Desenfumagem em edifícios: parque de estacionamento coberto (retail - Oeiras parque)

Os parques de estacionamento surgiram da necessidade de disponibilização de espaço de parqueamento de veículos que fazem parte do quotidiano do Homem, no entanto devido ao facto de poderem ser confinados ou subterrâneos requerem a instalação de ventilação forçada (ventiladores axiais e ventiladores de impulso). Este trabalho tem como objectivo a análise, utilizando métodos de simulação numérica da ventilação forçada criada pelos ventiladores de impulso e pelos ventiladores axiais instalados num parque de estacionamento subterrâneo. Vão ser comparadas várias simulações com situações diferentes em termos de condições de fronteira, obstruções ao escoamento, etc., por forma a tirar conclusões sobre o comportamento do parque numa situação de emergência, ou seja, num incêndio. Este comportamento vai ter em conta a eficiência de evacuação dos gases libertados, as temperaturas no parque que permitem verificar onde estão localizados os gases mais quentes e os campos de velocidade do ar que permitem uma visualização do escoamento e até certo ponto a turbulência do mesmo. No final pretende-se concluir por meio de comparação com outros documentos consultados, a “confiabilidade” do software usado (FDS-Fire Dynamics Simulator) e adicionalmente tirar conclusões sobre o projecto do parque, nomeadamente sobre a necessidade de introdução de alterações.

A trader portfolio optimization of bilateral contracts in electricity retail markets

Electricity markets are systems for effecting the purchase and sale of electricity using supply and demand to set energy prices. Two major market models are often distinguished: pools and bilateral contracts. Pool prices tend to change quickly and variations are usually highly unpredictable. In this way, market participants often enter into bilateral contracts to hedge against pool price volatility. This article addresses the challenge of optimizing the portfolio of clients managed by trader agents. Typically, traders buy energy in day-ahead markets and sell it to a set of target clients, by negotiating bilateral contracts involving three-rate tariffs. Traders sell energy by considering the prices of a reference week and five different types of clients. They analyze several tariffs and determine the best share of customers, i.e., the share that maximizes profit. © 2014 IEEE.

The impact of driving styles on fuel consumption: a data-warehouse-and-data-mining-based discovery process

This paper discusses the results of applied research on the eco-driving domain based on a huge data set produced from a fleet of Lisbon's public transportation buses for a three-year period. This data set is based on events automatically extracted from the control area network bus and enriched with GPS coordinates, weather conditions, and road information. We apply online analytical processing (OLAP) and knowledge discovery (KD) techniques to deal with the high volume of this data set and to determine the major factors that influence the average fuel consumption, and then classify the drivers involved according to their driving efficiency. Consequently, we identify the most appropriate driving practices and styles. Our findings show that introducing simple practices, such as optimal clutch, engine rotation, and engine running in idle, can reduce fuel consumption on average from 3 to 5l/100 km, meaning a saving of 30 l per bus on one day. These findings have been strongly considered in the drivers' training sessions.

Optimal brake specific fuel consumption trajectory for stand-alone variable speed Diesel Gen-Set

Energy efficiency plays an important role to the CO2 emissions reduction, combating climate change and improving the competitiveness of the economy. The problem presented here is related to the use of stand-alone diesel gen-sets and its high specific fuel consumptions when operates at low loads. The variable speed gen-set concept is explained as an energy-saving solution to improve this system efficiency. This paper details how an optimum fuel consumption trajectory based on experimentally Diesel engine power map is obtained.