> ## Documentation Index > Fetch the complete documentation index at: https://docs.transitionzero.org/llms.txt > Use this file to discover all available pages before exploring further. # Input Types > A directory of Scenario Builder’s input types Scenario Builder models are defined by the following input types, all of which can be edited [in the workspace](https://docs.transitionzero.org/platform/editing-scenarios), or via [AMP](https://docs.transitionzero.org/platform/amp-ai-assistant). ## Capacity Framework: osemosys{" "}Unit: MW{" "}Temporality: year\_only Maximum allowed increase in capacity for a given technology year on year. Expressed in absolute values. If used in conjunction with maximum relative growth rates, capacity will be limited to whichever value is greater. Provides a floor value for maximum growth rates for technologies with no / low installed capacity. Framework: osemosys{" "}Framework: pypsa{" "}Unit: MW{" "}Temporality: year\_only Existing and planned generator and interconnector capacity. Generator capacities are specified per geography. Interconnector capacities are specified between geographies. Framework: osemosys{" "}Framework: pypsa{" "}Unit: MW{" "}Temporality: year\_only Maximum additional capacity allowed per technology above the installed capacity for that technology for that year. This can be used to limit additional capacity being built e.g. if set to 0, then no additional capacity will be built. Framework: osemosys{" "}Framework: pypsa{" "}Unit: MW{" "}Temporality: year\_only Maximum total capacity allowed per technology. This can be used to limit total capacity per technology. Framework: osemosys{" "}Framework: pypsa{" "}Unit: MW{" "}Temporality: year\_only Minimum additional capacity required per technology above the installed capacity for that technology for that year. This can be used to set capacity targets that are in addition to the installed capacity. Framework: osemosys{" "}Framework: pypsa{" "}Unit: MW{" "}Temporality: year\_only Minimum total capacity required per technology. This can be used to set total capacity targets. Framework: osemosys{" "}Unit: unitless{" "}Temporality: year\_only Maximum allowed increase in capacity for a given technology year on year. Expressed as a decimal e.g. 0.2 for 20%. If used in conjunction with maximum absolute growth rates, capacity will be limited to whichever value is greater. Framework: osemosys{" "}Unit: unitless{" "}Temporality: year\_only Minimum increase in capacity required per technology year on year. Expressed as a decimal e.g. 0.2 for 20%. Framework: osemosys{" "}Framework: pypsa{" "}Unit: MW{" "}Temporality: constant Total maximum capacity allowed for renewable technologies per year. ## Costs Framework: osemosys{" "}Framework: pypsa{" "}Unit: \$/MW{" "}Temporality: year\_only Fixed operating & maintenance costs per technology. Framework: osemosys{" "}Framework: pypsa{" "}Unit: \$/MWh{" "}Temporality: year\_only Cost per fuel. Framework: osemosys{" "}Framework: pypsa{" "}Unit: \$/MW{" "}Temporality: year\_only Overnight investment cost per technology. Framework: osemosys{" "}Framework: pypsa{" "}Unit: \$/MWh{" "}Temporality: year\_only Variable operating & maintenance costs per technology. ## Demand Framework: osemosys{" "}Framework: pypsa{" "}Unit: MWh{" "}Temporality: year\_only Total annual electricity demand per region. Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: full Electricity demand per time-slice as a proportion of total annual demand. Expressed as a decimal e.g. 0.2 for 20%. ## Economic Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: constant Cost of capital is the “price of money” used to build a technology. It turns a one-time overnight capital cost into an annual cost so the model can compare technologies fairly. A higher cost of capital means a more expensive annualised cost. Framework: osemosys{" "}Unit: unitless{" "}Temporality: constant Discount rate is the "time value" of money. It tells the model how much less a dollar spent in the future is worth compared to a dollar spent today. Higher rates favor technologies with low upfront costs, while lower rates favor capital-intensive options. ## Operational Framework: osemosys{" "}Framework: pypsa{" "}Unit: t/MWh{" "}Temporality: year\_only Emissions produced per unit of activity per technology. Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: year\_only Fuel use per technology. Expressed as a decimal e.g. if a technology consumes 2 units of a fuel to generate 1 unit of electricity, its input activity ratio would be 2.0. Framework: osemosys{" "}Framework: pypsa{" "}Unit: years{" "}Temporality: year\_only Operating life of each technology in years. Framework: pypsa{" "}Unit: unitless{" "}Temporality: constant Maximum allowed decrease in a technology’s power output between two time steps, relative to its total capacity. Expressed as a decimal e.g. a value of 0.2 means a technology can decreases its output by 20% of its total capacity per time step. Framework: pypsa{" "}Unit: unitless{" "}Temporality: constant Maximum allowed increase in a technology’s power output between two time steps, relative to its total capacity. Expressed as a decimal e.g. a value of 0.2 means a technology can increase its output by 20% of its total capacity per time step. ## Policy Framework: osemosys{" "}Framework: pypsa{" "}Unit: t{" "}Temporality: year\_only Maximum emissions allowed per year. Can be used to set emissions targets. Framework: osemosys{" "}Unit: \$/t{" "}Temporality: year\_only The cost / penalty of emissions. Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: year\_only Maximum generation allowed per technology as a proportion of total generation. This can be used to set generation limits e.g. Only 20% of generation can come from solar. Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: year\_only Minimum generation required per technology as a proportion of total generation. This can be used to set generation targets e.g. 20% of generation must come from solar. Framework: osemosys{" "}Unit: unitless{" "}Temporality: year\_only The percentage of extra capacity required above the expected peak demand, ensuring reliability in case of unexpected outages or demand surges. Expressed as a decimal e.g. 1.2 for 20% reserve margin. Framework: osemosys{" "}Unit: unitless{" "}Temporality: constant The maximum proportion of a technology's total capacity that can contribute to reserve margin e.g. 0.2 means 20% of a given technology's total capacity can contribute to reserve margin. Framework: osemosys{" "}Unit: t{" "}Temporality: constant Maximum emissions allowed over the entire model time horizon. Can be used to set emissions targets. ## Storage Framework: osemosys{" "}Framework: pypsa{" "}Unit: MWh{" "}Temporality: constant Starting storage capacity at the very beginning of the simulation (time step 0). Framework: osemosys{" "}Unit: MWh/year{" "}Temporality: constant Maximum charging rate for storage technologies. Framework: osemosys{" "}Unit: MWh/year{" "}Temporality: constant Maximum discharging rate for storage technologies. Framework: pypsa{" "}Unit: %/h{" "}Temporality: year\_only The proportion of stored energy lost per hour for storage technologies. Given as a decimal i.e. 0.2 for 20% loss per hour. Framework: pypsa{" "}Unit: MWh{" "}Temporality: typical\_profile Required state of charge per time slice for storage technologies. Framework: osemosys{" "}Unit: binary (0 or 1){" "}Temporality: constant If enabled (i.e. set to 1, not 0), then the storage technology should charge the same amount it discharges over a day. Framework: osemosys{" "}Unit: binary (0 or 1){" "}Temporality: constant If enabled (i.e. set to 1, not 0), then the storage technology should charge the same amount it discharges over a season. Framework: osemosys{" "}Unit: binary (0 or 1){" "}Temporality: constant If enabled (i.e. set to 1, not 0), then the storage technology should charge the same amount it discharges over a year. Framework: osemosys{" "}Framework: pypsa{" "}Unit: h{" "}Temporality: year\_only Maximum number of hours the storage technology can discharge at full power before it is empty e.g. 4 for a 4-hour battery. ## Utilisation Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: year\_only Maximum annual output per technology as a proportion of total capacity. Expressed as a decimal e.g. 0.8 for 80%. Used to represent the possibility for planned outages. Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: year\_only Minimum annual output required per technology as a proportion of total capacity. Expressed as a decimal e.g. 0.8 for 80%. Used to represent technical or economic constraints e.g. Power Purchase Agreements. Framework: pypsa{" "}Unit: unitless{" "}Temporality: typical\_profile Minimum hourly output required per technology as a proportion of total capacity. Expressed as a decimal e.g. 0.8 for 80%. Framework: osemosys{" "}Framework: pypsa{" "}Unit: unitless{" "}Temporality: typical\_profile Maximum capacity available to renewable technologies per time slice, as a proportion of total capacity, due to weather and seasonal patterns. Expressed as a decimal e.g. 0.2 for 20%.