Role of power-to-gas in an integrated gas and electricity system in Great Britain

Qadrdan, Meysam; Abeysekera, Muditha; Chaudry, Modassar; Wu, Jianzhong; Jenkins, Nick

doi:10.1016/j.ijhydene.2015.03.004

Cited by 264 publications

(116 citation statements)

References 6 publications

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“…Barton and Gammon (2010) [43] UK; 2050; RE N/R Solar PV, solar thermal, tidal energy, wave energy, on/off-shore wind, biomass, waste, hydroelectricity H 2 for mobility, industry, power, gas grid injection and conversion to other fuels Process N/R; Capacities of 61.4 GW and 107.1 GW for "high renewable share" and "high nuclear share" scenarios, respectively N/A Jacobson et al (2011,(2013)(2014)(2015)(2016)(2017)(2018)) [44][45][46][47][48][49][50][51] California, New York, and Washington states, USA; All USA; World; 2050; 100% RE On/off-shore wind, hydropower, CSP, geothermal, solar PV, tidal, wave H 2 for ground, sea and air transportation; industrial and building heat generation Process and capacity N/R; 70% efficiency N/A Gutiérrez-Martín and Guerrero-Hernández (2012) [52] Spain; 2011-2020; 42% RE Wind, solar thermal, solar PV, hydroelectricity, nuclear H 2 for mobility or power (peak shaving) 53 nos. 50 [58] Spain; Timeline N/R; 31% RE Wind, solar thermal, solar PV, hydroelectricity, nuclear H 2 potentially for heating, power, synthetic fuel production or gas grid injection 300 nos 50 MW AEL (efficiency calculated) N/A Clegg and Mancarella (2015) [59] UK; 2030; 48% RE Wind H 2 and SNG for gas grid injection Process and capacity N/R; 73% efficiency Process N/R; 73% power-to-H 2 and 64% power-to-SNG efficiencies; CO 2 source N/R Qadrdan et al (2015) [60] UK; 2020; RE N/R Wind H 2 for gas grid injection Process N/R;~5-12 GW capacity; 70% efficiency N/A Ahern et al (2015) [61] Republic of Ireland; 2030; RE N/R Wind SNG for transport Process and capacity N/R; 75% efficiency Biological; 80% efficiency; 60% power-to-SNG efficiency; Anaerobic digestion biogas-derived CO 2 Vandewalle et al (2015) [62] Belgium; Timeline N/R; 69-76% RE (wo/w PtG)…”

Section: Regional To National-scalementioning

confidence: 99%

A Review of Projected Power-to-Gas Deployment Scenarios

Eveloy

Gebreegziabher

2018

Energies

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Technical, economic and environmental assessments of projected power-to-gas (PtG) deployment scenarios at distributed-to national-scale are reviewed, as well as their extensions to nuclear-assisted renewable hydrogen. Their collective research trends, outcomes, challenges and limitations are highlighted, leading to suggested future work areas. These studies have focused on the conversion of excess wind and solar photovoltaic electricity in European-based energy systems using low-temperature electrolysis technologies. Synthetic natural gas, either solely or with hydrogen, has been the most frequent PtG product. However, the spectrum of possible deployment scenarios has been incompletely explored to date, in terms of geographical/sectorial application environment, electricity generation technology, and PtG processes, products and their end-uses to meet a given energy system demand portfolio. Suggested areas of focus include PtG deployment scenarios: (i) incorporating concentrated solar-and/or hybrid renewable generation technologies; (ii) for energy systems facing high cooling and/or water desalination/treatment demands; (iii) employing high-temperature and/or hybrid hydrogen production processes; and (iv) involving PtG material/energy integrations with other installations/sectors. In terms of PtG deployment simulation, suggested areas include the use of dynamic and load/utilization factor-dependent performance characteristics, dynamic commodity prices, more systematic comparisons between power-to-what potential deployment options and between product end-uses, more holistic performance criteria, and formal optimizations.

