     def __repr__(self):
-        conts = "{"
-        if 'pv' in self.power_sources.keys():
-            conts += "\"pv\": " + str(self.pv) + ", "
-        if 'wind' in self.power_sources.keys():
-            conts += "\"wind\": " + str(self.wind) + ", "
-        if 'battery' in self.power_sources.keys():
-            conts += "\"battery\": " + str(self.battery) + ", "
-        conts += "\"hybrid\": " + str(self.hybrid) + "}"
-        return conts
+        repr_dict = {}
+        for k in self.power_sources.keys():
+            if k == 'grid':
+                repr_dict['hybrid'] = self.hybrid
+            else:
+                repr_dict[k] = getattr(self, k)
+        repr_dict['hybrid'] = self.hybrid
+        return json.dumps(repr_dict)
+
+    def __getitem__(self, name):
+        return getattr(self, name)
+
+    def values(self):
+        return (self[i] for i in self._keys)
+
+    def keys(self):
+        return self._keys
+
+    def items(self):
+        return zip(self.keys(), self.values())
 
 
 class HybridSimulation:
@@ -263,24 +277,50 @@ def calculate_financials(self):
             return
 
         size_ratios = []
-
         for v in generators:
             size_ratios.append(v.system_capacity_kw / hybrid_size_kw)
-        assert abs(sum(size_ratios) - 1) < 1e-7
 
-        def set_average_for_hybrid(var_name):
+        non_storage_production_ratio = []
+        non_storage_production_total = sum([v.annual_energy_kw for v in generators if v.annual_energy_kw > 0])
+        for v in generators:
+            if v.annual_energy_kw > 0:
+                non_storage_production_ratio.append(v.annual_energy_kw / non_storage_production_total)
+            else:
+                non_storage_production_ratio.append(0)
+
+        production_ratio = []
+        production_total = sum([v.annual_energy_kw for v in generators])
+        for v in generators:
+            if v.annual_energy_kw > 0:
+                production_ratio.append(v.annual_energy_kw / production_total)
+            else:
+                production_ratio.append(0)
+
+        cost_ratios = []
+        total_cost = sum([v.total_installed_cost for v in generators])
+        for v in generators:
+            cost_ratios.append(v.total_installed_cost / total_cost)
+
+        def set_average_for_hybrid(var_name, weight_factor=None):
             """
             Sets the hybrid plant's financial input to the weighted average of each component's value
             """
-            hybrid_avg = sum(np.array(v.value(var_name)) * size_ratios[n]
+            if not weight_factor:
+                weight_factor = [1 / len(generators) for _ in generators]
+            hybrid_avg = sum(np.array(v.value(var_name)) * weight_factor[n]
                              for n, v in enumerate(generators))
             self.grid.value(var_name, hybrid_avg)
             return hybrid_avg
 
-        # Debt and Financing
-        hybrid_construction_financing_cost = sum(v.get_construction_financing_cost() for v in generators)
-        self.grid.set_construction_financing_cost_per_kw(hybrid_construction_financing_cost / hybrid_size_kw)
-        set_average_for_hybrid("debt_percent")
+        def set_logical_or_for_hybrid(var_name):
+            """
+            Sets the hybrid plant's financial input to the logical or value of each component's value
+            """
+            hybrid_or = sum(np.array(v.value(var_name)) for n, v in enumerate(generators)) > 0
+            self.grid.value(var_name, int(hybrid_or))
+            return hybrid_or
+
+        # Debt and Financing should be handled via user customization of the grid's financial model
 
         # capacity payments
         for v in generators:
@@ -288,23 +328,64 @@ def set_average_for_hybrid(var_name):
         self.grid.value("cp_system_nameplate", hybrid_size_kw)
 
         # O&M Cost
-        set_average_for_hybrid("om_capacity")
-        set_average_for_hybrid("om_fixed")
-        set_average_for_hybrid("om_production")
+        set_average_for_hybrid("om_capacity", size_ratios)
+        set_average_for_hybrid("om_fixed", [1] * len(generators))
+        set_average_for_hybrid("om_production", non_storage_production_ratio)
+        if 'battery' in self.power_sources.keys():
+            self.grid.value("om_batt_variable_cost", self.battery.value("om_batt_variable_cost"))
 
         # Tax Incentives
-        set_average_for_hybrid("ptc_fed_amount")
-        set_average_for_hybrid("ptc_fed_escal")
-        set_average_for_hybrid("itc_fed_amount")
-        set_average_for_hybrid("itc_fed_percent")
+        set_average_for_hybrid("ptc_fed_amount", production_ratio)
+        set_average_for_hybrid("ptc_fed_escal", production_ratio)
+        set_average_for_hybrid("itc_fed_amount", cost_ratios)
+        set_average_for_hybrid("itc_fed_percent", cost_ratios)
+
+        # Federal Depreciation Allocations are averaged
+        set_average_for_hybrid("depr_alloc_macrs_5_percent", cost_ratios)
+        set_average_for_hybrid("depr_alloc_macrs_15_percent", cost_ratios)
+        set_average_for_hybrid("depr_alloc_sl_5_percent", cost_ratios)
+        set_average_for_hybrid("depr_alloc_sl_15_percent", cost_ratios)
+        set_average_for_hybrid("depr_alloc_sl_20_percent", cost_ratios)
+        set_average_for_hybrid("depr_alloc_sl_39_percent", cost_ratios)
+        set_average_for_hybrid("depr_alloc_custom_percent", cost_ratios)
+
+        # Federal Depreciation Qualification are "hybridized" by taking the logical or
+        set_logical_or_for_hybrid("depr_bonus_fed_macrs_5")
+        set_logical_or_for_hybrid("depr_bonus_sta_macrs_5")
+        set_logical_or_for_hybrid("depr_itc_fed_macrs_5")
+        set_logical_or_for_hybrid("depr_itc_sta_macrs_5")
+        set_logical_or_for_hybrid("depr_bonus_fed_macrs_15")
+        set_logical_or_for_hybrid("depr_bonus_sta_macrs_15")
+        set_logical_or_for_hybrid("depr_itc_fed_macrs_15")
+        set_logical_or_for_hybrid("depr_itc_sta_macrs_15")
+        set_logical_or_for_hybrid("depr_bonus_fed_sl_5")
+        set_logical_or_for_hybrid("depr_bonus_sta_sl_5")
+        set_logical_or_for_hybrid("depr_itc_fed_sl_5")
+        set_logical_or_for_hybrid("depr_itc_sta_sl_5")
+        set_logical_or_for_hybrid("depr_bonus_fed_sl_15")
+        set_logical_or_for_hybrid("depr_bonus_sta_sl_15")
+        set_logical_or_for_hybrid("depr_itc_fed_sl_15")
+        set_logical_or_for_hybrid("depr_itc_sta_sl_15")
+        set_logical_or_for_hybrid("depr_bonus_fed_sl_20")
+        set_logical_or_for_hybrid("depr_bonus_sta_sl_20")
+        set_logical_or_for_hybrid("depr_itc_fed_sl_20")
+        set_logical_or_for_hybrid("depr_itc_sta_sl_20")
+        set_logical_or_for_hybrid("depr_bonus_fed_sl_39")
+        set_logical_or_for_hybrid("depr_bonus_sta_sl_39")
+        set_logical_or_for_hybrid("depr_itc_fed_sl_39")
+        set_logical_or_for_hybrid("depr_itc_sta_sl_39")
+        set_logical_or_for_hybrid("depr_bonus_fed_custom")
+        set_logical_or_for_hybrid("depr_bonus_sta_custom")
+        set_logical_or_for_hybrid("depr_itc_fed_custom")
+        set_logical_or_for_hybrid("depr_itc_sta_custom")
 
