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Eficiência energética no acionamento de equipamentos de uma indústria petroquímica : modelagem multicritério de apoio a decisão utilizando MILPSantana, Delano Mendes de January 2015 (has links)
Orientador: Prof. Dr. Douglas Alves Cassiano / Dissertação (mestrado) - Universidade Federal do ABC. Programa de Pós-Graduação em Energia, 2015. / O acionamento de equipamentos rotativos na indústria petroquímica pode
ser realizado a partir de motores elétricos ou turbinas a vapor. Os motores
elétricos consomem energia elétrica e as turbinas a vapor consomem
combustíveis, como Gás Natural e o Óleo Combustível. Os custos com
estes insumos sofrem influência de vários fatores: políticas públicas, valor
do dólar, valor do preço de mercado (PLD), valores de contrato e a própria
eficiência de cada equipamento. Dessa forma, o objetivo geral deste
trabalho é identificar oportunidades de eficiência energética na gestão do
acionamento de equipamentos rotativos típicos de uma Indústria
Petroquímica brasileira. Diante de tantas influências que variam em um
curto espaço de tempo, uma ferramenta de apoio a gestão é a modelagem
de equações lineares e integrais mistas (Mixed Integer Linear
Programming ¿ MILP) para tomada de decisão com múltiplos critérios em
relação ao consumo de energia nestes equipamentos. Comprovou-se que
utilizando MILP é possível conquistar ganhos de eficiência energética. A
escolha ótima do tipo de acionamento dos equipamentos rotativos e
demais graus de liberdade apresentaram ganho anual médio de
R$ 1.679.000/ano. A modelagem com MILP se mostrou eficaz, acurada e
robusta. Foi confirmada a importância de uma modelagem e simulação de
resposta rápida e a sua execução numa frequência maior possível, uma
vez que os ganhos potenciais executando-se o modelo uma vez por dia
foram 81% maiores do executando-se uma vez por mês. Esta metodologia
apresenta um potencial de aplicação em outras plantas industriais, desde
que possuam características semelhantes à estudada. / Rotating equipments in petrochemical industry are usually driven using
steam turbines or electric motors. Electric motors consume electricity and
steam turbines consume fuels such as natural gas and fuel oil. The costs
of these energy inputs are influenced by: public policy, dollar rate, market
prices, contracts values and equipments efficiency. Thus, the aim of this
study is to identify energy efficiency opportunities at rotating equipment
drive management of a Brazilian Petrochemical Industry. With so many
influences that range in a short time, a management support tool is Mixed
Integer Linear Programming ¿ MILP for decision making with multiple
criteria. It was possible to prove that using MILP can achieve energy
efficiency gains. The optimal rotating equipment drive choice and other
degrees of freedom had an average annual gain of R$ 1,679,000/year.
MILP proved effective, accurate and robust. It confirmed the importance
of modeling and simulation with quickly response and its implementation
in a higher possible rate, since the potential gains running the model once
per day were 81% higher performing once a month. This methodology has
a potential application in other industrial plants, since they have similar
characteristics to the studied.
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Utilizing Available Maintenance Data, Experience and Skills to Enhance the Performance of Rotating Equipment Cost-Effectively - A Case StudyMoniri, Ali, Ehsanifard, Keyvan January 2012 (has links)
Nowadays, by increasing competitions in business, decision-making in maintenance management gets higher priorities. While maintenance in many industries is known as a necessary evil, making cost-effective decisions constructed based on analytical and quantitative assessments improve maintenance position from a cost center into a profit generating one. Within the scope of rotating equipment maintenance, it is vital to consider both economic and technical variables integrated to survive in the competitive market. Taking the role of improving rotating equipment performance within a cost-effective approach into account, this project proposes a consistent model followed by substantial results. The model application can be briefed in improvement of decision-making processes from technical and economic perspectives to direct them into the company profitability aligned with the company goals. Further, it proposes technical and economic indicators and improves utilization of maintenance resources including personnel skills and experience to enhance maintenance performance and develop cost-effective scenarios. Within the model, eMDSS (software) is used as an intelligent facilitator/tool which improves accurate decision-making and identifying and prioritizing maintenance problems. To ensure from the model and its tool applicability, it is applied on a real case study and reliability of the achieved results are tested and approved in detail. In result, the project is successful in evaluating previous technical and economic decisions and selecting the most cost-effective scenario for future with a saving value exceeding 133K€ and profit of 114K€ for the case equipment.
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