Axis NIFTY Bank ETF · NSE:BNKETFAXIS

Axis NIFTY Bank ETF — IEA Webinar (June 2014)

20 slides from Axis NIFTY Bank ETF's conference presentation, Jun 23, 2014

  1. Slide 1: www.entranze.eu

    www.entranze.eu

  2. Slide 2: Content

    CONTENT  The model Invert/EE-Lab  Data collected in the project ENTRANZE  Selected results for a few EU countries 2 www.entranze.eu

  3. Slide 3: Content

    CONTENT  The model Invert/EE-Lab  Data collected in the project ENTRANZE  Selected results for a few EU countries 3 www.entranze.eu

  4. Slide 4: The model Invert/EE-Lab

    THE MODEL INVERT/EE-LAB  Bottom-up modelling tool of building stock and related heating, cooling and hot water systems  Simulates substitution and/or renovation of technologies and building components  Takes into account user behaviour  Endogenous modelling of decision making and resulting marke

  5. Slide 5: Disaggregated modelling of the building stock

    DISAGGREGATED MODELLING OF THE BUILDING STOCK Residential buildings Non-residential  Highly disaggregated representation of the Single family houses Office buildings building stock (Row houses) Retail buildings  Demolition and Multifamily houses …. construction of buildings x x Construction period

  6. Slide 6: Disaggregated modelling of the building stock

    DISAGGREGATED MODELLING OF THE BUILDING STOCK Residential buildings Non-residential  Highly disaggregated representation of the x building stock Technologies Energy carriers  Demolition and Condensing boiler Natural gas construction of buildings Low temperature boiler Heating oil  Various heating

  7. Slide 7: Structure Invert/EE-Lab

    STRUCTURE INVERT/EE-LAB t=t0 Database building stock Space heating, cooling and User behavior (t=t0, input of simulation results for t1 … tn) hot water energy needs and delivered energy calculation Climate data Building stock data module [ON13790] (monthly mean temp., solar • Installed heating, hot

  8. Slide 8: Content

    CONTENT  The model Invert/EE-Lab  Data for the EU building stock collected in the project ENTRANZE  Selected results for a few EU countries 8 www.entranze.eu

  9. Slide 9: Policies to enforce the transition to nZEBs in the EU (ENTRANZE)

    POLICIES TO ENFORCE THE TRANSITION TO NZEBS IN THE EU (ENTRANZE)  IEE Project  Support of policy makers in the implementation of effective and efficient policies for nZEBs  Investigate the impact of policies in scenarios up to 2030 in target countries and EU-28 (+Serbia)  Set up a comprehensive

  10. Slide 10: ENTRANZE database covers

    ENTRANZE DATABASE COVERS:  Residential and non-residential buildings (industrial buildings excluded)  EU-28 (+Serbia)  Split into climatic regions for selected EU countries  Building stock data  Installed heating, hot water and cooling systems  U-values  Geometry  Installation/constr. period

  11. Slide 11: Data sources

    DATA SOURCES  ENTRANZE database (www.entranze.eu), building on:  BPIE data hub (www.buildingsdata.eu)  Odyssee - Mure  Eurostat  National building statistics  National statistics on various economic sectors for non- residential building data  Tabula and similar projects regarding building typ

  12. Slide 12: Online data tool

    ONLINE DATA TOOL www.entranze.eu 13 www.entranze.eu

  13. Slide 13: Online data tool

    ONLINE DATA TOOL A table showing the country ranking A map with the values of indicators by A bar chart country providing additional detail for the indicator Entranze June 2014-EUSEW 14 14 www.entranze.eu

  14. Slide 14: Content

    CONTENT  The model Invert/EE-Lab  Data for the EU building stock collected in the project ENTRANZE  Exemplary, selected results for a few EU countries 15 www.entranze.eu

  15. Slide 15: Online scenario tool

    User chooses country, scenarios and indicators ONLINE SCENARIO TOOL Price sensitivity Results can be uploaded in excel, and displayed in several formats (table or graphs) 16 www.entranze.eu

  16. Slide 16: E.g. France: CO2/energy-tax vs. proactive, target group oriented policy sets

    E.G. FRANCE: CO2/ENERGY-TAX VS. PROACTIVE, TARGET GROUP ORIENTED POLICY SETS Moderate price Strong regulatory signals show measures with 700,000 only low impact. Final energy demand for space heating and target group 600,000 oriented package 500,000 400,000 Solar thermal E 300,000 Ambient E. DHW, GW

  17. Slide 17: E.g. Germany: long-term scenarios

    E.G. GERMANY: LONG-TERM SCENARIOS Focus efficiency Focus electricity and RES, moderate eff. 900 900 800 800 Final energy demand (TWh) Final energy demand (TWh) Coal C 700 700 Heating oil H 600 600 Natural gas N 500 500 900 Electricity E 400 400 800 District heating D 300 300 demand (TWh) Biomass Coa

  18. Slide 18: E.g. Austria: climate sensitive scenarios

    E.G. AUSTRIA: CLIMATE SENSITIVE SCENARIOS 110 Electricity Cooling Auxiliary Energy 100 100 Electricity Local RES heat 90 Final energy demand [TWh] construction period (CP) and DHW Fuel, renewable Fuel, non renewable 80 Energy needs for heating per 80 DHW, all CP 70 60 CP after 2008 50 60 40 [TWh] 30

  19. Slide 19: Thank you for your attention!

    Thank you for your attention! Further information: www.entranze.eu Lukas Kranzl Vienna University of Technology Energy Economics Group Tel: + 43 1 58801 370351 Email: lukas.kranzl@tuwien.ac.at 20 www.entranze.eu

  20. Slide 20: Service factor and rebound effect

    SERVICE FACTOR AND REBOUND EFFECT Impact of dwelling size and building quality on average indoor temperature Rebound effect Renovation Source: IWU, 2004 21 www.entranze.eu

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