         # Degradation of energy output year after year
-        set_average_for_hybrid("degradation")
+        set_average_for_hybrid("degradation", non_storage_production_ratio)
 
         self.grid.value("ppa_soln_mode", 1)
 
         if self.battery:
-            self.grid._financial_model.SystemCosts.om_replacement_cost1 = self.battery._financial_model.SystemCosts.om_replacement_cost1
+            self.grid._financial_model.SystemCosts.om_batt_replacement_cost = self.battery._financial_model.SystemCosts.om_batt_replacement_cost
 
     def simulate(self,
                  project_life: int = 25):
@@ -313,7 +394,6 @@ def simulate(self,
         :return:
         """
         self.calculate_installed_cost()
-        self.calculate_financials()
 
         hybrid_size_kw = 0
         total_gen = np.zeros(self.site.n_timesteps * project_life)
@@ -344,20 +424,36 @@ def simulate(self,
             elif self.battery:
                 self.dispatch_builder.simulate()
                 hybrid_size_kw += self.battery.system_capacity_kw
+
+                self.grid._financial_model.SystemOutput.gen_without_battery = total_gen
                 gen = np.tile(self.battery.generation_profile,
                               int(project_life / (len(self.battery.generation_profile) // self.site.n_timesteps)))
                 total_gen += gen
-            self.battery.simulate_financials(project_life)
+                self.battery.simulate_financials(project_life)
             # copy over replacement info
             self.grid._financial_model.BatterySystem.assign(self.battery._financial_model.BatterySystem.export())
+            # copy over dummy LCOS information which is required for simulation even though we aren't calculating LCOS
+            self.grid._financial_model.LCOS.assign(self.battery._financial_model.LCOS.export())
 
         self.grid.generation_profile_from_system = total_gen
         self.grid.system_capacity_kw = hybrid_size_kw
+        self.calculate_financials()
 
         self.grid.simulate(project_life)
 
         logger.info(f"Hybrid Simulation complete. NPVs are {self.net_present_values}. AEPs are {self.annual_energies}.")
 
+    @property
+    def system_capacity_kw(self):
+        cap = self.outputs_factory.create()
+        for v in self.power_sources.keys():
+            if v == "grid":
+                continue
+            if hasattr(self, v):
+                setattr(cap, v, getattr(getattr(self, v), "system_capacity_kw"))
+        cap.hybrid = self.grid.system_capacity_kw
+        return cap
+
     @property
     def annual_energies(self):
         aep = self.outputs_factory.create()
@@ -471,6 +567,13 @@ def federal_taxes(self):
         """
         return self._aggregate_financial_output("federal_taxes", 1)
 
+    @property
+    def tax_incentives(self):
+        """
+        Federal and state Production Tax Credits and Investment Tax Credits, $/year
+        """
+        return self._aggregate_financial_output("tax_incentives", 1)
+
     @property
     def debt_payment(self):
         """
@@ -486,11 +589,32 @@ def insurance_expenses(self):
         return self._aggregate_financial_output("insurance_expense", 1)
 
     @property
-    def om_expenses(self):
+    def om_capacity_expenses(self):
+        """
+        Capacity-based O&M, $/kW-year
+        """
+        return self._aggregate_financial_output("om_capacity_expense", 1)
+
+    @property
+    def om_fixed_expenses(self):
+        """
+        Fixed O&M, $/year
+        """
+        return self._aggregate_financial_output("om_fixed_expense", 1)
+
+    @property
+    def om_variable_expenses(self):
+        """
+        Variable O&M, $/kW
+        """
+        return self._aggregate_financial_output("om_variable_expense", 1)
+
+    @property
+    def om_total_expenses(self):
         """
-        Total O&M expenses including fixed, production-based, and capacity-based, $/year
+        Total O&M expenses including fixed, variable, and capacity-based, $/year
         """
-        return self._aggregate_financial_output("om_expense", 1)
+        return self._aggregate_financial_output("om_total_expense", 1)
 
     @property
     def net_present_values(self):
diff --git a/hybrid/layout/flicker_mismatch.py b/hybrid/layout/flicker_mismatch.py
index ada344da1..3c63ce9c9 100644
--- a/hybrid/layout/flicker_mismatch.py
+++ b/hybrid/layout/flicker_mismatch.py
@@ -11,7 +11,7 @@
 from shapely.geometry import MultiPoint, Polygon, Point, MultiPolygon, box
 from shapely.affinity import translate
 from pvmismatch import pvsystem
-import PySAM.Pvwattsv7 as pv
+import PySAM.Pvwattsv8 as pv
 
 from hybrid.log import flicker_logger as logger
 from hybrid.resource import SolarResource
@@ -39,7 +39,7 @@ class FlickerMismatch:
     in several ways:
 
         The 'poa' heat map is produced as a loss ratio relative to unshaded areas (0 - 1). This loss ratio is with
-        respect to plane-of-array irradiance, as calculated for a single-axis tracking system using PVWattsv7.
+        respect to plane-of-array irradiance, as calculated for a single-axis tracking system using PVWattsv8.
 
         The 'power' heat map is another loss ratio (0 - 1), but with respect to power production of an unshaded
         string of panels as modeled by PVMismatch. This is calculated by modeling panels at each grid location, grouped into
diff --git a/hybrid/layout/pv_layout.py b/hybrid/layout/pv_layout.py
index fb1e2a7f6..1213c7d80 100644
--- a/hybrid/layout/pv_layout.py
+++ b/hybrid/layout/pv_layout.py
@@ -1,7 +1,7 @@
 from typing import NamedTuple, Optional, Union
 import numpy as np
 from shapely.geometry import Point, Polygon
-import PySAM.Pvwattsv7 as pv_simple
+import PySAM.Pvwattsv8 as pv_simple
 import PySAM.Pvsamv1 as pv_detailed
 
 from hybrid.log import hybrid_logger as logger
@@ -43,12 +43,12 @@ class PVLayout:
 
     def __init__(self,
                  site_info: SiteInfo,
-                 solar_source: Union[pv_simple.Pvwattsv7, pv_detailed.Pvsamv1],
+                 solar_source: Union[pv_simple.Pvwattsv8, pv_detailed.Pvsamv1],
                  parameters: Optional[PVGridParameters] = None,
                  min_spacing: float = 100.
                  ):
         self.site: SiteInfo = site_info
-        self._system_model: Union[pv_simple.Pvwattsv7, pv_detailed.Pvsamv1] = solar_source
+        self._system_model: Union[pv_simple.Pvwattsv8, pv_detailed.Pvsamv1] = solar_source
         self.min_spacing = min_spacing
 
         self.module_power: float = module_power
@@ -68,7 +68,7 @@ def __init__(self,
         self.num_modules = 0
 
     def _set_system_layout(self):
-        if isinstance(self._system_model, pv_simple.Pvwattsv7):
+        if isinstance(self._system_model, pv_simple.Pvwattsv8):
             if self.parameters:
                 self._system_model.SystemDesign.gcr = self.parameters.gcr
             if type(self.parameters) == PVGridParameters:
diff --git a/hybrid/layout/pv_layout_tools.py b/hybrid/layout/pv_layout_tools.py
index a50385743..f945a5f15 100644
--- a/hybrid/layout/pv_layout_tools.py
+++ b/hybrid/layout/pv_layout_tools.py
@@ -1,7 +1,7 @@
 from math import floor
 from shapely.geometry import MultiLineString, GeometryCollection
 
