Abstract | April 2016 Impact report of the NRW.BANK.Green Bond Findings of the analysis of greenhouse gas emissions avoided by the NRW.BANK.Green Bond 2015 Authors: Klaus Wiesen, Jens Teubler, Paul Suski and Holger Berg On instructions from Abstract Impact report of the NRW.BANK.Green Bond On instructions from the NRW.BANK, the Wuppertal Institut carried out an impact report of the NRW.BANK.Green Bond 2015. The bond had a volume of €500M and a term of 10 years. It was used to refinance environmental projects in the water and energy sectors in Nordrhein-Westfalen (North Rhine-Westphalia]. The projects are split between the Climate Mitigation (€405.4M) and Climate Adaptation (€94.6M) sectors. Promotion shares: The report analyses the contribution to climate protection of "Climate Mitigation" Förderanteile im Bereich "ClimateSector Mitigation“ the refinanced shares in the promotion projects from the Wind energy 37 37% Windenergie % "Climate Mitigation" sector with a value of €405.4M. These Windenergie 37% projects are for Gebäude Gebäude 50 % Buildings 50% 50% n the construction of wind power systems, n the construction of gas and steam turbine power stations1, n 405,4 Mio. EUR €405.4M Effizienzkredi te Effizienzkredite 2% Efficiency credits 2% GuD 2% 11% GuD 11 % Gas and steam turbines 11% Energy efficiency measures in manufacturing companies and n new building of energy-efficient public buildings. The calculated avoidance of greenhouse gas emissions from these projects over the term of ten years is equivalent to 2.7 M tonnes of CO2. Measured on an emission amount of €500M, this comes to an annual saving of an equivalent of 540 tonnes CO2 for each million EUR. In relation to the development loans extended, gas and steam turbine power stations are demonstrably the most efficient type of system for avoiding greenhouse gases. However, it should be noted that wind power systems have a patently higher avoidance potential per kilowatt-hour of electrical energy. All promoted sectors also avoid greenhouse gases over the term of the green bond. By means of an investment of €1M, avoided CO2 equivalent for a 10 year term in various climate mitigation projects Buildings Gebäude Efficiency credits Effizienzkredite 142 tonnes 1.031 tonnes 21.664 tonnes Gas and steam turbines GuD 11.581 tonnes Wind energy Windenergie 0 10.000 20.000 The impact report bears out the recommendations of the "Harmonized Framework for Impact Reporting2". Greenhouse gas emissions for wind power and gas and steam turbine systems were calculated over the entire life cycle. With efficiency credits and efficient buildings, the calculation relates however, owing to limited data availability, only to the preliminary chains of the energy source used. The energy supply (NRW mix) and the average energy need for a public building was determined as the benchmark for calculating the potential savings. ––– 1 Gas and steam turbines (German abbreviation - GuD) use natural gas for electricity and heat production. 2 Green Bonds - Working Towards a Harmonized Framework for Impact Reporting Wuppertal Institut | 2 Abstract Impact report of the NRW.BANK.Green Bond Wind energy promotion The construction of wind farms with a total output of 136 MW was 72 percent financed by Greenhouse gases avoided through wind farms: 1.7 million equivalent tonnes of CO2. the NRW.BANK.Green Bond. The systems produce an estimated annual 160 GWh of electrical energy. The sum 52% of €148.4M refinanced by the Green Bond leads to an avoidance of 1.7 million equivalent tonnes of CO2 over a 48% Citizen wind farms Bürgerwindparks term of ten years. Approximately half of the greenhouse Commercial Operators Kommerzielle Betreiber gases avoided is related to the erection of public wind farms. Promotion of Power station technology Around €44.5M from the NRW.BANK green bond have flowed into the refinancing of the building of energy-efficient gas and steam turbine power stations generating electricity and heat. This avoids 964 thousand equivalent tonnes of CO2 over a term of ten years. Efficiency credits for companies The NRW.BANK.Green Bond is a participant, with €9.2M, in measures for energy efficiency and air purification. €8.2M were used for saving electricity and heat. This resulted in 8.4 thousand tonnes of avoided greenhouse gases over a term of 10 years. A considerable part of the