Energy Demand - Building Science Atlas

Abstract¶

What is the energy demand of a building? This chapter explores different approaches to calculating or estimating the energy demand of a building, ranging from simple ballpark estimations to complex, detailed simulations.

1. Ballpark Estimations¶

What is the simplest way to get a ballpark number and when would one attempt a simulation?

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“To understand the universe, you must understand energy, frequency, and vibration.” — Nikola Tesla

Here is a summary table of different methods:

Method	Accuracy	Complexity
Rules of Thumb	Low	Very Low
Steady-State	Medium	Low
Dynamic Simulation	High	High

2. Simulations: Levels of Complexity¶

If simulation is the goal, what are the different levels of complexity?

R51C Models¶

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The equation for the R51C network can be simplified as $Q = \frac{\Delta T}{R}$ .

C \frac{dT}{dt} = \frac{T_{ext} - T}{R} + Q_{internal}

(1)

Energy Balance Models¶

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Here is an example code snippet that sets up a simple energy balance calculation:

def calculate_energy_balance(T_in, T_out, R_value, Area):
    """
    Calculates the heat loss through a surface.
    """
    delta_T = T_in - T_out
    U_value = 1 / R_value
    heat_loss = U_value * Area * delta_T
    return heat_loss

# Example usage
loss = calculate_energy_balance(20, -5, 3.0, 50)
print(f"Heat Loss: {loss} W")

Neural Networks & Machine Learning¶

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An abstract representation of a neural network Figure 1: Conceptual visualization of interconnected data.