Nexiga data finder

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Energy | Market data

*Area level that is directly available for the feature. Further area levels on request.

*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Heat demand

The heat demand for residential buildings is based on calculations that include building characteristics and general conditions such as altitude, local weather conditions, and building density in the individual regions.

The variable primarily supports the development of climate protection and heat demand concepts, the analysis of neighborhoods from an energy perspective and the investigation of supply networks.

 

  • Heat requirement of the building in kWh
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Probability for heating modernization

This variable describes the probability of replacing the existing heating system and indicates the potential for modernizing heating systems. Energy suppliers or heating installation companies in particular can use this information to place contracting offers and advertising measures in a more targeted manner, for example.

  • Probability of changing the heating system in percent
  • Age of the building's heating system
  • Probability of contracting for a heating system
  • Heating output in kWh
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Age of the heating system of the building in 5 classes

  • Installation before 1995
  • Installation 1995 - 2000
  • Installation 2000 - 2005
  • Installation 2005 - 2010
  • Installation after 2010

Solar system

*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Photovoltaic system 

Describes the presence of a solar installation on the building reported under the Renewable Energy Sources Act.

  • Solar system available on the building
  • Solar system on the building unknown
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Affinity for solar systems 

The affinity for installing a solar system is expressed in values between 1 and 9, where 1 describes a very low affinity and 9 a very high affinity.

*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Solar system power

The performance of the solar system installed on the building is described by the following six variables:

  • No solar system available on the Building
  • Smallest plant under 5 KW/h nominal power
  • Small plant 6 - 10 KW/h nominal power
  • 11 - 20 KW/h nominal power
  • 21 - 50 KW/h nominal power
  • over 50 KW/h nominal power
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Contracting Score

The contracting score describes the affinity for the contracting model in relation to the energy sector. A contracting score can be reported for each building in order to place the energy saving concepts with the right owners.

  • Probability of contracting for a heating system in 5 classes from class 1 = very low to class 5 = very high
*County, Municipality, WohnquartierKreis, Municipality, Neighbourhood

Alternative energies, oil and gas utilization

  • Probability of using alternative energy
  • Probability for the use of fossil energy Oil
  • Probability of using fossil energy gas
    (shown as an index BRD = 100)
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Gas availability

Describes the possibility of connecting the building to a gas pipe.

  • Gas availability unknown
  • Gas availability known at address
  • Gas availability derived from Street segment
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Power requirement

  • Electricity consumption of the building in KW/h
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Affinity for electromobility

  • Likelihood of buying an e-car
    (indicated in 9 classes from class 1 = very low affinity to class 9 = very high affinity)
*Building, County, Municipality, Neighbourhood, Street segment, Zip code, Micro-Zip code

Environmental affinity

  • Probability for the environmental factor in decisions
    (is given in 9 classes from class 1 = very low affinity to class 9 = very high affinity)
*Street segment, County, Municipality, Neighbourhood, Zip code, Micro-Zip code

Households with fossil fuels

  • Number of households with gas
  • Number of households with oil
* 100x100m grid

Census data

  • Grid ID
  • Community of apartment owners (number, share)
  • Private individual(s) (number, share)
  • Housing cooperative (number, share)
  • Municipality or municipal housing company (number, share)
  • Private housing company (number, share)
  • Other private company (number, share)
  • Federal or state government (number, share)
  • Non-profit organization (e.g. church) (number, share)
  • District heating (district heating) (number, share)
  • Floor heating (number, share)
  • Block heating (number, share)
  • Central heating (number, share)
  • Single/multi-room stoves (including night storage heaters) (number, proportion)
  • No heating in the building or in the apartments (number, proportion)
*Building

Garage register

Nexiga has created a garage cadastre from the official house perimeters and determined a distance to the nearest garage for each building.

  • Distance to the next garage
    (For distances up to 5m, the garage is very likely to be part of the building. Up to 10m the probability is still high. From 50m no assignment is given).

More questions about our data?

Are you interested in a specific data characteristic or would you like to learn how it can be used for analyses and with our systems? Please use the contact form without any obligation. We are looking forward to your questions!