Energy Management and Cost Analysis in Residential Houses using Batteries
Baris Aksanli, Tajana Simunic Rosing

Citation
Baris Aksanli, Tajana Simunic Rosing. "Energy Management and Cost Analysis in Residential Houses using Batteries". SRC TECHCON 2014, 7, September, 2014.

Abstract
Residential energy consumption shows significant diurnal patterns that can be leveraged by energy storage devices. Batteries can store energy from either local renewable sources or from the grid when the electricity is cheaper, and provide it when the prices are higher. But, batteries are chemical devices and their efficiency and lifetime highly depends on the usage patterns. In this paper, we develop a framework that considers the physical properties of batteries, tests the feasibility of a battery deployment and finds the best battery types and configurations for a particular residential configuration. We validate the outcomes our framework through simulations that are informed by measurements. Our framework shows that up to 43% savings can be obtained with batteries, which may be lower or completely eliminated if the batteries are not used in specific configurations.

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Citation formats  
  • HTML
    Baris Aksanli, Tajana Simunic Rosing. <a
    href="http://www.terraswarm.org/pubs/322.html"
    >Energy Management and Cost Analysis in Residential
    Houses using Batteries</a>, SRC TECHCON 2014, 7,
    September, 2014.
  • Plain text
    Baris Aksanli, Tajana Simunic Rosing. "Energy
    Management and Cost Analysis in Residential Houses using
    Batteries". SRC TECHCON 2014, 7, September, 2014.
  • BibTeX
    @inproceedings{AksanliRosing14_EnergyManagementCostAnalysisInResidentialHousesUsing,
        author = {Baris Aksanli and Tajana Simunic Rosing},
        title = {Energy Management and Cost Analysis in Residential
                  Houses using Batteries},
        booktitle = {SRC TECHCON 2014},
        day = {7},
        month = {September},
        year = {2014},
        abstract = {Residential energy consumption shows significant
                  diurnal patterns that can be leveraged by energy
                  storage devices. Batteries can store energy from
                  either local renewable sources or from the grid
                  when the electricity is cheaper, and provide it
                  when the prices are higher. But, batteries are
                  chemical devices and their efficiency and lifetime
                  highly depends on the usage patterns. In this
                  paper, we develop a framework that considers the
                  physical properties of batteries, tests the
                  feasibility of a battery deployment and finds the
                  best battery types and configurations for a
                  particular residential configuration. We validate
                  the outcomes our framework through simulations
                  that are informed by measurements. Our framework
                  shows that up to 43% savings can be obtained with
                  batteries, which may be lower or completely
                  eliminated if the batteries are not used in
                  specific configurations. },
        URL = {http://terraswarm.org/pubs/322.html}
    }
    

Posted by Baris Aksanli on 11 Jun 2014.

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