Passive cooling potential map and standard weather data

A Passive Cooling Potential Map and Standard Weather Data are essential tools in the design and planning of buildings, especially in regions with hot climates or where energy-efficient design is prioritized, like the Nusantara Capital City in Indonesia. Here’s an overview of each:

Passive Cooling Potential Map

A Passive Cooling Potential Map provides insight into areas where natural ventilation and passive cooling strategies (like shading, insulation, or evaporative cooling) can effectively maintain comfortable indoor temperatures without active cooling systems. Key elements of these maps include:

• Climate Zones: The map breaks down regions based on climate characteristics, such as temperature ranges, humidity levels, and seasonal wind patterns.
• Thermal Comfort Zones: Indicates where outdoor conditions align with human comfort levels for much of the year, aiding in design decisions that can avoid or minimize mechanical cooling.
• Natural Ventilation Suitability: Areas are rated based on their suitability for cross-ventilation, nighttime cooling, and other passive techniques.
• Shading and Solar Orientation: Highlights areas where solar heat gain is high and where shading solutions are most effective, depending on building orientation.

These maps help architects and engineers pinpoint passive cooling potential in specific regions, allowing them to design buildings that leverage local conditions for energy savings and climate resilience.

Standard Weather Data

Standard Weather Data offers a comprehensive view of a location’s long-term weather patterns, helping designers to simulate and predict building performance across various seasonal conditions. Essential components of standard weather data include:

• Temperature and Humidity Profiles: Daily and annual temperature and humidity fluctuations provide insights into cooling and dehumidification needs.
• Wind Speed and Direction: Key for designing natural ventilation systems that harness prevailing wind patterns.
• Solar Radiation: Direct and diffuse solar radiation data aids in designing shading, solar orientation, and daylighting strategies.
• Precipitation: Knowing seasonal rainfall patterns helps in managing water use, particularly in “sponge city” designs aimed at controlling stormwater runoff and utilizing rainwater.
• Typical Meteorological Year (TMY) Data: TMY files contain representative weather data for each hour of the year, which is valuable for energy simulations and detailed performance modeling.

For a large project like Nusantara, integrating passive cooling potential maps and weather data from sources like ASHRAE, the World Meteorological Organization, or the Climate Data Store can significantly enhance the climate adaptability and energy efficiency of the buildings. These tools empower architects and engineers to design buildings that respond dynamically to local conditions, making them more sustainable, cost-effective, and comfortable for residents.

source :

https://data.pu.go.id/visualisasi/i-tmy