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An energy oriented design concept was developed within the research project PHOTOPUR which has the development of a PV powered water cleaning system as main focus. During a wine season Plant Protection Products (PPP) are several times sprayed on plants to protect them of undesired insects and herbs or avoid hazardous fungus
types. A work package of the project partner INES in Offenburg led to a design introducing energy profiling already in the early beginning of a product design. The concept is based on three pillars respecting first the
requirements of the core process making up filtering and cleaning and secondary aspects which run, support, maintain and monitor the system to secure availability and product reliability.
The presented paper shows that the results of the design tools guided the developers to assemble a functional model of the water decontamination unit which was manually tested with its concatenated steps of the water cleaning process.
Abstract
The building sector is one of the main consumers of energy. Therefore, heating and cooling concepts for
renewable energy sources become increasingly important. For this purpose, low-temperature systems such
as thermo-active building systems (TABS) are particularly suitable. This paper presents results of the use
of a novel adaptive and predictive computation method, based on multiple linear regression (AMLR) for
the control of TABS in a passive seminar building. Detailed comparisons are shown between the standard
TABS and AMLR strategies over a period of nine months each. In addition to the reduction of thermal
energy use by approx. 26% and a signicant reduction of the TABS pump operation time, this paper focuses
on investment savings in a passive seminar building through the use of the AMLR strategy. This includes
the reduction of peak power of the chilled beams (auxiliary system) as well as a simplication of the TABS
hydronic circuit and the saving of an external temperature sensor. The AMLR proves its practicality by
learning from the historical building operation, by dealing with forecasting errors and it is easy to integrate
into a building automation system.
Keywords: Thermo-activate building system (TABS), Adaptive predictive control, Multiple regression,
Thermal comfort, Energy savings, Investment savings
In the course of the last few years, our students are becoming increasingly unhappy. Sometimes they stop attending lectures and even seem not to know how to behave correctly. It feels like they are getting on strike. Consequently, drop-out rates are sky-rocketing. The lecturers/professors are not happy either, adopting an “I-don’t-care” attitude.
An interdisciplinary, international team set in to find out: (1) What are the students unhappy about? Why is it becoming so difficult for them to cope? (2) What does the “I-don’t-care” attitude of professors actually mean? What do they care or not care about? (3) How far do the views of the parties correlate? Could some kind of mutual understanding be achieved?
The findings indicate that, at least at our universities, there is rather a long way to go from “Engineering versus Pedagogy” to “Engineering Pedagogy”.