Adam
Dandi
ADAMS PROJECT

Building Energy Consumption Analysis

Completion

September 25, 2024

Optimizing Building Energy Efficiency Across Indonesia

This project analyzed energy consumption patterns across various building types managed by ABC to identify key factors influencing energy usage and provide data-driven recommendations for optimizing energy efficiency and reducing operational costs.
Data Details
The dataset "Building_Energy_Consumption_Data" contains information on 100 buildings. Key variables include building type, floor area, energy consumption (kWh), occupancy rate, region, and energy score.
The Problem
ABC aims to reduce operational costs and improve energy efficiency across its managed properties. The analysis seeks to identify key factors influencing energy consumption and provide actionable insights for optimization strategies.
The Solution
Performed exploratory data analysis (EDA) to understand the data. Calculated energy consumption per square meter. Investigated correlations between temperature, floor area, occupancy rates, and energy consumption. Created visualizations (heatmap, correlation plot, trend over time) to present insights.
Showcase
No items found.
Insight

Industrial buildings in rural regions exhibit the highest energy consumption per square meter. Residential buildings have the lowest energy consumption across all regions. Urban areas generally show lower energy consumption across all building types. There is a weak negative correlation between floor area and energy consumption, and a slight positive correlation between occupancy rate and energy consumption.

Recommendation

Focus on improving energy efficiency in energy-intensive industrial buildings, particularly those located in rural regions. Consider building type and usage patterns as key factors for optimization strategies, as floor area and occupancy rate show weak correlations with energy consumption. Further investigate operational efficiency, equipment upgrades, and energy management strategies to implement effective energy-saving measures.

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