Antioxidant properties of hydroxycinnamic acids: a review of structure- activity relationships

Hydroxycinnamic acids (HCAs) are important phytochemicals possessing significant biological properties. Several investigators have studied in vitro antioxidant activity of HCAs in detail. In this review, we have gathered the studies focused on the structure-activity relationships (SARs) of these compounds that have used medicinal chemistry to generate more potent antioxidant molecules. Most of the reports indicated that the presence of an unsaturated bond on the side chain of HCAs is vital to their activity. The structural features that were reported to be of importance to the antioxidant activity were categorized as follows: modifications of the aromatic ring, which include alterations in the number and position of hydroxy groups and insertion of electron donating or withdrawing moieties as well as modifications of the carboxylic function that include esterification and amidation process. Furthermore, reports that have addressed the influence of physicochemical properties including redox potential, lipid solubility and dissociation constant on the antioxidant activity were also summarized. Finally, the pro-oxidant effect of HCAs in some test systems was addressed. Most of the investigations concluded that the presence of ortho-dihydroxy phenyl group (catechol moiety) is of significant importance to the antioxidant activity, while, the presence of three hydroxy groups does not necessarily improve the activity. Optimization of the structure of molecular leads is an important task of modern medicinal chemistry and its accomplishment relies on the careful assessment of SARs. SAR studies on HCAs can identify the most successful antioxidants that could be useful for management of oxidative stress-related diseases.

Estudo da gasificação do glicerol em reator de leito fixo

As metas da União Europeia para 2020 em termos de biocombustíveis e biolíquidos traduziram-se, na última década, num destaque da indústria de biodiesel em Portugal. Inerente ao processo de produção biodiesel está um subproduto, o glicerol bruto, cujo estudo tem vindo a ser alvo de interesse na comunidade científica. O objetivo principal deste trabalho consistiu no estudo da gasificação do glicerol técnico e do glicerol bruto, usando vapor como agente oxidante. Pretendeu-se avaliar a composição do gás de produção obtido e os parâmetros de gasificação, como a percentagem de conversão de carbono e de hidrogénio, o rendimento de gás seco, a eficiência de gás frio e o poder calorífico do gás produzido. No estudo da gasificação do glicerol técnico avaliou-se o efeito da temperatura na performance do processo, entre 750 – 1000 ºC, e estudou-se ainda o efeito do caudal de alimentação ao reator (3,8 mL/min, 6,5 mL/min e 10,0 mL/min). Para o caudal mais baixo, estudou-se o efeito da razão de mistura glicerol/água (25/75, 40/60, 60/40 e 75/25) e para a razão de mistura 60/40 foi avaliada a influência da adição de ar como agente gasificante. O estudo da gasificação do glicerol bruto foi feito realizando ensaios de gasificação numa gama de temperaturas de 750 ºC a 1000 ºC, para uma razão de mistura glicerol/água (60/40) com o caudal de 3,8 mL/min e usando apenas vapor de água como agente de gasificação. Os ensaios foram realizados num reator de leito fixo de 500 mm de comprimento e 90 mm de diâmetro interno, composto por um leito de alumina com partículas de 5 mm de diâmetro. O aquecimento foi realizado com um forno elétrico de 4 kW. A amostra de gás de produção recolhida foi analisada por cromatografia gasosa com detector de termocondutividade. Os resultados obtidos na gasificação do glicerol técnico, revelaram que a temperatura é uma variável preponderante no desempenho do processo de gasificação. À exceção do poder calorífico superior, para o qual se obteve uma ligeira diminuição de valores com o aumento da temperatura, os valores mais elevados dos parâmetros de gasificação foram obtidos para temperaturas superiores a 900 ºC. Esta temperatura parece ser determinante no modelo cinético de gasificação do glicerol, condicionando a composição do gás de produção obtido. Concluiu-se ainda que, na gama de caudais testada, o caudal de alimentação ao reator não teve influência no processo de gasificação. Os ensaios realizados para avaliar o efeito da razão de mistura permitiram verificar que, o aumento da adição de água à alimentação se traduz na redução do teor de CO e de CH4 e no aumento do teor de H2 e CO2, no gás de produção. Para a razão de mistura 25/75 foram obtidos valores de 1,3 para o rácio H2/CO para temperaturas superiores a 900 ºC. A influência da adição de água tornou-se mais evidente nos ensaios de gasificação realizados a temperaturas superiores a 900 ºC. Verificou-se um aumento da conversão de carbono, do rendimento de gás seco e da eficiência do gás frio e uma ligeira diminuição do poder calorífico e da potência disponível, no gás de produção. Para as razões de misturas 60/40 e 40/60 obtiveram-se resultados, para os parâmetros de gasificação, da mesma ordem de grandeza e com valores intermédios entre os obtidos para as razões de mistura 25/75 e 75/25. Porém, quanto maior o teor de água alimentado maior o consumo de energia associado à vaporização da água. Assim, o aumento do teor de água na mistura só apresentará interesse industrial se o objetivo passar pela produção de hidrogénio. Quanto ao efeito da adição de ar como agente de gasificação, os resultados obtidos dão indicação que se poderão potenciar algumas reações exotérmicas que contribuirão para a redução do consumo energético global do processo. Por outro lado, o gás de produção apresentou um rácio H2/CO interessante do ponto de vista da sua aplicação industrial, superior em 35 % ao verificado para a gasificação efetuada apenas na presença de vapor. À exceção do decréscimo no valor do poder calorífico superior do gás de produção, os restantes parâmetros estudados apresentaram a mesma ordem de grandeza, dos obtidos para o estudo da mesma razão de mistura na ausência de ar. Relativamente ao estudo da gasificação do glicerol bruto, obtiveram-se valores de rácio H2/CO e eficiência de gás frio mais elevados que os valores obtidos para a mesma razão de mistura usando glicerol técnico. Os demais parâmetros de gasificação avaliados mostraram-se semelhantes entre as duas matérias-primas, verificando-se apenas uma ligeira diminuição no valor do poder calorífico superior do gás produzido com glicerol bruto. Os resultados obtidos demonstram a possibilidade de valorização energética do glicerol bruto resultante da produção de biodiesel.

