Update readme

README.md

@@ -1,9 +1,9 @@
 ![E.ON EBC RWTH Aachen University](./img/EBC_Logo.png)
+![DVG TU Berlin](./img/DVG_Logo.png)
 
 # DistrictGenerator
 
 [![License](http://img.shields.io/:license-mit-blue.svg)](http://doge.mit-license.org)
-[![Documentation](https://rwth-ebc.github.io/FiLiP/master/docs/doc.svg)](https://rwth-ebc.github.io/FiLiP/master/docs/index.html)
 
 The districtgenerator is a Python tool for generating building-specific thermal, electrical and occupancy profiles for districts. 
 By integrating several open-source data bases and tools like [TEASER](https://github.com/RWTH-EBC/TEASER) and 
@@ -74,11 +74,6 @@ The minimal input data set was defined following the [TABULA archetype approach]
 * _retrofit_: retrofit state according to TABULA (0: existing state, 1: usual refurbishment, 2: advanced refurbishment)
 * _area_: reference floor area (given in square meters)
 
-- id: building ID (just numerate the buildings)
-- building: residential building type (single family house, terraced house, multi family house or apartment block)
-- year: construction year (the calendar year in which the building was constructed)
-- retrofit: retrofit state according to TABULA (0: existing state, 1: usual refurbishment, 2: advanced refurbishment)
-- area: reference floor area (given in square meters)
 
 The example.csv file can be used as [template](../districtgenerator/data/scenarios/example.csv).
 

districtgenerator/data/scenarios/test_scenario_nwg.csv

@@ -0,0 +1,12 @@
+id;building;year;retrofit;area
+0;IWU Office, Administrative or Government Buildings;1963;0;61
+1;IWU Research and University Teaching;1934;0;59
+2;IWU Health and Care;2014;0;25
+3;IWU School, Day Nursery and other Care;1926;0;21
+4;IWU Culture and Leisure;1993;0;21
+5;IWU Sports Facilities;1905;0;54
+6;IWU Trade Buildings;1947;0;64
+7;IWU Technical and Utility (supply and disposal);1924;0;70
+8;IWU Transport;1927;0;89
+9;IWU Generalized (1) Services building;1929;0;16
+10;IWU Generalized (2) Production buildings;1988;0;86