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Volume 14
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10.3390/en14010088
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Article
Peer-Review Record

Day-Ahead Market Modelling of Large-Scale Highly-Renewable Multi-Energy Systems: Analysis of the North Sea Region towards 2050

Energies 2021, 14(1), 88; https://doi.org/10.3390/en14010088
by Juan Gea-Bermúdez 1,*, Kaushik Das 2, Hardi Koduvere 3 and Matti Juhani Koivisto 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Energies 2021, 14(1), 88; https://doi.org/10.3390/en14010088
Submission received: 9 November 2020 / Revised: 15 December 2020 / Accepted: 16 December 2020 / Published: 25 December 2020
(This article belongs to the Special Issue Transition of Renewable Energy Policy: What Energy Markets Can and Cannot Solve)

Round 1

Reviewer 1 Report

Notes (editorial):
- in the caption Table 1 could appear the main theme, which links the items quoted in the table
- when presenting mathematical formulas (1-9), a short commentary explaining them would be useful (the symbols are not clear, there is even no information in the body of the article that the symbols are explained at the end of the article), the authors may consider limiting the presentation of the formulas if they refer here to one item of literature (27)
- what do the values on the horizontal axis of the graph in Fig.4 mean?
- no explanation of the units of values from Table 4
- the readers would be interested in a short conclusion (in Conclusions section) what may result from the presented case "North Sea Region" for other regions of the world
- incomplete information about items in the bibliography: 2, 25

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

The study "Day-ahead market modelling of large-scale highly-renewable multi-energy systems: analysis of the North Sea region towards 2050" presents an empirical application to simulate day-ahead markets of large-scale multi-source with emphasis on non-dispatchable renewable sources. 

Though the main topic of the paper is the mathematical model, it seems that the core of the analysis is based on a previous study of the majority of the authors (reference 27). The novelty of the paper is limited by this fact.

Regarding the Case study, it is not clear why costs and prices are in 2012 euros. Why using this base year? It is also not clear the planned storage use shown in the section "5.1.2 Planned Storage Use". Why not considering other storage systems for 2050?

In "Section 5.2.3.Hourly electricity balance" it is not clear how the demand profile is built. The demand has a great influence on the electricity price (dual variable). Is it an exogenous profile? Please clarify. 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

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