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The Costs of Decarbonisation: System Costs with High Shares of Nuclear and Renewables -Impact from updated cost assumptions
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (IRES-Integration of Renewable Energy Sources)ORCID iD: 0000-0002-8189-2420
2019 (English)Report (Other academic)
Abstract [en]

The aim of this study is to perform a sensitivity analysis concerning impact from assumed investment costs of the NEA/OECD report “The Costs of Decarbonisation: System Costs with High Shares of Nuclear and Renewables” from 2019. A study of this type, i.e. technical-economic analysis, has a set-up as: [input data] => [simulation method]  => [output results]. The output results then completely depend on used input data and simulation method. The question is then what happens with other types of data assumptions.

The aim is to study the changes from assumed investment and O&M costs, since the main ones used in the report are not reflective of neither actual, nor forecasted costs.

We will start the analysis by trying to duplicate the results of the original NEA/OECD report in order to ensure our methodology is consistent with theirs. This is a challenge as their data and methodology is semi-transparent and not clearly defined. However, the central data, as total cost, can be replicated. Here in Chapter 3 we summarize their data and results. In Chapter 4 we then try to duplicate their methodology and results and compare it to the NEA/OECD results, in particular the total costs for their different cases. The more up to date and forecasted investment and O&M costs data is presented in Chapter 5.  Chapter 6 gives the results of applying these data sets and compares and contrasts it with the NEA/OECD results. References are found in chapter 7. The summary of the findings is found in chapter 2.

All calculations are done within Excel, and the program can be downloaded.

Place, publisher, year, edition, pages
Stockholm, 2019. , p. 28
National Category
Engineering and Technology
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-251689OAI: oai:DiVA.org:kth-251689DiVA, id: diva2:1316503
Note

QC 20190520

Available from: 2019-05-19 Created: 2019-05-19 Last updated: 2019-05-20Bibliographically approved

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Excel calculations(37 kB)16 downloads
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CiteExportLink to record
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