Municipal solid waste conversion to transportation fuels: a life-cycle estimation of global warming potential and energy consumption

Pressley, Phillip N.; Aziz, Tarek N.; DeCarolis, Joseph F.; Barlaz, Morton A.; He, Feng; Li, Fanxing; Damgaard, Anders

doi:10.1016/j.jclepro.2014.02.041

Cited by 53 publications

(26 citation statements)

References 29 publications

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“…coal, biomass or fuel from waste RDF) combinated with a gas turbine systems or even implementing more efficient gas power associations of circulating steam power plants i.e. IGGC [2,3,4]. In the practical application of cogeneration, small power can successfully provide a source of energy for the industrial plant and for small towns and villages.…”

Section: Introductionmentioning

confidence: 99%

Methane rich gasification of wood pellets

Joka

Poskrobko

2016

E3S Web Conf.

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Abstract. In the work there are shown the results of experimental studies on methane rich gasification of pinewood pellets in Bio-CONOx technology. The experiment was carried out on a laboratory scale gasifier (5 kW), which design features allow producing a high quality gas with a high methane content. In the results there was identified the impact of the quantity of Bio-CONOx on the amount of flammable gas compounds (methane, hydrogen and carbon monoxide) in the synthesis gas and the gas calorific value. The additive was added in 10,20,30 and 50% concentrations to the gasifier chamber. It has been shown that increasing the amount of the additive has a positive effect on the calorific value of the synthesis gas ( Fig.1,2). Gas with a high content of methane (and high calorific value) was obtained from gasification of biomass with a 50% addition of Bio-CONOx. There was also examined the proportion of blowing air (gasifying medium) for which the properties of obtained syngas were the best.

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Section: Introductionmentioning

confidence: 99%

Methane rich gasification of wood pellets

Joka

Poskrobko

2016

E3S Web Conf.

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“…(2) The bottom-up approach primarily includes MARKAL, MES-SAGE, EFOM, LEAP model, and so on. For example, Pressley et al (2014) utilized a life cycle assessment methodology to evaluate the conversion of U.S. municipal solid waste to liquid transportation fuels via gasification and Fischer-Tropsch. Contreras, et al (2009) analyzed the change in hydrogen energy vehicles' market share in road traffic using the MAR-KAL model.…”

Section: Introductionmentioning

confidence: 99%

A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO 2 emissions: A case study of Beijing

et al. 2015

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The creation of a Beijing urban transport carbon model using system dynamics. The effect of different policies on energy conservation and emission reductions. The cumulative effect of different individual policies. The optimal sequence of individual policy implementation in comprehensive policy. a b s t r a c tWith the accelerating process of urbanization, developing countries are facing growing pressure to pursue energy savings and emission reductions, especially in urban passenger transport. In this paper, we built a Beijing urban passenger transport carbon model, including an economy subsystem, population subsystem, transport subsystem, and energy consumption and CO 2 emissions subsystem using System Dynamics. Furthermore, we constructed a variety of policy scenarios based on management experience in Beijing. The analysis showed that priority to the development of public transport (PDPT) could significantly increase the proportion of public transport locally and would be helpful in pursuing energy savings and emission reductions as well. Travel demand management (TDM) had a distinctive effect on energy savings and emission reductions in the short term, while technical progress (TP) was more conducive to realizing emission reduction targets. Administrative rules and regulations management (ARM) had the best overall effect of the individual policies on both energy savings and emission reductions. However, the effect of comprehensive policy (CP) was better than any of the individual policies pursued separately. Furthermore, the optimal implementation sequence of each individual policy in CP was TP-PDPT-TDM-ARM.

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“…LCA has previously been used to assess waste to energy treatments of MSW, accounting from the collection processes to electricity generation (Astrup et al, 2014;Consonni et al, 2005;Evangelisti et al, 2014). However, relatively few studies have been published on the life cycle assessment of advanced thermal treatments for MSW (Al-Salem et al, 2014;Khoo, 2009;Pressley et al, 2014;Zaman, 2013). Moreover, the majority of these studies are comparative LCA where the advanced thermal treatment is evaluated against more traditional technologies, rather than pure attributional LCA studies which give full understanding of a specific technology (Al-Salem et al, 2014;Khoo, 2009;Zaman, 2013).…”

Section: Introductionmentioning

confidence: 99%