Evaluation and Analysis of Least Square and Exponential Regression Techniques for Consumer Energy Consumption Requirement | Chapter 8 | Technological Innovation in Engineering Research Vol. 6

 

 The analysis of the load projection and energy consumption is the main objective of this work. For a twenty-year (20 years) prediction in the Nigerian power system, this study used the least-square regression and exponential regression models to predict long-term power consumption. The Matlab platform implementation of the model plots the residential load demand, business load demand, and industrial load demand. The results show that each generating station's output of energy, including the Sapele Thermal Power Station and the Egbin Thermal Power Station in Lagos, among others, is appallingly inadequate. The results also show a difference between the available power and the anticipated energy demand (MW) (or capacity allocated). Evidently, the least-square exhibits linear behavior, while the exponential exhibits non-linear behavior, in the comparison plot for the linear and exponential models, which show a similar pattern of prediction, the linear model delivers results that are more accurate than the exponential.

Author(s) Details:

S. L. Braide,
Department of Electrical/Computer Engineering, Rivers State University, Port Harcourt, Rivers State, Nigeria.

Please see the link here: https://stm.bookpi.org/TIER-V6/article/view/7605

Modeling and Parameters Identification of PEM Fuel Cell for Application to a Hybrid Vehicle System | Chapter 5 | Research Trends and Challenges in Physical Science Vol.8

 In this chapter, we are interested in the research of fuel cell instrumentation, particularly that of the proton exchange membrane type PEM, by measuring complex impedance in order to predict faults and avoid serious stack problems such as drowning or reversal phenomena. As a result, this paper examines the vehicle's model description, with a focus on the Powertrain's design and modelling. The fuel cell vehicle's power system includes a fuel cell, a DC/DC converter, a three-phase inverter, and a PM synchronous motor. Our goal is to reduce the amount of hydrogen used by a Proton Exchange Membrane (PEM) Fuel Cell. To achieve this purpose, the system is regulated by an Energy Management Strategy (EMS), which minimises fuel cell power demand transitions and so enhances the system's longevity. For the NEDC, the suggested energy management strategy is assessed (New European Driving Cycle). The obtained findings show that the proposed energy management technique is effective in reducing hydrogen use.

Author(s) Details:

Mohamed Sélmene Ben Yahia,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.


Wahib Andari,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.


Hatem Allagui,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.


Abdelkader Mami,
Faculty of Sciences of Tunis, University of Tunis El Manar, Laboratory of Research in Energy Efficiency Application and Renewable Energy LAPER, Tunis, Tunisia.

Please see the link here: https://stm.bookpi.org/RTCPS-V8/article/view/6011