
- •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
Ultimate Analysis of Different Solid Biofuels (Dry Basis) [5, 6, 7].
Fuel
C
%
H
%
N
%
S
%
O
%
Cl
%
Walnut shell
52.80
5.60
1.40
0.04
39.25
0.10
Almond shell
47.80
6.00
1.10
0.06
44.94
0.10
Coconut shell
51.30
5.40
0.10
0.10
43.10
–
Hazelnut shell
50.80
5.60
1.00
–
42.40
0.20
Pistachio shell
49.70
5.90
–
–
44.40
–
Sunflower seed husk
47.40
5.80
1.40
0.05
45.25
0.10
rice husk
47.80
5.10
0.10
–
47.00
–
cottonseed hull
42.80
5.40
1.40
0.50
49.90
–
Coffee husk
45.40
4.90
1.10
0.35
48.30
–
Soya husk
45.40
6.70
0.90
0.10
46.90
–
Mustard husk
45.80
9.20
0.40
0.20
44.40
Barley straw
39.92
5.27
1.25
–
53.56
–
Wheat straw
43.20
5.00
0.62
0.11
49.57
1.50
Corn stover
42.50
5.04
0.75
0.18
51.53
Corncob
42.50
5.00
0.80
0.20
51.50
-
Tobacco stalk
49.50
5.70
0.80
–
43.80
0.20
Tobacco leaf
48.30
4.90
1.20
–
45.30
0.30
alfalfa stem
45.40
5.80
2.10
0.09
46.61
-
Sugarcane bagasse
44.80
5.40
0.40
0.01
49.3
-
Cotton residues after fiber extraction
42.80
5.40
1.40
0.5
49.9
-
Olive residue after oil extraction
49.90
6.20
1.60
0.05
42.05
0.20
Peach pit
53.00
5.90
0.30
0.05
40.75
-
Plum pit
49.90
6.70
0.90
0.08
42.40
0.02
Apricot stone
52.38
6.57
1.07
0.15
38.78
-
Switchgrass
46.70
5.90
0.80
0.19
46.41
-
Bamboo whole
52.00
5.10
0.40
0.04
41.50
0.06
Kenaf grass
48.40
6.00
1.00
0.15
44.30
0.15
Sawdust
46.90
5.20
0.10
0.04
47.76
-
Poplar wood
48.40
5.90
0.40
0.01
45.29
-
Spruce wood
51.40
6.10
0.30
–
41.20
0.10
Beech wood
49.50
6.20
0.40
–
43.90
–
Fir wood
51.90
6.10
0.30
–
41.70
–
Red oak wood
50.00
6.00
0.30
–
43.70
–
Eucalyptus
50.00
6.00
1.30
–
42.70
–
Willow
49.80
6.10
0.60
0.10
43.40
0.10
Olive wood
49.00
5.40
0.70
–
44.60
0.30
tea waste
48.90
5.50
0.50
0.50
44.50
0.10
Sewage sludge
50.10
7.30
6.10
2.30
34.10
0.10
Proximate Analysis of Solid Biofuels (Dry Basis) [5, 6, 7].
Fuel |
Ash % |
Volatile matter % |
Fixed carbon % |
Walnut shell |
2.80 |
59.30 |
37.90 |
Almond shells |
3.30 |
74.00 |
22.70 |
Coconut shell |
0.71 |
77.19 |
22.10 |
Hazelnut shell |
2.50 |
76.30 |
21.20 |
rice hull |
22.30 |
61.00 |
16.70 |
Sunflower seed husk |
4.00 |
76.20 |
19.80 |
Cotton refuse |
6.60 |
81.00 |
12.40 |
Cotton stalk |
17.30 |
62.90 |
19.90 |
Coffee husk |
2.80 |
76.50 |
20.70 |
Soya husk |
5.40 |
74.30 |
20.30 |
Barley straw |
4.30 |
82.41 |
13.29 |
Wheat straw |
13.70 |
66.30 |
20.00 |
Corncob |
1.10 |
87.40 |
11.50 |
Corn stover |
5.10 |
84.00 |
10.90 |
alfalfa stem |
6.50 |
76.10 |
17.40 |
Rapeseed |
6.50 |
78.1 |
15.40 |
Sugar cane bagasse |
11.30 |
73.7 |
15.00 |
Olive residue after oil extraction |
4.10 |
77.50 |
18.40 |
Cotton residues after fiber extraction |
6.60 |
81.00 |
12.40 |
Beech wood |
0.50 |
82.50 |
17.00 |
Fir wood |
1.70 |
80.20 |
18.10 |
oak wood |
0.50 |
77.60 |
21.90 |
Poplar wood |
1.30 |
82.3 |
16.40 |
Spruce wood |
1.50 |
70.20 |
29.30 |
Willow wood |
1.71 |
82.22 |
16.07 |
Beech bark |
5.70 |
65.00 |
29.30 |
Sawdust |
2.80 |
82.20 |
15.00 |
Peach pit |
1.00 |
79.10 |
19.90 |
Switchgrass |
8.90 |
76.70 |
14.40 |
Kenaf grass |
3.60 |
79.40 |
17.00 |
Sudan grass |
8.65 |
72.75 |
18.60 |
Red canary grass |
8.90 |
73.40 |
17.70 |
Tea waste |
1.50 |
85.50 |
13.00 |
Chiken litter |
37.80 |
47.80 |
14.40 |
Also, the chlorine content of solid biofuels may exceed coal level. Chlorine facilitates mobility of many inorganic compounds, in particular potassium.
Higher moisture and ash content can cause issues for ignition and combustion. Due to the lower calorific value, the biomass combustion can be accompanied by flame instability. Biomass co-combustion with high quality coal avoids flame instability problems and reduces the corrosion effect.
Particle size or granulation depends on the presentation form of biomass. Due to the lower calorific value, biomass should be processed mechanically by compacting, pressing and briquetting. Therefore, the biomass particle size can vary from a few millimetres for sawdust up to a maximum 80 cm for logs. In fig. 4 different samples obtained by biomass compaction are shown. It is recommended that solid biofuels to be used in domestic, commercial and industrial installations to be subjected to pre-treatment processes such as washing, drying, size reducing and compaction to achieve a more uniform quality, to facilitate the handling and to reduce the moisture content to an acceptable level.
Figure 4. Samples of compacted biomass.
Wood is the most used solid biofuel. The raw material can take the following forms: logs, twigs, stems, leaves and needles from the forest, bark, sawdust, shavings and sawdust from the wood industry and wood recovered from construction. This may be used directly as fuel or can be transformed in forms that are much more easily transported, stored and burned, such as pellets, briquettes and powder.
Firewood is a wood fuel in the form of tree stem that can be or not treated. For easier handling, the stems are pressed together in order to obtain bundles of equal size, like a log. Pellets are produced by grinding of chips, shavings or bark and pressing the obtained dust into a mold. The heat resulting from friction is enough to soften the lignin. By cooling, the lignin becomes rigid and acts as a binder. pellets have cylindrical or spherical form with a diameter less than 25 mm. Briquettes have rectangular or cylindrical form and are obtained by pressing together of sawdust, chips, shavings or bark in a piston or screw press. The energy content of pellets and briquettes is about 17 GJ / ton, the moisture content is 10%, and density of about 600-700 kg/m3. Table VIII gives the characteristics of the compacted biomass.