Modifications for ssc updates

Author: jannamartinek

app/project.cpp

@@ -197,7 +197,7 @@ void parameters::initialize()
     startup_frac.set(                      0.5,                 "startup_frac",      false,                       "Power block startup energy",     "MWh/MWh",             "Simulation|Parameters" );
     v_wind_max.set(                        15.,                   "v_wind_max",      false,                    "Max operational wind velocity",         "m/s",             "Simulation|Parameters" );
     flux_max.set(                        1000.,                     "flux_max",      false,                            "Maximum receiver flux",       "kW/m2",             "Simulation|Parameters" );
-    fc_gamma.set(							0.,                      "fc_gamma",     false,                      "Forecast TES hedging factor",           "-",             "Simulation|Parameters" );
+    disp_inventory_incentive.set(			0.,     "disp_inventory_incentive",     false,                      "Forecast TES hedging factor",           "-",              "Simulation|Parameters" );
     dispatch_factors_ts.set(            pvalts,          "dispatch_factors_ts",      false,                       "TOD price multiplier array",           "-",             "Simulation|Parameters" );
     std::vector< double > bigv(8760, std::numeric_limits<double>::infinity());
     wlim_series.set(                      bigv,                  "wlim_series",      false,              "Maximum power output from the cycle",         "kWe",             "Simulation|Parameters" );
@@ -311,7 +311,7 @@ void parameters::initialize()
     (*this)["startup_frac"] = &startup_frac;
     (*this)["v_wind_max"] = &v_wind_max;
     (*this)["flux_max"] = &flux_max;
-    (*this)["fc_gamma"] = &fc_gamma;
+    (*this)["disp_inventory_incentive"] = &disp_inventory_incentive;
     (*this)["dispatch_factors_ts"] = &dispatch_factors_ts;
     (*this)["wlim_series"] = &wlim_series;
     (*this)["maintenance_interval"] = &maintenance_interval;

app/project.h

@@ -578,7 +578,7 @@ struct parameters : public hash_base
 	parameter no_restart_efficiency;
 	parameter cycle_hourly_labor_cost;
 	parameter avail_model_timestep;
-    parameter fc_gamma;
+    parameter disp_inventory_incentive;
 	parameter convergence_tol_obj;
 	parameter convergence_tol_step;
     //vector-doubles

app/project_init.cpp

@@ -444,7 +444,9 @@ void Project::initialize_ssc_project()
 	ssc_data_set_number(m_ssc_data, "equip_reserve_depr_fed", 0 );
 	ssc_data_set_number(m_ssc_data, "salvage_percentage", 0 );
 	ssc_data_set_number(m_ssc_data, "ppa_soln_mode", 0 );
-	ssc_data_set_number(m_ssc_data, "ppa_price_input", 0.12999999523162842 );
+	//ssc_data_set_number(m_ssc_data, "ppa_price_input", 0.12999999523162842 );
+	ssc_number_t ppa_price_input[1] = { 0.12999999523162842 };
+	ssc_data_set_array(m_ssc_data, "ppa_price_input", ppa_price_input, 1);  
 	ssc_data_set_number(m_ssc_data, "ppa_escalation", 1 );
 	ssc_data_set_number(m_ssc_data, "construction_financing_cost", 35211724 );
 	ssc_data_set_number(m_ssc_data, "term_tenor", 18 );
@@ -534,4 +536,11 @@ void Project::initialize_ssc_project()
 	ssc_data_set_number(m_ssc_data, "const_per_upfront_rate4", 0. );
 	ssc_data_set_number(m_ssc_data, "const_per_upfront_rate5", 0. );
 
+	ssc_data_set_number(m_ssc_data, "cp_capacity_payment_esc", 0);
+	ssc_data_set_number(m_ssc_data, "cp_capacity_payment_type", 0);
+	ssc_number_t cap[1] = { 0 };
+	ssc_data_set_array(m_ssc_data, "cp_capacity_payment_amount", cap, 1);
+	ssc_data_set_array(m_ssc_data, "cp_capacity_credit_percent", cap, 1);
+	ssc_data_set_number(m_ssc_data, "cp_system_nameplate", 0);
+	ssc_data_set_number(m_ssc_data, "cp_battery_nameplate", 0);
 }

app/vardocument.cpp

@@ -156,7 +156,7 @@ void Project::add_documentation()
         "Time series vector of length equal to the number of time steps in the simulation horizon that "
         "specifies the solar field power output loss as a function of time."
     );
-    m_parameters.fc_gamma.doc.set("-", 
+    m_parameters.disp_inventory_incentive.doc.set("-", 
         "Weighting factor for hedging thermal storage inventory against forecast uncertainty. "
         "The dispatch optimization objective function is formulated such that:<br>"
         "max Z = (1-gamma) * (Revenue days 1 and 2) + gamma * (TES charge end day 1)"