What question did this study set out to answer?

To develop and evaluate an intelligent demand response algorithm that balances energy production and consumption while mitigating renewable intermittency to supply uninterrupted power.

January 1, 2020IEEE AccessOpen Access

Algorithm for Demand Response to Maximize the Penetration of Renewable Energy

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Authors

AHAbdullah Al Hadi CSCarlos Silva EHEklas Hossain

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Overview

Experimental study demonstrates optimized load balancing and reduced peak demand in a hybrid microgrid, suggesting viable pathways for emission-free building energy management.

Key Points

To develop and evaluate an intelligent demand response algorithm that balances energy production and consumption while mitigating renewable intermittency to supply uninterrupted power.
Designed a demand response algorithm that dynamically controls user-defined building load patterns based on battery state of charge (SOC).
Tested the algorithm on a physical microgrid comprising six photovoltaic panels, a small wind turbine, lead-acid battery banks, and diverse electrical loads.
Successfully matched energy consumption with production profiles, preventing supply interruptions caused by renewable generation intermittency.
Maximized the direct utilization of renewable power while reducing building peak demand, end-user energy costs, and carbon emissions.

Cite This Study

Hadi et al. (2020) studied this question.

synapsesocial.com/papers/6a0bc594faed69294fd0bf80 https://doi.org/10.1109/access.2020.2981877

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January 1, 2020IEEE AccessOpen Access

Algorithm for Demand Response to Maximize the Penetration of Renewable Energy

View Full Paper

Ask AI

Bookmark

Authors

AHAbdullah Al Hadi CSCarlos Silva EHEklas Hossain

Discussion

Member takes

Overview

Experimental study demonstrates optimized load balancing and reduced peak demand in a hybrid microgrid, suggesting viable pathways for emission-free building energy management.

Key Points

To develop and evaluate an intelligent demand response algorithm that balances energy production and consumption while mitigating renewable intermittency to supply uninterrupted power.
Designed a demand response algorithm that dynamically controls user-defined building load patterns based on battery state of charge (SOC).
Tested the algorithm on a physical microgrid comprising six photovoltaic panels, a small wind turbine, lead-acid battery banks, and diverse electrical loads.
Successfully matched energy consumption with production profiles, preventing supply interruptions caused by renewable generation intermittency.
Maximized the direct utilization of renewable power while reducing building peak demand, end-user energy costs, and carbon emissions.

Cite This Study

Hadi et al. (2020) studied this question.

synapsesocial.com/papers/6a0bc594faed69294fd0bf80 https://doi.org/10.1109/access.2020.2981877

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