scholarly journals Combining Performance Testing and Metadata Models to Support Fault Detection and Diagnostics in Smart Buildings

2019 ◽  
Vol 2 (3) ◽  
pp. 28
Author(s):  
Elena Markoska ◽  
Aslak Johansen ◽  
Mikkel Baun Kjærgaard ◽  
Sanja Lazarova-Molnar ◽  
Muhyiddine Jradi ◽  
...  

Performance testing of components and subsystems of buildings is a promising practice for increasing energy efficiency and closing gaps between intended and actual performance of buildings. A typical shortcoming of performance testing is the difficulty of linking a failing test to a faulty or underperforming component. Furthermore, a failing test can also be linked to a wrongly configured performance test. In this paper, we present Building Metadata Performance Testing (BuMPeT), a method that addresses this shortcoming by using building metadata models to extend performance testing with fault detection and diagnostics (FDD) capabilities. We present four different procedures that apply BuMPeT to different data sources and components. We have applied the proposed method to a case study building, located in Denmark, to test its capacity and benefits. Additionally, we use two real case scenarios to showcase examples of failing performance tests in the building, as well as discovery of causes of underperformance. Finally, to examine the limits to the benefits of the applied procedure, a detailed elaboration of a hypothetical scenario is presented. Our findings demonstrate that the method has potential and it can serve to increase the energy efficiency of a wide range of buildings.

Author(s):  
Fahad A. Al-Sulaiman ◽  
Amro M. Al-Qutub

Actual performance testing is a key element in the design stage, development and troubleshooting of centrifugal compressors. The present work discusses the procedure for designing the experimental setup and the selection of drive unit for variable centrifugal compressors sizes. It starts with setting criteria of selection. A survey over different types of drive units and facility setup was conducted. It was found that the electric drive unit with the aid of transmission for stepping-up the speeds is the most suitable type. This is due mainly to the excellent control property of electric motors allowing for wide range of operational speed and power. A new methodology was developed for selecting operational power and speeds of the drive unit for different sizes of impellers. The code, used for the analysis, was developed by the authors. It calculates the range of input power, input torque, and rotational speeds, as well as, the mass flow rate, total pressure and temperature ratios for different sizes of impellers. This will aid in selecting the proper instrumentation for the experiments. The code used for design methodology is based on one dimensional through flow formulation and validated with experimental results in the literature. It is expected that the present methodology will enhance selection procedure for designing compressor test facility.


Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4136 ◽  
Author(s):  
Man Hin Eve Chan ◽  
Kar-Kit Chu ◽  
Hin-Fung Chow ◽  
Chi-Wing Tsang ◽  
Chi Kuen Danny Ho ◽  
...  

The Chinese petrochemical industry is facing pressure to meet strict targets of energy consumption and carbon emission reductions. Water pumps are the primary equipment used in most chemical and agrochemical industries sectors since water is commonly used for cooling and heating purposes, but these pumps also consume a large amount of energy. Other uses of water pumps in these industries include producing steam for heating, preparing reaction media or absorptive reagents, rinsing products, and distilling. As for the electrical components of the water pump systems, current technologies of variable frequency drives and superconducting transmission lines are unable to increase the energy efficiency of these systems with a fixed load. However, the Balanced Wave Technology (BWT) is offered as a solution to overcome these limitations. In this report, a case study using a BWT optimizer is conducted on a closed loop water circulation system. Two BWTs are added to the individual motor-controlled section of each pump that is being used on the switchboard. For the first time, a detailed example was provided on how to implement option B of the International Performance Measurement and Verification Protocol (IPMVP) in China by evaluating the performance of BWT as an energy conservation measure. The evaluated periods included those of the baseline, post-installation, and actual performance of the optimizers. An average saving of energy of about 10.46% is recorded in a 5-week reporting period. On this basis, that annual electricity saved is estimated to be 66,447.18 kWh, which is equivalent to the emission of 68.94 metric tons of CO2e. This case study demonstrates in detail how option B of IPMVP can be implemented for BWTs applied on pumping systems. In addition to petrochemical production plants, other industries like textile and clothing sections, which are heavy users of water and electrical energy with fixed loads in the production processes of raw materials, fiber, yarn, and fabric, as well as textile-dyeing and final treatment, could benefit from applying this new technology.


