
Distributed Multi-Generation Systems: Energy Models and Analyses
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
More details
Other editions
Additional editions

Content
- Intro
- DISTRIBUTED MULTI-GENERATIONSYSTEMS:ENERGY MODELS AND ANALYSES
- PREFACE
- CONTENTS
- NOTATION
- ACRONYM LIST
- SYMBOLS
- SUBSCRIPTS AND SUPERSCRIPTS
- LIST OF FIGURES
- LIST OF TABLES
- INTRODUCTION
- THE DISTRIBUTED MULTI-GENERATIONFRAMEWORK
- 1.1. RECENT ENERGY SYSTEM EVOLUTIONS
- 1.2. BACKGROUND FRAMEWORKS:DISTRIBUTED ENERGY RESOURCES
- 1.3. BACKGROUND FRAMEWORKS: COGENERATION
- 1.4. FROM COGENERATION TO MULTI-GENERATION
- 1.5. THE DISTRIBUTED MULTI-GENERATION (DMG) PARADIGM
- DISTRIBUTED MULTI-GENERATION SYSTEMS:STRUCTURES AND SCHEMES
- 2.1. MULTI-GENERATION PLANT STRUCTURE
- 2.1.1. Overall block structure
- 2.1.2. Energy vector description
- 2.2. THE CHP BLOCK
- 2.2.1. Equipment and characteristics
- 2.2.2. Prime mover control strategies
- 2.3. THE AGP BLOCK
- 2.3.1. AGP equipment in separate linking mode
- 2.3.2. AGP equipment in bottoming linking mode
- 2.3.3. Other equipment
- 2.4. INTERACTIONS WITH EXTERNAL SYSTEMS
- 2.4.1. External networks
- 2.4.2. Distributed storage
- 2.4.3. Renewable energy sources and hybrid systems
- MULTI-GENERATION COMPONENTS:CHARACTERISTICS AND MODELS
- 3.1. COGENERATION PRIME MOVERS
- 3.1.1. General aspects
- 3.1.2. Internal Combustion Engines
- 3.1.2.1. Cooling and heat recovery systems
- 3.1.2.2. Efficiency and off-design performance of ICEs
- 3.1.3. Microturbines
- 3.1.3.1. Generalities on microturbines
- 3.1.3.2. Off-design characteristics
- 3.1.3.3. Cogeneration applications
- 3.1.3.4. Considerations on single-shaft MTs and comparison with ICE technologies
- 3.1.4. Stirling engines
- 3.2. COMBUSTION HEAT GENERATORS
- 3.2.1. General aspects of heat generation groups
- 3.2.2. Boiler efficiency and losses
- 3.2.3. Partial-load characteristics
- 3.3. COOLING GENERATION PLANT EQUIPMENT
- 3.3.1. Generalities on cooling plants
- 3.3.2. Cooling plants characteristics
- 3.3.3. Vapour compression chillers
- 3.3.3.1. Thermodynamic aspects and components
- 3.3.3.2. Refrigerants
- 3.3.3.3. Compressors
- 3.3.3.4. Considerations on reciprocating and screw compressors for cooling plants
- 3.3.3.5. Off-design models
- 3.3.4. Absorption chillers
- 3.3.4.1. General characteristics
- 3.3.4.2. Thermodynamic aspects
- 3.3.4.3. Absorption chiller off-design characteristics
- 3.3.4.4. Temperature constraints for heat sources
- 3.3.4.5. Comparison between absorption chillers and vapour compression electricchillers
- 3.3.5. Adsorption chillers
- 3.3.6. Heat pumps
- 3.3.6.1. Classification of heat pumps
- 3.3.6.2. Thermodynamic aspects of EHPs
- 3.3.6.3. Electric heat pump performance
- 3.3.6.4. The thermal source
- 3.3.6.5. Electric resistance heating
- 3.3.7. Engine-driven chillers
- 3.3.7.1. General aspects
- 3.3.7.2. Engine-driven chiller performance
- 3.3.7.3. Heat recovery
- 3.4. HEAT RECOVERY IN COOLING PLANTS
- 3.4.1. General models for bottoming cycle heat recovery in cooling plants
- 3.4.2. The EHP for heat recovery bottoming cycles
- DISTRIBUTED MULTI-GENERATION PLANNING
- 4.1. PLANNING ISSUES WITHIN THE MULTI-GENERATIONFRAMEWORK
- 4.2. CHARACTERIZATION AND PLANNING OF A COGENERATIONPLANT
- 4.2.1. Load duration curve analysis
- 4.2.2. The cogeneration ratio for generation and load
- 4.2.3. "Unmatched" plant and energy interaction modelling
- 4.2.4. Time-domain load characterization of a cogeneration plant
- 4.2.5. Time-domain production characterization of a cogeneration plant
- 4.3. CHARACTERIZATION AND PLANNING OF AMULTI-GENERATION PLANT
- 4.3.1. The effect of cooling power generation: the trigeneration lambdaanalysis
- 4.3.2. Cooling power generation effect on the cogeneration ratio
- 4.3.3. Cooling power generation effect on the load duration curve analysis
- 4.3.4. Heat/cooling power production effect in the AGP: the multi-generationlambda analysis
- 4.3.5. The lambda transforms
- 4.4. PERFORMANCE INDICATORS FORMULTI-GENERATION EQUIPMENT
- 4.4.1. Input-output black-box modelling approach
- 4.4.2. Efficiency indicators for black-box models
