Cost allocation model for distribution networks considering high penetration of distributed energy resources

The high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.

Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

Energy-efficient MAC protocols for WBANs: Opportunities and challenges

Wireless body area networks (WBANs) are expected to play a significant role in smart healthcare systems. One of the most important attributes of WBANs is to increase network lifetime by introducing novel and low-power techniques on the energy-constrained sensor nodes. Medium access control (MAC) protocols play a significant role in determining the energy consumption in WBANs. Existing MAC protocols are unable to accommodate communication requirements in WBANs. There is a need to develop novel, scalable and reliable MAC protocols that must be able to address all these requirements in a reliable manner. In this special issue, we attracted high quality research and review papers on the recent advances in MAC protocols for WBANs.

A Multiple Criteria Utility-based Approa h for the Unit Commitment with Wind Power and Pumped Storage Hydro

The integration of wind power in eletricity generation brings new challenges to unit commitment due to the random nature of wind speed. For this particular optimisation problem, wind uncertainty has been handled in practice by means of conservative stochastic scenario-based optimisation models, or through additional operating reserve settings. However, generation companies may have different attitudes towards operating costs, load curtailment, or waste of wind energy, when considering the risk caused by wind power variability. Therefore, alternative and possibly more adequate approaches should be explored. This work is divided in two main parts. Firstly we survey the main formulations presented in the literature for the integration of wind power in the unit commitment problem (UCP) and present an alternative model for the wind-thermal unit commitment. We make use of the utility theory concepts to develop a multi-criteria stochastic model. The objectives considered are the minimisation of costs, load curtailment and waste of wind energy. Those are represented by individual utility functions and aggregated in a single additive utility function. This last function is adequately linearised leading to a mixed-integer linear program (MILP) model that can be tackled by general-purpose solvers in order to find the most preferred solution. In the second part we discuss the integration of pumped-storage hydro (PSH) units in the UCP with large wind penetration. Those units can provide extra flexibility by using wind energy to pump and store water in the form of potential energy that can be generated after during peak load periods. PSH units are added to the first model, yielding a MILP model with wind-hydro-thermal coordination. Results showed that the proposed methodology is able to reflect the risk profiles of decision makers for both models. By including PSH units, the results are significantly improved.

Energia Solar Fotovoltaica como Fonte Alternativa de Produção de Energia Elétrica em Angola

Neste trabalho é efetuado o dimensionamento de sistemas fotovoltaicos para serem instalados em edificações localizadas em Angola com o objetivo de analisar a produção de energia elétrica através de sistemas fotovoltaicos. Utilizando o software PVsyst na versão 6.3.2 foram dimensionados três sistemas fotovoltaicos, dois sistemas destinados a ser instalados numa residência, um ligado à rede e o outro autónomo e por fim um sistema fotovoltaico ligado à rede para uma instalação industrial. A determinação dos custos de investimento nos três sistemas foi obtida de forma aproximada, tendo como base preços dos equipamentos no mercado Português e considerando os custos de importação de mercadorias no mercado Angolano. Para os sistemas ligados à rede é analisada a rentabilidade financeira do investimento durante o período de vida útil dos módulos fotovoltaicos considerando três cenários distintos. No primeiro cenário o valor da remuneração pela energia vendida pelo produtor é igual ao valor pago pela energia comprada. No segundo e terceiros cenário de análise económica pretende-se encontrar uma tarifa de energia que torne o investimento rentável com um período de amortização de 7 e 12 anos respetivamente.

Estudo de viabilidade técnico-económica da instalação de caldeiras a biomassa para o aquecimento central do ISEP

Neste projeto pretende-se utilizar uma fonte energética renovável (nomeadamente a biomassa), no âmbito da produção de água quente para aquecimento central das instalações do Instituto Superior de Engenharia do Porto (ISEP). O objetivo principal remete para a avaliação técnico-económica da substituição das quinze caldeiras existentes, alimentadas a gás natural, por seis caldeiras alimentadas a biomassa, nomeadamente a pellets. Desta forma, permite-se apostar na biomassa como uma alternativa para reduzir a dependência dos combustíveis fósseis. Neste trabalho apresenta-se uma comparação realista do sistema de aquecimento existente face ao novo a implementar, alimentado por um combustível renovável utilizando caldeiras a pellets de 85% de rendimento. Para realizar esta comparação, usou-se as faturas energéticas de gás natural do ISEP, o custo da quantidade equivalente necessária de pellets, os custos de manutenção dos dois tipos de caldeiras e, os custos do consumo de energia elétrica por parte de ambas as caldeiras. Com este estudo, estimou-se uma poupança anual de 84.100,76 €/ano. Determinaram-se experimentalmente, em laboratório, os parâmetros essenciais de uma amostra de pellets, que foram usados para calcular as necessidades energéticas em biomassa no ISEP, bem como a produção de cinzas gerada por parte das caldeiras. Foi proposto um destino ambientalmente adequado para os 788,5 kg/ano de cinzas obtidas – a utilização na compostagem, após tratamento e aprovação de ensaios ecotoxicológicos realizados pela empresa que fará a sua recolha. As caldeiras a pellets terão um consumo mínimo teórico de 16,47 kgpellets/h, consumindo previsivelmente 197,13 tpellets/ano. Para este efeito, serão usadas caldeiras Quioto de 150 kW da marca Zantia. Para comparar distintas possibilidades de investimento para o projeto, avaliaram-se dois cenários: um foi escolhido de forma a cobrir o somatório da potência instalada das caldeiras atuais e o outro de forma a responder aos consumos energéticos em aquecimento atuais. Além disso, avaliaram-se cenários de financiamento do investimento distintos: um dos cenários corresponde ao pagamento do investimento total do projeto no momento da aquisição das caldeiras, enquanto o outro cenário, mais provável de ser escolhido, refere-se ao pedido de um empréstimo ao banco, no valor de 75% do investimento total. Para o cenário mais provável de investimento, obteve-se um VAL de 291.364,93 €/ano, com taxa interna de rentabilidade (TIR) de 17 %, um índice de rentabilidade (IR) de 1,85 e um período de retorno (PBP) de 5 anos. Todos os cenários avaliados registam rentabilidade do projeto de investimento, sem risco para o projeto.

Providing energy efficiency location-based strategies for buildings using linked open data

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Energy efficiency in energy policy: Empirical evidence of direct rebound effect in Portuguese households' demand for electricity

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

How does household energy consumption contribute to PM10 emissions?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Merger between Zon Multimedia and Sonaecom: Revisiting the consolidation scenario

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Osmolality of Elemental and Semi-Elemental Formulas Supplemented with Nonprotein Energy Supplements

Elemental and semi-elemental formulas are used to feed infants with short bowel syndrome, who may not be able to tolerate feeds of more than 310 mOsm kg(-1). The present study aimed to measure the osmolality of elemental and semi-elemental formulas at different concentrations, with and without the addition of nonprotein energy supplements.

Acquisition of Horizon Wind Energy by EdP

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Green light for green energy: Growth in spite of crisis

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Determinants of venture capital and private equity investments in renewable energy: A cross-country study

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics