Abstract
This paper presents electrical energy forecasting from near shore wave potential in the Gulf of Thailand using an empirical model. An electric generator was installed on the near shore to perform measurements and create an empirical model for predicting electric generation. In order to forecast the capacity of the electric generation from sea waves with sufficient electricity consumption, the household data in the Gulf of Thailand and the Andaman Sea were collected from the year 2012-2019 to forecast the increasing rate of the number of households in the five years period (2021-2025). Cost and payback period were analyzed in each location in order to invest the renewable energy generation.
| Original language | English |
|---|---|
| Pages (from-to) | 1293-1306 |
| Number of pages | 14 |
| Journal | Journal of Applied Engineering Science |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Andaman Sea
- Gulf of Thailand
- electrical energy forecasting
- electricity consumption
- empirical model
- sea waves
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