Grid Impact Indicators for Active Building Simulations


This paper presents grid impact indicators, developed to evaluate the performance of native control mechanisms, affecting the impact of a web-zero energy building on the electricity grid, without the necessity to simulate the grid itself. The capacity factor, loss-of-load chance, cowl factor for supply and demand, load match index, power exchange variability, one-p.c peak power, peaks on top of limit, dimensioning rate, and kVA credit are proposed and applied to example single-building simulations. These simulations embody management mechanisms affecting the power exchange of the building with the grid by adjusting the set-purpose temperature of the thermal energy storage tank of the warmth pump, shifting native consumption to higher coincide with local photovoltaic generation, or by directly limiting the ability equipped to the grid. The simulations specialize in a single internet-zero energy building and use one such building as a reference and others for comparison of trends in simulation results. All modeling is done in the equation-based mostly object-oriented modeling language Modelica. Simulations are performed using the Dymola atmosphere.

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