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KNX Journal 2011-1

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<strong>KNX</strong> Partners<br />

rithms. This is an essential prerequisite for<br />

the commercial adjustment of the electrical<br />

loads in Smart Grid houses of the future. For<br />

example, the total consumption in a partial<br />

power grid e.g. a low-voltage network can<br />

be adapted to the local energy production<br />

from renewable energy.<br />

Target<br />

For teaching purposes, the test stand<br />

will serve to provide the students with<br />

both theoretical and practical knowledge.<br />

The cooperative partnerships with ABB,<br />

Crestron, EEBus and <strong>KNX</strong> (<strong>KNX</strong> Scientific<br />

Partnership) will help in this regard. These<br />

partnerships are not financially based but<br />

rather are used to exchange knowledge and<br />

should therefore help to achieve realistic<br />

or market-based research and training of<br />

the students in the area of Smart Grid and<br />

security of supply.<br />

In their main studies, the students must<br />

carry out eight experiments on test rigs.<br />

One of the experiments is carried out<br />

next semester on the building technology<br />

test stand. On the one hand, the students<br />

learn what an intelligent building control<br />

system can look like, which is necessary in<br />

the Smart Grid of the future. On the other<br />

hand, they must themselves plan a building<br />

control system in the preliminary stages<br />

using the example of a small flat and then<br />

implement it in practice on the test stand.<br />

The students use corresponding software<br />

tools for creating circuit diagrams (Striebel<br />

& John Strieplan) and for programming the<br />

building control system (ETS).<br />

In addition, the students carry out research<br />

work on the test stand such as bachelor<br />

and master theses. In particular, theses are<br />

assigned in the area of load management.<br />

They examine for example to what extent<br />

the problem of voltage boost in a local<br />

network with a high photovoltaic supply<br />

can be counteracted through load adjustment,<br />

thus preventing an overload of the<br />

local network. In the future, high numbers of<br />

electric vehicles could lead to simultaneous<br />

charging for example in the evening when<br />

many people are driving home from work<br />

and want to charge their vehicles. This<br />

would result in a high load which could<br />

cause problems for the energy grid in the<br />

same way as an excessive feed-in. In their<br />

research work, students examine to what<br />

extent staggered charging can reduce the<br />

problem dependent on the parking time.<br />

They also program special charging modes<br />

based on variable electricity tariffs. Additionally,<br />

corresponding load adjustment<br />

algorithms are developed which should be<br />

evaluated for their suitability using simulations<br />

of real low-voltage networks. These<br />

algorithms are then implemented in the<br />

test stand and road-tested.<br />

<strong>KNX</strong> energy actuators<br />

<strong>KNX</strong> Smart Metering<br />

Test stand under development<br />

<strong>Journal</strong> 1/<strong>2011</strong><br />

47

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