Renewable Energy Distribution and Management in Green Buildings

Sumant Kumar, Gurjit Kaur
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Abstract

There are various environmental problems (i.e., “global warming,” air and water pollution), which need to be prevented. Construction of buildings plays a significant role in pollution. To reduce the harmful effects in constructing buildings, it is necessary to move on to sustainable architecture. In this chapter, different advantages and standards for green buildings will be discussed. Different organizations are contributing towards a green environment. There are even different sensors that are able to detect wastage of energy and can predict the requirement of energy. Machine learning, a hot topic these days, can also play its role in demand prediction. In this chapter, role of network communication and sensing to optimize the energy of green buildings and machine learning-based demand prediction to optimize the energy of green buildings are discussed. Further predicting energy harvesting from weather forecasts, return on investment of green buildings, and potential benefits of energy-efficient green buildings are also discussed.
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绿色建筑中的可再生能源分配与管理
有各种各样的环境问题(如“全球变暖”、空气和水污染)需要预防。建筑在污染中起着重要作用。为了减少建筑的有害影响,有必要转向可持续建筑。在本章中,将讨论绿色建筑的不同优势和标准。不同的组织都在为绿色环境做出贡献。甚至有不同的传感器能够检测能源的浪费,并可以预测能源的需求。机器学习是最近的一个热门话题,它也可以在需求预测中发挥作用。本章讨论了网络通信和感知在绿色建筑能源优化中的作用,以及基于机器学习的需求预测在绿色建筑能源优化中的作用。本文还讨论了从天气预报中进一步预测能源收集、绿色建筑的投资回报率以及节能绿色建筑的潜在效益。
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