-import PySAM.Pvwattsv7 as pvwatts
+import PySAM.Pvwattsv8 as pvwatts
 import PySAM.Windpower as windpower
 from shapely.prepared import (
     PreparedGeometry,
diff --git a/hybrid/power_source.py b/hybrid/power_source.py
index 18a19a902..0688b9cf1 100644
--- a/hybrid/power_source.py
+++ b/hybrid/power_source.py
@@ -1,4 +1,4 @@
-from typing import Iterable
+from typing import Iterable, Sequence
 import numpy as np
 from hybrid.sites import SiteInfo
 
@@ -17,7 +17,30 @@ def __init__(self, name, site: SiteInfo, system_model, financial_model):
         self._financial_model = financial_model
         self._layout = None
         self._dispatch = PowerSourceDispatch
-        self.set_construction_financing_cost_per_kw(0)
+        self.initialize_financial_values()
+
+    def initialize_financial_values(self):
+        """
+        These values are provided as default values from PySAM but should be customized by user
+
+        Debt, Reserve Account and Construction Financing Costs are initialized to 0
+        Federal Bonus Depreciation also initialized to 0
+        """
+        self._financial_model.value("debt_option", 1)
+        self._financial_model.value("dscr", 0)
+        self._financial_model.value("debt_percent", 0)
+        self._financial_model.value("cost_debt_closing", 0)
+        self._financial_model.value("cost_debt_fee", 0)
+        self._financial_model.value("term_int_rate", 0)
+        self._financial_model.value("term_tenor", 0)
+        self._financial_model.value("dscr_reserve_months", 0)
+        self._financial_model.value("equip1_reserve_cost", 0)
+        self._financial_model.value("months_working_reserve", 0)
+        self._financial_model.value("insurance_rate", 0)
+        self._financial_model.value("construction_financing_cost", 0)
+        self._financial_model.value("om_land_lease", (0,))
+        self._financial_model.unassign("battery_total_cost_lcos")
+        self._financial_model.value("cp_battery_nameplate", 0)
 
     def value(self, var_name, var_value=None):
         attr_obj = None
@@ -55,6 +78,7 @@ def value(self, var_name, var_value=None):
     #
     # Inputs
     #
+
     @property
     def system_capacity_kw(self) -> float:
         raise NotImplementedError
@@ -130,17 +154,57 @@ def total_installed_cost(self, total_installed_cost_dollars: float):
 
     @property
     def om_capacity(self):
-        return self._financial_model.value("om_capacity")
+        if self.name != "Battery":
+            return self._financial_model.value("om_capacity")
+        return self._financial_model.value("om_batt_capacity_cost")
 
     @om_capacity.setter
-    def om_capacity(self, om_dollar_per_kw: float):
-        self._financial_model.value("om_capacity", om_dollar_per_kw)
+    def om_capacity(self, om_capacity_per_kw: Sequence):
+        if not isinstance(om_capacity_per_kw, Sequence):
+            om_capacity_per_kw = (om_capacity_per_kw,)
+        if self.name != "Battery":
+            self._financial_model.value("om_capacity", om_capacity_per_kw)
+        else:
+            self._financial_model.value("om_batt_capacity_cost", om_capacity_per_kw)
 
-    def set_construction_financing_cost_per_kw(self, construction_financing_cost_per_kw):
-        self._construction_financing_cost_per_kw = construction_financing_cost_per_kw
+    @property
+    def om_fixed(self):
+        if self.name != "Battery":
+            return self._financial_model.value("om_fixed")
+        return self._financial_model.value("om_batt_fixed_cost")
+
+    @om_fixed.setter
+    def om_fixed(self, om_fixed_per_year: Sequence):
+        if not isinstance(om_fixed_per_year, Sequence):
+            om_fixed_per_year = (om_fixed_per_year,)
+        if self.name != "Battery":
+            self._financial_model.value("om_fixed", om_fixed_per_year)
+        else:
+            self._financial_model.value("om_batt_fixed_cost", om_fixed_per_year)
 
-    def get_construction_financing_cost(self) -> float:
-        return self._construction_financing_cost_per_kw * self.system_capacity_kw
+    @property
+    def om_variable(self):
+        if self.name != "Battery":
+            return self._financial_model.value("om_production")
+        else:
+            return self._financial_model.value("om_batt_variable_cost") * 1e3
+
+    @om_variable.setter
+    def om_variable(self, om_variable_per_kw: Sequence):
+        if not isinstance(om_variable_per_kw, Sequence):
+            om_variable_per_kw = (om_variable_per_kw,)
+        if self.name != "Battery":
+            self._financial_model.value("om_production", om_variable_per_kw)
+        else:
+            self._financial_model.value("om_batt_variable_cost", [i * 1e-3 for i in om_variable_per_kw])
+
+    @property
+    def construction_financing_cost(self) -> float:
+        return self._financial_model.value("construction_financing_cost")
+
+    @construction_financing_cost.setter
+    def construction_financing_cost(self, construction_financing_cost):
+        self._financial_model.value("construction_financing_cost", construction_financing_cost)
 
     def simulate(self, project_life: int = 25, skip_fin=False):
         """
@@ -164,7 +228,6 @@ def simulate(self, project_life: int = 25, skip_fin=False):
             return
 
         self._financial_model.SystemOutput.gen = self._system_model.value("gen")
-        self._financial_model.value("construction_financing_cost", self.get_construction_financing_cost())
         self._financial_model.Revenue.ppa_soln_mode = 1
         if len(self._financial_model.SystemOutput.gen) == self.site.n_timesteps:
             single_year_gen = self._financial_model.SystemOutput.gen
@@ -173,6 +236,7 @@ def simulate(self, project_life: int = 25, skip_fin=False):
         if self.name != "Grid":
             self._financial_model.SystemOutput.system_pre_curtailment_kwac = self._system_model.value("gen") * project_life
             self._financial_model.SystemOutput.annual_energy_pre_curtailment_ac = self._system_model.value("annual_energy")
+            self._financial_model.CapacityPayments.cp_system_nameplate = self.system_capacity_kw
 
         self._financial_model.execute(0)
         logger.info(f"{self.name} simulation executed with AEP {self.annual_energy_kw}")
@@ -236,7 +300,7 @@ def energy_sales_value(self) -> tuple:
     @property
     def energy_purchases_value(self) -> tuple:
         if self.system_capacity_kw > 0 and self._financial_model:
-            return self._financial_model.value("cf_energy_purchases_value")
+            return self._financial_model.value("cf_utility_bill")
         else:
             return (0, )
 
@@ -276,15 +340,57 @@ def insurance_expense(self) -> tuple:
             return (0, )
 
