- •Energy Saving Technologies Riga Technical University
- •Content
- •Introduction 10
- •1. Energy Saving Technologies in generation, conversion of electrical energy 11
- •Executive summary
- •Introduction
- •1.Energy Saving Technologies in generation, conversion of electrical energy
- •1.1.Cogeneration
- •1.1.1.Introduction
- •1.1.2.Performance indices of cogeneration systems
- •1.1.3.Types of cogeneration systems
- •Comparison of Fuel Cell Systems [12].
- •1.1.4.Distributed energy resources
- •Characteristics of cchp Systems [15].
- •References
- •1.2.Smart metering concept
- •1.2.1.Introduction
- •1.2.2.Communication concept of smart metering
- •1.2.2.1.Customer domain
- •1.2.2.2.Critical infrastructure energy domain
- •1.2.2.3.The utility business market communication domain
- •1.2.2.4.Third parties services - data analysis
- •Ip service provider’s domain
- •1.2.3.Wireless sensor networks in smart metering
- •1.2.3.1.Main characteristics of wireless sensor networks
- •1.2.3.2.Examples of application of wireless sensor networks
- •1.2.4.Security issues
- •1.2.5.The future of smart metering
- •1.3. Energy from biomass
- •1.3.1. Biomass resources
- •Yeld of Som Biomass Types [2].
- •Yield of Agricultural Residues [2].
- •1.3.1.Biomass conversion technologies
- •Characteristics of Solid Biofuels and their Effects.
- •Ultimate Analysis of Different Solid Biofuels (Dry Basis) [5, 6, 7].
- •Proximate Analysis of Solid Biofuels (Dry Basis) [5, 6, 7].
- •Characteristics of Compacted Biomass [2].
- •Higher Heating Value of Solid Biofuels [8, 9, 10].
- •Composition of Biomass Ash [5, 13].
- •Types of Biomass Furnaces [14].
- •Heat Capacity of Combustible Gas [17].
- •Contaminants in Combustible Gas: Problems and Cleanup Methods [17].
- •Syngas Quality Parameters.
- •Operating Parameters of Pyrolysis Processes.
- •1.4.Energy Storage
- •1.4.1.Introduction
- •1.4.2.Classification of energy storage technologies
- •Types of Energy Storage Technologies and Their Applications [2].
- •1.4.3.Characteristics of energy storage techniques
- •1.4.4.Direct electric storage
- •1.4.5.Electrochemical energy storage
- •1.4.6.Mechanical energy storage
- •The response time of sudden changes in electrical demand for power plants [5].
- •1.4.7.Thermal energy storage
- •Physical Properties of Sensible Energy Storage Media [7, 8]
- •Commercial Phase Change Materials which can be Used for Heat Storage in the Buildings [10].
- •Properties of Some Phase Change Materials Produced by eps Ltd, uk [11].
- •Properties of Some Phase Change Materials Produced by teap Energy, Australia [11].
- •Properties of some phase change materials (paraffins) produced by the Rubitherm GmbH Germany [11].
- •Chemical Storage Materials and Reactions [8].
- •Main Characteristics of Energy Storage Materials [8].
- •References
- •1.5.Waste heat recovery
- •1.5.1.Characteristics of waste heat
- •Sources of waste heat at high-temperature range [2].
- •Sources of Waste Heat at Medium-Temperature Range [2].
- •Sources of Waste Heat at Low-Temperature Range [2].
- •1.5.2.Waste heat recovery systems
- •Waste Heat Recovery Systems [3].
- •Heat Exchangers Characteristics.
- •References
- •1.6.Energy Saving Technologies of the Thermochemical Conversion of Biomass and lignocarbonaceous Waste
- •1.6.1.Introduction
- •1.6.2.Pyrolysis
- •1.6.3.1.2 Torrefaction
- •1.6.4.1.3 Fast pyrolysis
- •1.6.5.1.4. Flash and ultra-rapid pyrolysis
- •1.6.6.1.5. Solar driven pyrolysis
- •1.6 Pyrolizer types
- •1.7.Gasification
- •1.8. Poly-generation of heat, power and biofuel
- •1.9.Design of renewable energy systems for small (local) consumers - description of a software for design and examples of design exercises.
