Browsing by Author "Jorge, H. M."
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- HVAC system energy optimization in indoor swimming poolsPublication . ribeiro, eliseu; Jorge, H. M.; Quintela, D. A.Buildings with indoor swimming pools are recognised as very high-energy consumers and present a grate potential for saving energy. The management of indoor ambient conditions must act upon the most sensible parameters that affect the energy consumption; the energy is spending in several ways: Evaporation heat loss from the pool; ambient temperatures very high; and High rates of ventilation required. Control Strategies adapted to the reality of each building is an important way to reduce energy consumption. These paper presents control strategies that can implemented in the building automation system and the HVAC system of an existing indoor swimming pool complex, in order to minimise energy consumption. Taking into account the complexity of the parameters involved in a feasibility study of measures to reduce the energy consumption of the building, the choice of energy simulation programs is actually the better way, either from both economical and time perspectives, to quantify the benefits that can achieved by different control strategy. In the present case study, an appropriate control strategy, in conjunction with pool cover at night and electrical consumption reducing during peak hours, considered as rational use of energy measure, can lead to the reduction of 85 toe/year, which represents 25.125€ in 2006 energy price savings.
- Network reconfiguration to improve reliability and efficiency in distribution systemsPublication . Vitorino, Romeu; Pires Neves, Luís; Jorge, H. M.This paper presents a new method to improve reliability and also minimize active power losses in radial distribution systems (RDS) through a process of network reconfiguration. The methodology adopted to enhance reliability, uses the Monte Carlo (MC) simulation and an historical data of the network such as the severity of the potential contingencies in each branch. Due to the greater number of possible configurations and the need of an efficient search, is also used an improved genetic algorithm (IGA), with adaptive crossover and mutation probabilities and with other new features. The method analyses the RDS in a perspective of optimization considering no investment, and a perspective of optimization where is given the possibility to place a limited number of tie-switches, defined by a decision agent, in certain branches. The effectiveness of the proposed method is demonstrated through the analysis of a 69 bus RDS.