     @property
-    def om_expense(self):
+    def tax_incentives(self):
+        if self.system_capacity_kw > 0 and self._financial_model:
+            tc = np.array(self._financial_model.value("cf_ptc_fed"))
+            tc += np.array(self._financial_model.value("cf_ptc_sta"))
+            try:
+                tc[1] += self._financial_model.value("itc_total")
+            except:
+                pass
+            return tc.tolist()
+        else:
+            return (0,)
+
+    @property
+    def om_capacity_expense(self):
+        if self.system_capacity_kw > 0 and self._financial_model:
+            if self.name == "Battery":
+                return self._financial_model.value("cf_om_capacity1_expense")
+            return self._financial_model.value("cf_om_capacity_expense")
+        else:
+            return [0, ]
+
+    @property
+    def om_fixed_expense(self):
+        if self.system_capacity_kw > 0 and self._financial_model:
+            if self.name == "Battery":
+                return self._financial_model.value("cf_om_fixed1_expense")
+            return self._financial_model.value("cf_om_fixed_expense")
+        else:
+            return [0, ]
+
+    @property
+    def om_variable_expense(self):
+        if self.system_capacity_kw > 0 and self._financial_model:
+            if self.name == "Battery":
+                return self._financial_model.value("cf_om_production1_expense")
+            elif self.name == "Grid":
+                return [self._financial_model.value("cf_om_production_expense")[i] +
+                        self._financial_model.value("cf_om_production1_expense")[i] for i in
+                        range(len(self._financial_model.value("cf_om_production_expense")))]
+            return self._financial_model.value("cf_om_production_expense")
+        else:
+            return [0, ]
+
+    @property
+    def om_total_expense(self):
         if self.system_capacity_kw > 0 and self._financial_model:
-            om_exp = np.array(0.)
-            om_types = ("capacity1", "capacity2", "capacity",
-                        "fixed1", "fixed2", "fixed",
-                        "production1", "production2", "production")
-            for om in om_types:
-                om_exp = om_exp + np.array(self._financial_model.value("cf_om_" + om + "_expense"))
-            return om_exp.tolist()
+            op_exp = self._financial_model.value("cf_operating_expenses")
+            if self.name != "Battery" and self.name != "Grid":
+                return op_exp
+            # Battery's operating costs include electricity purchased to charge the battery
+            return [op_exp[i] - self._financial_model.value("cf_utility_bill")[i] for i in range(len(op_exp))]
         else:
             return [0, ]
 
diff --git a/hybrid/pv_source.py b/hybrid/pv_source.py
index 8d9b89fc2..3665668f2 100644
--- a/hybrid/pv_source.py
+++ b/hybrid/pv_source.py
@@ -1,7 +1,7 @@
 from typing import Union, Optional, Sequence
 
 import PySAM.Pvsamv1 as Pvsam
-import PySAM.Pvwattsv7 as Pvwatts
+import PySAM.Pvwattsv8 as Pvwatts
 import PySAM.Singleowner as Singleowner
 
 from hybrid.power_source import *
@@ -10,7 +10,7 @@
 
 
 class PVPlant(PowerSource):
-    _system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv7]
+    _system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv8]
     _financial_model: Singleowner.Singleowner
     _layout: PVLayout
     _dispatch: PvDispatch
diff --git a/hybrid/wind_source.py b/hybrid/wind_source.py
index f13f6baab..8c099f696 100644
--- a/hybrid/wind_source.py
+++ b/hybrid/wind_source.py
@@ -146,7 +146,7 @@ def modify_powercurve(self, rotor_diam, rating_kw):
         """
         elevation = 0
         wind_default_max_cp = 0.45
-        wind_default_max_tip_speed = 80
+        wind_default_max_tip_speed = 60
         wind_default_max_tip_speed_ratio = 8
         wind_default_cut_in_speed = 4
         wind_default_cut_out_speed = 25
diff --git a/requirements-dev.txt b/requirements-dev.txt
index cdd507c2a..cb8921ca2 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,4 +1,4 @@
-NREL-PySAM==2.2.2
+NREL-PySAM==3.0.0
 Pillow
 Pyomo>=6.1.2
 floris
diff --git a/requirements.txt b/requirements.txt
index 9cd2d7dc8..45739d47a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-NREL-PySAM==2.2.2
+NREL-PySAM==3.0.0
 Pillow
 Pyomo>=6.1.2
 floris
diff --git a/resource_files/solar/39.7555_-105.2211_psmv3_60_2012.csv b/resource_files/solar/39.7555_-105.2211_psmv3_60_2012.csv
index 8c87c8767..f58958b46 100644
--- a/resource_files/solar/39.7555_-105.2211_psmv3_60_2012.csv
+++ b/resource_files/solar/39.7555_-105.2211_psmv3_60_2012.csv
@@ -1,4 +1,4 @@
-Source,Location ID,City,State,Country,Latitude,Longitude,Time Zone,Elevation,Local Time Zone,Clearsky DHI Units,Clearsky DNI Units,Clearsky GHI Units,Dew Point Units,DHI Units,DNI Units,GHI Units,Solar Zenith Angle Units,Temperature Units,Pressure Units,Relative Humidity Units,Precipitable Water Units,Wind Direction Units,Wind Speed,Cloud Type -15,Cloud Type 0,Cloud Type 1,Cloud Type 2,Cloud Type 3,Cloud Type 4,Cloud Type 5,Cloud Type 6,Cloud Type 7,Cloud Type 8,Cloud Type 9,Cloud Type 10,Cloud Type 11,Cloud Type 12,Fill Flag 0,Fill Flag 1,Fill Flag 2,Fill Flag 3,Fill Flag 4,Fill Flag 5,Surface Albedo Units,Version
+Source,Location ID,City,State,Country,Latitude,Longitude,Time Zone,Elevation,Local Time Zone,Clearsky DHI Units,Clearsky DNI Units,Clearsky GHI Units,Dew Point Units,DHI Units,DNI Units,GHI Units,Solar Zenith Angle Units,Temperature Units,Pressure Units,Relative Humidity Units,Precipitable Water Units,Wind Direction Units,Wind Speed Units,Cloud Type -15,Cloud Type 0,Cloud Type 1,Cloud Type 2,Cloud Type 3,Cloud Type 4,Cloud Type 5,Cloud Type 6,Cloud Type 7,Cloud Type 8,Cloud Type 9,Cloud Type 10,Cloud Type 11,Cloud Type 12,Fill Flag 0,Fill Flag 1,Fill Flag 2,Fill Flag 3,Fill Flag 4,Fill Flag 5,Surface Albedo Units,Version
 NSRDB,146288,-,-,-,39.77,-105.22,-7,1879,-7,w/m2,w/m2,w/m2,c,w/m2,w/m2,w/m2,Degree,c,mbar,%,cm,Degrees,m/s,N/A,Clear,Probably Clear,Fog,Water,Super-Cooled Water,Mixed,Opaque Ice,Cirrus,Overlapping,Overshooting,Unknown,Dust,Smoke,N/A,Missing Image,Low Irradiance,Exceeds Clearsky,Missing CLoud Properties,Rayleigh Violation,N/A,3.0.6
 Year,Month,Day,Hour,Minute,GHI,DHI,DNI,Wind Speed,Temperature,Solar Zenith Angle
 2012,1,1,0,30,0,0,0,2,-5,162.39000000000001


Test patch:
diff --git a/tests/analysis/expected_run_all_hybrid_calcs_result.csv b/tests/analysis/expected_run_all_hybrid_calcs_result.csv
index 2977fd64b..ae5f8c8f9 100644
--- a/tests/analysis/expected_run_all_hybrid_calcs_result.csv
+++ b/tests/analysis/expected_run_all_hybrid_calcs_result.csv
@@ -1,3 +1,2 @@
 ,Site Lat,Site Lon,PPA Price,Wind Size(MW),Solar Size(MW),Hybrid Size(MW),Wind AEP (GWh),Solar AEP (GWh),Hybrid AEP (GWh),Wind NPV ($-million),Solar NPV ($-million),Hybrid NPV ($-million),Wind LCOE (real),Solar LCOE (real),Hybrid LCOE (real),Wind Cost / MWh Produced,Solar Cost / MWh Produced,Hybrid Cost / MWh Produced,Solar Beats Wind AEP,Solar Beats Wind NPV,Solar Beats Wind Cost/MWh,Max AEP Index,Max AEP Value,Max NPV Index,Max NPV Value,Cost / MWh Produced reduction (%),LCOE(real) reduction (%),LCOE(real) reduction (%) vs wind,NPV Benefit ($-million) Hybrid Vs. Wind,Wind BOS Cost,Solar BOS Cost,Hybrid BOS Cost,Wind Capacity Factor,Solar Capacity Factor,Interconnect Capacity Factor (Wind Case),Interconnect Capacity Factor (Solar Case),Interconnect Capacity Factor (Hybrid Case),Percentage Curtailment (Wind),Percentage Curtailment (Solar),Percentage Curtailment (Hybrid),Pearson R Wind V Solar,Time Zone (for solar)
-0,35.21,-101.94,0.05,100,100,200,339.09258091770846,175.39611407355667,495.54661241285675,-54.71492553316634,-129.35321929900016,-203.19452525053637,5.610226115963829,10.28985342527864,7.630151586360593,604.6997474703278,1094.665072907374,801.2348144541544,0,0,0,2,495.54661241285675,0,-54.71492553316634,-2.850923777739998,36.00435042447025,36.00435042447025,-148.47959971737004,205049198.05,192000000.0,397049198.05,38.70919873489822,20.022387451319254,38.70919873489823,20.022387451319254,56.56924799233524,0.0,0.0,3.6817296012173504,-0.28440293000259265,-7
-
+0,35.21,-101.94,0.05,100,100,200,339.09258091770846,208.12890305238557,521.3640478431827,-33.85160034542051,-49.82224824559855,-96.63158255708271,5.110476796170568,6.243978502286787,5.805058354374904,604.6997474703278,922.5052224086053,761.5584536228428,0,0,0,2,521.3640478431827,0,-33.85160034542051,-0.1338413216914695,13.591325935083143,13.591325935083143,-62.7799822116622,205049198.05,192000000.0,397049198.05,38.70919873489822,23.759007197760912,38.70919873489823,23.75900719776091,59.516443817714915,0.0,0.0,4.725223128908246,-0.2857692614083311,-7
\ No newline at end of file
diff --git a/tests/analysis/test_run_hopp_calc.py b/tests/analysis/test_run_hopp_calc.py
index e6bf463f0..4d793e78a 100644
--- a/tests/analysis/test_run_hopp_calc.py
+++ b/tests/analysis/test_run_hopp_calc.py
@@ -179,15 +179,15 @@ def test_run_hopp_calc(self):
                                     solar_size_mw, wind_size_mw, nameplate_mw, interconnection_size_mw,
                                     load_resource_from_file, ppa_price, results_dir)
 
-        expected_outputs = {'PV AEP (GWh)': [175.4], 'Wind AEP (GWh)': [339.1],
-                            'AEP (GWh)': [495.55], 'PV Capacity Factor': [20.022],
-                            'Wind Capacity Factor': [38.71], 'Capacity Factor': [29.37],
-                            'Capacity Factor of Interconnect': [56.57],
-                            'Percentage Curtailment': [3.682], 'BOS Cost': [397049198],
-                            'BOS Cost percent reduction': [0], 'Cost / MWh Produced': [801.2],
-                            'NPV ($-million)': [-203.194],
-                            'PPA Price Used': [0.05], 'LCOE - Real': [7.63],
-                            'Pearson R Wind V Solar': [-0.2844]}
+        expected_outputs = {'PV AEP (GWh)': [208.13], 'Wind AEP (GWh)': [339.1],
+                            'AEP (GWh)': [521.36], 'PV Capacity Factor': [23.76],
+                            'Wind Capacity Factor': [38.71], 'Capacity Factor': [31.23],
+                            'Capacity Factor of Interconnect': [59.52],
+                            'Percentage Curtailment': [4.73], 'BOS Cost': [397049198],
+                            'BOS Cost percent reduction': [0], 'Cost / MWh Produced': [761.6],
+                            'NPV ($-million)': [-96.63],
+                            'PPA Price Used': [0.05], 'LCOE - Real': [5.81],
+                            'Pearson R Wind V Solar': [-0.2858]}
 
         for k, v in expected_outputs.items():
             assert(k in all_outputs.keys())
diff --git a/tests/hybrid/test_dispatch.py b/tests/hybrid/test_dispatch.py
index 5679018a1..f86dd2988 100644
--- a/tests/hybrid/test_dispatch.py
+++ b/tests/hybrid/test_dispatch.py
@@ -29,8 +29,8 @@ def site():
                 'battery': {
                     'system_capacity_kwh': 200 * 1000,
                     'system_capacity_kw': 50 * 1000
-                },
-                'grid': 50}
+                }}
+interconnect_mw = 50
 
 
 def test_solar_dispatch(site):
@@ -83,7 +83,7 @@ def create_test_objective_rule(m):
 
 
 def test_wind_dispatch(site):
-    expected_objective = 21011.222
+    expected_objective = 20719.281
 
     dispatch_n_look_ahead = 48
 
@@ -130,7 +130,7 @@ def create_test_objective_rule(m):
 
 
 def test_simple_battery_dispatch(site):
-    expected_objective = 31299.2696
+    expected_objective = 32011.8234
     dispatch_n_look_ahead = 48
 
     battery = Battery(site, technologies['battery'])
@@ -190,7 +190,7 @@ def create_test_objective_rule(m):
 
 
 def test_simple_battery_dispatch_lifecycle_count(site):
-    expected_objective = 26620.7096
+    expected_objective = 27333.2634
     expected_lifecycles = 2.339
 
     dispatch_n_look_ahead = 48
@@ -253,8 +253,8 @@ def create_test_objective_rule(m):
 
 
 def test_detailed_battery_dispatch(site):
-    expected_objective = 35221.192
-    expected_lifecycles = 0.292799
+    expected_objective = 36024.246
+    expected_lifecycles = 0.298335
     # TODO: McCormick error is large enough to make objective 50% higher than
     #  the value of simple battery dispatch objective
 
@@ -320,9 +320,9 @@ def create_test_objective_rule(m):
 
 
 def test_hybrid_dispatch(site):
-    expected_objective = 42073.267
+    expected_objective = 194599.572
 
-    hybrid_plant = HybridSimulation(technologies, site, technologies['grid'] * 1000,
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_mw * 1000,
                                     dispatch_options={'grid_charging': False})
     hybrid_plant.grid.value("federal_tax_rate", (0., ))
     hybrid_plant.grid.value("state_tax_rate", (0., ))
@@ -366,7 +366,7 @@ def test_hybrid_dispatch(site):
 def test_hybrid_dispatch_heuristic(site):
     dispatch_options = {'battery_dispatch': 'heuristic',
                         'grid_charging': False}
-    hybrid_plant = HybridSimulation(technologies, site, technologies['grid'] * 1000,
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_mw * 1000,
                                     dispatch_options=dispatch_options)
     fixed_dispatch = [0.0]*6
     fixed_dispatch.extend([-1.0]*6)
@@ -385,7 +385,7 @@ def test_hybrid_dispatch_one_cycle_heuristic(site):
     dispatch_options = {'battery_dispatch': 'one_cycle_heuristic',
                         'grid_charging': False}
 
-    hybrid_plant = HybridSimulation(technologies, site, technologies['grid'] * 1000,
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_mw * 1000,
                                     dispatch_options=dispatch_options)
     hybrid_plant.simulate(1)
 
