A REVIEW OF ASSESSMENT OF EMBODIED ENERGY OF BUILDINGS AND APPLICATION OF ARTIFICIAL NEURAL NETWORK

Abstract

Whenever we think about living, house is the first thought. The construction process involves lot of operations. Modern day construction has evolved radically in recent years. State of art machines, frameworks and infrastructure with modern engineering have become an essential and integral part of the construction. Usage of embodied energy on large scale has emerged as one of the major part of the construction. Embodied energy calculations prior to construction can give us a clearer picture of environmental effect and help us make better material choices. The environment friendly materials can reduce energy cost in long run and help us reduce the environmental degradation. The paper makes an attempt to reviews the previous research to reduce and calculate embodied energy with the use of artificial neural network or otherwise. The use of artificial neural network to find optimum solution for buildings has also been studied. Since construction has become imperative part of world which in turns is causing global pollution, making better and sustainable choices in material selection may lead to a greener future.