Artificial intelligence application to the nexus of renewable energy, water, and the environment

Zhengxuan Liu; Yangzi Qiu; Shahryar Jafarinejad

doi:10.1016/B978-0-443-13439-5.00012-0

Artificial intelligence application to the nexus of renewable energy, water, and the environment

Zhengxuan Liu, Yangzi Qiu, Shahryar Jafarinejad

Design & Construction Management

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Abstract

Energy, water, and the environment have remarkably complex interrelationships, with these linkages being both direct and indirect. The innovative development of artificial intelligence (AI) technologies brings significant opportunities for investigating renewable energy (RE), water, and the environment and presents a multitude of challenges. Using AI to promote sustainable production and consumption of RE and water and protection of the environment has become a hot research area that enables AI to empower sustainable human development and promote its own sustainable development. However, there are few summaries and analyses of studies on the application of AI to RE, water, and environment (REWE) nexus. The objective of this chapter is to discuss the application of AI to the REWE nexus. First, this chapter presents and analyzes the AI techniques that are applicable to RE, water, and the environment fields, respectively, and categorizes and integrates them. Also, the chapter summarizes AI application in the REWE nexus. Furthermore, the chapter analyzes the application feasibility of AI for establishing city-level REWE nexus studies and identifies challenges and barriers to their implementation. Finally, the chapter presents the future perspectives for the application of AI to urban-level REWE nexus.

Original language	English
Title of host publication	The Renewable Energy-Water-Environment Nexus
Subtitle of host publication	Fundamentals, Technology, and Policy
Editors	Shahryar Jafarinejad, Bryan S. Beckingham
Publisher	Elsevier
Chapter	12
Pages	399-422
Number of pages	24
ISBN (Electronic)	9780443134401
ISBN (Print)	9780443134395
DOIs	https://doi.org/10.1016/B978-0-443-13439-5.00012-0
Publication status	Published - 2023

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Artificial intelligence
environment
renewable energy
sustainable development
water

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/B978-0-443-13439-5.00012-0

Artificial intelligence application to the nexus of renewable energy, water, and the environmentFinal published version, 1.02 MB

Cite this

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title = "Artificial intelligence application to the nexus of renewable energy, water, and the environment",

abstract = "Energy, water, and the environment have remarkably complex interrelationships, with these linkages being both direct and indirect. The innovative development of artificial intelligence (AI) technologies brings significant opportunities for investigating renewable energy (RE), water, and the environment and presents a multitude of challenges. Using AI to promote sustainable production and consumption of RE and water and protection of the environment has become a hot research area that enables AI to empower sustainable human development and promote its own sustainable development. However, there are few summaries and analyses of studies on the application of AI to RE, water, and environment (REWE) nexus. The objective of this chapter is to discuss the application of AI to the REWE nexus. First, this chapter presents and analyzes the AI techniques that are applicable to RE, water, and the environment fields, respectively, and categorizes and integrates them. Also, the chapter summarizes AI application in the REWE nexus. Furthermore, the chapter analyzes the application feasibility of AI for establishing city-level REWE nexus studies and identifies challenges and barriers to their implementation. Finally, the chapter presents the future perspectives for the application of AI to urban-level REWE nexus.",

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Artificial intelligence application to the nexus of renewable energy, water, and the environment. / Liu, Zhengxuan; Qiu, Yangzi; Jafarinejad, Shahryar.
The Renewable Energy-Water-Environment Nexus: Fundamentals, Technology, and Policy. ed. / Shahryar Jafarinejad; Bryan S. Beckingham. Elsevier, 2023. p. 399-422.

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Artificial intelligence application to the nexus of renewable energy, water, and the environment

Abstract

Bibliographical note

Keywords

UN SDGs

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