An integrated system to support electricity tariff contract definition

This paper presents an integrated system that helps both retail companies and electricity consumers on the definition of the best retail contracts and tariffs. This integrated system is composed by a Decision Support System (DSS) based on a Consumer Characterization Framework (CCF). The CCF is based on data mining techniques, applied to obtain useful knowledge about electricity consumers from large amounts of consumption data. This knowledge is acquired following an innovative and systematic approach able to identify different consumers’ classes, represented by a load profile, and its characterization using decision trees. The framework generates inputs to use in the knowledge base and in the database of the DSS. The rule sets derived from the decision trees are integrated in the knowledge base of the DSS. The load profiles together with the information about contracts and electricity prices form the database of the DSS. This DSS is able to perform the classification of different consumers, present its load profile and test different electricity tariffs and contracts. The final outputs of the DSS are a comparative economic analysis between different contracts and advice about the most economic contract to each consumer class. The presentation of the DSS is completed with an application example using a real data base of consumers from the Portuguese distribution company.

A Study on Variations in Industrial Electricity Tariff & Regulatory Intervention in kerala State

Department of Applied Economics, Cochin University of Science and Technology

The effect of electricity tariffs over the operating costs of the Spanish wastewater treatments plants

Given the complex structure of electricity tariffs and their steady growth in Spanish, we've studied its effect over the operating costs of the wastewater treatment plants (WWTP), concluding that in the last three years the revisions of electricity rates have meant increases in electricity costs of 64.5% in the rate 3.1.A and 79.1% in the rate 6.1. This has caused the cost of electricity, which was the most important, has increased from a 44% of total operating costs in the year 2009, to more than a 56% in the year 2012.

Análise do efeito de implementação de armazenamento térmico em banco de gelo e armazenamento elétrico em baterias Sódio-Enxofre (NaS) sobre o custo de exploração de edifícios de serviços

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

A intervenção do estado na economia: um estudo de caso do setor elétrico

Estuda-se a intervenção do Estado na economia através da regulação, tendo como objeto de análise o setor elétrico brasileiro. O presente estudo tem como objetivo verificar de que forma o Estado, desde a promulgação da Constituição de 1988, buscou cumprir os princípios estabelecidos na Ordem Econômica constitucional e exercer a sua função de ente regulador, fiscalizador, planejador e indutor do crescimento econômico, no setor elétrico. Analisa-se a reforma do Estado pensada pelo ex-Ministro Bresser Pereira e a inclusão de empresas do setor elétrico no Plano Nacional de Desestatização. Observa-se que o processo de privatização permanece inacabado nos segmentos da geração e da transmissão. Investiga-se a instituição do MAE e a criação do produtor independente de energia elétrica, no contexto de uma reforma que pretendia encaminhar o setor elétrico para o livre mercado. Estuda-se a crise de racionamento e a mudança de estratégia do Governo, cuja prioridade passou a ser um maior planejamento central que garantisse a segurança energética e a expansão da geração e transmissão. Analisa-se as diferenças entre o ACL e o ACR, bem como a formação do preço da energia elétrica em cada um e conclui-se, por meio da leitura de precedentes do CADE, que trata-se do mesmo mercado relevante na dimensão produto. Investiga-se as mudanças trazidas pela MP-579 e de que forma a intervenção do Estado no setor elétrico aumentou, e os impactos que isso trouxe. Conclui-se que, a partir da edição da MP-579, a intervenção do Estado no setor elétrico aumentou com o objetivo de controlar os preços e garantir a segurança energética, mas que as mudanças regulatórias não foram bem sucedidas em manter e a tarifa da energia paga pelo consumidor final em patamares baixos, tampouco em garantir a oferta de energia elétrica suficiente para cobrir a demanda das distribuidoras.

