Abstract
Solar photovoltaics (PV) continues to grow rapidly across the world and now accounts for a very considerable proportion of all non-fossil-fuel electricity. With the continuing urgency of greenhouse gas abatement, the growth of solar PV is inevitable. Competition with other land uses and the desire to optimize the efficiency of the panels by making use of water cooling are compelling arguments for offshore floating PV (OFPV), a trend that could also benefit from the existing infrastructure recently built for offshore wind farms. Building on our earlier work, we present a larger dataset (n = 82) located around the globe to assess global yield (dis)advantages while also accounting for a modified form of water cooling of the offshore panels. Using our results regarding the Köppen–Geiger (KG) classification system and using a statistical learning method, we demonstrate that the KG climate classification system has limited validity in predicting the likely gains from OFPV. Finally, we also explore a small subset of sites to demonstrate that economics, alongside geography and technology, impacts the feasibility of locating PV panels offshore.
| Original language | English |
|---|---|
| Article number | 1131 |
| Pages (from-to) | 1-24 |
| Number of pages | 24 |
| Journal | Energies |
| Volume | 17 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Mar 2024 |
Bibliographical note
Publisher Copyright:© 2024 by the authors.
Funding
This work is partly financially supported by the Netherlands Enterprise Agency (RVO) within the framework of the Dutch Topsector Energy (projects Comparative assessment of PV at Sea versus PV on Land, CSEALAND, and North Sea Two, NS2).
| Funders |
|---|
| Rijksdienst voor Ondernemend Nederland |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
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SDG 15 Life on Land
Keywords
- K-means methods
- climate classification
- energy economics
- solar PV
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