# Techno-economic data and assumptions for open energy modelling of decarbonisation pathways in the Philippines

**Authors:** L. Dixon, R. Yeganyan, C. Cannone, M. Howells, V. Foster, F.A. Plazas-Niño

PMC · DOI: 10.1016/j.dib.2024.110459 · Data in Brief · 2024-04-20

## TL;DR

This paper presents a publicly available dataset to help model decarbonization in the Philippines' energy system, including historical and projected data on electricity demand and renewable energy potential.

## Contribution

The novel contribution is a standardized, open-access dataset tailored for energy system modeling in the Philippines, compatible with OSeMOSYS and aligned with U4RIA principles.

## Key findings

- The dataset includes power plant data, historical generation data, and electricity demand projections from 2015 to 2050.
- Technical potential estimates for fossil fuels and renewables, along with parameters for emerging technologies like floating solar PV and offshore wind, are provided.
- The dataset is freely accessible on Zenodo, promoting collaborative energy modeling and informed decision-making.

## Abstract

This article introduces an openly accessible dataset aimed at supporting energy system modelling of decarbonisation pathways in the Philippines. The dataset was compiled through an extensive literature review, incorporating information from various sources such as the Philippines Department of Energy, academic publications, and international organisations. To ensure compatibility with OSeMOSYS modelling requirements, the data underwent processing and standardisation. It includes power plant data covering existing capacity from classified by grid, off-grid, and planned additions, as well as historical generation data. Additionally, the dataset provides historical and projected electricity demand from 2015 to 2050 segmented by sectors. It also offers technical potential estimates for fossil fuels and renewable energy sources, along with key techno-economic parameters for emerging technologies like floating solar PV, in-stream tidal, and offshore wind. The dataset is freely available on Zenodo, empowering researchers, policymakers, and private-sector actors to conduct independent energy modelling and analyses aligned with the U4RIA framework principles. Its open access encourages collaboration and facilitates informed decision-making to advance a sustainable energy future not only for the Philippines but also for broader global contexts.

## Full-text entities

- **Chemicals:** Gas (MESH:D005708)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

13 references — full list in the complete paper: https://tomesphere.com/paper/PMC11106827/full.md

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Source: https://tomesphere.com/paper/PMC11106827