# The REoptInputs structure

The REoptInputs structure uses the Scenario to build all of the data necessary to construct the JuMP mathematical model.

## REoptInputs

`REopt.REoptInputs`

— Type`REoptInputs`

The data structure for all the inputs necessary to construct the JuMP model.

```
struct REoptInputs <: AbstractInputs
s::ScenarioType
techs::Techs
min_sizes::Dict{String, <:Real} # (techs)
max_sizes::Dict{String, <:Real} # (techs)
existing_sizes::Dict{String, <:Real} # (techs)
cap_cost_slope::Dict{String, Any} # (techs)
om_cost_per_kw::Dict{String, <:Real} # (techs)
cop::Dict{String, <:Real} # (techs.cooling)
thermal_cop::Dict{String, <:Real} # (techs.absorption_chiller)
time_steps::UnitRange
time_steps_with_grid::Array{Int, 1}
time_steps_without_grid::Array{Int, 1}
hours_per_time_step::Real
months::UnitRange
production_factor::DenseAxisArray{<:Real, 2} # (techs, time_steps)
levelization_factor::Dict{String, <:Real,} # (techs)
value_of_lost_load_per_kwh::Array{<:Real, 1}
pwf_e::Real
pwf_om::Real
pwf_fuel::Dict{String, <:Real}
pwf_emissions_cost::Dict{String, Float64} # Cost of emissions present worth factors for grid and onsite fuelburn emissions [unitless]
pwf_grid_emissions::Dict{String, Float64} # Emissions [lbs] present worth factors for grid emissions [unitless]
pwf_offtaker::Real
pwf_owner::Real
third_party_factor::Real
pvlocations::Array{Symbol, 1}
maxsize_pv_locations::DenseAxisArray{<:Real, 1} # indexed on pvlocations
pv_to_location::Dict{String, Dict{Symbol, Int64}} # (techs.pv, pvlocations)
ratchets::UnitRange
techs_by_exportbin::Dict{Symbol, AbstractArray} # keys can include [:NEM, :WHL, :CUR]
export_bins_by_tech::Dict
n_segs_by_tech::Dict{String, Int}
seg_min_size::Dict{String, Dict{Int, <:Real}}
seg_max_size::Dict{String, Dict{Int, <:Real}}
seg_yint::Dict{String, Dict{Int, <:Real}}
pbi_pwf::Dict{String, Any} # (pbi_techs)
pbi_max_benefit::Dict{String, Any} # (pbi_techs)
pbi_max_kw::Dict{String, Any} # (pbi_techs)
pbi_benefit_per_kwh::Dict{String, Any} # (pbi_techs)
boiler_efficiency::Dict{String, <:Real}
fuel_cost_per_kwh::Dict{String, AbstractArray} # Fuel cost array for all time_steps
ghp_options::UnitRange{Int64} # Range of the number of GHP options
require_ghp_purchase::Int64 # 0/1 binary if GHP purchase is forced/required
ghp_heating_thermal_load_served_kw::Array{Float64,2} # Array of heating load (thermal!) profiles served by GHP
ghp_cooling_thermal_load_served_kw::Array{Float64,2} # Array of cooling load profiles served by GHP
space_heating_thermal_load_reduction_with_ghp_kw::Array{Float64,2} # Array of heating load reduction (thermal!) profile from GHP retrofit
cooling_thermal_load_reduction_with_ghp_kw::Array{Float64,2} # Array of cooling load reduction (thermal!) profile from GHP retrofit
ghp_electric_consumption_kw::Array{Float64,2} # Array of electric load profiles consumed by GHP
ghp_installed_cost::Array{Float64,1} # Array of installed cost for GHP options
ghp_om_cost_year_one::Array{Float64,1} # Array of O&M cost for GHP options
tech_renewable_energy_fraction::Dict{String, <:Real} # (techs)
tech_emissions_factors_CO2::Dict{String, <:Real} # (techs)
tech_emissions_factors_NOx::Dict{String, <:Real} # (techs)
tech_emissions_factors_SO2::Dict{String, <:Real} # (techs)
tech_emissions_factors_PM25::Dict{String, <:Real} # (techs)
techs_operating_reserve_req_fraction::Dict{String, <:Real} # (techs.all)
end
```

`REopt.REoptInputs`

— Method`REoptInputs(fp::String)`

Use `fp`

to load in JSON scenario:

```
function REoptInputs(fp::String)
s = Scenario(JSON.parsefile(fp))
REoptInputs(s)
end
```

Useful if you want to manually modify REoptInputs before solving the model.