@@ -393,10 +393,10 @@ def test_hybrid_dispatch_one_cycle_heuristic(site):
     
 
 def test_hybrid_solar_battery_dispatch(site):
-    expected_objective = 37394.8194  # 35733.817341
+    expected_objective = 36057.573
 
-    solar_battery_technologies = {k: technologies[k] for k in ('pv', 'battery', 'grid')}
-    hybrid_plant = HybridSimulation(solar_battery_technologies, site, technologies['grid'] * 1000,
+    solar_battery_technologies = {k: technologies[k] for k in ('pv', 'battery')}
+    hybrid_plant = HybridSimulation(solar_battery_technologies, site, interconnect_mw * 1000,
                                     dispatch_options={'grid_charging': False})
     hybrid_plant.grid.value("federal_tax_rate", (0., ))
     hybrid_plant.grid.value("state_tax_rate", (0., ))
@@ -444,7 +444,7 @@ def test_hybrid_solar_battery_dispatch(site):
 
 
 def test_hybrid_dispatch_financials(site):
-    hybrid_plant = HybridSimulation(technologies, site, technologies['grid'] * 1000,
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_mw * 1000,
                                     dispatch_options={'grid_charging': True})
     hybrid_plant.simulate(1)
 
diff --git a/tests/hybrid/test_hybrid.py b/tests/hybrid/test_hybrid.py
index f812520fd..c3df4f183 100644
--- a/tests/hybrid/test_hybrid.py
+++ b/tests/hybrid/test_hybrid.py
@@ -1,18 +1,21 @@
-import pytest
+from pytest import approx, fixture
 
 from hybrid.sites import SiteInfo, flatirons_site
 from hybrid.layout.hybrid_layout import WindBoundaryGridParameters, PVGridParameters
 from hybrid.hybrid_simulation import HybridSimulation
 
 
-@pytest.fixture
+@fixture
 def site():
     return SiteInfo(flatirons_site)
 
 
 interconnection_size_kw = 15000
+pv_kw = 5000
+wind_kw = 10000
+batt_kw = 5000
 technologies = {'pv': {
-                    'system_capacity_kw': 5000,
+                    'system_capacity_kw': pv_kw,
                     'layout_params': PVGridParameters(x_position=0.5,
                                                       y_position=0.5,
                                                       aspect_power=0,
@@ -22,7 +25,7 @@ def site():
                 },
                 'wind': {
                     'num_turbines': 5,
-                    'turbine_rating_kw': 2000,
+                    'turbine_rating_kw': wind_kw / 5,
                     'layout_mode': 'boundarygrid',
                     'layout_params': WindBoundaryGridParameters(border_spacing=2,
                                                                 border_offset=0.5,
@@ -31,14 +34,13 @@ def site():
                                                                 row_phase_offset=0.5)
                 },
                 'battery': {
-                    'system_capacity_kwh': 20 * 1000,
-                    'system_capacity_kw': 5 * 1000
-                },
-                'grid': 15000}
+                    'system_capacity_kwh': batt_kw * 4,
+                    'system_capacity_kw': 5000
+                }}
 
 
 def test_hybrid_wind_only(site):
-    wind_only = {key: technologies[key] for key in ('wind', 'grid')}
+    wind_only = {'wind': technologies['wind']}
     hybrid_plant = HybridSimulation(wind_only, site, interconnect_kw=interconnection_size_kw)
     hybrid_plant.layout.plot()
     hybrid_plant.ppa_price = (0.01, )
@@ -47,16 +49,16 @@ def test_hybrid_wind_only(site):
     npvs = hybrid_plant.net_present_values
 
     assert aeps.pv == 0
-    assert aeps.wind == pytest.approx(33615479, 1e3)
-    assert aeps.hybrid == pytest.approx(33615479, 1e3)
+    assert aeps.wind == approx(33615479, 1e3)
+    assert aeps.hybrid == approx(33615479, 1e3)
 
     assert npvs.pv == 0
-    assert npvs.wind == pytest.approx(-13692784, 1e3)
-    assert npvs.hybrid == pytest.approx(-13692784, 1e3)
+    assert npvs.wind == approx(-13692784, 1e3)
+    assert npvs.hybrid == approx(-13692784, 1e3)
 
 
 def test_hybrid_pv_only(site):
-    solar_only = {key: technologies[key] for key in ('pv', 'grid')}
+    solar_only = {'pv': technologies['pv']}
     hybrid_plant = HybridSimulation(solar_only, site, interconnect_kw=interconnection_size_kw)
     hybrid_plant.layout.plot()
     hybrid_plant.ppa_price = (0.01, )
@@ -65,20 +67,20 @@ def test_hybrid_pv_only(site):
     aeps = hybrid_plant.annual_energies
     npvs = hybrid_plant.net_present_values
 
-    assert aeps.pv == pytest.approx(8703525.94, 1e-3)
+    assert aeps.pv == approx(9884106.55, 1e-3)
     assert aeps.wind == 0
-    assert aeps.hybrid == pytest.approx(8703525.94, 1e-3)
+    assert aeps.hybrid == approx(9884106.55, 1e-3)
 
-    assert npvs.pv == pytest.approx(-5121293, 1e3)
+    assert npvs.pv == approx(-5121293, 1e3)
     assert npvs.wind == 0
-    assert npvs.hybrid == pytest.approx(-5121293, 1e3)
+    assert npvs.hybrid == approx(-5121293, 1e3)
 
 
 def test_hybrid(site):
     """
     Performance from Wind is slightly different from wind-only case because the solar presence modified the wind layout
     """
-    solar_wind_hybrid = {key: technologies[key] for key in ('pv', 'wind', 'grid')}
+    solar_wind_hybrid = {key: technologies[key] for key in ('pv', 'wind')}
     hybrid_plant = HybridSimulation(solar_wind_hybrid, site, interconnect_kw=interconnection_size_kw)
     hybrid_plant.layout.plot()
     hybrid_plant.ppa_price = (0.01, )
@@ -88,13 +90,13 @@ def test_hybrid(site):
     aeps = hybrid_plant.annual_energies
     npvs = hybrid_plant.net_present_values
 
-    assert aeps.pv == pytest.approx(8703525.94, 13)
-    assert aeps.wind == pytest.approx(33615479.57, 1e3)
-    assert aeps.hybrid == pytest.approx(41681662.63, 1e3)
+    assert aeps.pv == approx(8703525.94, 13)
+    assert aeps.wind == approx(33615479.57, 1e3)
+    assert aeps.hybrid == approx(41681662.63, 1e3)
 
-    assert npvs.pv == pytest.approx(-5121293, 1e3)
-    assert npvs.wind == pytest.approx(-13909363, 1e3)
-    assert npvs.hybrid == pytest.approx(-19216589, 1e3)
+    assert npvs.pv == approx(-5121293, 1e3)
+    assert npvs.wind == approx(-13909363, 1e3)
+    assert npvs.hybrid == approx(-19216589, 1e3)
 
 
 def test_hybrid_with_storage_dispatch(site):
@@ -104,61 +106,180 @@ def test_hybrid_with_storage_dispatch(site):
     hybrid_plant.simulate()
     aeps = hybrid_plant.annual_energies
 
