Sustainable design for renewable processes principles and case studies /
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
San Diego :
Elsevier,
2021.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover
- Sustainable Design for Renewable Processes
- Copyright Page
- Dedication
- Contents
- List of contributors
- Preface
- 1 Resources and raw materials
- 1 Management of renewable energy sources
- 1.1 Introduction
- 1.2 Biomass
- 1.2.1 Biomass conversion processes
- 1.2.1.1 Thermochemical conversion processes
- 1.2.1.2 Biochemical conversion processes
- 1.2.1.3 Chemical conversion processes
- 1.2.2 Biofuels
- 1.3 Hydropower
- 1.3.1 Hydropower
- 1.3.1.1 Classification of hydropower plants
- 1.3.1.2 Conventional hydropower plants
- 1.3.1.3 Run-of-river hydropower plants
- 1.3.1.4 Pumped storage hydropower plants
- 1.3.2 Marine energy
- 1.3.2.1 Tidal energy
- 1.3.2.1.1 Tidal barrages
- 1.3.2.1.2 Tidal turbines
- 1.3.2.1.3 Tidal fences
- 1.3.2.2 Wave energy
- 1.3.2.2.1 Oscillating water column
- 1.3.2.2.2 Wave Overtopping reservoir
- 1.3.2.2.3 Attenuator
- 1.3.2.2.4 Surface point absorber
- 1.3.2.2.5 Ocean thermal energy conversion
- 1.4 Geothermal power
- 1.4.1 Geothermal uses
- 1.4.1.1 Direct use of geothermal energy
- 1.4.1.1.1 Types of geothermal heat pumps
- 1.4.1.2 Indirect use of geothermal energy
- 1.4.1.2.1 Dry steam power plants
- 1.4.1.2.2 Flash steam power plants
- 1.4.1.2.3 Binary cycle power plants
- 1.5 Wind power
- 1.5.1 Types of wind energy
- 1.5.2 Wind turbines
- 1.6 Solar energy
- 1.6.1 Solar technologies
- 1.6.1.1 Solar photovoltaic
- 1.6.1.2 Solar thermal technology
- 1.6.1.2.1 Linear concentrator systems
- 1.6.1.2.2 Dish/engine systems
- 1.6.1.2.3 Power tower systems
- 1.7 Renewable energy integration and flexibility
- References
- 2 Design principles
- 2 Mathematical modeling for renewable process design
- 2.1 Modeling approaches for process synthesis
- 2.1.1 Mechanistic models
- 2.1.2 Empirical models
- 2.1.2.1 Machine Learning-based models
- 2.2 Process simulation
- 2.2.1 Equation-based simulation
- 2.2.1.1 Linear problems
- 2.2.1.2 Nonlinear problems
- 2.2.1.2.1 Methods based on divisions
- 2.2.1.2.2 Methods based on fixed point
- 2.2.1.2.2.1 Newton method
- 2.2.1.3 Ordinary differential equations
- 2.2.1.3.1 Single step
- 2.2.1.3.1.1 Explicit
- 2.2.1.3.1.2 Implicit
- 2.2.1.3.2 Multistep methods
- 2.2.1.4 Differential algebraic system of equations
- 2.2.1.4.1 Nested approach
- 2.2.1.4.2 Simultaneous
- 2.2.1.4.3 Shooting methods
- 2.2.1.4.4 Finite differences
- 2.2.2 Sequential modular-based simulation
- 2.3 Process integration and optimization
- 2.3.1 Optimization problems
- 2.3.1.1 Linear programming problems
- 2.3.1.1.1 Simplex method
- 2.3.1.1.2 Interior point methods
- 2.3.1.1.2.1 Bilevel optimization
- 2.3.1.2 Mixed integer linear programming problems
- 2.3.1.2.1 Big-M
- 2.3.1.2.2 Convex hull
- 2.3.1.3 Nonlinear programming
- 2.3.1.4 Mixed integer nonlinear programming
- 2.3.1.5 Optimization involving dynamic models
- 2.3.1.6 Global optimization