Applied Mathematical Modeling and Analysis in Renewable Energy

This reference text discusses latest mathematical modeling techniques and analysis for renewable energy systems, covering topics such as combustion characteristics, hierarchical demand response, inventory management, and pumped storage integration. It is aimed at graduate students and academic researchers in electrical, environmental, mechanical, and civil engineering.

Format: Hardback
Length: 198 pages
Publication date: 05 October 2021
Publisher: Taylor & Francis Ltd

This comprehensive reference text delves into the latest mathematical modeling techniques and analysis for renewable energy systems. It offers a thorough exploration of vital topics, encompassing the study of combustion characteristics in laser-ignited gasoline-air mixtures, the implementation of hierarchical demand response controllers, the mathematical modeling of an EOQ for a multi-item inventory system, and the integration and modeling of small-scale pumped storage with a micro optimization model (HOMER). With a primary focus on graduate students and academic researchers in the domains of electrical engineering, environmental engineering, mechanical engineering, and civil engineering, this text serves as a valuable resource for advancing knowledge and understanding in the field of renewable energy.

In the realm of renewable energy, applied mathematical modeling techniques play a pivotal role in optimizing storage and generation of power from diverse sources. This text delves into the effective utilization of renewable energy generation technologies, such as solar, wind, and hydroelectric power, to meet the growing energy demands. By employing mathematical models, researchers can simulate and analyze the performance of these systems, identifying areas for improvement and developing innovative solutions.

One key area of focus is the study of combustion characteristics in laser-ignited gasoline-air mixtures. Through mathematical modeling, researchers can gain insights into the complex processes occurring during combustion, such as flame propagation, heat transfer, and pollutant emissions. This knowledge can be used to optimize the design of combustion engines and improve their efficiency and sustainability.

Another important topic covered in this text is the implementation of hierarchical demand response controllers. These controllers are designed to manage the energy demand and supply in real-time, responding to changes in electricity prices and renewable energy availability. By optimizing the dispatch of energy resources, hierarchical demand response controllers can help reduce energy costs, improve grid stability, and promote the integration of renewable energy sources into the power grid.

Mathematical modeling of an EOQ for a multi-item inventory system is also discussed in detail. This model is used to optimize the inventory levels of a company, taking into account the costs of ordering, holding, and inventory management. By analyzing the demand patterns and lead times of different items, researchers can develop efficient inventory management strategies that minimize costs while ensuring customer satisfaction.

Furthermore, this text explores the integration and modeling of small-scale pumped storage with a micro optimization model (HOMER). Pumped storage systems are a promising renewable energy storage technology that can help balance the intermittent nature of renewable energy sources, such as solar and wind power. By combining pumped storage with a micro optimization model, researchers can optimize the operation of the system, maximizing its energy storage capacity and minimizing its operating costs.

In conclusion, this comprehensive reference text provides a valuable resource for graduate students and academic researchers in the fields of electrical engineering, environmental engineering, mechanical engineering, and civil engineering. It discusses applied mathematical modeling techniques in renewable energy, covering effective storage and generation of power through renewable energy generation sources, real-life applications and problems based on renewable energy, and new ways of applying mathematical techniques for applications in diverse areas of science and engineering. By advancing knowledge and understanding in these areas, researchers can contribute to the development of more sustainable and efficient renewable energy systems.

Weight: 468g
Dimension: 161 x 241 x 20 (mm)
ISBN-13: 9780367746988