Matches in SemOpenAlex for { <https://semopenalex.org/work/W3011215615> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3011215615 abstract "With the gradual advancement of energy-saving work in public buildings, the number of energy monitoring systems continues to increase. However, due to the low level of information management, quality problems are common in monitoring data; there are cases where data is missing or abnormal, which hinders the well progress of energy conservation. Therefore, the method for quickly and accurately repairing problem monitoring data needs to be studied. The core part of the power consumption of HVAC is the freezing station, in which the power consumption of the chiller occupies a major part, needs to be concerned. This paper proposes to repair the data by establishing energy consumption model. The research object is the chiller of a campus education office building. Firstly, the factors that affect the power consumption of the chiller are mastered. Then, the operating parameters are simulated by e-Quest software, and a multivariate regression model of power consumption with meteorological parameters is established. Finally, the model is used to repair the problem data. The results show that the correlation coefficient between the leaving supply temperature of water and power consumption is about 0.9, which has the greatest impact and is of great significance to the retrofit of the systems. And, the repair accuracy for missing data reaches 2–3%, indicating that the method is fast and effective and can be applied online." @default.
- W3011215615 created "2020-03-23" @default.
- W3011215615 creator A5013890334 @default.
- W3011215615 creator A5019876087 @default.
- W3011215615 creator A5027254300 @default.
- W3011215615 creator A5036611713 @default.
- W3011215615 creator A5046741336 @default.
- W3011215615 date "2020-01-01" @default.
- W3011215615 modified "2023-09-27" @default.
- W3011215615 title "Repair Method of Chiller Power Consumption Monitoring Data Based on Multiple Linear Regression Model" @default.
- W3011215615 cites W1815414460 @default.
- W3011215615 cites W2081546775 @default.
- W3011215615 doi "https://doi.org/10.1007/978-981-13-9528-4_128" @default.
- W3011215615 hasPublicationYear "2020" @default.
- W3011215615 type Work @default.
- W3011215615 sameAs 3011215615 @default.
- W3011215615 citedByCount "0" @default.
- W3011215615 crossrefType "book-chapter" @default.
- W3011215615 hasAuthorship W3011215615A5013890334 @default.
- W3011215615 hasAuthorship W3011215615A5019876087 @default.
- W3011215615 hasAuthorship W3011215615A5027254300 @default.
- W3011215615 hasAuthorship W3011215615A5036611713 @default.
- W3011215615 hasAuthorship W3011215615A5046741336 @default.
- W3011215615 hasConcept C103742991 @default.
- W3011215615 hasConcept C119599485 @default.
- W3011215615 hasConcept C119857082 @default.
- W3011215615 hasConcept C121332964 @default.
- W3011215615 hasConcept C122346748 @default.
- W3011215615 hasConcept C127413603 @default.
- W3011215615 hasConcept C152877465 @default.
- W3011215615 hasConcept C18762648 @default.
- W3011215615 hasConcept C200601418 @default.
- W3011215615 hasConcept C2780165032 @default.
- W3011215615 hasConcept C41008148 @default.
- W3011215615 hasConcept C4638862 @default.
- W3011215615 hasConcept C520301825 @default.
- W3011215615 hasConcept C78519656 @default.
- W3011215615 hasConcept C97355855 @default.
- W3011215615 hasConceptScore W3011215615C103742991 @default.
- W3011215615 hasConceptScore W3011215615C119599485 @default.
- W3011215615 hasConceptScore W3011215615C119857082 @default.
- W3011215615 hasConceptScore W3011215615C121332964 @default.
- W3011215615 hasConceptScore W3011215615C122346748 @default.
- W3011215615 hasConceptScore W3011215615C127413603 @default.
- W3011215615 hasConceptScore W3011215615C152877465 @default.
- W3011215615 hasConceptScore W3011215615C18762648 @default.
- W3011215615 hasConceptScore W3011215615C200601418 @default.
- W3011215615 hasConceptScore W3011215615C2780165032 @default.
- W3011215615 hasConceptScore W3011215615C41008148 @default.
- W3011215615 hasConceptScore W3011215615C4638862 @default.
- W3011215615 hasConceptScore W3011215615C520301825 @default.
- W3011215615 hasConceptScore W3011215615C78519656 @default.
- W3011215615 hasConceptScore W3011215615C97355855 @default.
- W3011215615 hasLocation W30112156151 @default.
- W3011215615 hasOpenAccess W3011215615 @default.
- W3011215615 hasPrimaryLocation W30112156151 @default.
- W3011215615 hasRelatedWork W2009934051 @default.
- W3011215615 hasRelatedWork W2154216109 @default.
- W3011215615 hasRelatedWork W2186560469 @default.
- W3011215615 hasRelatedWork W2271113035 @default.
- W3011215615 hasRelatedWork W2332178107 @default.
- W3011215615 hasRelatedWork W2376955542 @default.
- W3011215615 hasRelatedWork W2408972685 @default.
- W3011215615 hasRelatedWork W2767061767 @default.
- W3011215615 hasRelatedWork W2783058069 @default.
- W3011215615 hasRelatedWork W2803794924 @default.
- W3011215615 hasRelatedWork W2888492830 @default.
- W3011215615 hasRelatedWork W2899593324 @default.
- W3011215615 hasRelatedWork W2911367583 @default.
- W3011215615 hasRelatedWork W2919456451 @default.
- W3011215615 hasRelatedWork W2920803899 @default.
- W3011215615 hasRelatedWork W2963443711 @default.
- W3011215615 hasRelatedWork W2965192960 @default.
- W3011215615 hasRelatedWork W3108938125 @default.
- W3011215615 hasRelatedWork W3164002619 @default.
- W3011215615 hasRelatedWork W3002322128 @default.
- W3011215615 isParatext "false" @default.
- W3011215615 isRetracted "false" @default.
- W3011215615 magId "3011215615" @default.
- W3011215615 workType "book-chapter" @default.