Optimal Use of Power-to-Gas Energy Storage Systems in an 85% Renewable Energy Scenario

Jentsch, Mareike; Trost, Tobias; Sterner, Michael

doi:10.1016/j.egypro.2014.01.180

Cited by 233 publications

(103 citation statements)

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“…On the demand side, more flexible pricing schemes could also integrate renewables (Dupont et al, 2014). Likewise, storage and power-to-gas technologies have been explored to increase flexibility (Jentsch et al, 2014;Schill and Kemfert, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

How much is enough? Optimal support payments in a renewable-rich power system

Rintamäki

Siddiqui

Salo

2016

Energy

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The large-scale deployment of intermittent renewable energy sources may cause substantial power imbalance. Together with the transmission grid congestion caused by the remoteness of these sources from load centers, this creates a need for fast-adjusting conventional capacity such as gas-fired plants. However, these plants have become unprofitable because of lower power prices due to the zero marginal costs of renewables. Consequently, policymakers are proposing new measures for mitigating balancing costs and securing supply. In this paper, we take the perspective of the regulator to assess the effectiveness of support payments to flexible generators. Using data on the German power system, we implement a bi-level programming model, which shows that such payments for gas-fired plants in southern Germany reduce balancing costs and can be used as part of policy to integrate renewable energy.

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Section: Literature Reviewmentioning

confidence: 99%

How much is enough? Optimal support payments in a renewable-rich power system

Rintamäki

Siddiqui

Salo

2016

Energy

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“…In net power generation, 43% and 53% of renewables are expected by 2030 and 2050, including 36% of wind and solar combined in 2050 [4]. Other energy scenarios and roadmaps, such as [102], assume 100% renewable energy generation by 2050, and it is also anticipated that this may be achieved earlier [54].…”

Section: European Unionmentioning

confidence: 99%

“…Jentsch et al [54] performed a scenario-based analysis to determine both the economically optimum PtG capacity and spatial deployment technology option in Germany's energy mix, assuming 85% renewable intervention (i.e., wind, solar PV, biogas, run-of-river hydroelectricity, geothermal), with no timeline specified. PtG, PtH and short-term energy storage systems were compared in terms of their effectiveness in storing excess electricity.…”

Section: Germanymentioning

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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“…This is because P2G facilities' reserve constraint is considered in the electricity dispatch model to cope with load prediction errors and wind energy fluctuations. Moreover, during this period, the coal-fired power generators are arranged to generate electricity with their minimum output, and the low-cost wind power is provided to To N.x : gas is supplied to the x th node of the IEEE 118-node electric network Source x: P2G facility connected to the x th node of the IEEE 118-node electric network To N. 8 To P2G gas Conventional gas source;…”

Section: Market Equilibrium State Of Ipgnmentioning

confidence: 99%

“…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. It provides a new solution to renewable energy accommodation [7,8]. In addition, P2G technology can also convert electricity into natural gas at times of electric transmission congestion, where the gas is transmitted through natural gas pipelines to gas turbines out of the congested area for electricity generation.…”

Section: Introductionmentioning

confidence: 99%

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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Optimal Use of Power-to-Gas Energy Storage Systems in an 85% Renewable Energy Scenario

Cited by 233 publications

References 1 publication

How much is enough? Optimal support payments in a renewable-rich power system

How much is enough? Optimal support payments in a renewable-rich power system

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

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