The paper is concerned with determining the optimized active areas of a photo voltaic conversion system, of a group of electricity generating wind machines and the optimal capacity of a battery storage system for a combined power plant. Minimization of the total life-cycle cost of the system is the criterion to obtaining the optimized parameters of the system. The algorithm consists of generati...

The residential sector is one of the major sources energy consumption, with a high conservation potential. Energy consumption reduction could be achieved through Energy-Efficient Renovation (EER). This paper presents systematic review EER adoption influences and diffusion modelling. starts an overview drivers, barriers, policies, then introduces influences, including socio-demographics, housing...

To investigate the variability in energy output from a network of photo-voltaic cells, solar radiation was recorded at ten sites every ten minutes in the Pentland Hills to the south of Edinburgh. We identify spatio-temporal auto-regressive moving average (STARMA) models as the most appropriate to address this problem. Although previously considered computationally prohibitive to work with, we s...

Decarbonization of existing electricity generation portfolios with large-scale renewable resources, such as wind and solar photo-voltaic (PV) facilities, is important for a transition to sustainable energy future. This paper proposes an ultra-fast optimization method economic dispatch firm thermal using high granularity, one minute resolution load, wind, PV data more accurately capture the effe...

To investigate the variability in energy output from a network of photo-voltaic cells, solar radiation was recorded at ten sites every ten minutes in the Pentland Hills to the south of Edinburgh. We identify spatio-temporal auto-regressive moving average (STARMA) models as the most appropriate to address this problem. Although previously considered computationally prohibitive to work with, we s...

Maximum Power Point Tracking (MPPT) is necessary for Solar Photo Voltaic (SPV) system. Many algorithms such as Perturb and Observe, Incremental conductance and hill climbing are available to track the maximum power. But they have disadvantages such as high cost, diffi cult to implement and instable. Artifi cial Neural Network (ANN) is suitable for handling non-linearites, uncertainties and para...

This project deals with modelling and performance evaluation of solar powered BMBLDC drive systems using MATLAB and its toolbox SIMULINK. The system consist of mathematical model of photo voltaic source, boost converter, BLDC motor, inverter, current controller an speed/torque controller is used for proposed model of solar powered PMBLDC drive system. The motor is controlled through a hysteresi...