Robustness methodology to aid multiobjective decision making in the electricity generation capacity expansion problem to minimize cost and water withdrawal

Jornada, Daniel Homrich da; Leon, V. Jorge

doi:10.1016/j.apenergy.2015.10.157

Cited by 19 publications

(6 citation statements)

References 41 publications

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“…Sometimes, the same water intensity has been repeatedly copied and treated as an independent observation, for example, the water intensities of coal-fired thermal power plants (TPPs) were compiled by Gleick 31 in 1993 (S66), passed on to Gleick 21 in 1994 (S4), copied by Inhaber 32 in 2004 (S55), next by Meldrum et al 22 in 2013 (S6), then by Spang et al 33 in 2014 (S37), Jornada and Leon 34 in 2016 (S141) and Jin et al 30 in 2019 (S163).…”

Section: Old Data Sources Echoing Throughout the Wenmentioning

confidence: 99%

Unreflective use of old data sources produced echo chambers in the water–electricity nexus

et al. 2021

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Section: Old Data Sources Echoing Throughout the Wenmentioning

confidence: 99%

Unreflective use of old data sources produced echo chambers in the water–electricity nexus

et al. 2021

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“…In [128], the authors present a multimarket-driven micro/mini-grid energy schedule that includes centralized and distributed market participation. Evolutionary multi-objective market-driven optimization techniques have been in more use in recent studies [153]- [155]. Authors in [126], tackle the power matching problem with multi-objective market-driven optimization that focuses on the hourly participation of customers.…”

Section: Multi-market Drivenmentioning

confidence: 99%

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

et al. 2019

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Energy Resources (DERs) are being integrated into the power market by customers rather than large scale energy suppliers, thereby slowly transforming the centralized, unidirectional market to a decentralized, bidirectional market and transitioning customers into prosumers. Various system architectures are used in the real field to coordinate the energy distribution in the micro/ mini-grids integrated with DERs, all of which have their strengths, weaknesses and challenges. Peer-to-peer (P2P) is an emerging architecture in the field of electrical energy trading and Distributed Generation (DG) management that can be applied in local energy markets. This paper focuses on P2P energy trading, with an in-depth discussion on its various operating algorithms, their principles, characteristics, features and scope through state of art review on P2P. Furthermore, the energy system of Nepal is used as a case study in this paper, and the micro/mini-grids of Nepal and their associated challenges, constraints and opportunities for improvement are discussed. Finally, an energy trading model is proposed to address the problems occurring in the specific case of Nepalese energy market.

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“…Como se nota, na revisão da literatura feita para a presente seção foram encontrados poucos trabalhos em que problemas do nexo sejam abordados a partir de IA. Existem, porém, trabalhos com uma abordagem de otimização tradicional (Cherchi et al, 2015;Jornada;Leon, 2016;Khan et al, 2018;Parkinson et al, 2018), o que indica haver espaço para o enfoque da IA evolutiva como alternativa à programação linear na busca por soluções ótimas, tais como algoritmos genéticos e enxame de partículas. Tendo em mente, ainda, que o apoio à tomada de decisão é uma das aplicações mais adequadas e bem-sucedidas da IA (Tweedale, 2014), pode-se concluir que há também muitas oportunidades a serem exploradas para aplicação dos enfoques simbólicos e conexionistas da IA nesta classe de problemas.…”

Section: Ia E O Nexo Energia-águaunclassified

Inteligência artificial em engenharia ambiental: aplicações e oportunidades

Matelli

2020

Fronteiras Da Engenharia E Ciências Ambientais: Perspectivas Multidisciplinares

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All the contents of this work, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 International license. Todo o conteúdo deste trabalho, exceto quando houver ressalva, é publicado sob a licença Creative Commons Atribição 4.0. Todo el contenido de esta obra, excepto donde se indique lo contrario, está bajo licencia de la licencia Creative Commons Reconocimento 4.0.

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Robustness methodology to aid multiobjective decision making in the electricity generation capacity expansion problem to minimize cost and water withdrawal

Cited by 19 publications

References 41 publications

Unreflective use of old data sources produced echo chambers in the water–electricity nexus

Unreflective use of old data sources produced echo chambers in the water–electricity nexus

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

Inteligência artificial em engenharia ambiental: aplicações e oportunidades

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