- •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
5.1.5.Ess scaling
For vehicle simulation on the test bench all its equipment, including energy storages, should be scaled down to test bench size [16].
The traction drive model scaling is made on the basis of Tatra T3M tramcar parameters: Ptram, nom = 180 kW – rated power of tramcar all motors; Ptram, max = 316 kW – maximal tramcar power; ntram, nom = 1720 rpm – rated speed of motor; kgear = 7.36 – vehicle gear box ratio; m0 = 18.5 t – mass of an empty tramcar; mmax = 30.2 t – mass of a full tramcar; D = 0.7 m – wheel diameter.
Depending on the motor rotation speed, linear speed of the tram is
[km/h]. (9)
At nominal motor rotation frequency vehicle speed is vnom = 30.8 km/h or 8.56 m/s.
Nominal force is
. (10)
Nominal acceleration for an empty vehicle is
. (11)
Accepting that to nominal test bench DC motor rotation frequency there correspond nominal tram motor rotation frequency, equivalent force is
. (12)
To equivalent force there corresponds equivalent mass
. (13)
Thus, the mass scale factor is
, (14)
the power scale factor is
, (15)
the force scale factor is
, (16)
the speed scale factor is
. (17)
According to (9) – (17), the scale factors are: km = 48.9; kP = 85.5; kF = 48.8; kn = 1.255.
The size of vehicle ESS may be determined by two parameters: energy capacity EESS,vehicle and power capability (at discharged state) PESS,vehicle. As the time scale used is 1:1 [17], the relevant bench ESS parameters are calculated as
, (18)
. (19)
On the other hand, these parameters for supercapacitor ESS of capacity C and working voltage range VSC,min – VSC,max are determined by equations:
, (20)
, (21)
where ISC,max is the set reference value of the converter current control loop, restricted rather for converter than supercapacitor protection.
Equations (18) – (21) may be used for both development of a new energy storage or adaptation of existing one for the test bench purposes. In the last case, first, the minimum voltage is calculated at chosen ISC,max
, (22)
then the maximum voltage is
. (23)
Calculated value VSC,max should be less than allowed voltage for supercapacitor bank.
If T3M tramcar it equipped with mentioned in [12] storage with Cvehicle = 33.3 F; VSC,max,vehicle = 450 V; VSC,min,vehicle = 300 V; ISC,max,vehicle = 700 A, then: EESS,vehicle = 1873 kJ; PESS,vehicle = 210 kW.
From (18) and (19) it can be concluded, that EESS,bench = 21.9 kJ; PESS,bench = 2.46 kW.
Accepting IC,max = 40 A, working voltage range is: VSCmin = 61.5 V; VSCmax = 66.9 V.
In the braking mode the traction drive of the vehicle operates as a generator. Energy Ebr which is generated by the motor in this case [18] can be expressed as
, (24)
where K1 is factor which depends on the internal losses of a vehicle, power auxiliaries etc.; EKinetic is the vehicle kinetic energy. The value of K1 varies in range 0.5-0.6.
In braking mode the braking power will be stored in the supercapacitor until the state of charge (SoC) value won’t reach 1 [3]. SoC can be expressed as
, (25)
where ESCmax is the maximal possible energy stored by the supercapacitor.
In the cases when supercapacitor is fully charged, the surplus braking power is dissipated in the braking resistor to avoid DC bus overvoltage.
Fig. 8. Supercapacitor working voltage range
The supercapacitor parameters – capacity 63F and maximum operation voltage 125V – equal to rated voltage are oversized in relation to the traction power therefore the energy storage system scaling was executed [19]. Minimum admissible by manufacturer supercapacitor voltage V*SC,min is 40% of rated voltage
V.
(26)
Fig. 8. presents description of the supercapacitor working voltage range. VSC,max and VSC,min are accordingly supercapacitor maximum and minimum voltages, VSC,max,off is charge permission voltage, VSC,min,on is discharge permission voltage.
In the Table 1 values of the initial supercapacitor voltage VSC,0 chosen for experiments according to the current ISC,max are shown.
