Through the Clean Fuel Regulations (CFR), the Government of Canada aims to reduce pollution by 2030 by decreasing the carbon intensity (CI) of gasoline and diesel used in the country. The Canadian Ministry of Environment and Climate Change published a Quantification Method (QM) for co-processing in refineries under the CFR. The QM requires ASTM D6866 testing to measure the biogenic content of the co-processed feedstocks used and the low-CI fuels produced in registered projects.
The Dutch Emissions Authority (Nederlandse Emissieautoriteit, NEa) is publishing a Hydrotreated Vegetable Oil (HVO) Regulation, which takes effect starting October 1, 2021. The NEa is responsible for developing policies related to climate and renewable energy in the Netherlands.
Efforts to decrease greenhouse gas emissions drive the growing production and use of biofuel blends. Beta Analytic’s Haley Gerson shares that fuel manufacturers have co-processed bio-oil with petroleum feeds as it is a cost-effective way to produce biofuels by using existing refinery processes, storage and transport infrastructure. Co-processing is also beneficial since it may help […]
DIN 51637:2014-02 details the determination of the biobased hydrocarbon content of hydrogenated vegetable oil (HVO) in commonly used diesel fuels. This German standard specifies the use of the liquid scintillation counting (LSC) method to measure the carbon-14 content and thereby determine the biobased content.
WASHINGTON — The U.S. Environmental Protection Agency (EPA) has established the amount of bio-diesel products required to be included in diesel fuel markets in 2013. Biobased diesel products are advanced bio-fuels that are derived from sources that include vegetable oils and wastes oils from renewable sources.
WASHINGTON, January 21 — The U.S. Environmental Protection Agency (EPA) has proposed the 2012 percentage standards for four fuel categories that are part of the agency’s Renewable Fuel Standard program (RFS2). EPA continues to support greater use of renewable fuels within the transportation sector every year.
ISO/IEC 17025:2017-accredited Beta Analytic Inc. is one of the exhibitors at the Seventh International Conference on Renewable Resources and Biorefineries (RRB7) in Bruges, Belgium. Alexander Shroff, deputy manager for European operations, and Thierry Sam Tamers, director, will represent the company at the event. The three-day conference, to be held at the Oud Sint-Jan Conference Centre, […]
In the consultation document published by the UK Department for Transport (DfT) regarding the implementation of the transport elements of the EU Renewable Energy Directive, the DfT is proposing to determine the renewable portion of partially renewable fuels through carbon-14 dating techniques.
Beta Analytic, Inc., will showcase its ISO/IEC 17025:2017-accredited lab’s services at the 8th World Congress on Industrial Biotechnology and Bioprocessing, which starts May 8, 2011. Martin Tesini, the company’s Operations Manager for Latin America/Iberian Peninsula, will take charge of Beta Analytic’s tabletop display at the exhibit hall and would welcome any inquiries on biobased or […]
ISO/IEC 17025:2017-accredited Beta Analytic, Inc., will participate in the 1st World Congress of Bioenergy (WCBE-2011) to be held at the World Expo Center in Dalian, China, from April 25 to April 30, 2011. Research & Development Associate Pat Patodia and China Operations Manager Fuming “Steven” Liu are representing Beta Analytic at the event.
Participants of the Advanced Biofuels Markets conference in San Francisco, California, will get a chance to discuss ASTM D6866 biomass carbon content testing with Beta Analytic Inc. on November 9 and November 10, 2010. The company’s representative, Pat Patodia, will be available at the event’s exhibit hall to answer inquiries about the test. ISO/IEC 17025:2017-accredited […]
ASTM D6866 lab Beta Analytic, Inc., invites participants of the 5th Annual Cellulosic Biofuels Summit in Washington, D.C., to visit its booth at the event’s exhibit hall. From November 15 to November 18, representatives from different sectors of the cellulosic biofuels value chain will convene at Almas Temple Club for the 2010 summit. Beta Analytic, […]
The US EPA’s amended Renewable Fuel Standard, also called RFS2, requires ASTM D6866 testing to determine the biogenic fraction of transportation fuels derived from municipal solid waste (MSW), where the renewable portion of the fuel cannot be determined based on the relative energy content of the renewable biomass and fossil feedstock. ASTM D6866 can also […]
Thierry Sam Tamers, Beta Analytic director, recommends the use of ASTM D6866 to measure the biomass fraction of municipal solid waste in a public comment submitted to the U.S. EPA in connection to the revised Renewable Fuel Standard Program.
Beta Analytic submitted a public comment to the Western Climate Initiative relating to the latter’s essential requirements for mandatory reporting final draft. Beta noted that sewage is not 100% biomass.
In an effort to reduce dependence on fuel imports by increasing domestic sources, the U.S. Environmental Protection Agency is proposing to change its Renewable Fuel Standard Program. Changes to the regulation of fuels and fuel additives include:
In its public comment submitted to the U.S. EPA, Beta Analytic recommends the use of ASTM D6866 to determine the biogenic fraction of fuels derived from biomass. Beta points out that ASTM D6866 can precisely and accurately quantify the biogenic fraction of any type of fuel derived from biomass and blended fuel mixtures that contain […]
Beta submitted a comment on the question posed in Section 3.39 of the Renewables Obligation: DRAFT Fuel Measurement and Sampling Guidance document published in December 2008.
Beta Analytic submitted a public comment regarding OFGEM’s consultation document on biodiesel and glycerol.
Christopher M. Reddy, et al developed and validated a radiocarbon-based method that can check the accuracy of retail biodiesel blends. The method, which directly quantifies the biogenic carbon in the biodiesel blends, calculates absolute blend content with ±1% accuracy while accounting for real-world variability in all of the input parameters.
