A master thesis from Aalborg University
Building Energy Flexibility: A Sensitivity Analysis and Key Performance Indicator Comparison
[Bygnings Energi Flexibilitet: Sensitivitets Analyse og Sammenligning af Nøgleindikatorer]
Author(s)
Term
4. Term
Education
Publication year
2019
Submitted on
2019-01-10
Pages
92 pages
Abstract
This thesis has two objectives, the first is to analyze the impact of insulation level, thermal mass, type of heating system, control strategy, outdoor temperature, solar radiation and type of building (office or single family house), on the flexibility function and the two key performance indicators developed by IEA EBC Annex 67. This sensitivity analysis is based on raw data from 6 case studies, and to assess the influence on the different parameters, ANOVA tests are used. The results are then ranked according to their influence on the different flexibility characteristics and key performance indicators. Furthermore, another sensitivity analysis is performed to more specifically analyze the impact of insulation level, thermal mass, heating system and control strategy on the flexibility characteristics. The results showed that insulation level has the largest influence on all the flexibility characteristics and key performance indicators, except the total time of increased energy demand. Thermal mass is also found to have a significant influence on the flexibility characteristics, especially on low insulated building. The validity of the sensitivity analysis results on the total time of increase/decrease energy demand are questionable. Based on analysis and result from other studies, the ranking order should be different. Insulation level and thermal mass should be the parameters that have the largest influence. The results also showed that only insulation level has an influence on the cost/savings by applying flexibility. This can be more related to the decrease of energy consumption from a low insulated to a high insulated building. The second objective of this thesis is so analyze and compare different key performance indicators to the ones developed by IEA EBC Annex 67. For comparison, a graph with results from both the respective and key performance indicators developed by IEA EBC Annex 67 is used. In total, 11 key performance indicators were analyzed, and it was found that they can be categorized into four categories. The comparison showed that 8 of the 11 analyzed key performance indicators were either comparable to shifted flexible load or efficiency of flexible operation, or, if only considering the KPIs that can assess the flexibility potential on a yearly basis, 8 of the 9 analyzed key performance indicators were comparable to the IEA EBC Annex 67 key performance indicators.
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