- •1.9.1.Introduction.
- •1.9.2.A software for design renewable energy systems.
- •1.9.3.Description of the polysun platform
- •1.9.3.1.Polysun modules
- •1.9.3.2.User Interface
- •1.9.3.2.1.Menu bar
- •1.9.3.2.2.Icon bar
- •1.9.3.2.3.Managing the project.
- •1.9.3.2.4.Project tools
- •1.9.4.Creating a project
- •1.9.4.1.Design steps of the simple solar system.
- •1.9.4.2.Design steps of the pv system.
- •1.9.5.Result analysis and reports
- •1.9.5.1.The results of simulation
- •1.9.5.2.Reports
- •1.9.6.Literature
- •Conclusion
- •2.Energy Saving Technologies in transmission, distribution of electrical energy Energy Cost and Power Loss Minimization in Distribution Networks with Distributed Generation
- •Introduction
- •2.1.Opf problem formulation for distribution networks
- •2.1.1.Objective function
- •2.1.2.Constraints
- •Dg units modeling for optimal power flow
- •Opf Solution Using Multi-objective Genetic Algorithm
- •Opf Solution Using Gravitational Search Algorithm
- •2.2.Dc transmission systems
- •3. Energy Saving Technologies: in industry
- •3.1. Electric Motors
- •3.2. Electrical Drives
- •3.1.Waste heat utilization technologies
- •Introduction
- •1 Sources of waste heat
- •2 Main definitions used for heat waste assessment
- •3 Using of waste heat for heating and hot water supply. Equipment for using of industrial waste heat
- •3.1 Closed-circuit schemes of waste heat utilization
- •3.2 Opened-circuit schemes of waste heat utilization
- •Indirect Contact Condensation Recover
- •4. Utilization of low-temperature heat waste
- •4.1 Heat pumps
- •Common types of industrial heat pumps
- •4.2 Applications of heat pumps in drying process
- •4.2.1 Closed-cycle mechanical heat pumps for lumber drying
- •4.2.2 Evaporation - open-cycle mechanical vapour compression (mvc) for sugar solution concentration
- •4.2.3 Thermo-compression for paper-dryer flash steam recovery
- •4.3 Heat pumps working fluids
- •5 Using of waste heat for power generation
- •5.1 The opportunity for waste heat to power generation
- •5.2 Applicable Technologies
- •5.3 Applications
- •Using of combustible waste
- •7 Economic efficiency analysis of heat waste utilization
- •4.Energy Saving Technologies: in public and private sector
- •4.1.Building: fundamental physical processes in buildings and building envelopes. Reduction of heat losses. Heating and conditioning. Heat pumps.
- •5.Supercapacitors
- •Viesturs Brazis
- •5.1.Supercapacitor energy storage
- •5.1.1.Introduction
- •5.1.2.Supercapacitor design
- •5.1.3.Supercapacitor energy storage systems
- •5.1.4.Simulation of supercapacitor energy storage system
- •5.1.5.Ess scaling
- •5.1.6.Conclusions
- •5.1.7.Tasks
- •References
- •5. Standartisation and legal bases on existing Energy Saving Technologies
- •5.2.Introduction
- •5.3.Legistlative base mandatory for eu Member states
- •5.4.Legistlative base non - mandatory for eu Member states
- •5.5.Eu supported actions for development of Energy Saving Technologies
- •5.6.Iso 50001 - Energy management
- •5.7.Conclusions
- •References
Characteristics of Compacted Biomass [2].
