Net Zero Energy in a Residential Building Using Heuristic Optimization Solution

Deepthisree Madathil*, V. Ravikumar Pandi, Manjula G. Nair, Tooraj Jamasb, Tripta Thakur

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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In recent times, improvement in building designs has been on a steady upward trend, precipitated by large greenhouse gas emissions of energy draining outmoded construction materials. Global energy crisis exacerbated by climate change has motivated the design and construction of energy-efficient Net Zero Energy Buildings (NZEB). This paper proposes an energy management strategy for grid-connected Net Zero Energy Buildings that help to achieve a net zero balance of energy in Electrical Grid Photovoltaic-connected NZEB homes. The significance of NZEB was evaluated by providing insights into cost-savings for the consumer’s net energy consumption and reduced carbon footprint. The proffered energy management strategy uses a single-objective Differential Evolution (DE) optimization algorithm that prunes the demand for electrical energy through an efficacious appliance scheduling routine. A novel mathematical energy index is introduced that enables consumers to monitor the net energy imported from the electrical grid and maintain a zero energy index. The proposed net zero energy concept is validated using DE and Genetic Algorithm (GA)-based optimization techniques.
Original languageEnglish
JournalJournal of Control, Automation and Electrical Systems
Issue number2
Pages (from-to)458-471
Number of pages14
Publication statusPublished - Apr 2021

Bibliographical note

Published online: 25 January 2021.


  • Net zero energy buildings
  • Differential evolution
  • Energy management
  • Single-objective optimization
  • Renewable energy
  • Genetic algorithm

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