-    assert aeps.pv == pytest.approx(8703525, 1e3)
-    assert aeps.wind == pytest.approx(32978136, 1e3)
-    assert aeps.battery == pytest.approx(-218034, 1e3)
-    assert aeps.hybrid == pytest.approx(41463627, 1e3)
+    assert aeps.pv == approx(9883471, 1e-3)
+    assert aeps.wind == approx(33637983, 1e-3)
+    assert aeps.battery == approx(-131771, 1e-3)
+    assert aeps.hybrid == approx(43389683, 1e-3)
 
     npvs = hybrid_plant.net_present_values
-    assert npvs.pv == pytest.approx(-3557479, 1e3)
-    assert npvs.wind == pytest.approx(-7736427, 1e3)
-    assert npvs.battery == pytest.approx(-21635232, 1e3)
-    assert npvs.hybrid == pytest.approx(-11841323, 1e3)
+    assert npvs.pv == approx(-1293490, 1e-3)
+    assert npvs.wind == approx(-3967472, 1e-3)
+    assert npvs.battery == approx(-11836115, 1e-3)
+    assert npvs.hybrid == approx(-17136650, 1e-3)
 
     taxes = hybrid_plant.federal_taxes
-    assert taxes.pv[0] == pytest.approx(135272, 1e3)
-    assert taxes.wind[0] == pytest.approx(466684, 1e3)
-    assert taxes.battery[0] == pytest.approx(462521, 1e3)
-    assert taxes.hybrid[0] == pytest.approx(1099808, 1e3)
+    assert taxes.pv[1] == approx(105716, 1e-3)
+    assert taxes.wind[1] == approx(402703, 1e-3)
+    assert taxes.battery[1] == approx(512012, 1e-3)
+    assert taxes.hybrid[1] == approx(1022906, 1e-3)
 
     apv = hybrid_plant.energy_purchases_values
-    assert apv.pv[0] == pytest.approx(0, 1e3)
-    assert apv.wind[0] == pytest.approx(0, 1e3)
-    assert apv.battery[0] == pytest.approx(-126309, 1e3)
-    assert apv.hybrid[0] == pytest.approx(-5179, 1e3)
+    assert apv.pv[1] == approx(0, 1e-3)
+    assert apv.wind[1] == approx(0, 1e-3)
+    assert apv.battery[1] == approx(158296, 1e-3)
+    assert apv.hybrid[1] == approx(38438, 1e-2)
 
     debt = hybrid_plant.debt_payment
-    assert debt.pv[0] == pytest.approx(11885, 1e3)
-    assert debt.wind[0] == pytest.approx(186471, 1e3)
-    assert debt.battery[0] == pytest.approx(-668557, 1e3)
-    assert debt.hybrid[0] == pytest.approx(-12972, 1e3)
+    assert debt.pv[1] == approx(0, 1e-3)
+    assert debt.wind[1] == approx(0, 1e-3)
+    assert debt.battery[1] == approx(0, 1e-3)
+    assert debt.hybrid[1] == approx(0, 1e-3)
 
     esv = hybrid_plant.energy_sales_values
-    assert esv.pv[0] == pytest.approx(261105, 1e3)
-    assert esv.wind[0] == pytest.approx(1008464, 1e3)
-    assert esv.battery[0] == pytest.approx(133962, 1e3)
-    assert esv.hybrid[0] == pytest.approx(1271772, 1e3)
+    assert esv.pv[1] == approx(296504, 1e3)
+    assert esv.wind[1] == approx(1009139, 1e3)
+    assert esv.battery[1] == approx(167015, 1e3)
+    assert esv.hybrid[1] == approx(1340129, 1e3)
 
     depr = hybrid_plant.federal_depreciation_totals
-    assert depr.pv[0] == pytest.approx(844046, 1e3)
-    assert depr.wind[0] == pytest.approx(2802848, 1e3)
-    assert depr.battery[0] == pytest.approx(2568901, 1e3)
-    assert depr.hybrid[0] == pytest.approx(6225508, 1e3)
+    assert depr.pv[1] == approx(762811, 1e3)
+    assert depr.wind[1] == approx(2651114, 1e3)
+    assert depr.battery[1] == approx(2555389, 1e3)
+    assert depr.hybrid[1] == approx(5969315, 1e3)
 
     insr = hybrid_plant.insurance_expenses
-    assert insr.pv[0] == pytest.approx(23997, 1e3)
-    assert insr.wind[0] == pytest.approx(72700, 1e3)
-    assert insr.battery[0] == pytest.approx(70075, 1e3)
-    assert insr.hybrid[0] == pytest.approx(166772, 1e3)
+    assert insr.pv[0] == approx(0, 1e3)
+    assert insr.wind[0] == approx(0, 1e3)
+    assert insr.battery[0] == approx(0, 1e3)
+    assert insr.hybrid[0] == approx(0, 1e3)
 
-    om = hybrid_plant.om_expenses
-    assert om.pv[0] == pytest.approx(84992, 1e3)
-    assert om.wind[0] == pytest.approx(420000, 1e3)
-    assert om.battery[0] == pytest.approx(260000, 1e3)
-    assert om.hybrid[0] == pytest.approx(569992, 1e3)
+    om = hybrid_plant.om_total_expenses
+    assert om.pv[1] == approx(74993, 1e3)
+    assert om.wind[1] == approx(420000, 1e3)
+    assert om.battery[1] == approx(75000, 1e3)
+    assert om.hybrid[1] == approx(569993, 1e3)
 
