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In order to increase the total amount of energy savings to be reached in 2020 and 2050 the German government launched a number of initiatives. One of the associated projects aims to support market surveillance authorities in the field of Ecodesign and Energy Labelling, thereby increasing confidence in these instruments. The surveillance of heating appliances is of great importance as the energy consumed by space heaters accounts for a significant share of the total energy demand in the European Union. In this study heat pumps are analyzed as a high efficiency technology and prospective candidate for large energy savings. It is focused on both validating the current measurement standards for heat pumps and further developing these methods for the benefit of market surveillance authorities.
The test method standards, EN 14511 and EN 14825, for testing heat pumps regarding their performance and energy efficiency are validated by conducting round robin tests in independent and accredited test laboratories. Based on these tests the reproducibility and repeatability of the standardized test methods and the laboratories in Europe are assessed.
Identifying deficiencies in the methods is a fundamental step towards a sustained improvement process. Optimization proposals will be developed based on these fundamental investigations and brought to the attention of standardization bodies.
It was figured out that the currently used test methods exhibit high complexity, high financial effort and reveal significant deviations of testing results depending on whether they were determined under laboratory or field test conditions.
New testing and calculation methodologies are developed to simplify the process with the aim to increase the accuracy and affordability of the energy efficiency testing of heat pumps.
What is the future of Analytical Sciences? The talk starts with a definition, comparing the current view with that from 1968. How do wie set trends? How do we get Analytics inside? Some examples of "Big Science" are given and discussed in relation to a definition of AS. How does AS face the current Grand Challenges?
As exaples for something significant, several exaples are presented, such as Climate Change of Hydrogen Storage. Another important trand are eScience and automation concepts for AS, which are highlighted.
But (Analytical) Science has to be politcal in our times to face Fake News and to breake barriers!