A new study conducted in the United States quantifies how the optimization of the consumed energy in buildings can increase the electrical power resources.
The power generation system is nowadays under significant reformations with the aim to become less dependent on fossil fuels and use more renewable energy. Moreover, scientists and experts emphasize the need for infrastructure to become more efficient and progressively utilize less power.
The impact of buildings' power consumption on this global endeavor is much more profound than anticipated. In the United States, 75% of the electricity is consumed in buildings, thus, even a small reduction in the power needs would result in saving valuable resources. The new study quantifies the grid resources from building efficiency and flexibility at the national scale taking into consideration time and space variables.
According to Jared Langevin, lead author of the study and a laboratory researcher at the University of California, Berkeley, the impact of the buildings on power consumption has not been adequately studied yet since it is very difficult to quantify it on a large scale. The aim of the research group was to find the factors that determine the electricity need of buildings and what intelligent measures can be used to reduce the consumption but not the quality of people's lives.
The study reveals that the most significant factors that control the power consumption for buildings are:
The largest grid resources in the United States were detected in the southeastern States, Texas, Mid-Atlantic regions and Great Lakes. Those regions are characterized by high population density, high electrical equipment and increased power demand.
By optimizing the aforementioned systems, the authors of the study suggest that billions of $ can be saved for both power suppliers and consumers. Most energy saving will be observed in peak hours or days as the buildings will be prepared to tackle the external, environmental factors. In particular, scientists expect that building efficiency techniques could reduce the annual power consumption by up to 742 TWh in 2030 rising to 800 TWh in 2050. Langevin highlighted the importance of the findings but also emphasized the need of putting these concepts into practice.
Sources: BerkeleyLab Langevin et al. (2021)
Sources: BerkeleyLab, Langevin et al. (2021)
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