Fuel |
Moisture content % |
Higher heating value kJ/kg (dry basis) |
lower Heating Value kJ/kg (dry basis) |
Bulk density kg/m3 (wet basis) |
Energy content kJ/m3 |
Wood pellets |
10 |
19 800 |
16 560 |
600 |
9 921 600 |
Hardwood chips (pre-dried) |
30 |
19 800 |
12 240 |
320 |
3 938 400 |
Hardwood chips |
50 |
19 800 |
7 920 |
450 |
3 632 400 |
Softwood chips (pre-dried) |
30 |
19 800 |
12 240 |
250 |
3 078 000 |
Softwood chips |
50 |
19 800 |
7 920 |
350 |
2 826 000 |
Bales of grass |
18 |
18 360 |
13 680 |
200 |
2 700 000 |
Barks |
50 |
20 160 |
8280 |
320 |
2 617 200 |
Cereal straw bales |
15 |
18 720 |
14 400 |
175 |
2 530 800 |
Sawdust |
50 |
19 800 |
7 920 |
240 |
1 936 800 |
Wheat straw bales |
15 |
18 720 |
14 400 |
120 |
1 735 200 |
ash content or inorganic substances depend on the species of plant and soil contamination for plant growth, ranging from 0.4-0.5% (mass percentage on dry base) for wood to 22.3% for rice husks. The composition of ash depends on the plant species, growing conditions, the fraction of ash and combustion plant. Irrespective of the biomass resource, the fly ash has, in general, higher concentrations of heavy metals than bottom ash. Wood ash has a higher content of As, Cd, Pb and Hg than that of agricultural residues. Bottom ash contains 10-20 times more Pb and Cd than fly ash. Before recycling the ash collected from biomass boilers by using it in agriculture the bottom ash should be mixed with fly ash.
The moisture content ranges from one tree to another. It is lower in tree strain and higher in roots and crown. When the biomass is dried, the humidity reaches the equilibrium with the air relative humidity. The moisture content reaches usually about 20% when biomass is dried in air. Higher moisture content decreases the calorific value and the adiabatic combustion temperature, which increases the combustion time. High moisture content means higher amount of exhaust gases and thus combustion chamber with increased size. Humidity affects behavior biomass during pyrolysis, affects the physical properties and quality of the pyrolysis liquid. Also higher moisture content reduces the efficiency of biomass combustion process. To mitigate this effect an auxiliary heat exchanger to recover condensation heat of flue gases can be installed on the flue gas path.
Content of structural constituents (cellulose, hemi-cellulose and lignin) influences calorific value. It increases with the increase of lignin content. Cellulose and hemi-cellulose have a higher heating value of 18600 kJ/kg and lignin of (23260-26580) kJ / kg.
Higher heating value (HHV) or gross calorific value of solid biofuels can be determined by using oxygen bomb calorimeter, or can be estimated using data provided by proximate analysis, elemental analysis and chemical composition.
Calorific value of the biomass is closely related to lignin content. Thus, the higher heating value for an ash-free dry sample can be calculated using the following equation [4]:
, kJ/kg (1)
where (LC) is lignin content of ash free dry sample, %.
higher heating value of solid biofuels can be calculated as a function of fix carbon, Cf (%) content with equation [4]:
,
kJ/kg (2)
Equations for estimating the calorific value of fuels from ligno-cellulosic materials and for vegetable oils based on their chemical analysis can be found in literature. For solid biofuels the modified equation of Dulong may be used as a function of carbon, hydrogen, oxygen and nitrogen content [4]:
,
kJ/kg (dry basis) (3)
where C, H, O and N are carbon, hydrogen, oxygen and nitrogen content of dry sample, %.
Also, for a dry solid biofuel sample the following equation can be used [2]:
, kJ/kg (dry basis) (4)
where C, H, S, N, O and A are carbon, hydrogen, sulphur, nitrogen, oxygen and ash content of dry sample, %.
Lower heating value (LHV) or net calorific value of wet sample can be calculated by applying the equation:
,
kJ/kg (wet basis) (5)
where HHVdb is higher heating value of dry sample, W is moisture content of wet sample (%) and Hdb is hydrogen content of dry sample (%)
The higher heating values of some solid biofuels are given in Table IX.