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Section: Regional To National-scalementioning

confidence: 99%

A Review of Projected Power-to-Gas Deployment Scenarios

Eveloy

Gebreegziabher

2018

Energies

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“…Then, h G (*) can be calculated by (4), and the effect of the gas price on the dispatch of gas turbines is reflected in the model because the bidding curve is a factor in electricity network dispatching.…”

Section: Objective Functionmentioning

confidence: 99%

“…In a traditional energy system, the interaction between a natural gas network and an electricity network can be implemented only via gas turbines. However, with the maturity of P2G technology [4][5][6], it becomes possible to achieve bidirectional energy flow between an electricity network and a natural gas network. Based on P2G technology, surplus electricity generated from renewable energy can be converted into natural gas or hydrogen that can be stored afterwards in the natural gas pipeline network or storage devices.…”

Section: Introductionmentioning

confidence: 99%

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Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded

Chen

Zhang

et al. 2017

J. Mod. Power Syst. Clean Energy

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As power to gas (P2G) technology gradually matures, the coupling between electricity networks and natural gas networks should ideally evolve synergistically. With the intent of characterizing market behaviors of integrated electric power and natural gas networks (IPGNs) with P2G facilities, this paper establishes a steady-state model of P2G and constructs optimal dispatch models of an electricity network and a natural gas network separately. In addition, a concept of slack energy flow (SEF) is proposed as a tool for coordinated optimal dispatch between the two networks. To study how the market pricing mechanism affects coordinated optimal dispatch in an IPGN, a market equilibrium-solving model for an IPGN is constructed according to game theory, with a solution based on the Nikaido-Isoda function. Case studies are conducted on a joint model that combines the modified IEEE 118-node electricity network and the Belgian 20-node gas network. The results show that if the game between an electric power company and a natural gas company reaches market equilibrium, not only can both companies maximize their profits, but also the coordinated operation of the coupling units, i.e., gas turbines and P2G facilities, will contribute more to renewable energy utilization and carbon emission reduction.Keywords Integrated electric power and natural gas networks (IPGNs), Market equilibrium, Power to gas (P2G), Slack energy flow (SEF)

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“…In order to describe behaviours of the whole system, both network and coupling unit models are required for simulating the system. As one of the main energy networks in urban areas, network analysis in steady states [6,19,20]. The dynamics of gas-fired generator and how they affect the interactions between the two networks are not well explored.…”

Section: Introductionmentioning

confidence: 99%

Identification of microturbine model for long-term dynamic analysis of distribution networks

et al. 2017

Applied Energy

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As one of the most successfully commercialized distributed energy resources, the long-term effects of microturbines (MTs) on the distribution network has not been fully investigated due to the complex thermo-fluid-mechanical energy conversion processes. This is further complicated by the fact that the parameter and internal data of MTs are not always available to the electric utility, due to different ownerships and confidentiality concerns. To address this issue, a general modelling approach for MTs is proposed in this paper, which allows for the long-term simulation of the distribution network with multiple MTs. First, the feasibility of deriving a simplified MT model for long-term dynamic analysis of the distribution network is discussed, based on the physical understanding of dynamic processes that occurred within MTs. Then a three-stage identification method is developed in order to obtain a piecewise MT model and predict electro-mechanical system behaviours with saturation. Next, assisted with the electric power flow calculation tool, a fast simulation methodology is proposed to evaluate the long-term impact of multiple MTs on the distribution network. Finally, the model is verified by using Capstone C30 microturbine experiments, and further applied to the dynamic simulation of a modified IEEE 37-node test feeder with promising results.

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Role of power-to-gas in an integrated gas and electricity system in Great Britain

Cited by 264 publications

References 6 publications

A Review of Projected Power-to-Gas Deployment Scenarios

A Review of Projected Power-to-Gas Deployment Scenarios

Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded

Identification of microturbine model for long-term dynamic analysis of distribution networks

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