2016
DOI: 10.1016/j.biombioe.2016.01.005
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Biogas infrastructures from farm to regional scale, prospects of biogas transport grids

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Cited by 52 publications
(44 citation statements)
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“…The configuration comprises digester capacities (m 3 h -1 ), length of the pipeline segments (km), diameters of pipeline segments (m), and pressures (MPa) at the digester sites. The assumptions and method to calculate biogas transport costs in a pipeline are similar to those used in previous studies 1,7 and intended for an agricultural region in the Netherlands. The volume of a gas is measured in m 3 at standard conditions (temperature 273.15 K and absolute pressure 0.101325 MPa).…”
Section: The Biogas Transport Modelmentioning
confidence: 99%
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“…The configuration comprises digester capacities (m 3 h -1 ), length of the pipeline segments (km), diameters of pipeline segments (m), and pressures (MPa) at the digester sites. The assumptions and method to calculate biogas transport costs in a pipeline are similar to those used in previous studies 1,7 and intended for an agricultural region in the Netherlands. The volume of a gas is measured in m 3 at standard conditions (temperature 273.15 K and absolute pressure 0.101325 MPa).…”
Section: The Biogas Transport Modelmentioning
confidence: 99%
“…T n and P n are the standard conditions of temperature and pressure; T is assumed to be 288.15 K. 7 The formula shows that the line-pack storage volume depends roughly on the volume V 0 of the pipeline segments in the grid and on the difference in mean absolute pressure, P storage = P m_lp − P m¯t , between the transport-and-storage conditions and the transport-only conditions for each pipeline segment as K m¯lp ≈ K m¯t . P m¯lp (Pa) and P m¯t (Pa) are the mean pressures in the pipeline segment for the linepack condition and the transport-only condition respectively, while K m¯lp (-) and K m¯t (-) are the gas law deviation coefficients for these two conditions.…”
Section: Modeling Line-pack Storagementioning
confidence: 99%
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“…With regional database and risk management consideration, Chauhan and Saini (2016) applied discrete harmony search algorithm to optimise the integrated renewable energy system (with incorporation of biogas production) for Indian rural community. For supporting the development of decentralised biogas system, financial-oriented optimisation of biogas delivery grid for integrating AD systems in different zones was conducted in the Netherlands (Hengeveld et al, 2016). In Turkey, multi-objective mixed integer linear programming (MILP) approach was applied to optimise biogas-based district heating system with thermal storage technology (Balaman and Selim, 2016).…”
Section: Introductionmentioning
confidence: 99%