DITRANS - a multi-agent system for integrated diagnosis of power transformers

This paper describes the development and the implementation of a multi-agent system for integrated diagnosis of power transformers. The system is divided in layers which contain a number of agents performing different functions. The social ability and cooperation between the agents lead to the final diagnosis and to other relevant conclusions through integrating various monitoring technologies, diagnostic methods and data sources, such as the dissolved gas analysis.

MASCEM improvement for agent based coalitions

This paper presents MASCEM - Multi-Agent Simulator for Electricity Markets improvement towards an enlarged model for Seller Agents coalitions. The simulator has been improved, both regarding its user interface and internal structure. The OOA, used as development platform, version was updated and the multi-agent model was adjusted for implementing and testing several negotiations regarding Seller agents’ coalitions. Seller coalitions are a very important subject regarding the increased relevance of Distributed Generation under liberalised electricity markets.

MASGriP – a Multi-Agent Smart Grid Simulation Platform

The increasing number of players that operate in power systems leads to a more complex management. In this paper a new multi-agent platform is proposed, which simulates the real operation of power system players. MASGriP – A Multi-Agent Smart Grid Simulation Platform is presented. Several consumer and producer agents are implemented and simulated, considering real characteristics and different goals and actuation strategies. Aggregator entities, such as Virtual Power Players and Curtailment Service Providers are also included. The integration of MASGriP agents in MASCEM (Multi-Agent System for Competitive Electricity Markets) simulator allows the simulation of technical and economical activities of several players. An energy resources management architecture used in microgrids is also explained.

A multi-agent based approach for intelligent smart grid management

The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players’ behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles’ batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.

Multi-agent simulation of continental, regional, and micro electricity markets

Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

Agent-based simulation of electronic marketplaces with decision support

This paper presents a Multi-Agent Market simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agents reactions.

Multi-agent electricity market simulation with dynamic strategies & virtual power producers

Distributed energy resources will provide a significant amount of the electricity generation and will be a normal profitable business. In the new decentralized grid, customers will be among the many decentralized players and may even help to co-produce the required energy services such as demand-side management and load shedding. So, they will gain the opportunity to be more active market players. The aggregation of DG plants gives place to a new concept: the Virtual Power Producer (VPP). VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. In this paper we propose the improvement of MASCEM, a multi-agent simulation tool to study negotiations in electricity spot markets based on different market mechanisms and behavior strategies, in order to take account of decentralized players such as VPP.

