Abstract
Heating, Ventilation and Air conditioning systems in new buildings
are systematically underperforming, also known as the performance gap. Continuous Commissioning (CCx) is seen as promising to improve this situation using the data time series to monitor the conditions and performance of building Services installations. However, implementation of CCx is complex and cost-intensive when all the available data needs to be analyzed. Alternatively performance efficiencies during exploitation are periodically upgraded by performing Re-Commissioning (RCx). However, often results after RCx do not live up to their expectations and it is necessary to increase the effectiveness of data analysis. The use of the Pareto analysis and the Lean Energy Analysis (LEAN) makes this possible.
The Pareto analysis is a stepwise approach for the identification of major
causes in an identified deviation in a time series. LEAN specifically aims at identification and assessment of correlations between primary goals of energy consumption and the actual consumed energy by regression coefficients. By analysing time series in this way, building services inefficiencies are systematically addressed thus improving the effectiveness of the RCx process.
are systematically underperforming, also known as the performance gap. Continuous Commissioning (CCx) is seen as promising to improve this situation using the data time series to monitor the conditions and performance of building Services installations. However, implementation of CCx is complex and cost-intensive when all the available data needs to be analyzed. Alternatively performance efficiencies during exploitation are periodically upgraded by performing Re-Commissioning (RCx). However, often results after RCx do not live up to their expectations and it is necessary to increase the effectiveness of data analysis. The use of the Pareto analysis and the Lean Energy Analysis (LEAN) makes this possible.
The Pareto analysis is a stepwise approach for the identification of major
causes in an identified deviation in a time series. LEAN specifically aims at identification and assessment of correlations between primary goals of energy consumption and the actual consumed energy by regression coefficients. By analysing time series in this way, building services inefficiencies are systematically addressed thus improving the effectiveness of the RCx process.
| Original language | English |
|---|---|
| Title of host publication | ITISE 2018 International Conference on Time Series and Forecasting : proceedings of papers |
| Editors | Olga Valenzuela, Fernando Rojas, Héctor Pomares, Ignacio Rojas |
| Pages | 158-169 |
| Number of pages | 12 |
| Volume | 1 |
| Publication status | Published - 19 Sept 2018 |
| Event | International Conference on Time Series and Forecasting - Facultad de Ciencas Granada, Granada, Spain Duration: 19 Sept 2018 → 21 Sept 2018 |
Conference
| Conference | International Conference on Time Series and Forecasting |
|---|---|
| Abbreviated title | ITISE 2018 |
| Country/Territory | Spain |
| City | Granada |
| Period | 19/09/18 → 21/09/18 |