Thailand-s-Decarbonization-Journey-1995-2024

🌏 Thailand’s Decarbonization Journey (1995-2024)

A data-driven deep dive into ASEAN’s energy transition.

Tech Stack: SQL (Window Functions) | Power BI | Sustainability Engineering

📑 Table of Contents

Project Abstract
Introduction & Motivation
Data Infrastructure
Exploratory Data Analysis
Strategic Insights & Discussion
Recommendations & Action Plan
Expected Outcomes
Conclusion

1. Project Abstract

This analysis summarizes CO₂ emission trends over a 29-year period (1995–2024) to evaluate Thailand’s progress toward its 2065 Net Zero target (Ref: Thailand’s LT-LEDS). By benchmarking national data against regional peers—Indonesia and Vietnam—this work identifies the key factors and structural challenges involved in the transition to cleaner energy sources.

2. Introduction & Motivation

The primary goal is to examine the relationship between economic growth and environmental impact. The analysis focuses on Thailand’s Energy Mix and its long-term reliance on fossil fuels. By processing three decades of historical data, this study transforms statistical metrics into a clear overview of the country’s current energy trajectory and future outlook.

3. Data Infrastructure

A structured pipeline ensures data integrity and a “Single Source of Truth”:

Workflow: [Data Source] → [SQL] → [Power BI] → [Strategic Roadmap]

Source: Global CO₂ Emissions Dataset (1950–2024) curated by Luca Lullo via Kaggle, originally sourced from Our World in Data (OWID).
SQL: Data cleaning, regional filtering (TH, ID, VN), and YoY calculations.
Power BI: Interactive dashboards for trend analysis and strategic insights.
Domain Expertise: Sustainability Engineering principles for data validation.

4. Exploratory Data Analysis

Pillar 1: The ASEAN Showdown (CO₂ per Capita)

Comparison of carbon intensity between regional peers to evaluate “Carbon Fairness” relative to population size.

Key Insight: Thailand maintains a consistently higher emission rate per person compared to Vietnam, highlighting a more carbon-intensive energy infrastructure.

Pillar 2: Thailand’s Energy Mix (1995–2024)

An analysis of fuel source distribution over three decades, identifying the core dependencies within Thailand’s power sector.

Key Insight: Fossil fuels remain the dominant energy source, with a heavy reliance on Natural Gas. While Renewables show growth, the pace is currently insufficient to meet the aggressive 2065 Net Zero timeline.

Pillar 3: Fossil Fuel Persistence vs. Renewable Growth

A direct comparison between traditional energy reliance and the expansion of clean energy initiatives.

Key Insight: Despite increasing investment in solar and wind, the sheer scale of fossil fuel consumption continues to create a “Carbon Lock-in” effect (Ref: Environmental Economics Framework) that complicates the rapid transition.

Pillar 4: Economic Growth vs. Emission Intensity

This pillar examines the “Decoupling” effect—determining whether Thailand can grow its GDP without a proportional increase in CO₂ emissions.

Key Insight: While Thailand shows signs of relative decoupling, the correlation remains strong. Achieving absolute decoupling requires a more aggressive shift in industrial efficiency and low-carbon investment.

5. Strategic Insights & Discussion

To prepare the dataset for visualization, Window Functions were utilized to calculate year-over-year (YoY) growth and regional rankings directly within the SQL layer.

/* Calculating Year-over-Year (YoY) Growth for CO2 Emissions using Window Functions (LAG) */

WITH CarbonData AS (
    SELECT 
        country, 
        year, 
        co2,
        -- Fetch previous year's CO2 value
        LAG(co2) OVER (PARTITION BY country ORDER BY year) AS prev_year_co2
    FROM co2_emission_1950_2024
    WHERE country IN ('Thailand', 'Indonesia', 'Vietnam')
)
SELECT 
    country, 
    year, 
    co2,
    -- Calculation: ((Current - Previous) / Previous) * 100
    ROUND(((co2 - prev_year_co2) / NULLIF(prev_year_co2, 0)) * 100, 2) AS yoy_growth_percent
FROM CarbonData
WHERE year BETWEEN 1995 AND 2024;

Key Insight: Handling data logic at the SQL level ensures high performance in Power BI, allowing for seamless filtering across three decades of historical data.

6. Recommendations & Action Plan

Based on the data trends, three strategic pillars are essential for Thailand to bridge the gap toward Net Zero 2065:

Accelerating Renewable Integration: Beyond solar and wind, focus must shift toward Grid Modernization and energy storage to manage the intermittency of clean energy.
Enhancing Energy Efficiency: Decoupling GDP from emissions requires deep-tier industrial efficiency upgrades and a shift toward a circular economy model.
Policy & Carbon Pricing: Implementing carbon taxation or trading schemes will be the “Final Boss” in disincentivizing fossil fuel reliance and attracting low-carbon investment.

Strategy	Action Plan	Expected Impact
Grid Modernization	Implement Smart Grid & ESS (Energy Storage)	Reduce intermittency of Renewables
Industrial Efficiency	Deploy AI-driven energy monitoring systems	Absolute decoupling of GDP and Emissions
Carbon Market	Finalize Thailand’s Emission Trading System (ETS)	Accelerate low-carbon investment

7. Expected Outcomes

Data-Driven Policy Support: Providing a clear baseline for carbon reduction targets.
Public Awareness: Visualizing the urgency of the energy transition for stakeholders.
Methodological Framework: A scalable SQL-to-Power BI pipeline for ESG reporting.

8. Conclusion

Thailand stands at a critical crossroads. While the transition to a low-carbon economy is underway, the data suggests that current efforts must be doubled to meet the 2065 Net Zero commitment. This analysis serves as both a progress report and a call to action for systemic change in our energy infrastructure.

📚 References & Data Sources

Lullo, L. (2024). Global CO₂ Emissions (1950-2024) via Kaggle.
Our World in Data. CO₂ and GHG Emissions Database. Source.
Official Policy. Thailand’s Long-term Low GHG Emission Development Strategy (LT-LEDS).