Yearly Archives: 2019

Scenario-based model predictive control for heating systems

Residential and commercial buildings account for around 40% of the total energy consumption [1] and heating systems in buildings represent more than half of this amount [2]. However, a large amount of energy is wasted due to bad control strategies currently implemented in office buildings. Usually, rule-based controllers are implemented and, as the name suggests,…
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A statistical test for optimal placement of sensors

Introduction With the fast spreading integration of renewable energy sources, it is now a widely accepted fact that flexible loads capable of absorbing the volatility in energy generation are essential. In addition, the ability to steer the consumption of these loads while adhering to the comfort constraints of the users involved is important. Smart control…
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