Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon

Gea-Bermúdez, Juan; Pade, Lise-Lotte; Koivisto, Matti; Ravn, Hans F.

doi:10.1016/j.energy.2019.116512

Cited by 59 publications

(77 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The geographical resolution is illustrated in Figure 1. Inspired from [27], the modelling of solar PV and wind technologies is based on resource grades (RG) to represent that wind and solar resources are not uniform inside each modelled region. Detailed description of this modelling, as well as other technologies can be found in Appendix A.…”

Section: General Descriptionmentioning

confidence: 99%

“…Due to the complexity of the optimisation, a reduced amount of time steps (in this case 16 spread-over-the-year weeks, taking Thursday, Friday, Saturday but only 1 every 3 hours) are selected using the approach described in [27]. To keep the annual statistical properties of the time series, these are scaled using the method described in [27], except for seasonal hydro inflow that is scaled linearly with respect to average annual inflow, and EV profiles, whose values correspond to the average of three-consecutive-hour time steps.…”

Section: Capacity Development Optimisationmentioning

confidence: 99%

“…The possibility to build meshed grids in the sea and hub connected offshore-wind farms is not considered in this paper. However, as shown in [27] and [40], meshed grids decrease costs and increase the value of offshore wind and transmission, which could influence sector coupling.…”

Section: Limitations Of the Modellingmentioning

confidence: 99%

See 2 more Smart Citations

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050

Bermúdez¹,

Münster²,

Jensen³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

<div>This paper analyses the role of sector coupling towards 2050 in the energy system of North Europe when pursuing the green transition. Impacts of restricted onshore wind potential and transmission expansion are considered. Optimisation of the capacity development and operation of the energy system towards 2050 is performed with the energy system model Balmorel. Generation, storage, transmission expansion, district heating, carbon capture and storage, and synthetic gas units compete with each other. The results show how sector coupling leads to a change of paradigm: The electricity system moves from a system where generation adapts to inflexible demand, to a system where flexible demand adapts to variable generation. Sector coupling increases electricity demand, variable renewable energy, heat storage, and electricity and district heating transmission expansion towards 2050. Allowing investments in onshore wind and electricity transmission reduces emissions and costs considerably (especially with high sector coupling) with savings of 78.7 EUR2016/person/year. Investments in electricity-to-heat units are key to reduce costs and emissions in the heat sector. The scenarios with the highest sector coupling achieve the highest emission reduction by 2045: 76% greenhouse gases reduction with respect to 1990 levels, which highlights the value of sector coupling to achieve the green transition.</div><div><br></div><div><br></div>

show abstract

Section: General Descriptionmentioning

confidence: 99%

Section: Capacity Development Optimisationmentioning

confidence: 99%

See 1 more Smart Citation

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050

Bermúdez¹,

Münster²,

Jensen³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The capacity development was highly influenced by the assumptions on increasing CO 2 EU ETS price: 5.93, 75.16, and 127.77 2015e /ton in 2020, 2030, and 2050 respectively. More details about the scenario can be read in [19], [20], and [21].…”

Section: Case Study: the North Sea Offshore Gridmentioning

confidence: 99%

Operational planning of large-scale energy systems with high share of renewable generation

Bermúdez¹,

Das²,

Koivisto³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

<div>This paper proposes a mathematical model to perform optimal operational planning of large-scale energy systems with high share of renewable energy. Furthermore, it analyses the influence of different unit commitment modelling approaches on the operational planning outcomes. The value of co-optimisation of electricity and heating sector is emphasized in this paper. The results show the influence of massive renewable penetration in the energy sector towards 2050, and how this influences generation from other sources such as thermal and hydro. Including unit commitment constraints with integer variables leads to more realistic behaviour of the units, at the cost of increasing considerably the computational time. Relaxing integer variables reduces significantly the computational time, without highly compromising the accuracy of the results. Neglecting the unit commitment constraints leads to inaccurate results in terms of underestimation of costs, curtailment, wind’s and solar PV’s average revenue per energy unit sold, price volatility, and to overestimation of the flexibility of thermal units. Hence, depending on the purpose of the analysis, it is recommended to consider carefully the choice of unit commitment modelling approach and acknowledge the limitations. When the focus is on prices and revenues, using unit commitment constraints with integer variables is preferable.</div>

show abstract

“…The capacity development ( Figure 2) was highly influenced by the assumptions on increasing CO 2 EU ETS price: 5.93, 75.16, and 127.77 2015e /ton in 2020, 2030, and 2050 respectively. More details about the scenario can be read in [30], [31], and [32].…”

Section: Case Study: the North Sea Offshore Gridmentioning

confidence: 99%

Day-ahead Market Modelling of Large-scale Highly-renewable Multi-energy Systems: Analysis of the North Sea Region Towards 2050

Gea-Bermúdez¹,

Das²,

Koduvere³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

This paper proposes a mathematical model to simulate Day-ahead markets of large-scale multi-energy systems with high share of renewable energy. Furthermore, it analyses the importance of including unit commitment when performing such analysis. The results of the case study, which is performed for the North Sea region, show the influence of massive renewable penetration in the energy sector and increasing electrification of the district heating sector towards 2050, and how this impacts the role of other energy sources such as thermal and hydro. The penetration of wind and solar is likely to challenge the need for balancing in the system as well as the profitability of thermal units. The degree of influence of the unit commitment approach is found to be dependent on the configuration of the energy system. Overall, including unit commitment constraints with integer variables leads to more realistic behaviour of the units, at the cost of increasing considerably the computational time. Relaxing integer variables reduces significantly the computational time, without highly compromising the accuracy of the results. The proposed model, together with the insights from the study case, can be specially useful for system operators for optimal operational planning.

show abstract

Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon

Cited by 59 publications

References 24 publications

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050

Operational planning of large-scale energy systems with high share of renewable generation

Day-ahead Market Modelling of Large-scale Highly-renewable Multi-energy Systems: Analysis of the North Sea Region Towards 2050

Contact Info

Product

Resources

About