Journal of Natural Gas Science and Engineering 36 (2016) 496e509
Contents lists available at ScienceDirect
Journal of Natural Gas Science and Engineering
journal homepage: www.elsevier.com/locate/jngse
Performance analysis of liquefied natural gas storage tanks in refueling stations
Amir Sharafian, Omar E. Herrera, Walter Meacute;rida*
Clean Energy Research Centre, The University of British Columbia, 2360 East Mall, Vancouver, BC, V6T 1Z3, Canada
a r t i c l e i n f o
Article history:
Received 5 August 2016 Received in revised form 28 September 2016
Accepted 26 October 2016
Available online 28 October 2016
Keywords:
Liquefied natural gas Boil-off gas
Storage tank Holding time Refueling station
a b s t r a c t
Liquefied natural gas (LNG) could replace diesel in the transportation sector. However, fugitive emissions including boil-off gas (BOG) across the LNG supply chain have revealed uncertainties on the overall environmental benefits of such replacement. In this study, time-dependent thermodynamic models were developed to study the LNG holding time of storage tanks in refueling stations before BOG releases to the atmosphere. Previously overlooked factors, such as the thermal mass of storage tanks and the actual operating conditions at refueling stations, were included explicitly in the models. The effect of the
thermal mass of storage tanks on holding time is illustrated by an analysis of 57.20 m3 storage tanks filled
with LNG at —150 ○C and —126.5 ○C. The tank with the lower temperature fills shows 3.7-times longer holding time. Further investigations highlight the importance of the ratio of heat transfer surface area to the LNG volume as a key factor in proper sizing of storage tanks to maximize the holding time. Finally, the modeling of a 57.20 m3 storage tank with a heat transfer coefficient of 0.022 W/m2K shows that fuel delivery rates as low as 1.89 m3/day are sufficient to maintain the tank pressure within allowable limits.
copy; 2016 Elsevier B.V. All rights reserved.
- Introduction
Climate change is one of the main concerns of todays world (Richter, 2014), but greenhouse gas (GHG) emissions from indus- trial and transportation processes have steadily increased (Global greenhouse, 2016; Sources of greenhouse gas emissions, 2016; Liimatainen et al., 2014). For instance, the GHG emissions from the U.S. medium- and heavy-duty trucks increased by 76% between 1990 and 2014 and reached 407.4 Mt CO2,eq (Inventory of U.S., 2016). According to the announcements at the 21st Conference of Parties in Paris, mitigation of climate change and reaching the 2 ○C scenario targets would require immediate and significant changes over the next three decades (as opposed to changes occurring over centuries) (21st session of the Conference of the Parties et al., 2015). It has been claimed that replacing conventional petroleum fuels, e.g., diesel and gasoline, with low-carbon content fuels reduces GHG emissions and climate change (van Der Hoeven, 2015). Natural gas (NG) is considered a low-carbon content fuel (Van Den Broek et al., 2015) and several studies reported the benefits of NG on economic and market growth (Van Den Broek et al., 2015; Imran
* Corresponding author.
E-mail address: walter.merida@ubc.ca (W. Meacute;rida).
et al., 2016; Hao et al., 2016; Wang and Li, 2016; Furuoka, 2016; Balitskiy et al., 2016; Wang et al., 2016; Scedil; evik, 2015; Wang and Lin, 2014; Kakaee et al., 2014; Wang et al., 2014; Khan et al., 2015). However, and despite this significant body of work, recent studies revealed uncertainty in the overall benefits associated with NG use (Alvarez et al., 2012; Howarth et al., 2011; Venkatesh et al., 2011; Davis and Shearer, 2014; McJeon et al., 2014; Delgado and Muncrief, 2015). According to the Global Warming Potential (GWP), methane emissions contribute up to 72 times more to climate change than CO2 in a 20-year horizon (Solomon, 2007). Therefore, the reduction in CO2 emissions from NG use must be compared to the impact of the corresponding methane emissions. Without reliable data on the actual deployment technologies, most of the models and analyses comparing widespread NG use to the existing energy options will remain incomplete.
Liquefied natural gas (LNG) is the condensed form of natural gas with 60% volumetric energy density of diesel (Study on natural gas, 2014). The combustion of LNG in comparison with ultra-low sulfur diesel can reduce CO2, NOx, and particulate matter emissions by up to 20%, 90%, and 100%, respectively (International Gas Union, 2015). These features make LNG a candidate fuel in the transportation sector to reduce GHG emissions, especially for large, mobile ap- plications, such as heavy-duty trucks (Bassi,
根据Burnham等人(2015年)调查研究,液化天然气加气站的平均甲烷排放量约为LNG运输量的0.32%。
为了求解时间依赖的控制方程,在Aspen Plus Dynamics中选择了混合牛顿法。所有变量的相对误差差异,即密度,温度,压力和液体和蒸汽质量分数设定为10-4 at。
每个时间部分利用混合牛顿方法,使用牛顿法进行初始化和快速牛顿法进行动态迭代。 因此,它为大多数时间依赖模拟提供了快速迭代速度和高收敛速度。
在LNG基础设施中正确使用绝缘材料可以使对LNG的热传递最小化。在储罐中,与绝缘材料相比,金属壁的热阻可以忽略不计。由于绝热材料在侧壁、顶和侧板上的传热阻力被认为是并行的。
在具有高燃气输送率的LNG加气站中,Barclay等人研究发现。建议使用与传统绝缘材料绝缘的单壁水箱,并安装现场液化石气液化BOG。
储存在储罐中的液化天然气也会影响LNG储存时间和BOG生成速率。在低燃料吞吐量LNG加气站,一种措施是利用只剩下一半的储罐来增加LNG储存时间。
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