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Are there benchmarks in public real estate?
DI Werner Erhart-Schippek, MSc MRICS
Tasks and services
LIG Portfolio
Net Internal Area(560.000 m2) office buildings
vocational schools (trade and commerce)
vocational schools (agriculture)
vocational schools (home economics)
boarding schools
nursing homes for the elderly
social buildings
buildings of cultural interest
museum
others
Characteristics of Public Real Estate Management
Public real estate management focuses on:• Reducing costs for running a building• Improveing efficiency of building managment• Increaseing sustainability of a building and running this building
Compared with investors in real estate:• They don´t aim at increasing yields
Problems in the field of public real estate benchmarking:Reference values (eg areas are not known or incorrectA different point of view considering costs: they have a budget for every year …
Why benchmarking
• to compare with the best participants in the domain of public real estate management
• to learn from the best• to find out weak points and to improve• to find out inefficient processes• to achive economical management of buildings• to get to know best practice examples• to prepare key indicators for decisions• to survey the effects of measures
Why benchmarking?
Why benchmarking?
Why benchmarking?
Benchmark: Term Definition
“Benchmarking is the process of comparing one's business processes and performance metrics to industry bests and/or best practices from other industries. Dimensions typically measured are quality, time and cost.”
(Wikipedia, http://en.wikipedia.org/wiki/Benchmarking, 18th October 2011)
Kinds of Benchmarking
• Internal – external benchmarking• Following the vertical model:
– processes– location– company
• Following the horizontal model:– Life cycle phases of a building
Various Points of View
• Investors annual rate of return• Owners low costs for constructing and
running buildings• Lessee low workplace costs
Key Indicators
• Costs (€)• Measurement of consumption (KWh, m³)• Productivity• Economic key indicator for buildings• Quality assurance • Balance sheet• …..
Importance and use of KPI in REM
Some Benchmarking Datapools in Austria and Germany
• CREIS Real Estate Monitor (http://www.creis.net/index.html)
• GEFMA (http://www.gefma.de/) • KGst (http://www.kgst.de/) • ATGA (http://www.atga.com/joomla/index.php)
KGSt Benchmark Pool
KGSt Benchmark Pool
Austrian FM Monitor 2009
Realis Bench 2009costs for electricity
CREIS: Office Buildings – Survey of Heating, Water, Electricity Consumption
Example:
Survey of heating, water and electricity consumption of all LIG office buildings (public administration).
Clicking the button „analyse“ the following view is available
CREIS: all Office Buildings and their Level of Heating, Water and
Electricity Consumption
Reports
• FM Monitor by TU Graz• FM Benchmarking Bericht by GEFMA• Benchmarks für die Emergieeffizienz von
Nichtwohngebäuden by ARGE Benchmark und BM Verkehr, Bau und Stadtentwicklung
• FM Monitor by pom+ Consultung• RealisBench Immibilien-Benchmarking für die
öffentliche Hand by BayerFM• OSCAR by Jones Lang Lasalle /CREIS
LIG: Benchmarking of the Homes for the Elderly
• LIG owns four homes for the elderly (Knittelfeld, Kindberg, Mautern, Bad Radkersburg)
• During a pilot project 2009 key indicators of 21 homes in Tyrol and four ones in Styria were analysed.
Net floor ratio (m²)/bed
Water consumption/m²
Heat energy consumption/m²
Electricity consumption/m²
Evaluation cost savings
Keine Reinigungskosten bei LFS, da Schüler den Reinigungsdienst übernehmen
Reinigungskosten bei AG verhältnismäßig gering, da in Verantwortung der A2 (teilweise Eigenreinigung, teilweise Fremdreinigung)
Soweit Daten vorhanden, liegen Ist-Daten der LIG/ Land deutlich über den marktüblichen Kosten
Potenziale bei LPZ, AG und LBS werden in der Hochrechnung berücksichtigt
58,65
20,25
11,49
0,00
30,26
1,67
8,96
88,50
27,15
16,48
0,00
10,00
20,00
30,00
40,00
50,00
60,00
70,00
80,00
90,00
LPZ AG LBS LFS
Mittelwert
Min
Max
Kostenstruktur Reinigung (in €/ m² p.a.)*
Datenbestand: 100 %
Datenbestand:96,4 %(keine D.: Landhausgasse)
Datenbestand: 21,4 %(vorh. D.: 228, 221, 216)
Datenbestand: 0 %
48,40
12,10 10,56 10,56
* Objekte ohne Daten wurden nicht im Benchmark berücksichtigt
Summary
• Public real estate managers do not often use benchmarks
• Reference values are mostly not available• There exist datapools for external benchmarking• Definition of reference values • Different legal framework has to be considered• Helpfull in detecting cost saving potential