A new approach for multi-agent coalition formation and management in the scope of electricity markets

This paper presents a new methodology for the creation and management of coalitions in Electricity Markets. This approach is tested using the multi-agent market simulator MASCEM, taking advantage of its ability to provide the means to model and simulate VPP (Virtual Power Producers). VPPs are represented as coalitions of agents, with the capability of negotiating both in the market, and internally, with their members, in order to combine and manage their individual specific characteristics and goals, with the strategy and objectives of the VPP itself. The new features include the development of particular individual facilitators to manage the communications amongst the members of each coalition independently from the rest of the simulation, and also the mechanisms for the classification of the agents that are candidates to join the coalition. In addition, a global study on the results of the Iberian Electricity Market is performed, to compare and analyze different approaches for defining consistent and adequate strategies to integrate into the agents of MASCEM. This, combined with the application of learning and prediction techniques provide the agents with the ability to learn and adapt themselves, by adjusting their actions to the continued evolving states of the world they are playing in.

Multi-agent based electricity market simulator with VPP: Conceptual and implementation issues

This paper presents a new architecture for the MASCEM, a multi-agent electricity market simulator. This is implemented in a Prolog which is integrated in the JAVA program by using the LPA Win-Prolog Intelligence Server (IS) provides a DLL interface between Win-Prolog and other applications. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets.

Multi-apprentice learning for meta-heuristics parameter tuning in a multi agent scheduling system

The scheduling problem is considered in complexity theory as a NP-hard combinatorial optimization problem. Meta-heuristics proved to be very useful in the resolution of this class of problems. However, these techniques require parameter tuning which is a very hard task to perform. A Case-based Reasoning module is proposed in order to solve the parameter tuning problem in a Multi-Agent Scheduling System. A computational study is performed in order to evaluate the proposed CBR module performance.

Cooperation mechanism for team-work based multi-agent system in dynamic scheduling through meta-heuristics

This paper describes a Multi-agent Scheduling System that assumes the existence of several Machines Agents (which are decision-making entities) distributed inside the Manufacturing System that interact and cooperate with other agents in order to obtain optimal or near-optimal global performances. Agents have to manage their internal behaviors and their relationships with other agents via cooperative negotiation in accordance with business policies defined by the user manager. Some Multi Agent Systems (MAS) organizational aspects are considered. An original Cooperation Mechanism for a Team-work based Architecture is proposed to address dynamic scheduling using Meta-Heuristics.

Personality, emotion, and mood in agent-based group decision making

Group decision making plays an important role in organizations, especially in the present-day economy that demands high-quality, yet quick decisions. Group decision-support systems (GDSSs) are interactive computer-based environments that support concerted, coordinated team efforts toward the completion of joint tasks. The need for collaborative work in organizations has led to the development of a set of general collaborative computer-supported technologies and specific GDSSs that support distributed groups (in time and space) in various domains. However, each person is unique and has different reactions to various arguments. Many times a disagreement arises because of the way we began arguing, not because of the content itself. Nevertheless, emotion, mood, and personality factors have not yet been addressed in GDSSs, despite how strongly they influence results. Our group’s previous work considered the roles that emotion and mood play in decision making. In this article, we reformulate these factors and include personality as well. Thus, this work incorporates personality, emotion, and mood in the negotiation process of an argumentbased group decision-making process. Our main goal in this work is to improve the negotiation process through argumentation using the affective characteristics of the involved participants. Each participant agent represents a group decision member. This representation lets us simulate people with different personalities. The discussion process between group members (agents) is made through the exchange of persuasive arguments. Although our multiagent architecture model4 includes two types of agents—the facilitator and the participant— this article focuses on the emotional, personality, and argumentation components of the participant agent.

Multi-agent system for personalization of location-based services

The current ubiquitous network access and increase in network bandwidth are driving the sales of mobile location-aware user devices and, consequently, the development of context-aware applications, namely location-based services. The goal of this project is to provide consumers of location-based services with a richer end-user experience by means of service composition, personalization, device adaptation and continuity of service. Our approach relies on a multi-agent system composed of proxy agents that act as mediators and providers of personalization meta-services, device adaptation and continuity of service for consumers of pre-existing location-based services. These proxy agents, which have Web services interfaces to ensure a high level of interoperability, perform service composition and take in consideration the preferences of the users, the limitations of the user devices, making the usage of different types of devices seamless for the end-user. To validate and evaluate the performance of this approach, use cases were defined, tests were conducted and results gathered which demonstrated that the initial goals were successfully fulfilled.