Development of a case-based reasoning prototype for cogeneration plant design

Matelli, José Alexandre; Bazzo, Edson; Silva, Jonny Carlos da

doi:10.1016/j.apenergy.2011.03.006

Cited by 13 publications

(5 citation statements)

References 19 publications

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“…O propósito desse sistema é projetar plantas de cogeração a gás natural, considerando acionadores primários e máquinas de refrigeração reais existentes em um banco de dados. Matelli et al (2011) apresentam o mesmo problema de projeto de plantas de cogeração a gás natural, mas abordado a partir de raciocínio baseado em casos. Demonstrou-se um protótipo cuja principal característica é a capacidade de aprender a partir da própria experiência, mas cuja capacidade de resolução é fortemente dependente da base de casos.…”

Section: Ia E Energiaunclassified

Fronteiras da engenharia e ciências ambientais: perspectivas multidisciplinares

2020

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Os impactos ambientais decorrentes da ação humana têm se tornado cada vez mais evidentes e intensos, comprometendo o equilíbrio dos ecossistemas e a disponibilidade dos recursos naturais. Nesse contexto, os aspectos sociais e econômicos amplificam a complexidade da tomada de decisões rumo ao desenvolvimento sustentável. Nesse cenário desafiador, as áreas de Engenharia e de Ciência Ambiental são fundamentais para produzir conhecimento e tecnologias capazes de conciliar a proteção ambiental com o bem-estar social e o desenvolvimento econômico. Este livro reúne contribuições de pesquisadores atuantes em diversos campos daquelas duas disciplinas, sendo direcionado, principalmente, para profissionais e alunos de pós-graduação. Além de apresentar aspectos atuais e relevantes dessas áreas, a obra fornece ao leitor uma experiência multidisciplinar da engenharia e da ciência ambiental, destacando a necessidade de integração entre diversas esferas de conhecimento na busca pelo ideal do desenvolvimento sustentável.

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Section: Ia E Energiaunclassified

Fronteiras da engenharia e ciências ambientais: perspectivas multidisciplinares

2020

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“…and has suggested several approaches and methodologies to deal with the associated problems, i.e. traditional financial or socio-economical analysis, AHP, ANP, MCDM, MOLP, case-based reasoning, and DEA [1,2,3,4,5,6,7]. In particular, literature shows that in the last decade multi-criteria methods have been widely dominant in various decision-making problems relative to many selection and, more generally, to energy planning issues in both academic and industry literature.…”

Section: Using Economical Efficiency As a Criterion To Rank And Selec...mentioning

confidence: 99%

Benchmarking Economical Efficiency of Renewable Energy Power Plants: A Data Envelopment Analysis Approach

Storto

Ferruzzi

2013

AMR

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This paper implements Data Envelopment Analysis (DEA) to calculate an efficiency measure index of 21 energy power plants that use different technologies, including both renewable and conventional types. Super-efficiency measurements are used to generate a ranking of plants based on their efficiency score that can be used to select among alternatives. It is also showed how DEA can also be adopted to estimate the amount of financial subsidies necessary to make a renewable energy plant as efficient as a conventional energy plant, by calculating the extent to which inefficient power plants over-utilize specific inputs or under-produce outputs.

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“…Figure 1. UML activity diagram of expert system prototype -The representation paradigm was chosen based on previous experiences in developing expert systems for different engineering domains, including hydraulic system (Silva & Back, 2000), cogeneration power plant design (Matelli, Bazzo & Silva, 2009;Matelli, Bazzo & Silva, 2011), and natural gas transportation modeling (Starr & Silva, 2005); -The combination of object-oriented modeling, semantic network, and rules in an incremental approach allows modularity, expandability, and robustness; -The framework allows for a rapid prototyping by the knowledge engineer, which was a benefit in this case, given previous experience and time limitations.…”

Section: Expert System Prototype For Plug Load Analysismentioning

confidence: 99%

Knowledge-Based System to Support Plug Load Management

Silva

Poll

2012

PHME_CONF

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Electrical plug loads comprise an increasingly larger share of building energy consumption as improvements have been made to Heating, Ventilation, and Air Conditioning (HVAC) and lighting systems. It is anticipated that plug loads will account for a significant portion of the energy consumption of Sustainability Base, a recently constructed high-performance office building at NASA Ames Research Center. Consequently, monitoring plug loads will be critical to achieve energy efficient operations. In this paper we describe the development of a knowledge-based system to analyze data collected from a plug load management system that allows for metering and control of individual loads. Since Sustainability Base was not yet occupied at the time of this investigation, the study was conducted in another building on the Ames campus to prototype the system. The paper focuses on the knowledge engineering and verification of a modular software system that promotes efficient use of office building plug loads. The knowledge-based system generates summary usage reports and alerts building personnel of malfunctioning equipment and unexpected plug load consumption. The system is planned to be applied to Sustainability Base and is expected to identify malfunctioning loads and reduce building energy consumption.

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Development of a case-based reasoning prototype for cogeneration plant design

Cited by 13 publications

References 19 publications

Fronteiras da engenharia e ciências ambientais: perspectivas multidisciplinares

Fronteiras da engenharia e ciências ambientais: perspectivas multidisciplinares

Benchmarking Economical Efficiency of Renewable Energy Power Plants: A Data Envelopment Analysis Approach

Knowledge-Based System to Support Plug Load Management

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