     rev = hybrid_plant.total_revenues
-    assert rev.pv[0] == pytest.approx(261105, 1e3)
-    assert rev.wind[0] == pytest.approx(1008464, 1e3)
-    assert rev.battery[0] == pytest.approx(7653, 1e3)
-    assert rev.hybrid[0] == pytest.approx(1266592, 1e3)
\ No newline at end of file
+    assert rev.pv[1] == approx(296504, 1e3)
+    assert rev.wind[1] == approx(1009139, 1e3)
+    assert rev.battery[1] == approx(167015, 1e3)
+    assert rev.hybrid[1] == approx(1340129, 1e3)
+
+    tc = hybrid_plant.tax_incentives
+    assert tc.pv[1] == approx(1123104, 1e3)
+    assert tc.wind[1] == approx(504569, 1e3)
+    assert tc.battery[1] == approx(0, 1e3)
+    assert tc.hybrid[1] == approx(1659156, 1e3)
+
+
+def test_hybrid_om_costs_error(site):
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_kw=interconnection_size_kw,
+                                    dispatch_options={'battery_dispatch': 'one_cycle_heuristic'})
+    hybrid_plant.ppa_price = (0.03, )
+    hybrid_plant.pv.dc_degradation = [0] * 25
+    hybrid_plant.battery._financial_model.SystemCosts.om_production = (1,)
+    try:
+        hybrid_plant.simulate()
+    except ValueError as e:
+        assert e
+
+
+def test_hybrid_om_costs(site):
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_kw=interconnection_size_kw,
+                                    dispatch_options={'battery_dispatch': 'one_cycle_heuristic'})
+    hybrid_plant.ppa_price = (0.03, )
+    hybrid_plant.pv.dc_degradation = [0] * 25
+
+    # set all O&M costs to 0 to start
+    hybrid_plant.wind.om_fixed = 0
+    hybrid_plant.wind.om_capacity = 0
+    hybrid_plant.wind.om_variable = 0
+    hybrid_plant.pv.om_fixed = 0
+    hybrid_plant.pv.om_capacity = 0
+    hybrid_plant.pv.om_variable = 0
+    hybrid_plant.battery.om_fixed = 0
+    hybrid_plant.battery.om_capacity = 0
+    hybrid_plant.battery.om_variable = 0
+
+    # test variable costs
+    hybrid_plant.wind.om_variable = 5
+    hybrid_plant.pv.om_variable = 2
+    hybrid_plant.battery.om_variable = 3
+    hybrid_plant.simulate()
+    var_om_costs = hybrid_plant.om_variable_expenses
+    total_om_costs = hybrid_plant.om_total_expenses
+    for i in range(len(var_om_costs.hybrid)):
+        assert var_om_costs.pv[i] + var_om_costs.wind[i] + var_om_costs.battery[i] \
+               == approx(var_om_costs.hybrid[i], rel=1e-3)
+        assert total_om_costs.pv[i] == approx(var_om_costs.pv[i])
+        assert total_om_costs.wind[i] == approx(var_om_costs.wind[i])
+        assert total_om_costs.battery[i] == approx(var_om_costs.battery[i])
+        assert total_om_costs.hybrid[i] == approx(var_om_costs.hybrid[i])
+    hybrid_plant.wind.om_variable = 0
+    hybrid_plant.pv.om_variable = 0
+    hybrid_plant.battery.om_variable = 0
+
+    # test fixed costs
+    hybrid_plant.wind.om_fixed = 5
+    hybrid_plant.pv.om_fixed = 2
+    hybrid_plant.battery.om_fixed = 3
+    hybrid_plant.simulate()
+    fixed_om_costs = hybrid_plant.om_fixed_expenses
+    total_om_costs = hybrid_plant.om_total_expenses
+    for i in range(len(fixed_om_costs.hybrid)):
+        assert fixed_om_costs.pv[i] + fixed_om_costs.wind[i] + fixed_om_costs.battery[i] \
+               == approx(fixed_om_costs.hybrid[i])
+        assert total_om_costs.pv[i] == approx(fixed_om_costs.pv[i])
+        assert total_om_costs.wind[i] == approx(fixed_om_costs.wind[i])
+        assert total_om_costs.battery[i] == approx(fixed_om_costs.battery[i])
+        assert total_om_costs.hybrid[i] == approx(fixed_om_costs.hybrid[i])
+    hybrid_plant.wind.om_fixed = 0
+    hybrid_plant.pv.om_fixed = 0
+    hybrid_plant.battery.om_fixed = 0
+
+    # test capacity costs
+    hybrid_plant.wind.om_capacity = 5
+    hybrid_plant.pv.om_capacity = 2
+    hybrid_plant.battery.om_capacity = 3
+    hybrid_plant.simulate()
+    cap_om_costs = hybrid_plant.om_capacity_expenses
+    total_om_costs = hybrid_plant.om_total_expenses
+    for i in range(len(cap_om_costs.hybrid)):
+        assert cap_om_costs.pv[i] + cap_om_costs.wind[i] + cap_om_costs.battery[i] \
+               == approx(cap_om_costs.hybrid[i])
+        assert total_om_costs.pv[i] == approx(cap_om_costs.pv[i])
+        assert total_om_costs.wind[i] == approx(cap_om_costs.wind[i])
+        assert total_om_costs.battery[i] == approx(cap_om_costs.battery[i])
+        assert total_om_costs.hybrid[i] == approx(cap_om_costs.hybrid[i])
+    hybrid_plant.wind.om_capacity = 0
+    hybrid_plant.pv.om_capacity = 0
+    hybrid_plant.battery.om_capacity = 0
+
+
+def test_hybrid_tax_incentives(site):
+    hybrid_plant = HybridSimulation(technologies, site, interconnect_kw=interconnection_size_kw,
+                                    dispatch_options={'battery_dispatch': 'one_cycle_heuristic'})
+    hybrid_plant.ppa_price = (0.03, )
+    hybrid_plant.pv.dc_degradation = [0] * 25
+    hybrid_plant.wind._financial_model.TaxCreditIncentives.ptc_fed_amount = (1,)
+    hybrid_plant.pv._financial_model.TaxCreditIncentives.ptc_fed_amount = (2,)
+    hybrid_plant.battery._financial_model.TaxCreditIncentives.ptc_fed_amount = (3,)
+    hybrid_plant.wind._financial_model.TaxCreditIncentives.ptc_fed_escal = 0
+    hybrid_plant.pv._financial_model.TaxCreditIncentives.ptc_fed_escal = 0
+    hybrid_plant.battery._financial_model.TaxCreditIncentives.ptc_fed_escal = 0
+    hybrid_plant.simulate()
+
+    ptc_wind = hybrid_plant.wind._financial_model.value("cf_ptc_fed")[1]
+    assert ptc_wind == hybrid_plant.wind._financial_model.value("ptc_fed_amount")[0]*hybrid_plant.wind.annual_energy_kw
+
+    ptc_pv = hybrid_plant.pv._financial_model.value("cf_ptc_fed")[1]
+    assert ptc_pv == hybrid_plant.pv._financial_model.value("ptc_fed_amount")[0]*hybrid_plant.pv.annual_energy_kw
+
+    ptc_batt = hybrid_plant.battery._financial_model.value("cf_ptc_fed")[1]
+    assert ptc_batt == hybrid_plant.battery._financial_model.value("ptc_fed_amount")[0]\
+           * hybrid_plant.battery._financial_model.LCOS.batt_annual_discharge_energy[1]
+
+    ptc_hybrid = hybrid_plant.grid._financial_model.value("cf_ptc_fed")[1]
+    ptc_fed_amount = hybrid_plant.grid._financial_model.value("ptc_fed_amount")[0]
+    assert ptc_fed_amount == approx(1.22941)
+    assert ptc_hybrid == approx(ptc_fed_amount * hybrid_plant.grid._financial_model.Outputs.cf_energy_net[1], rel=1e-3)
diff --git a/tests/hybrid/test_reopt.py b/tests/hybrid/test_reopt.py
index d0c54da29..00e7c6f6e 100644
--- a/tests/hybrid/test_reopt.py
+++ b/tests/hybrid/test_reopt.py
@@ -46,7 +46,7 @@ def test_ReOPT():
 
     reopt_site = reopt.post['Scenario']['Site']
     pv = reopt_site['PV']
-    assert(pv['dc_ac_ratio'] == pytest.approx(1.2, 0.01))
+    assert(pv['dc_ac_ratio'] == pytest.approx(1.3, 0.01))
     wind = reopt_site['Wind']
     assert(wind['pbi_us_dollars_per_kwh'] == pytest.approx(0.015))
 
diff --git a/tests/hybrid/test_resource_download.py b/tests/hybrid/test_resource_download.py
index 2b900392d..7ee80b049 100644
--- a/tests/hybrid/test_resource_download.py
+++ b/tests/hybrid/test_resource_download.py
@@ -7,7 +7,7 @@
 from hybrid.keys import set_nrel_key_dot_env
 
 import PySAM.Windpower as wp
-import PySAM.Pvwattsv7 as pv
+import PySAM.Pvwattsv8 as pv
 
 
 set_nrel_key_dot_env()
@@ -37,11 +37,11 @@ def test_solar(solar_resource):
     model = pv.default("PVWattsNone")
     model.SolarResource.solar_resource_file = solar_resource.filename
     model.execute(0)
-    assert(model.Outputs.annual_energy == approx(5700, 0.1))
+    assert(model.Outputs.annual_energy == approx(9275, 0.1))
     model = pv.default("PVWattsNone")
     model.SolarResource.solar_resource_data = solar_resource.data
     model.execute(1)
-    assert(model.Outputs.annual_energy == approx(5700, 0.1))
+    assert(model.Outputs.annual_energy == approx(9275, 0.1))
 
 
 def test_nsrdb(solar_resource):