- 4.4. PERFORMANCE INDICATORS FORMULTI-GENERATION EQUIPMENT
- 4.4.1. Input-output black-box modelling approach
- 4.4.2. Efficiency indicators for black-box models
- 4.5. HEAT/COOLING GENERATION IMPACT ON THE COGENERATIONSIDE: EXPRESSIONS FOR THE LAMBDA TRANSFORMS
- 4.5.1. Separate cooling/heat generation
- 4.5.2. Bottoming cooling generation
- 4.5.3. Bottoming heat generation
- 4.5.4. The heat recovery from chillers in the AGP
- 4.5.5. An alternative point of view: transformation of the prime movercharacteristics and ?y-transforms
- 4.6. THE LAMBDA ANALYSIS AS A PLANNING TOOL
- 4.6.1. The multi-generation energy system planning process
- 4.6.2. AGP selection resorting to the lambda analysis
- 4.6.3. Suitability of multi-generation solutions to different loadconfigurations
- 4.6.4. Suitability of specific trigeneration solutions to load configurations
- 4.6.4.1. CHP-WARG/WAHP scheme
- 4.6.4.2. CHP-GARG/GAHP and CHP-EDC/EDHP schemes
- 4.6.4.3. CHP-EHP and CHP-CERG schemes
- 4.7. CASE STUDY APPLICATION
- 4.7.1. Description of the trigeneration user
- 4.7.2. The lambda analysis applied to the cooling power generationequipment: results of the lambda transforms
- 4.7.2.1. Case 1: GARG
- 4.7.2.2. Case 2: CERG
- 4.7.2.3. Case 3: WARG
- 4.7.2.4. Case 4: WARG (base-load) + CERG (modulation)
- 4.7.2.5. Case 5: CERG (base-load) + WARG (modulation)
- 4.7.3. Discussion on the prime mover selection
- 4.8. REMARKS ON MULTI-GENERATION PLANNING
- ENERGY PERFORMANCE ASSESSMENT:RATIONALES AND INDICATORS
- 5.1. GENERALITIES ON THE METHODOLOGY ADOPTED FOR DMGENERGY ASSESSMENT
- 5.1.1. DMG energy system assessment approaches
- 5.1.2. DMG energy system model with a black-box-based approach
- 5.2. UNIFIED APPROACH TO SINGLE AND MULTIPLE ENERGYVECTOR PRODUCTION
- 5.2.1. Output-to-input first-law performance indicators for equipment andnetworks
- 5.2.2. Evaluation of different types of energy: the need for a common metric
- 5.2.3. Energy chain model for DMG systems
- 5.2.4. Single energy vector assessment for trigeneration cases: the PrimaryEnergy Rate (PER) indicator and the Absolute Trigeneration HeatRate (ATHR) array
- 5.2.5. The Thermal Heat Rate (THR) in thermal-only production
- 5.2.6. The Cooling Heat Rate (CHR) in cooling-only production
- 5.3. BENCHMARK MODELS FOR SEPARATE PRODUCTION OF HEAT,ELECTRICITY AND COOLING POWER
- 5.3.1. Conventional reference model for separate production of electricity:equivalent power plant
- 5.3.2. Conventional reference model for separate production of heat:equivalent boiler
- 5.3.3. Conventional reference model for separate production of coolingpower: equivalent electric chiller
- 5.4. PERFORMANCE EVALUATION CRITERIA FOR CHP SYSTEMS
- 5.4.1. Model for cogeneration of electricity and heat
- 5.4.2. Cogeneration first law efficiency or Energy Utilisation Factor (EUF)
- 5.4.3. "Value-Weighted" Energy Utilisation Factor (EUFvw)
- 5.4.4. CHP incremental indicators
- 5.4.5. Second law-based models
- 5.4.6. Fuel Energy Saving Ratio (FESR) or Primary Energy Saving (PES)
- 5.5. PERFORMANCE EVALUATION CRITERIA FOR CCHP SYSTEMS
- 5.5.1. The evaluation of cooling power through reference electric chillers
- 5.5.2. Trigeneration Energy Utilization Factor (TEUF)
- 5.5.3. Absolute Trigeneration Heat Rate (ATHR) and Overall TrigenerationHeat Rate (OTHR)
- 5.5.4. Trigeneration Primary Energy Saving (TPES)
- 5.5.5. Incremental Trigeneration Heat Rate (ITHR)
- 5.6. PERFORMANCE EVALUATION OF GENERIC DMG SYSTEMS
- 5.6.1. Primary energy saving as the favourite assessment metric
- 5.6.2. The Poly-generation Primary Energy Saving (PPES) indicator forDMG energy systems and networks
- 5.6.3. Rationales for the selection of the separate production models
- 5.7. REMARKS ON DMG ENERGY PERFORMANCE ASSESSMENTMETHODOLOGIES
- COGENERATION ENERGY PERFORMANCEASSESSMENT APPLICATIONS
- 6.1. ENERGY CHAIN MODEL APPLICATION TO HEATINGGENERATION
- 6.1.1. Comparison between electric heat pumps and boilers
- 6.1.2. Primary energy saving analysis
- 6.1.3. Electric resistance heating
- 6.2. HEAT-AND-ELECTRICITY COGENERATIONASSESSMENT EXAMPLES
- 6.2.1. General consideration on the FESR
- 6.2.1.1. What FESR?
