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Publication Type : Conference Proceedings
Publisher : 2017 International Conference on Technological Advancements in Power and Energy
Source : 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy) (2017)
Keywords : annual zero net energy, building sector, Buildings, buildings (structures), Carbon dioxide, Carbon Emissions, DE algorithm based grid connected ZNEB, Differential Evolution (DE), differential evolution based energy management system, electrical energy cost, energy consumption, energy efficient technologies, Energy management systems, energy needs, evolutionary computation, Linear programming, Optimization, Photovoltaic (PV), Power grids, residential building, smart buildings, sociology, Standards, Statistics, zero net energy building, Zero Net Energy Building (ZNEB)
Campus : Amritapuri, Coimbatore
School : School of Engineering
Center : Amrita Innovation & Research, Electronics Communication and Instrumentation Forum (ECIF)
Department : Electrical and Electronics
Verified : Yes
Year : 2017
Abstract : Zero Net Energy Building (ZNEB) is a new concept trending in the recent years which focus on energy efficient technologies for the implementation of smart buildings. The building sector contributes largely towards the growing energy needs and increased carbon footprints. Hence ZNEBs are promoted around the world as they help maintain annual zero net energy in the building which means that the overall energy generated through renewable technologies is equal to the energy consumed. In this paper, a Differential Evolution (DE) algorithm based grid connected ZNEB is designed to minimize electrical energy cost in the residential building by optimally scheduling the loads. The paper also aims to obtain a modified DE for better solutions.
Cite this Research Publication : D. Madathil, Dr. V. Ravikumar Pandi, Ilango Karuppasamy, and Dr. Manjula G. Nair, “Differential Evolution based Energy Management System for Zero Net Energy Building”, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy). 2017.