2018 ◽  
Vol 3 (3) ◽  
pp. 2473011418S0022
Author(s):  
Justin Greisberg ◽  
J. Turner Vosseller ◽  
Peter Gould ◽  
Christopher Ahmad

Category: Sports Introduction/Purpose: A challenge for physicians is determining when an injured athlete is ready to return to competition. While a wide variety of ankle strength and fitness tests have been described, there are no norms or minimum performance thresholds for any of them. In this study, healthy athletes were given a series of functional tests to complete. We propose that there will be a minimum performance level for each of the tests that all athletes can complete. We also propose, for tests which assess the right and left legs independently, that performance of the right leg will consistently be within 10% of the left. Finally, we propose that performance on one of the functional tests will be predictive of function on all of the tests. Methods: Healthy college athletes were put through a testing protocol, beginning with simple range of motion assessment and progressing through a series of functional ankle tests of increasing difficulty. The athlete began with the dorsiflexion lunge test, and then progressed to single leg heel raising, single leg hopping, side hopping, front-back hopping, functional hop test, and finally 180 degree rotational jump. Right and left legs were recorded separately for the first five tests. For each test, means, ranges, and standard deviations were calculated. Results: Eighty-one athletes (male and female from different sports) completed the protocol; no athlete was unable to finish the testing sequence. There was a wide variation in performance ability between athletes; the standard deviation for any of the individual tests was too high to determine a minimum threshold of normal performance. However, when comparing right to left leg in any one athlete, the difference in performance testing was always less than 10%. Furthermore, performance on any of the hopping tests was predictive of performance on all of them. Conclusion: Ideally, an athlete could be deemed ready to return to sports activity if he or she performed above a certain threshold on a performance test. Unfortunately, athletes had such a wide range of performance that it is not possible to define a minimum threshold for any of these tests. However, right and left leg performance was always within 10% of each other. For an athlete with a single leg injury, we propose that performance on a functional hopping test less than 10% different from the uninjured leg should be the standard.


1967 ◽  
Vol 24 (5) ◽  
pp. 1117-1153 ◽  
Author(s):  
R. A. Bams

Two methods of performance testing were developed to measure differences in stamina in four groups of sockeye migrant fry, all of the Lakelse Lake (Skeena River, B.C.) stock. The four groups differed only in methods of incubation: one group was naturally propagated, the other three artificially. The results of the swimming performance tests and the vulnerability to predation tests agree closely, and analysis shows that the key factor responsible for differences in performance is size of the fish. Ranked in decreasing order of performance these four groups rate as follows: naturally propagated fish, fish incubated in gravel from time of hatching, fish incubated in gravel only for the last few weeks as premigrants, and fish that spent their entire incubation period without gravel in hatchery baskets. Independent of size is the influence of condition (K-factor) of the fish, optimum performance occurring at the time of almost complete yolk absorption. Of the two methods the swimming performance test was found to be more sensitive and is recommended as a tool for comparative "quality testing" of fish stocks.


2016 ◽  
Author(s):  
Philipp Leitner ◽  
Cor-Paul Bezemer

The usage of open source (OS) software is nowadays wide- spread across many industries and domains. While the functional quality of OS projects is considered to be up to par with that of closed-source software, much is unknown about the quality in terms of non-functional attributes, such as performance. One challenge for OS developers is that, unlike for functional testing, there is a lack of accepted best practices for performance testing. To reveal the state of practice of performance testing in OS projects, we conduct an exploratory study on 111 Java-based OS projects from GitHub. We study the performance tests of these projects from five perspectives: (1) the developers, (2) size, (3) organization and (4) types of performance tests and (5) the tooling used for performance testing. First, in a quantitative study we show that writing performance tests is not a popular task in OS projects: performance tests form only a small portion of the test suite, are rarely updated, and are usually maintained by a small group of core project developers. Second, we show through a qualitative study that even though many projects are aware that they need performance tests, developers appear to struggle implementing them. We argue that future performance testing frameworks should provider better support for low-friction testing, for instance via non-parameterized methods or performance test generation, as well as focus on a tight integration with standard continuous integration tooling.


2018 ◽  
Vol 36 (5) ◽  
pp. 521-543
Author(s):  
David Olof Fredrik Sundfors ◽  
Magnus Bonde

Purpose Environmental rating systems typically focus on building characteristics at a specific point in time; but from investment and valuation perspectives, actual performance over time should be the most important thing. Newly constructed commercial buildings today usually come with a high degree of technically advanced installations and a wide range of monitoring possibilities. This provides us with the possibility of monitoring a building’s in-use performance. The purpose of this paper is to investigate how frontrunners in the Swedish green building market actually monitor their new buildings, and look for similarities in that area. Design/methodology/approach By investigating a selected case study, conducting a survey and follow-up interviews among Swedish real estate companies and finally studying the available industry information, this paper considers what key performance indicators real estate developers choose to monitor as well as how they go about collecting and using the data. By doing this, we can get an idea of what is already monitored and to what extent. The case study also provides an insight into what is technologically possible. Findings A comparison of the gathered data from this study is then made with information that investors and property valuers would be expected to be interested in. The results show that these data are, to a large extent, information that the frontrunners already gather, but it is not made publicly available. One area where important information is lacking, however, is data about indoor climate. Research limitations/implications The study is solely focussed on commercial buildings in Sweden and also on real estate owners with a high sustainability profile. Originality/value This paper presents a starting point in introducing the research area of the continued sustainability performance of our built environment. In order to understand and improve the environmental performance over time of our buildings and the connection to potential value, it is important to know what we can and should monitor.