TABLE 1. SUPERCAPACITOR INITIAL VOLTAGE VSC,0 VALUES FOR DIFFERENT SUPERCAPACITOR MAXIMUM CURRENTS ISC,max
VSC,0 |
ISC,max = 35 A |
ISC,max = 40 A |
ISC,max = 45 A |
VSC,0<VSCmin, V |
65 |
60 |
50 |
VSCmin, V |
70.3 |
61.5 |
54.7 |
VSCmin,on, V |
71 |
62.2 |
55.4 |
VSC,w1, V |
72 |
62.3 |
56 |
VSC,w2, V |
73 |
64 |
57.7 |
VSC,w3, V |
74 |
66 |
59 |
VSCmax,off, V |
74.4 |
66.2 |
60 |
VSCmax, V |
75.1 |
66.9 |
60.7 |
VSC,0>VSCmax, V |
80 |
70 |
65 |
It is necessary to consider that different VSC,0 values can differently influence [20] on the ESS discharge power and energy losses on the braking resistor. Fig. 9. presents the ESS discharge power diagrams at various supercapacitor maximum currents (Table 1). According to supercapacitor working voltage range, at voltage less than VSCmin,on the ESS discharge is forbidden and Pess = 0. According to Fig. 9. it can be concluded that at increase of supercapacitor maximum current ISC,max the power of the discharge decreases that can worsen quality of the peak power shaving.
Fig. 10. presents the diagrams of energy losses on the braking resistor Rbr.dc.. The minimum losses of energy on a brake resistor are observed, when VSC,0 initial values are close to VSCmax,off level. At a supercapacitor current 40 A it is possible to operate with VSCmax,off, in other cases it is necessary to slightly lower VSC,0 value.
Fig. 11. presents the diagrams of braking energy losses extended for supercapacitor working voltage range. From Fig. 10. follows that if initial supercapacitor voltage value is between VSCmin and VSC,w3 (Table 1.) braking energy losses decrease by increasing of supercapacitor maximum current ISC,max. The minimum losses of energy on a brake resistor are observed, when initial supercapacitor voltage VSC,0 values are close to VSCmax,off level. At a supercapacitor current 40 A which corresponds to a tramcar current, it is possible to operate with value VSCmax,off, in other cases it is necessary to slightly lower VSC,0 value.
Small losses appear in a working range of initial supercapacitor voltage, and they decrease as VSC,0 approach to the value VSCmax,off.
If initial supercapacitor voltage reaches VSCmin value, energy losses increase.
At increase of supercapacitor maximum current ISC,max, losses in a brake resistor decrease.
At increase of ISC,max the power of a discharge decreases that can worsen quality of the peak power shaving.
Fig. 9. The ESS discharge power diagrams Fig. 10. Braking energy losses
Fig. 11. Braking energy losses in brake resistor at supercapacitor working voltage range
The Matlab/Simulink simulations have been performed to simulate, using TB, a single tram starting and braking processes in the overhead line voltage feeding and autonomous traction modes. During the tram operation modes, 2s long temporary dropouts of the overhead voltage were simulated [18].
The overhead feeding mode is most commonly used for light rail traction. As the autonomous traction mode is provided mainly for emergency operation, to prolong a vehicle running distance without installing a more powerful ESS its speed should be limited. In turn, to prolong the service life of a traction accumulator battery the charging process should run continuously and independent of the operation mode of the tram traction drive simulator.
The comparison of the tram simulated diagrams for overhead feeding mode and autonomous mode is shown on Fig. 12.a In both cases the simulation conditions are provided for full-loaded tram (m=30.2t) at 12s acceleration with maximum current Ia=40A, 10s freewheeling followed by braking. During the freewheeling mode a current of 4.8A for charging the accumulator is received from the substation.
In the autonomous feeding mode (Fig. 12.b), with reduced TB ESS voltage (90V instead of 100V) at the beginning of freewheeling mode the filter capacitor voltage falls to supercapacitor voltage level (85V) thus causing automatic switching of the traction drive model to the generator mode to provide continuous accumulator charging (12s-16s). After 16s the accumulator is charged from ESS supercapacitor. As the accumulator voltage drop is negligible at short-term vehicle starting, the simplified simulation scheme for autonomous start from accumulator does not differ much from that for overhead feeding mode.
Comparison of the traction drive behaviour at a 2s supply voltage dropout without ESS (Fig. 13.a) and with ESS (Fig. 13.b) shows that an energy storage system compensates effectively voltage failures without traction mode switching off (Fig. 12).
However, in the traction mode during voltage dropouts the traction current oscillations can occur. In turn, in the free-wheeling mode during such dropouts the accumulator charging from traction motor takes place due to the high speed when the motor emf is higher than the ESS supercapacitor voltage (Fig. 13).
a
b
Fig. 12. Simulated diagrams for TB with ESS in the overhead feeding mode (a) and in the autonomous feeding mode (b)
a
b
Fig. 13. Simulated diagrams for TB without ESS (a) and with ESS (b) in the overhead feeding mode with 2s supply voltage dropouts
interruptions are observed (Fig. 13.a). As the ESS supercapacitor is not much discharged before the voltage failure and as the traction motor emf is low, the supercapacitor provides the total energy required for traction motor and accumulator charging, so no switching of the traction drive to the generator mode at voltage failures is observed (Fig. 13.b).
