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Bioliquids could save over 1.2m tonnes of CO2 per annum by 2020

A switch by oil heating users from kerosene to environmentally friendly bioliquids could save the UK over 1.2 million tonnes of CO2 per annum by 2020.

New research released by the Oil Fired Technical Association says a switch by oil heating users from kerosene to environmentally friendly bioliquids could save the UK over 1.2 million tonnes of CO2 per annum by 2020. This is the equivalent CO2 that over a million trees would absorb across their lifetime.

Field trials over an 18 month period have seen the oil industry test a blend of 30 per cent Fatty Acid Methyl Ester (FAME) manufactured from waste cooking oil and 70 per cent kerosene. This bioliquid blend has been proven to reduce carbon emissions by 28% compared to conventional kerosene which is currently used by the majority of households on oil.

OFTEC believes that if this blend is included in the Renewable Heat Incentive, 90 per cent of existing oil customers could transfer to use it by 2020, resulting in considerable carbon savings. Boilers have a natural lifespan of 15-20 years and, with around 80,000 oil boilers being replaced every year, many consumers will switch to a bioliquid condensing boiler if it is included in the RHI.

Jeremy Hawksley, Director General of OFTEC said “our research reveals the significant CO2 savings that could be made if consumers who currently use oil heating switch to an environmentally friendly biofuel blend. OFTEC believes there is a real opportunity for the Government to help consumers move to a lower carbon energy source and would urge them to include bioliquids in the Renewable Heat Incentive”.

OFTEC is calling for a minimum 8p per kw subsidy in the RHI for bioliquid. This is the minimum level needed to make bioliquids viable for end consumers.

CO2 SAVING FORECAST

 

YearHomes Switched (cumulative)

Total Fuel

(metric tonnes)

Total FAME

(metric tonnes)

CO2 Saving
(metric tonnes p/a)
20132,0003,3009903,286
201410,00016,5004,95016,431
201520,00033,0009,90032,861
201650,00082,50024,75082,153
2017100,000165,00049,500164,306
2018250,000412,500123,750410,766
2019500,000825,001247,500821,532
2020750,0001,237,501371,2501,232,298