Abstract:<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. T… Show more
“…Particularly, offshore grid modelling and data is explained in detail in section 2.1.3. A few updates to the data used in [7] have been made in this paper and are mentioned along this section.…”
Section: Methodology and Datamentioning
confidence: 99%
“…The European Commission is already prioritizing the development of a North Sea offshore grid [9], for it to contribute to achieving the European Union goals for 2030 and 2050 [10]. Gea-Bermúdez et al [7] investigated the influence of the grid architecture and planning horizon on the North Sea offshore grid, finding that offshore grids reduce system costs and that long-term planning is crucial to reduce costs and increase the integration of VRE, especially offshore wind. Konstantelos et al [11] also found that integrated offshore grids provide substantial net benefit over non-integrated networks.…”
<div>Offshore grids can have an important role in the transition of the energy system to sustainability. Although they require extensive infrastructure investments, they open up for the exploitation of a vast amount of additional resources and may be important to provide for part of the increasing electricity demand driven by sector coupling between the electricity, heat, and transport sectors. We show that the level of such sector coupling is decisive for the development of offshore grids. Performing energy system</div><div>optimization in a model application of the Northern-central European energy system and the North Sea offshore grid towards 2050, we find that without sector coupling no offshore grid may develop, and that the higher the level of sector coupling, the higher the value of offshore grids. The electrification of the transport sector favors offshore grid development more than the electrification of the heat sector. Offshore grid infrastructure development can therefore not be discussed as a separate political topic, but seen in</div><div>connection to sector coupling.</div>
“…Particularly, offshore grid modelling and data is explained in detail in section 2.1.3. A few updates to the data used in [7] have been made in this paper and are mentioned along this section.…”
Section: Methodology and Datamentioning
confidence: 99%
“…The European Commission is already prioritizing the development of a North Sea offshore grid [9], for it to contribute to achieving the European Union goals for 2030 and 2050 [10]. Gea-Bermúdez et al [7] investigated the influence of the grid architecture and planning horizon on the North Sea offshore grid, finding that offshore grids reduce system costs and that long-term planning is crucial to reduce costs and increase the integration of VRE, especially offshore wind. Konstantelos et al [11] also found that integrated offshore grids provide substantial net benefit over non-integrated networks.…”
<div>Offshore grids can have an important role in the transition of the energy system to sustainability. Although they require extensive infrastructure investments, they open up for the exploitation of a vast amount of additional resources and may be important to provide for part of the increasing electricity demand driven by sector coupling between the electricity, heat, and transport sectors. We show that the level of such sector coupling is decisive for the development of offshore grids. Performing energy system</div><div>optimization in a model application of the Northern-central European energy system and the North Sea offshore grid towards 2050, we find that without sector coupling no offshore grid may develop, and that the higher the level of sector coupling, the higher the value of offshore grids. The electrification of the transport sector favors offshore grid development more than the electrification of the heat sector. Offshore grid infrastructure development can therefore not be discussed as a separate political topic, but seen in</div><div>connection to sector coupling.</div>
“…These inputs include the cost of energy technologies, CO 2 taxes, fuel prices, future energy demand, and fuel potentials. An overview of the model and data used in this paper can be found here [31], although a few updates have been made for the purpose this paper, the main addition being the addition of six conventional onshore wind turbines and the LW turbines. Other data updates include energy efficiency assumptions and updated national onshore wind potentials.…”
Section: Input Data For Energy System Modelmentioning
This work is part of an ongoing study, creatively named the "LowWind Project", which is a collaborative effort between DTU and industry to design and eventually implement a 3.4 MW 100 W/m^2 low wind (LW) turbine with a hub height of 127.5 m, a rotor diameter of 208 m, and a cut-out wind speed of 13 m/s. This paper investigates at what price point this LW turbine becomes competitive in Northern and Central Europe's energy system, as well as what impact the introduction of this technology has on the system. Similarly, the impact system flexibility has on LW investment is also analysed by limiting future transmission investment. Furthermore, this paper also analyses the amount of revenue this LW technology could generate compared to conventional turbines to further investigate the business case for this technology. The main finding here is that this LW technology begins to see investment at a 45% price increase over a conventional onshore wind turbine with an equal hub height (127.5 m) and a smaller rotor diameter (142 m vs 208 m). The addition of LW technology also leads to a reduction in transmission investment, and similarly, reductions in transmission capacity lead to further investment in LW technology. Lastly, it is shown that in the future Northern and Central European energy system, in wind dominated areas such as Denmark, this LW technology could generate revenues that are more than 120% higher than conventional turbines (per MW), making the case that this technology could be a worthy endeavor.<br>
“…The optimisations and simulations, except for the VRE simulations, are performed with the energy system model Balmorel [24], an energy system tool, deterministic, open source [25], with a bottom-up approach. It has been traditionally used to model the electricity and district heating sectors, although it is being developed to increase its capabilities and include more sectors [26].…”
Section: Mathematical Modellingmentioning
confidence: 99%
“…Both of these aspects can be highly relevant for the correct operation of the system, especially towards 2050 with more VRE penetration. Furthermore, future research should also include stronger sector coupling, since it can influence considerably the generation of VRE technologies and the need for flexibility ([33], [23], [26]) .…”
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.
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