Novel method for targeting the optimal purification feed flow rate of hydrogen network with purification reuse/recycle

Abstract

in Wiley Online Library (wileyonlinelibrary.com).The purification reuse/recycle is one effective resource conservation strategy. In this article, a novel conceptual method is proposed to identify the optimal purification feed flow rate (PFFR) and the corresponding maximum hydrogen utility savings (HUS) of the hydrogen network with purification reuse/recycle. In this method, the sources and sink-tie-lines are divided into three regions according to the purified product and purification feed. The quantitative relationship between the HUS and the PFFR is analyzed for the sink-tie-lines and sources of each region. With the quantitative relationship line between the HUS and the PFFR of each source plotted, the quantitative relationship diagram can be obtained and can be used to identify the pinch point and the HUS for a given PFFR. Furthermore, the optimal PFFR and the maximum HUS can be identified easily. Three cases are studied to illustrate the applicability of the proposed method.

Relative concentration based pinch analysis for targeting and design of hydrogen and water networks with single contaminant

“…18 (Almutlaq et al, 2005;Liu et al, 2013a;Liu et al, 2013b;Yang et al, 2014a;Zhang et al, 2011;Zhao et al, 2006), the same hydrogen sources and sinks are performed by total flow rate and absolute hydrogen/contaminantconcentration. When designing the hydrogen network,the total flow rate of each sink must be satisfied.…”

“…Zhang et al (2011)proposeda novel pinch analysis based on coupling mass triangle rule of purification reuse and Material Recovery Pinch Diagram(MRPD), and further considered the separation performance of purifiers (Zhang et al, 2014), so as to minimize the fresh hydrogen consumption and design the corresponding network. Afterwards, Liu et al (2013b)studied the integration of hydrogen network with purification reuse on targeting the maximumpurification feed flow rate,as well as the optimal one (Liu et al, 2013a), to reveal the relationship between fresh hydrogen consumption and purification performance. By taking different types of purifier into consideration, Lou et al (2013) developed a pinch sliding graphical solution to identify the target of hydrogen and water networks with purification/regeneration reuse.…”

Improved Problem Table for Targeting Hydrogen Network with Single Intermediate Header

“…The method of Zhang et al (2011) was then further extended and improved considerably, i.e., identify the maximum hydrogen savings potential with the constraints of concentration and flowrate on purifier (Yang et al 2014b), determine the minimum flowrates of the feed and tail gas for the purifier (Yang et al 2014a), optimize both purity and flowrate of the feed and output streams of the purifier (Zhang et al 2014), algebraic approach , replacing traditional total flowrate and absolute concentration constraints with hydrogen load and relative concentration (Zhang et al 2016). Liu et al (2013) developed a graphical method on the basis of the Hydrogen Surplus Diagram (Alves and Towler 2002) to identify the upper bound for the feed flowrate of the purification unit. This method was then extended to determine the optimal purification feed flowrates and the maximum reduction in the hydrogen utility flowrate (Liu et al 2013).…”

“…Liu et al (2013) developed a graphical method on the basis of the Hydrogen Surplus Diagram (Alves and Towler 2002) to identify the upper bound for the feed flowrate of the purification unit. This method was then extended to determine the optimal purification feed flowrates and the maximum reduction in the hydrogen utility flowrate (Liu et al 2013). Liao and coworkers firstly presented the optimal conditions for flowrate targeting of hydrogen networks with direct reuse (Liao et al 2011a) and with one purifier (Liao et al 2011b).…”

A Graphical Method for Hydrogen Network Integration with Purification Reuse

“…In such diagram, water regeneration and hydrogen purification can be taken into consideration to get further reduction of fresh resources. Afterward, the integration of hydrogen networks with purification reuse on optimizing the purification feed flow rate, as well as purification feed and product purities (Liu et al, 2012(Liu et al, , 2013 are studied to reveal the relationship between fresh hydrogen consumption and purification performance. By taking different types of purifiers into consideration, a pinch sliding graphical solution (Lou et al, 2013) is developed to identify the target of both hydrogen and water networks with purification/regeneration reuse.…”