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            "abstractNote": "Pyrolysis products of biomass (bio-oils) have been shown to cause a reduction in NOx emissions when used as reburn fuel in combustion systems. When these bio-oils are processed with lime, calcium is ion-exchanged and the product is called BioLime™. BioLime™, when introduced into a combustion chamber, causes oils to pyrolyze and reduce NOx emissions through reburn mechanisms while simultaneously causing Ca to react with SO2. Thus NOx and SO2 emissions are reduced at the same time. The devolatilization rates of two biomass-based materials were studied using TGA and were related to the yield of pyrolysis gases and char during flash pyrolysis. Numerical simulations using CHEMKIN to model NO reduction through homogeneous gas phase reactions were reported. The numerical predictions were then compared to NOx emission levels from experiments in a down-fired combustor (DFC) to validate the model. A difference in NO reduction was observed by use of different bio-oils under similar operating conditions. This is believed to be due to the difference in yield of flash pyrolysis products of bio-oils. Also, different pyrolysis gases have different NOx reduction potentials. Knowledge of the relative contribution of pyrolysis gases in NO reduction will help choose a feedstock of biomass that will aid in increasing the yield of the desired species. A parametric analysis was done using the model to study the effect of varying concentrations of hydrocarbons, CO2, CO, and H2, and the results were then verified using a flow reactor. The analysis showed that hydrocarbons were mainly responsible for causing reduction in emissions of NO, whereas CO2, CO, and H2 have very little effect on NO reduction.",
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                },
                {
                    "creatorType": "author",
                    "firstName": "Gilles",
                    "lastName": "Bourque"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marc",
                    "lastName": "Füri"
                },
                {
                    "creatorType": "author",
                    "firstName": "Robert L.",
                    "lastName": "Gordon"
                },
                {
                    "creatorType": "author",
                    "firstName": "Tiziano",
                    "lastName": "Faravelli"
                },
                {
                    "creatorType": "author",
                    "firstName": "Alessio",
                    "lastName": "Frassoldati"
                },
                {
                    "creatorType": "author",
                    "firstName": "Henry J.",
                    "lastName": "Curran"
                }
            ],
            "abstractNote": "This paper describes a method to produce chemical reactor networks (CRNs) consisting of large numbers of perfectly stirred reactors (PSRs) from computational fluid dynamics (CFD) simulations to predict pollutant emissions from combustion systems accurately, flexibly, and efficiently using detailed kinetic schemes and the kinetic post-processor (KPP) developed at Politecnico di Milano. Benefits of the method described here include its applicability to a wide range of combustion systems, its ability to predict emissions of a variety of pollutant species, and its speed. CFD and CFD?CRN simulation results of the Sandia D piloted methane?air diffusion round-jet flame are successfully validated against experimental data for axial velocity, mixture fraction, temperature, and speciation, including CO and NO mass fractions. A CRN consisting of a large number of PSRs is found to be required to simulate the system accurately, while ensuring independence of the solution from CRN size. The results of CFD?CRN analysis for a 1114 PSR network are used to study the pathways (thermal, prompt, N2O, and NO2) by which NO and NO2, the constituents of NOx, are formed in the flame. Results of CFD?CRN analysis show that NO is produced in the high-temperature (T > 1850 K) flame brush by a combination of the prompt, N2O, and thermal pathways and in the intermediate-temperature (1000 < T < 1600 K) post-flame region by a reversal of the NO2 pathway. NO is consumed in the fuel-rich (mixture fraction, f > 0.43) region, where a low O atom concentration encourages a reversal of the prompt pathway (i.e., NO reburning), and in low-temperature (T < 1000 K) regions by the NO2 pathway, which oxidizes NO to NO2. Rate of production analysis, performed using CHEMKIN PRO at specified locations throughout the flame, shows that the trends of NO production and consumption observed in these simulations agree with expected and published results. Finally, the study predicts that, of the total NOx produced by the Sandia D flame, 47% is due to the prompt pathway, 32% is due to the N2O pathway, and 21% is due to the thermal pathway. As future steps in this work, the CFD?CRN method will be adapted and used to predict and study emissions from a range of more complex combustion systems.",
            "publicationTitle": "Energy & Fuels",
            "publisher": "",
            "place": "",
            "date": "March 15, 2012",
            "volume": "26",
            "issue": "3",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "1598-1611",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Energy Fuels",
            "DOI": "10.1021/ef201853k",
            "citationKey": "",
            "url": "http://dx.doi.org/10.1021/ef201853k",
            "accessDate": "2013-10-01T22:02:10Z",
            "PMID": "",
            "PMCID": "",
            "ISSN": "0887-0624",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "",
            "libraryCatalog": "ACS Publications",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [],
            "collections": [
                "MEH3J9JW"
            ],
            "relations": {},
            "dateAdded": "2013-10-01T22:02:10Z",
            "dateModified": "2013-10-01T22:02:10Z"
        }
    }
]