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Move all DH Viability file downloads to bottom
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_posts/2021-09-07-district-heating-viability-map-v2.md

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{% assign benchmarks_csv="https://codema-dev.s3.eu-west-1.amazonaws.com/benchmarks.csv" %}
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**Download:**
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- Data - [dublin_small_area_heat_demand.zip](https://codema-dev.s3.eu-west-1.amazonaws.com/dublin_small_area_heat_demand.zip)
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- Images - [district-heating-viability-map-v2.zip](/assets/images/district-heating-viability-map-v2.zip)
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## Overview by Building Type
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### Non-Residential
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{% include district-heating-viability-map-v2/non_residential_pie_mwh_per_y.html %}
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> See [benchmarks.csv]({{ benchmarks_csv }}) for benchmark properties
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### Residential
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| period_built | description |
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## Caveats
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- Public Sector Building demand isn't included as it currently isn't possible to locate all buildings within Small Areas as the data is at postcode level
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- Buildings with floor areas much larger than expected for the use type were removed. See [benchmarks.csv]({{ benchmarks_csv }}) for benchmark properties.
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- Public Sector Building demand isn't included as it currently isn't possible to locate all buildings within Small Areas as the data is at postcode level.
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- Buildings with floor areas much larger than expected for the use type were removed.
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- Process heat >100°C is not included in these maps. We can have a seperate map showing the process heat hot spots.
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## Assumptions
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```
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- Buildings with 0 fossil fuel demand are assumed to have no heat demand.
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- `CIBSE TM46` & `CIBSE Guide F` floor area energy benchmarks are reflective of current Dublin commercial building demands
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- All buildings within each energy benchmark category are well represented by this category. See [benchmarks.zip](https://codema-dev.s3.eu-west-1.amazonaws.com/benchmarks.zip) for use categories linked to benchmarks and [benchmarks.csv]({{ benchmarks_csv }}) for benchmark properties
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- All buildings within each energy benchmark category are well represented by this category.
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```
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Residential heat demand = SUM(Main & Supplementary Space & Hot Water Demand [kWh/year])
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```
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- SEAI's DEAP model is representative of actual heat demands. In reality, DEAP tends to overestimate demands in older buildings it and underestimate it in newer.
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- Unknown buildings are well represented by archetypes. These archetypes were created by filling unknown buildings iteratively with a sample of nearby, known buildings with a sample size of greater than 30. So if there is enough buildings of the same `Small Area` and `Period Built` this average is used, otherwise `Electoral District`, then `Postcode`, and finally `Period Built`.
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## Download
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- [dublin_small_area_heat_demand.zip](https://codema-dev.s3.eu-west-1.amazonaws.com/dublin_small_area_heat_demand.zip) - small area demand data
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- [district-heating-viability-map-v2.zip](/assets/images/district-heating-viability-map-v2.zip) - images of Maps & Tables
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- [benchmarks.csv](https://codema-dev.s3.eu-west-1.amazonaws.com/benchmarks.csv) - commercial building energy benchmarks
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- [benchmarks.zip](https://codema-dev.s3.eu-west-1.amazonaws.com/benchmarks.zip) - commercial energy benchmark categories linked to valuation office uses

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