2000 ◽  
Vol 43 (2) ◽  
pp. 139-150
Author(s):  
U. Wuensch ◽  
G. Nitter ◽  
U. Bergfeld ◽  
L. Schueler

Abstract. Alternative selection strategies for a three-way cross in pigs (Pietrain as the sire line and Large White boars mated to German Landrace sows to produce the F1-female) are investigated to maximise both genetic gain and profit. The number of nucleus sows in the main female line (German Landrace) can vary within a wide range without noticeable effect on the genetic and economic response. Productive lifetimes of approximately one year are recommended for nucleus boars and sows after the progeny test. Boars mated to produce crossbreds should be used longer, especially in the terminal sire line. F1-sows can have a productive lifetime of more than two years and can be used close to their biological maximum. Four testing schemes are compared and the contribution of the three breeds to the return is evaluated. Testing crossbred animals at a central test Station cannot be recommended. This capacity should be used to test purebred animals. Both monetary genetic gain and profit are higher in a scheme with a self-performance testing of boars at Station, in comparison to a scheme with only progeny testing at Station, by 36 and 68%, respectively. Due to a reduced generation interval, using boars to produce breeding boars straight after their self-performance test leads to a further increase of monetary genetic gain by 5% and profit by 13%. In all schemes, selection in Pietrain leads to the highest return due to the highest gene proportion in and its shorter distance to the terminal product and the therefore faster transfer of genetic gain.


Author(s):  
Douglas H. Harris

This study examined the effect of subdividing grading units on performance test reliability. That is, instead of increasing test length by adding grading units comparable to existing grading units, this experimental approach attempted to increase test length, and hence reliability, by subdividing existing grading units into comparable subunits. The effect of subdividing grading units was assessed empirically using a performance test of the ultrasonic detection of cracks in pipe welds. Five-hour performance tests involving the examination of 10 pipe-weld specimens were completed by each of 52 experienced ultrasonic operators as part of their qualification for performing tasks of this type in nuclear power plants. Subdivision of grading units was found to increase the reliability of the test from 0.28 to 0.92, to decrease the standard error of measurement of the test from 13.81 to 1.35, and to decrease the 90% confidence band around test scores from ± 22.60 to ±2.20. Moreover, the increased reliability was predicted by the Spearman-Brown Prophecy Formula, the method commonly employed for predicting the effect of increased length on test reliability.


Author(s):  
Philipp Leitner ◽  
Cor-Paul Bezemer

The usage of open source (OS) software is nowadays wide- spread across many industries and domains. While the functional quality of OS projects is considered to be up to par with that of closed-source software, much is unknown about the quality in terms of non-functional attributes, such as performance. One challenge for OS developers is that, unlike for functional testing, there is a lack of accepted best practices for performance testing. To reveal the state of practice of performance testing in OS projects, we conduct an exploratory study on 111 Java-based OS projects from GitHub. We study the performance tests of these projects from five perspectives: (1) the developers, (2) size, (3) organization and (4) types of performance tests and (5) the tooling used for performance testing. First, in a quantitative study we show that writing performance tests is not a popular task in OS projects: performance tests form only a small portion of the test suite, are rarely updated, and are usually maintained by a small group of core project developers. Second, we show through a qualitative study that even though many projects are aware that they need performance tests, developers appear to struggle implementing them. We argue that future performance testing frameworks should provider better support for low-friction testing, for instance via non-parameterized methods or performance test generation, as well as focus on a tight integration with standard continuous integration tooling.


2016 ◽  
Author(s):  
Philipp Leitner ◽  
Cor-Paul Bezemer

The usage of open source (OS) software is nowadays wide- spread across many industries and domains. While the functional quality of OS projects is considered to be up to par with that of closed-source software, much is unknown about the quality in terms of non-functional attributes, such as performance. One challenge for OS developers is that, unlike for functional testing, there is a lack of accepted best practices for performance testing. To reveal the state of practice of performance testing in OS projects, we conduct an exploratory study on 111 Java-based OS projects from GitHub. We study the performance tests of these projects from five perspectives: (1) the developers, (2) size, (3) organization and (4) types of performance tests and (5) the tooling used for performance testing. First, in a quantitative study we show that writing performance tests is not a popular task in OS projects: performance tests form only a small portion of the test suite, are rarely updated, and are usually maintained by a small group of core project developers. Second, we show through a qualitative study that even though many projects are aware that they need performance tests, developers appear to struggle implementing them. We argue that future performance testing frameworks should provider better support for low-friction testing, for instance via non-parameterized methods or performance test generation, as well as focus on a tight integration with standard continuous integration tooling.


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