Добірка наукової літератури з теми "Eco-efficient control strategies"

Environmental regulations demand efficient and eco-friendly ways of power generation. Coal continues to play a vital role in power generation because of its availability in abundance. Power generation using coal leads to local pollution problems. Hence this conflicting situation demands a new technology - Integrated Gasification Combined Cycle (IGCC). Gasifier is one of the subsystems in IGCC. It is a multivariable system with four inputs and four outputs with higher degree of cross coupling between the input and output variables. ALSTOM – a multinational and Original Equipment Manufacturer (OEM) - developed a detailed nonlinear mathematical model, validated made this model available to the academic community and demanded different control strategies which will satisfy certain stringent performance criteria during specified disturbances. These demands of ALSTOM are well known as “ALSTOM Benchmark Challenges”. The chapter is addressed to solve Alstom Benchmark Challenges using Proportional-Integral-Derivative-Filter (PIDF) controllers optimised by Genetic Algorithm.

Environmental regulations demand efficient and eco-friendly ways of power generation. Coal continues to play a vital role in power generation because of its availability in abundance. Power generation using coal leads to local pollution problems. Hence this conflicting situation demands a new technology - Integrated Gasification Combined Cycle (IGCC). Gasifier is one of the subsystems in IGCC. It is a multivariable system with four inputs and four outputs with higher degree of cross coupling between the input and output variables. ALSTOM – a multinational and Original Equipment Manufacturer (OEM) - developed a detailed nonlinear mathematical model, validated made this model available to the academic community and demanded different control strategies which will satisfy certain stringent performance criteria during specified disturbances. These demands of ALSTOM are well known as “ALSTOM Benchmark Challenges”. The chapter is addressed to solve Alstom Benchmark Challenges using Proportional-Integral-Derivative-Filter (PIDF) controllers optimised by Genetic Algorithm.

Buildings consume nearly one-third of global energy and are responsible for one-fourth of CO2 emissions, thereby playing a crucial role in polluting the earth. Cities are more vulnerable as there are more buildings and a huge population due to employment opportunities. Hence, there is a need for the transformation of cities into smart cities with viable environments by making buildings smart. Smart cities with energy-efficient buildings can improve the economy and reduce pollution effects, thereby improving the quality of city life. As human errors and carelessness jeopardise energy conservation and eco-friendly initiatives in traditional buildings, automatic internet of things (IOT) monitored building control, also known as a smart building, is a need of the hour if the world is to advance toward smart cities. The management of the cities should estimate their energy consumption in advance and plan strategies that will help in reducing the energy consumption of both commercial and residential buildings towards creating a pollution-free smart city. The IOT sensors produce continuous streaming data, which necessitates big data analysis to improve the performance of building in terms of energy consumption. Big data analysis based on machine learning techniques is currently being employed for such an automatic analysis and management of buildings based on IOT sensor data. This chapter focuses on bringing out the commercially available IOT sensors for collecting building data, their efficiencies, extracted features and the commonly used machine learning techniques, their strengths, and drawbacks and also identifies the research gap and work to be done for further improving big data analysis of smart energy management.

Nowadays in many industrial applications, i.e. electrical household appliances, it is necessary to have a robust and safe control for some variables involved in the analysis of the performances of different products. In addition, the recent eco-design directives require products increasingly eco-friendly and eco-efficient, preserving high-performance but a low power consumption. For these reasons, the physical prototypes of products require many expensive and complex tests in term of time, resources and qualified personnel involved. To overcome these limitations, the proposed approach is focus

An observable trend nowadays is the change in the prime movers of mobile heavy machinery to electric alternatives to achieve more eco-friendly equipment. These solutions often require large and heavy batteries with limited capacity, making the research of more efficient components and the development of different system architectures an important topic of study. Hydraulic actuation is still a relevant application for these vehicles because of its reliability, controllability, and high power density. The electrification and digitalization of mobile machinery allow for innovative designs and con

Abstract Due to the effect of global warming, navigation on the Northern Sea Route (NSR) has become a more economical and reliable choice for international cargo transportation. In some ways, global warming has increased the opportunity of shipping activities in the Arctic region and hence the need for ice-capable vessels. NSR shipping provides benefits for international trade, but challenges still exist. Although conventional direct drive propulsion system connected to 2 stroke marine engine is normally considered the most efficient approach for long-range transport, for icebreaking operation