Energy Flexibility for an Institutional Building with Integrated Solar System: Case Study Analysis
| Autor: | Fatima Amara, Vasken Dermardiros, Andreas K. Athienitis |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Flexibility (engineering)
Computer science business.industry 020209 energy Geothermal heating 0211 other engineering and technologies 02 engineering and technology Energy consumption Energy storage Automotive engineering Renewable energy Load management Peak demand Geothermal heat pump 021105 building & construction 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | 2019 IEEE Electrical Power and Energy Conference (EPEC). |
| DOI: | 10.1109/epec47565.2019.9074815 |
| Popis: | The integration of renewable energy technologies and energy storage systems can provide significant energy flexibility to buildings, minimizing their impact on the power grid stability. In this regard, the development of suitable load management strategies is necessary for properly estimating and optimizing the building flexibility as a function of the building-plant feature and of the environmental conditions. This paper focuses on the quantification of the energy flexibility of a high performance institutional public building located in Varennes (Quebec, Canada), with the aim of reducing both the peak load demand and the energy consumption during a certain period of a day. The building integrates innovative technologies based on renewable energy, including geothermal heat pumps, PV panels, and radiant floors. To this aim, a tool based on a combined adaptive Auto Regressive model with exogenous inputs (ARX) is developed to predict the building indoor air and concrete surface slab temperature by taking into account the optimal operation of a geothermal heat pump, run by renewable electricity from PV panels. Several modelling strategies are tested in order to increase the reliability of the proposed approach. Modeling results are explored to quantify the possible flexibility of a sunny cold day through test scenarios compared to measurements. Numerical simulation results show that the proposed flexibility strategy can achieve peak demand reduction of 40 % during morning period and 30 % during evening period. Finally, tests using real data confirm the validity of the model as a tool to estimate energy flexibility in high performance buildings. |
| Databáze: | OpenAIRE |
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