🧊Thermodynamics II Unit 15 – Exergy and Thermoeconomic Analysis

Key Concepts and Definitions

• Exergy represents the maximum useful work that can be obtained from a system as it reaches equilibrium with its surroundings
• Anergy is the portion of energy that cannot be converted into useful work due to irreversibilities and losses
• Dead state refers to the reference environment conditions (usually ambient temperature and pressure) at which a system has zero exergy
• Exergy destruction quantifies the irreversible losses in a system caused by friction, heat transfer, and other irreversible processes
• Exergy efficiency measures the ratio of useful exergy output to the total exergy input in a system or process
  • Provides a more accurate assessment of the thermodynamic performance compared to energy efficiency
• Thermoeconomics combines thermodynamic analysis with economic principles to optimize the design and operation of energy systems
• Exergy costing assigns monetary values to exergy streams and quantifies the cost of exergy destruction in a system

Exergy: Fundamentals and Applications

• Exergy is a state function that depends on the system's properties and the reference environment conditions
• Exergy balance equation: $\dot{Ex}_{in} - \dot{Ex}_{out} - \dot{Ex}_{dest} = \Delta \dot{Ex}_{system}$
  • $\dot{Ex}_{in}$ and $\dot{Ex}_{out}$ represent the exergy flows into and out of the system
  • $\dot{Ex}_{dest}$ is the exergy destruction rate due to irreversibilities
  • $\Delta \dot{Ex}_{system}$ is the change in exergy of the system
• Exergy of a closed system consists of physical exergy (due to temperature and pressure differences) and chemical exergy (due to composition differences)
• Exergy of an open system includes physical, chemical, kinetic, and potential exergy components
• Exergy analysis helps identify the location, magnitude, and sources of thermodynamic inefficiencies in a system
• Applications of exergy analysis include power plants, refrigeration systems, heat exchangers, and chemical processes
  • Allows for the optimization of system design and operation to minimize exergy destruction and improve efficiency

Exergy Analysis of Thermodynamic Systems

• Exergy analysis involves performing an exergy balance on each component of a thermodynamic system
• Exergy destruction in a component is calculated as the difference between the exergy input and output
• Exergy efficiency of a component is defined as the ratio of exergy output to exergy input
• Exergy analysis of a power plant helps identify the components with the highest exergy destruction (usually the boiler and turbine)
  • Provides insights for improving the plant's overall efficiency
• Exergy analysis of a refrigeration system reveals the exergy losses in the compressor, condenser, and evaporator
  • Helps optimize the system design and operating conditions to minimize exergy destruction
• Exergy analysis of a heat exchanger quantifies the exergy destruction due to finite temperature differences and pressure drops
  • Allows for the selection of optimal heat exchanger configurations and operating parameters
• Exergy analysis of chemical processes identifies the sources of inefficiencies in reactors, separators, and other process units

Thermoeconomics: Basics and Principles

• Thermoeconomics integrates thermodynamic analysis with economic principles to optimize energy systems
• Exergy costing assigns monetary values to exergy streams based on their quality and potential for generating useful work
• Specific exergy costing (SPECO) method allocates costs to exergy streams in proportion to their exergy content
• Exergoeconomic analysis combines exergy analysis with economic evaluation to assess the cost-effectiveness of system improvements
• Exergoeconomic optimization aims to minimize the total cost (investment and operating costs) while maximizing the system's exergy efficiency
• Thermoeconomic evaluation helps in the selection of optimal system configurations, operating conditions, and component sizes
• Thermoeconomic diagnosis identifies the components with the highest cost impact on the system's overall performance

Exergy Costing and Valuation

• Exergy costing assigns monetary values to exergy streams based on their potential for generating useful work
• Specific exergy costing (SPECO) method allocates costs to exergy streams in proportion to their exergy content
  • Assumes that the cost of an exergy stream is directly proportional to its exergy value
• Fuel-Product-Loss (F-P-L) approach defines the fuel (input), product (desired output), and loss (waste) exergy streams for each component
  • Helps in formulating cost balance equations and determining the unit exergy costs
• Exergy cost balance equation: $\dot{C}_{P,k} = \dot{C}_{F,k} + \dot{Z}_{k}$
  • $\dot{C}_{P,k}$ is the cost rate of the product exergy stream of component $k$
  • $\dot{C}_{F,k}$ is the cost rate of the fuel exergy stream of component $k$
  • $\dot{Z}_{k}$ is the cost rate associated with the investment and operating costs of component $k$
• Exergy unit cost $c$ is defined as the cost per unit of exergy ($/kJ or$/kWh)
  • Calculated by dividing the cost rate by the corresponding exergy flow rate
• Exergy costing provides a rational basis for allocating costs in a multi-product system (cogeneration plants, desalination systems)

