Energy Savings from Retrofitting Residential Buildings with Phase Change Material Integrated Panel
2022
- 13Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage13
- Abstract Views8
- Downloads5
Thesis / Dissertation Description
The building sector in Canada is energy intensive and a significant portion of the current residential building stock is decades old with their envelope requiring upgrades to meet current energy efficiency standards. This thesis investigates the energy savings from incorporating thermal energy storage using phase change materials (PCM) in retrofitting existing building stock. A building recently retrofitted in Ottawa is used as a reference for this thesis. In this study, a honeycomb PCM wallboard with a latent heat capacity of 42.7 kJ/kg and high thermal conductivity of 2.7 W/mK was selected and we performed an extensive numerical investigation on the incorporation of the PCM to the retrofit panel attached to the reference building walls. In the third chapter, we performed a parametric study to understand the effect of the phase change material parameters in reducing the heat flux through the building envelope using representative summer and winter days. The parameters considered were the melting temperature of the PCM, the thickness of the PCM and the peak equivalent heat capacity/ latent heat capacity and we analyzed how these parameters affected heat flux reduction through the building walls. It was determined that the optimal PCM melting temperature was closely related to the indoor setpoint. In the fourth chapter, we determined the effect of the positioning of the PCM and the climatic condition on the effectiveness of the PCM by performing annual simulations. The optimal energy savings were obtained when the PCM was placed on the interior side of the retrofit panel, and we observed a reduction in energy savings as the PCM was moved toward the exterior side of the retrofit panel. The annual simulation was performed for the tropical climate of Brasilia, Brazil to show the effect of climatic conditions. We noted that for year-round utilization of the latent heat storage of the PCM, the diurnal temperature swings need to overlap with the indoor temperature. Our results showed the PCM to be more effective between May and September in Ottawa and we realized heating and cooling savings of 13% and 8% respectively in these months. Economic analysis was performed to determine the payback period. Our conservative estimate based on the residential electricity price of CA$ 0.17 shows that the investment could be realized in 15.6 years. The current residential electricity price in Europe was used to estimate the payback period to get a global view and the result showed the energy savings from PCM integration can return the initial investment in 7.6 years.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know