investments flowed into the retail trade (a 57% share). Greenhouse gases avoided through efficiency credits: 8.4 thousand equivalent tonnes of CO2. Small trade businesses Handwerksbetriebe 14.0% 0% Manufacturing industry Verarbeitendes Gewerbe 22.1% 20% Retail trade Einzelhandel Service Dienstleister providers Construction Baugewerbe 6.3% 0.5% 57.1% 40% 60% 80% 100% Promoting energy-efficient buildings The construction of non-residential buildings in NRW was financed with a total of €203.4M by means of the NRW.BANK.Green Bond, which equates to a 91% share of the project financing. In comparison with existing buildings, this avoided at least 29 thousand equivalent tonnes of CO2 over the term of ten years. Greenhouse gases avoided through energy-efficient buildings: 29 thousand equivalent tonnes of CO2. 39% 61% Universities and research Hochschulen und institutions Forschung Administrative buildings, Verwaltungs-, Polizeipolice and fire stations und Feuerwehrgebäude The annex lists the results in accordance with the instructions in the framework for impact studies of Green Bonds. This also includes additional information on the methodology used. Wuppertal Institut | 3 Abstract Impact report of the NRW.BANK.Green Bond Annex Impact report results The following tables show the impact report results in detail, in accordance with the instructions in the framework for impact studies of Green Bonds. For better ranking, the indicators are identified in each case as a total (100%) related to the funding share. Energy Production Signed Amount unit milion € Share of Total Project Financing (estimate) % Wind energy Gas and Steam power plants 148,4 44,5 71,8% 5,2% Energy Efficiency Signed Amount unit milion € Share of Total Project Financing (estimate) % Energy Efficiency Loans Energy-efficient buildings 8,2 203,4 92,6% 90,8% Eligibility for green bonds RE Component Project lifetime Annual generation Renewable energy capacity added Annual GHG emissions avoided % of signed amount % of signed amount in years GWh/a MW in 1.000 tonnes of CO2 equivalents per year 100% financed 100% financed 100% financed 100% 100% 100% 0% 20 35 224,8 2.758,8 159,2 142,3 135,6 0,0 97,4 0,0 242,6 1.868,6 171,8 96,4 Eligibility for green bonds EE Component Project lifetime Annual Energy Savings % of signed amount % of signed amount in years GWh/a 100% 100% 100% 100% 10 10 Annual GHG emissions avoided in 1.000 tonnes of CO2 equivalents per year 100% financed 100% financed 1,25 11,7 1,15 11,3 0,93 3,0 0,84 2,9 Methodology The impact report carried out is restricted to the avoidance of greenhouse gases on the basis of IPPC 20073. Other possible environmental effects, such as a reduction of the land required or the raw material used were not investigated. Three different system types covering the life cycle form the basis for calculating wind power systems. The basic assumptions are a working life of 20 years, 1,658 hours a year at gross full load and a lump sum for building costs of €1,523 per kilowatt4. The calculation for the avoidance potential with gas and steam turbine power stations is based on 2,640 hours a year at gross full load and a working life of 35 years. The avoidance of greenhouse gases for efficiency credits results from the specific greenhouse gas equivalents for heat generation by gas and heating oil, as well as energy generation and remote heating supply in NRW5. All factors include the preliminary energy source chains, but not the life cycle of the infrastructure needed for conversion. The potential savings for heat consumption were calculated on the basis of renovated nonresidential buildings in Germany6. The buildings actually financed, however, are constructed in accordance with the EnEV 2016 standard and are therefore predictably more efficient than the ––– chosen reference systems. 3 Determined over 100 years according to https://www.ipcc.ch/publications_and_data/ar4/wg1/en/ch2s2-10-2.html 4 Fraunhofer, IWES (2015): Wind energy report 2014 5 Federal Region Energy Budgets, version: 23 December 2015, http://www.lak-energiebilanzen.de 6 Federal Ministry for Traffic, Construction and Urban Development (2013): Systematic data analysis in the non-residential buildings sector – Recording and quantifying energy saving and CO2 reduction potentials rd Wuppertal Institut | 4
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