Case Studies in Energy Systems : A Practical Approach to Energy System Design and Analysis.

Case Studies in Energy Systems: A Practical Approach to Energy System Design and Analysis demonstrates the application of both fundamental and advanced principles by providing a broad range of case studies, examples, and models.

Bibliographic Details
Main Author: Bianco, Vincenzo
Corporate Author: Knovel (Firm)
Format: eBook
Language:English
Published: Chantilly : Elsevier, 2025.
Edition:1st ed.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Case Studies in Energy Systems
  • Case Studies in Energy Systems: A Practical Approach to Energy System Design and Analysis
  • Copyright
  • Contents
  • Contributors
  • 1
  • Introduction
  • 1. What is an energy resource?
  • 2. Energy systems and the concept of primary energy
  • 3. Energy demand and energy supply
  • 4. Energy efficiency and renewable energy systems
  • 5. Case study education: History, current applications and future perspectives
  • References
  • 2
  • Transient heat transfer modelling in buildings based on the thermo-electric analogy
  • 1. Introduction
  • 2. Methodology
  • 2.1 Lumped-capacitance approach
  • 2.2 Example: Dynamic modelling of a thermal storage
  • 3. Case study
  • 3.1 Wall RC model
  • 3.2 Simplified building lumped-RC model
  • 3.2.1 Governing equation
  • 3.2.2 Problem implementation
  • 4. Conclusions
  • References
  • 3
  • Modelling of thermodynamic cycles in Python
  • 1. Introduction
  • 2. Overview of CoolProp for property calculation in Python
  • 2.1 Property calculation in Python
  • 2.2 User-defined class for fluid state definition
  • 2.3 Thermodynamic diagram plotting
  • 3. Fundamentals of energy analysis of thermodynamic cycles in Python
  • 3.1 Simple Rankine cycle overview
  • 3.1.1 Python implementation
  • 3.1.2 Isentropic efficiencies
  • 4. Case studies
  • 4.1 Case study 1: Reheated Rankine cycle
  • 4.1.1 Optimal reheat pressure
  • 4.2 Case study 2: Combined gas-vapour cycle
  • 4.3 Case study 3: geothermal Organic Rankine cycle (ORC)
  • 5. Conclusions
  • References
  • 4
  • Preliminary design of a combined heat and power system for a beverage industry
  • 1. Introduction
  • 2. Case study description
  • 3. Methodology
  • 3.1 CHP thermodynamic modelling
  • 3.2 Investment analysis
  • 4. Python implementation
  • 4.1 Data extraction and analysis of baseline scenario
  • 4.2 Market prices
  • 4.3 Air cycle class.
  • 4.4 Water cycle class
  • 4.5 New system class
  • 4.6 Investment costs
  • 4.7 Economic analysis
  • 5. Results
  • 5.1 Code execution
  • 5.1.1 Plant data import
  • 5.1.2 Air and water cycles calculation
  • 5.1.3 CHP system calculation
  • 5.1.4 Investment analysis
  • 6. Conclusions
  • References
  • 5
  • Modelling of a commercial refrigeration system in Python
  • 1. Introduction
  • 2. Why CO2?
  • 2.1 CO2 as a refrigerant
  • 3. CO2 transcritical booster system
  • 3.1 Thermodynamic analysis
  • 4. TESPy modelling framework
  • 4.1 Model creation
  • 4.1.1 Setting up your environment
  • 4.1.2 Importing TESPy
  • 4.1.3 Creating the network
  • 4.1.4 Defining components
  • 4.1.5 Connecting components
  • 4.1.6 Setting parameters
  • 4.1.7 Running the simulation
  • 4.1.8 Analysing results
  • 5. Case studies
  • 5.1 Case study 1: CO2 booster system
  • 5.1.1 Task 1
  • 5.1.2 Task 2
  • 5.1.3 Task 3
  • 5.1.4 Task 4
  • 5.2 Case study 2: Optimal gas cooler pressure
  • 6. Conclusions
  • References
  • 6
  • Optimal piping insulation layer based on economic, embodied energy and embodied carbon assessement
  • 1. Introduction
  • 2. Methodology
  • 2.1 Case study description
  • 2.2 Heat transfer modelling
  • 2.3 Primary energy and carbon savings
  • 2.4 Embodied energy and embodied carbon assessment
  • 2.5 Investment analysis
  • 3. Python implementation
  • 3.1 Pipe data
  • 3.2 Internal water flow
  • 3.3 Insulation
  • 3.4 External convection
  • 3.5 Heating system
  • 3.6 Pipe configuration
  • 3.7 Economic data
  • 3.8 Assessment
  • 4. Results
  • 4.1 Code execution
  • 4.2 Parametric investigation
  • 5. Conclusions
  • References
  • 7
  • Design and optimization of fin-assisted cooling for power transformers
  • 1. Case description
  • 2. Problem analysis
  • 3. Solution strategy
  • 4. Discussion
  • 5. Conclusions
  • References.
  • 8
  • Design of a cooling system for an electronic component within a manufacturing process
  • 1. Case description
  • 2. Problem analysis
  • 3. Solution strategy
  • 4. Discussion
  • 5. Conclusions
  • References
  • 9
  • Thermo-economic assessment of an OCGT power plant: Pathways to renewable fuel integration
  • 1. Case description
  • 2. Problem analysis
  • 3. Solution strategy
  • 3.1 Thermodynamic analysis
  • 3.2 Economic analysis
  • 4. Discussion
  • 5. Conclusions
  • References
  • 10
  • Transient explicit model of buffer tank powered by flat-plate solar-thermal collector
  • 1. Case description
  • 1.1 General idea of heat storage
  • 1.2 Heat storage in domestic hot water systems
  • 2. Problem analysis
  • 2.1 Solar collector system without separate solar medium circuit
  • 2.2 Solar collector system with heat exchanger
  • 2.3 Solar collector system with heat exchanger and auxiliary heat source
  • 3. Solution strategy
  • 3.1 Case 1: Tank with full mixing connected to flat thermal-solar collector
  • 3.2 Case 2: System with a collector loop separated from the main system (filled with glycol solution), equipped with an externa ...
  • 3.3 Case 3: System connected to solar collector and boiler
  • 4. Discussion
  • 4.1 Results
  • Case 1
  • 4.2 Results
  • Case 2
  • 4.3 Results
  • Case 3
  • 4.4 Results of cases 1-3 comparison
  • 5. Conclusion
  • Appendix 1-Detailed results of the simulations
  • Appendix 2-Description of the calculation worksheet
  • References
  • 11
  • Technical and financial analysis for the improvement of the energy efficiency of a pasteurizer for food processing
  • 1. Case description
  • 2. Problem analysis
  • 3. Solution strategy
  • 4. Discussion
  • 5. Conclusion
  • References
  • 12
  • Evaluating the viability of wind energy projects: A case-based approach
  • 1. Case description
  • 2. Problem analysis
  • 3. Solution strategy
  • 4. Discussion.
  • 5. Conclusions
  • References
  • 13
  • Decomposition of energy consumption. Fundamentals and applications
  • 1. Case description
  • 2. Problem analysis
  • 3. Solution strategy
  • 4. Discussion
  • 5. Conclusions
  • References
  • Index
  • Back Cover.