`REopt.REoptInputs`

— Method`REoptInputs(s::AbstractScenario)`

Constructor for REoptInputs. Translates the `Scenario`

into all the data necessary for building the JuMP model.

## Design Concepts for REoptInputs

At a high level the REoptInputs constructor does the following tasks:

- build index sets for the JuMP model decision variables,
- create maps from one set to another set,
- and generate coefficient arrays necessary for model constraints.

#### Index Sets

There are a few `String[]`

that are built by REoptInputs that are then used as index sets in the model constraints. The primary index set is the `techs.all`

array of strings, which contains all the technolgy names that are being modeled. With the `techs.all`

array we can easily apply a constraint over all technolgies. For example:

```
@constraint(m, [t in p.techs.all],
m[Symbol("dvSize"*_n)][t] <= p.max_sizes[t]
)
```

where `p`

is the `REoptInputs`

struct. There are a couple things to note from this last example:

- The decision variable
`dvSize`

is accessed in the JuMP.Model`m`

using the`Symbol`

notation so that this constraint can be used in the multi-node case in addition to the single node case. The`_n`

input value is an empty string by default and in the case of a multi-node model the`_n`

string will be set by the`Site.node`

integer. For example, if`Site.node`

is`3`

then`_n`

is "_3". - The
`p.max_sizes`

array is also indexed on`p.techs.all`

. The`max_sizes`

is built in the REoptInputs constructor by using all the technologies in the`Scenario`

that have`max_kw`

values greater than zero.

Besides the `techs.all`

array the are many sub-sets, such as `techs.pv`

, `techs.gen`

, `techs.elec`

, `p.techs.segmented`

, `techs.no_curtail`

, that allow us to apply constraints to those sets. For example:

```
for t in p.techs.no_curtail
for ts in p.time_steps
fix(m[Symbol("dvCurtail"*_n)][t, ts] , 0.0, force=true)
end
end
```

#### Set maps

The set maps are best explained with an example. The `techs_by_exportbin`

map uses each technology'sattributes (eg. `PV`

) to map each technology to which export bins that technology can access. The export bins include:

`:NEM`

(Net Energy Metering)`:WHL`

(Wholesale)`:EXC`

(Excess, beyond NEM))

The bins that a technology can access are determined by the technologies attributes `can_net_meter`

, `can_wholesale`

, and `can_export_beyond_nem_limit`

. So if `PV.can_net_meter = true`

, `Wind.can_net_meter = true`

and all the other attributes are `false`

then the `techs_by_exportbin`

will only have one non-empty key:

```
techs_by_exportbin = Dict(
:NEM => ["PV", "Wind"],
:WHL => [],
:EXC => []
)
```

A use-case example for the `techs_by_exportbin`

map is defining the net metering benefit:

```
NEM_benefit = @expression(m, p.pwf_e * p.hours_per_time_step *
sum( sum(p.s.electric_tariff.export_rates[:NEM][ts] * m[Symbol("dvProductionToGrid"*_n)][t, :NEM, ts]
for t in p.techs_by_exportbin[:NEM]) for ts in p.time_steps)
)
```

Other set maps include: `export_bins_by_tech`

and `n_segs_by_tech`

. The latter tells how many cost curve segments each technology has.

#### Coefficient Arrays

The JuMP model costs are formulated in net present value terms, accounting for all benefits (production, capacity, and investment incentives) and the total cost over the `analysis_period`

. The `REoptInputs`

constructor translates the raw input parameters, such as the operations and maintenance costs, into present value terms using the provided discount rate. For example, the `pwf_e`

is the present worth factor for electricity that accounts for the `elec_cost_escalation_rate_fraction`

, the `analysis_period`

, and the `offtaker_discount_rate_fraction`

. Note that tax benefits are applied directly in the JuMP model for clarity on which costs are tax-deductible and which are not.

Besides econimic parameters, the `REoptInputs`

constructor also puts together the important `production_factor`

array. The `production_factor`

array is simple for continuously variable generators (such as the `Generator`

), for which the `production_factor`

is 1 in all time steps. However, for variable generators (such as `Wind`

and `PV`

) the `production_factor`

varies by time step. If the user does not provide the `PV`

production factor, for example, then the `REoptInputs`

constructor uses the PVWatts API to download the location specific `PV`

production factor. `REoptInputs`

also accounts for the `PV.degradation_fraction`

in building the `production_factor`

array.