SPD DFES Totals by Building Blocks — SPENOpenDataPortal

The Distribution Future Energy Scenarios (DFES) provides forecasts of the uptake of Low Carbon Technologies (LCTs), changes to peak demand, and changes to installed Distributed Generation (DG) and storage. The forecasts are in the form of a scenario range out to 2050, covering changes to our distribution networks (i.e. 33kV and below) as a result of GB’s transition to Net Zero Forecasts.

There are four credible future scenarios covering a range of uncertainties, including differing levels of consumer ambition, policy support, economic growth and technology development.

This DFES table provides the forecast numbers of heat pumps, EVs, and residential EVs only, aggregated to local authority level.

DFES data presented using NESO FES technology building block for comparison to FES publication and information feedback. Technology building blocks published were agreed by the ENA. Data provided is consistent across all DFES tables.

Reports and methodology documents can be found in the DFES section of our website: Distribution Future Energy Scenarios - SP Energy Networks

For additional information on column definitions, please click on the Dataset schema link below.

Download dataset metadata (JSON)

If you wish to provide feedback at a dataset or row level, please click on the “Feedback” tab above.

Data Triage:

As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process.

Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click here to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset.

To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information page.

Attachments

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Dataset schema

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Licence

No description available for this field.

Name (identifier)	licence
Type	text
Sample

Building Block

This specifies the FES technology type that forecast is being provided for.
- LCT_BB001: Pure Electric (vans, cars & motorbikes)
- LCT_BB003: Pure Electric (road vehicles other than vans, cars and motorbikes)
- LCT_BB005: Domestic - Non-hybrid
- LCT_BB006: Domestic - Hybrid
- LCT_BB007: I&C - Non-hybrid
- LCT_BB008: I&C - Hybrid
- GEN_BB012: Solar Generation - Large (G99)
- GEN_BB013: Solar Generation - Small (G98)
- GEN_BB015: Wind - Onshore Wind >=1MW
- GEN_BB016: Wind - Onshore Wind <1MW
- SRG_BB001: Batteries
- SRG_BB002: Domestic Batteries (G98)

No description available for this field.

Name (identifier)	building_block
Type	text
Sample

GSP

This specifies the substation that the forecast is for.

No description available for this field.

Name (identifier)	gsp
Type	text
Sample

Scenario

This specifies the scenario.	
- HT: Holistic Transition
- EE: Electric Engagement
- HE: Hydrogen Evolution
- CF: Counterfactual

No description available for this field.

Name (identifier)	scenario
Type	text
Sample

Year

This specifies the year - DFES starting position is the last complete calendar year, and forecasts per year, out to 2050.
- 2023: "As peak demand is key to our modelling, the year corresponds to winter of that year (i.e. 'December 2023') when the peak is likely to happen, although more widely it corresponds and takes data from the financial year ending the following March in line with regulatory reporting - e.g. 2023 = 2023/24.  The first year is historic data. Following years are predominantly forecast data."

No description available for this field.

Name (identifier)	year
Type	decimal
Sample

Unit

This specifies the unit that the attribute is measured in.	
- MW: Megawatts (power or rate of energy transfer)
- Number: The number of LCTs

No description available for this field.

Name (identifier)	unit
Type	text
Sample

Value

This gives the data value, type: float.

No description available for this field.

Name (identifier)	value
Type	decimal
Sample

JSON Schema

The following JSON object is a standardized description of your dataset's schema. More about JSON schema.

{

"title":"spd-dfes-totals-by-building-blocks",
"type":"object",
"oneOf":
[
- {
  - "$ref":"#/definitions/spd-dfes-totals-by-building-blocks"
  }
]
,
"definitions":
{
- "spd-dfes-totals-by-building-blocks":
  {
  - "properties":
    {
    "records":
    {
    "type":"array",
    "items":
    {
    "$ref":"#/definitions/spd-dfes-totals-by-building-blocks_records"
    }
    }
    }
  }
  ,
- "spd-dfes-totals-by-building-blocks_records":
  {
  - "properties":
    {
    "fields":
    {
    "type":"object",
    "properties":
    {
    "licence":
    {
    "type":"string",
    "title":"Licence",
    "description":""
    }
    ,
    "building_block":
    {
    "type":"string",
    "title":"Building Block",
    "description":"This specifies the FES technology type that forecast is being provided for. - LCT_BB001: Pure Electric (vans, cars & motorbikes) - LCT_BB003: Pure Electric (road vehicles other than vans, cars and motorbikes) - LCT_BB005: Domestic - Non-hybrid - LCT_BB006: Domestic - Hybrid - LCT_BB007: I&C - Non-hybrid - LCT_BB008: I&C - Hybrid - GEN_BB012: Solar Generation - Large (G99) - GEN_BB013: Solar Generation - Small (G98) - GEN_BB015: Wind - Onshore Wind >=1MW - GEN_BB016: Wind - Onshore Wind <1MW - SRG_BB001: Batteries - SRG_BB002: Domestic Batteries (G98) "
    }
    ,
    "gsp":
    {
    "type":"string",
    "title":"GSP",
    "description":"This specifies the substation that the forecast is for. "
    }
    ,
    "scenario":
    {
    "type":"string",
    "title":"Scenario",
    "description":"This specifies the scenario. - HT: Holistic Transition - EE: Electric Engagement - HE: Hydrogen Evolution - CF: Counterfactual "
    }
    ,
    "year":
    {
    "type":"number",
    "title":"Year",
    "description":"This specifies the year - DFES starting position is the last complete calendar year, and forecasts per year, out to 2050. - 2023: "As peak demand is key to our modelling, the year corresponds to winter of that year (i.e. 'December 2023') when the peak is likely to happen, although more widely it corresponds and takes data from the financial year ending the following March in line with regulatory reporting - e.g. 2023 = 2023/24. The first year is historic data. Following years are predominantly forecast data." "
    }
    ,
    "unit":
    {
    "type":"string",
    "title":"Unit",
    "description":"This specifies the unit that the attribute is measured in. - MW: Megawatts (power or rate of energy transfer) - Number: The number of LCTs "
    }
    ,
    "value":
    {
    "type":"number",
    "title":"Value",
    "description":"This gives the data value, type: float."
    }
    }
    }
    }
  }
}

}

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