- 6.2.1.2. Primary energy saving break-even analyses
- 6.2.1.3. Some remarks on FESR applications
- 6.2.2. CHP assessment through incremental indices
- 6.3. HEAT AND ELECTRICITY COGENERATION:CHP COUPLED TO EHP
- 6.3.1. Primary energy saving model for a composite CHP-EHP scheme
- 6.3.1.1. Numerical examples
- 6.3.2. Incremental indicators for CHP-EHP assessment
- 6.3.2.1. Numerical applications: performance evaluation of different CHP prime moverscoupled with an EHP
- ENERGY PERFORMANCE ASSESSMENT OFTRIGENERATION ALTERNATIVES
- 7.1. CONSIDERATIONS ON REFERENCE MODELS
- 7.2. COGENERATION OF COOLING AND ELECTRICITY(SEASONAL TRIGENERATION)
- 7.2.1. Primary energy saving break-even conditions
- 7.2.2. Primary energy saving assessment
- 7.2.3. Incremental assessment
- 7.3. TRIGENERATION OF ELECTRICITY, HEAT AND COOLING POWERIN A CHP-WARG SCHEME
- 7.3.1. Trigeneration plant model and energy flows
- 7.3.2. Energy saving break-even conditions
- 7.3.3. Trigeneration primary energy saving assessment
- 7.3.4. Further issues related to CHP-chiller coupling
- 7.3.5. General comments on the TPES results
- 7.3.6. Incremental trigeneration assessment
- 7.4. TRIGENERATION AND PARALLEL COOLING PRODUCTION: CHPDFCSYSTEMS
- 7.4.1. Plant model and energy balances
- 7.4.2. Primary energy saving assessment
- 7.4.3. DMG applications with CHP-GARG combination
- 7.5. COMPOSITE TRIGENERATION SYSTEMS
- 7.5.1. Plant scheme description and energy models
- 7.5.2. Energy saving performance for different equipment characteristics andoperational points
- 7.6. DMG CASE STUDY ANALYSIS BASED ON TIME-DOMAINSIMULATIONS
- 7.7. REMARKS ON THE ENERGY PERFORMANCE ASSESSMENTEXAMPLES
- EXTENDED DISTRIBUTED MULTI-GENERATIONAPPLICATIONS
- 8.1. INTEGRATED ASSESSMENT OF MULTI-GENERATION SYSTEMSWITH RENEWABLE SOURCES
- 8.1.1. Integrated CCHP-PV systems
- 8.1.1.1. PV system components and models
- 8.1.2. Energy saving in composite trigeneration systems with PV generation
- 8.1.3. Case study example
- 8.1.3.1. Case study description
- 8.1.3.2. Case study results and discussion
- 8.2. DMG SYSTEMS AND INTERACTIONS WITH EXTERNALNETWORKS
- 8.2.1. Equivalent demands on the energy network side
- 8.2.2. Evaluation of multi-generation alternatives with regard to networkconnection
- 8.2.2.1. Energy network loading analysis
- 8.2.2.2. Primary energy saving analysis
- 8.2.2.3. Economic analysis
- 8.3. ECONOMIC POTENTIAL OF DISTRIBUTED MULTI-GENERATIONSOLUTIONS WITHIN ENERGY-RELATED MARKET FRAMEWORKS
- 8.3.1. Energy-related markets
- 8.3.2. Profitability of cogeneration systems in energy-related markets
- 8.3.2.1. Cost components
- 8.3.2.3. Incremental evaluation of the fuel cost for electricity production
- 8.3.2.4. The economic model
- 8.3.2.5. Case study application
- 8.3.3. Extension to a trigeneration case and further comments
- 8.3.4. Adoption of incremental indicators for trigeneration system economiccomparison
- 8.3.4.1. Economic model for incremental trigeneration assessment
- 8.3.4.2. Case study application
- 8.4. ENVIRONMENTAL IMPACT ASPECTS
- 8.4.1. The emission factor model for CO2 emission assessment
- 8.4.2. Emission reduction in multi-generation systems
- 8.4.3. Unified structure for energy and environmental indicators
- 8.4.4. Local emissions
- 8.5. FINAL REMARKS ON DISTRIBUTED MULTI-GENERATIONPERSPECTIVES
- 8.5.1. DMG planning perspectives
- 8.5.2. Perspectives for DMG system operation
- REFERENCES
- ABOUT THE AUTHORS
- INDEX
- Blank Page
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our eBook Help page.