Optimization Using Thermoeconomic Analysis

• Thermoeconomic optimization aims to minimize the total cost (investment and operating costs) while maximizing the system's exergy efficiency
• Objective function for optimization typically includes the total cost rate and the exergy efficiency
  • Minimizing the total cost rate: $\min \sum_{k} (\dot{C}_{F,k} + \dot{Z}_{k})$
  • Maximizing the exergy efficiency: $\max \eta_{ex} = \frac{\dot{Ex}_{P}}{\dot{Ex}_{F}}$
• Decision variables for optimization include design parameters (component sizes, operating conditions) and economic parameters (interest rate, equipment costs)
• Optimization methods such as genetic algorithms, particle swarm optimization, and gradient-based techniques can be applied
• Thermoeconomic optimization helps in the selection of optimal system configurations, operating conditions, and component sizes
  • Balances the trade-off between thermodynamic performance and economic feasibility
• Sensitivity analysis investigates the impact of varying input parameters on the optimal solution
  • Identifies the most influential parameters and their effect on the system's performance and cost

Real-World Applications and Case Studies

• Thermoeconomic analysis of a combined cycle power plant
  • Identifies the components with the highest exergy destruction and cost impact
  • Optimizes the plant's design and operation to minimize the levelized cost of electricity (LCOE)
• Exergoeconomic optimization of a cogeneration system producing electricity and heat
  • Determines the optimal allocation of resources between power generation and heat production
  • Minimizes the total cost while meeting the demand for both products
• Thermoeconomic evaluation of a desalination plant
  • Compares different desalination technologies (multi-stage flash, reverse osmosis) based on their exergy efficiency and unit cost of water production
  • Identifies the most cost-effective and energy-efficient desalination process
• Exergy analysis and optimization of a refrigeration system
  • Quantifies the exergy destruction in each component and identifies the main sources of inefficiencies
  • Optimizes the system's design and operating conditions to minimize exergy destruction and improve the coefficient of performance (COP)
• Thermoeconomic analysis of a chemical process plant
  • Assigns costs to the exergy streams in the process and identifies the cost-intensive units
  • Optimizes the process design and operating parameters to minimize the production cost while meeting the product quality requirements

Problem-Solving Techniques and Examples

• Exergy analysis of a gas turbine power plant
  • Given: Ambient temperature and pressure, fuel composition and flow rate, component efficiencies, and power output
  • Calculate the exergy destruction and exergy efficiency of each component (compressor, combustion chamber, turbine)
  • Determine the overall exergy efficiency of the plant and identify the components with the highest exergy destruction
• Exergoeconomic analysis of a steam power plant
  • Given: Ambient conditions, fuel cost, component costs, and operating parameters
  • Perform exergy analysis to calculate the exergy flows and exergy destruction in each component
  • Apply the SPECO method to assign costs to the exergy streams and determine the unit exergy costs
  • Calculate the exergoeconomic performance indicators (exergy destruction cost, exergoeconomic factor) for each component
  • Identify the components with the highest cost impact and suggest improvements based on the exergoeconomic analysis
• Thermoeconomic optimization of a cogeneration system
  • Given: Demand for electricity and heat, fuel cost, component costs, and operating constraints
  • Formulate the objective function (minimize total cost) and constraints (meet demand, component limitations)
  • Define the decision variables (component sizes, operating conditions) and their bounds
  • Apply an optimization algorithm (genetic algorithm, particle swarm optimization) to find the optimal solution
  • Analyze the optimal system configuration, performance, and cost breakdown
  • Conduct sensitivity analysis to investigate the impact of varying input parameters on the optimal solution