Os impactos da MP 579, convertida na lei 12.783, nos investimentos em geração de energia do Brasil

O ano de 2012 foi um marco para o setor elétrico brasileiro. Foi um ano de muitas surpresas, debates e mudanças de paradigmas. Um setor tido anteriormente como exemplo de estabilidade e conservadorismo, passou a ser alvo de dúvidas e críticas por parte de diferentes agentes, investidores, operadores, consumidores e governantes. As bases regulatórias do setor elétrico brasileiro são muito recentes. Entretanto é notável que houve um progresso nas últimas décadas, em direção a um melhor serviço prestado à população e ao desenvolvimento de um ambiente propício ao investimento. Ambos os objetivos foram acompanhados de uma maior preocupação com o atendimento da demanda por energia, crescente no país, e com a busca por tarifas baixas de forma a não haver impactos inflacionários. Desviando desta trajetória, a edição da MP 579 em setembro de 2012 levou a um clima de insegurança para novos investimentos devido à falta de clareza a cerca de muitas regras sancionadas, consequencia do insuficiente debate com o setor privado. A MP teve como ambição diminuir a tarifa de energia paga pelo consumidor final, e usou como principal mecanismo a não renovação das concessões de geração de energia, possibilidade prevista nos contratos de concessão de cada usina de geração de energia. Esta tese faz uma análise do setor de geração energia do Brasil. Nela é estudada a matriz energética, aspectos do modelo regulatório adotado, sua evolução nas últimas décadas, e a motivação para a sanção da MP. O objetivo central é estudar seu impacto nos investimentos no setor.

Análise de um sistema de cogeração empregando turbina a gás aplicada a uma indústria de malte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Performance of UV-enhanced PMMA fresnel lenses and impact on LCOE

Tiny increases in the transmittance of optical materials within a CPV module can have an important impact on the economy of a plant. This is certainly true in systems comprising multi-junction solar cells, whose high performance, based on a balanced photocurrent generation among the series-connected junctions, is very sensitive to spectrum variations. Every efficiency point gained causes not only an increase in the kilowatts hour produced, but a higher benefit on it, since the difference between electricity tariff and Levelized Cost of Electricity (LCOE) rises. This work studies the impact on the LCOE of a plant based on modules comprising PMMA lenses of two different types, standard UV blocking grade which is normally used for outdoor applications at high DNI climate and a specialty stabilized UV-enhanced transmittance acrylic (see Figure 1). Energy production will be compared for these two systems throughout the year at different sites to analyze when (season, time of the day) and where the usage of the enhanced PMMA is justified.

Distribuição de derivados de petróleo por redes de polidutos: uma abordagem através de algoritmos evolucionários híbridos para um problema triobjetivo

An important problem faced by the oil industry is to distribute multiple oil products through pipelines. Distribution is done in a network composed of refineries (source nodes), storage parks (intermediate nodes), and terminals (demand nodes) interconnected by a set of pipelines transporting oil and derivatives between adjacent areas. Constraints related to storage limits, delivery time, sources availability, sending and receiving limits, among others, must be satisfied. Some researchers deal with this problem under a discrete viewpoint in which the flow in the network is seen as batches sending. Usually, there is no separation device between batches of different products and the losses due to interfaces may be significant. Minimizing delivery time is a typical objective adopted by engineers when scheduling products sending in pipeline networks. However, costs incurred due to losses in interfaces cannot be disregarded. The cost also depends on pumping expenses, which are mostly due to the electricity cost. Since industrial electricity tariff varies over the day, pumping at different time periods have different cost. This work presents an experimental investigation of computational methods designed to deal with the problem of distributing oil derivatives in networks considering three minimization objectives simultaneously: delivery time, losses due to interfaces and electricity cost. The problem is NP-hard and is addressed with hybrid evolutionary algorithms. Hybridizations are mainly focused on Transgenetic Algorithms and classical multi-objective evolutionary algorithm architectures such as MOEA/D, NSGA2 and SPEA2. Three architectures named MOTA/D, NSTA and SPETA are applied to the problem. An experimental study compares the algorithms on thirty test cases. To analyse the results obtained with the algorithms Pareto-compliant quality indicators are used and the significance of the results evaluated with non-parametric statistical tests.

Management of public water supply to reduce power cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Management of public water supply to reduce energy cost and improve wind power uptake

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Project finance in Hungarian electricity sector. Effect of feed-in tariff system’s change onto power plant investments

The research analyses the former and the current status of the small gas-motor power plant investments in the Hungarian energy sector. It discusses the development of project financing in the segment and the major changes and effects of new regulations and subsidy-policy implemented in 2010. The objective of this paper is to present the results of an empirical research of the so called GCHP projects, and to draw conclusion concerning how classic project financing conditions were present and changed during the last decade, and how regulation affected the current and future financial status of these projects.

A congestion management and transmission price simulator for competitive electricity markets

In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.