Comparative Evaluation of Different Computational Models for Performance of Air Source Heat Pumps Based on Real World Data

AbstractTo reduce energy usage and CO2 emission due to heating, heat pumps have turned out a good option. For example, to obtain a net zero house, often a combination of solar panels and a heat pump is used. A computational model of the performance of a heat pump provides a useful tool for prediction and decision making. In this paper, six variations of such computational models are discussed and evaluated. Evaluation was based on real world empirical data for 8 different domestic situations. The evaluation took place by determining the most optimal values for the parameters of each of the models for the given data, and then considering the remaining error

State of Utah v. Jose Javala-Perez : Brief of Appellee

An appeal from convictions for one count of Driving Under the Influence, a Class B Misdemeanor, one count of Speeding, a Class C Misdemeanor, one count of Faulty Equipment, a Class C Misdemeanor, in the Third District Court, Salt Lake County, the Honorable William W. Barrett, presiding

Fishing for data and sorting the catch : assessing the data quality, completeness and fitness for use of data in marine biogeographic databases

Being able to assess the quality and level of completeness of data has become indispensable in marine biodiversity research, especially when dealing with large databases that typically compile data from a variety of sources. Very few integrated databases offer quality flags on the level of the individual record, making it hard for users to easily extract the data that are fit for their specific purposes. This article describes the different steps that were developed to analyse the quality and completeness of the distribution records within the European and international Ocean Biogeographic Information Systems (EurOBIS and OBIS). Records are checked on data format, completeness and validity of information, quality and detail of the used taxonomy and geographic indications and whether or not the record is a putative outlier. The corresponding quality control (QC) flags will not only help users with their data selection, they will also help the data management team and the data custodians to identify possible gaps and errors in the submitted data, providing scope to improve data quality. The results of these quality control procedures are as of now available on both the EurOBIS and OBIS databases. Through the Biology portal of the European Marine Observation and Data Network (EMODnet Biology), a subset of EurOBIS records-passing a specific combination of these QC steps-is offered to the users. In the future, EMODnet Biology will offer a wide range of filter options through its portal, allowing users to make specific selections themselves. Through LifeWatch, users can already upload their own data and check them against a selection of the here described quality control procedures