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Simple model for the energy supply of a house using hybrid wind-solar power system Tams Beke Our Lady Catholic Grammar School Kalocsa, Hungary Etvs University Physics Education PhD Program Research project for secondary school students


  1. Simple model for the energy supply of a house using hybrid wind-solar power system Tamás Beke Our Lady Catholic Grammar School Kalocsa, Hungary Eötvös University Physics Education PhD Program

  2. Research project for secondary school students • The problem to be solved is whether and how a typical house can be supplied with energy off-grid, based entirely on renewable energy sources. • To this end our students carried out a long term measurement series in order to assess typical energy consumption of houses. 2

  3. 1. Introduction • Renewable energy sources are becoming increasingly important in energy supply. • Their contribution covered an estimated 19% of the global final energy consumption in 2011 [1]. • They may not completely substitute fossil fuels and atomic energy in the near future, yet they offer an attractive alternative in the long term. 3

  4. Solar and wind energy • Among renewables, solar and wind power are widely available on the Earth. • The locally available solar energy and wind power substantially depend on meteorological conditions and are highly variable in time. 4

  5. • Due to their significance and perspective, it is desirable to give renewable energy sources an appropriate share in physics teaching. • In this lecture a related research project designed for and accomplished by secondary school students is presented. 5

  6. 1st stage • Our ‘ Renewable energy sources: stand-alone house with hybrid wind- solar power generator’ project has been carried out in three stages. • For the first stage the daily energy consumption of an average house was investigated. 6

  7. 2nd and 3rd stage • For the second stage a mathematical model for an off-grid house with hybrid wind-solar power generator and accumulator system was developed. • For the third stage a computer simulation program was developed, based on the mathematical model and the data collected by students. 7

  8. • Wind power has significant variation over shorter time scales therefore it is used generally in conjunction with other sources to give a reliable supply. 8

  9. 2. Gathering data • All the students taking part in this project live in the same town, Kalocsa, in self-contained detached houses with insulated walls and central heating systems. • The number of student houses was N =31. 9

  10. • We monitored the temperatures on every day during the project. • I have chosen 4 days from 4 different seasons to present the data: –the ‘winter day’ is 2014 -Jan-1, –the ‘spring day’ is 2014 -Apr-1, –the ‘summer day’ is 2014 -Jul-1, –the ‘autumn day’ is 2014 -Oct-1. 10

  11. Outside temperatures • We can see in figure 1 the outside temperatures on the days chosen. T [°C] T [°C] 7 Temperature (2014-Jan-1) 25 Temperature (2014-Apr-1) 6 20 5 15 4 3 10 2 5 1 time time 0 0 0:02 2:02 4:02 6:01 7:54 9:45 11:45 13:45 15:45 17:45 19:45 21:45 23:45 0:00 2:00 4:00 6:00 7:54 9:54 11:54 13:54 15:54 17:54 19:54 21:55 23:55 T [°C] T [°C] 25 Temperature (2014-Oct-1) 30 Temperature (2014-Jul-1) 25 20 20 15 15 10 10 5 5 time time 0 0 0:01 1:55 3:55 5:53 7:50 9:46 11:45 13:45 15:49 17:45 19:44 21:42 23:36 0:01 2:02 4:02 6:01 7:58 9:58 11:58 13:58 15:59 17:59 20:01 22:01 11

  12. Energy consumption • Students collected the data of the daily energy consumption of their own houses: – the energy consumption of the electric appliances was monitored; – the natural gas consumption was monitored by gas meter; – the wood and coal burned in furnaces were measured in weighing-machines (scales).  E N A N  total , i , j  ave ave E , total , i  N A N  j 1 j j 12

  13. • The ‘heating season’ spans from 1st October to 15th April; between 16th April and 30th September the period was designated as ’non - heating season’. • The average daily electricity consumption of students’ household was circa : – 37 MJ in the heating season – and about 35 MJ in the non-heating season. 13

  14. 3. Modelling • Now a model of an off-grid hybrid wind-solar power generating system is presented. • In this model we assume that the users cannot (or do not want to) rely on the electric grid system, therefore the energy produced by the hybrid wind-solar system is stored locally in accumulators. 14

  15. Model setup • The model setup is depicted schematically in figure 2. • The parts of the system are the power generating system (photovoltaic modules and wind turbines), the energy storage unit. 15

  16. PV modules and wind turbines • This off-grid hybrid wind-solar power generating system consists of N photov pieces of PV modules and N windt pieces of small wind turbines. 16

  17. PV module • A photovoltaic (PV or solar) cell converts the energy of light directly into electricity by photovoltaic effect. • In a PV cell the direct conversion of light to electricity occurs in semi-conducting materials. 17

  18. Power of a photovoltaic module • The power of a photovoltaic module ( P photov ) is proportional to the incoming light power [2]:     ,   η P = P t = A I t photov photov photov photov 18

  19. Power of one PV module • Figure 3 shows the power of one photovoltaic module on the days chosen. 10 Power 1 solar module (2014-Jan-1) 140 Power 1 solar module (2014-Apr-1) P [W] P [W] 120 8 100 6 80 4 60 40 2 20 time time 0 0 0:02 2:02 4:02 6:01 7:54 9:45 11:45 13:45 15:45 17:45 19:45 21:45 23:45 0:00 2:00 4:00 6:00 7:54 9:54 11:54 13:54 15:54 17:54 19:54 21:55 23:55 200 Power 1 solar module (2014-Jul-1) 120 Power 1 solar module (2014-Oct-1) P [W] P [W] 100 160 80 120 60 80 40 40 20 time time 0 0 0:01 2:02 4:02 6:01 7:58 9:58 11:58 13:58 15:59 17:59 20:01 22:01 0:01 1:55 3:55 5:53 7:50 9:46 11:45 13:45 15:49 17:45 19:44 21:42 23:36 19

  20. ith + T day day Energy of PV module 0      Δt E = P t N , photov , i photov photov ith day 0 • In figure 4 the sum-total electrical energy produced by one photovoltaic module on the days chosen is shown. 2,5 Energy 1 solar module (2014-Apr-1) 0,12 Energy 1 solar module (2014-Jan-1) E [MJ] E [MJ] 0,1 2 0,08 1,5 0,06 1 0,04 0,5 0,02 time time 0 0 0:00 2:00 4:00 6:00 7:54 9:54 11:54 13:54 15:54 17:54 19:54 21:55 23:55 0:02 2:02 4:02 6:01 7:54 9:45 11:45 13:45 15:45 17:45 19:45 21:45 23:45 5 Energy 1 solar module (2014-Jul-1) 2 Energy 1 solar module (2014-Oct-1) E [MJ] E [MJ] 4 1,5 3 1 2 0,5 1 time time 0 0 0:01 2:02 4:02 6:01 7:58 9:58 11:58 13:58 15:59 17:59 20:01 22:01 0:01 1:55 3:55 5:53 7:50 9:46 11:45 13:45 15:49 17:45 19:44 21:42 23:36 20

  21. Wind turbines • Wind turbine generates electricity from the kinetic power of the wind. • The power output of the wind turbine is proportional to the area swept by the blades and to the cube of the wind velocity. • The power of wind turbine ( P windt ) is assumed [3]:   ρ t     ,    air 3 P = P t = C A v t windt windt po rotor wind 2 21

  22. Power of wind turbine • In figure 5 the power of one small wind turbine can be seen on the days chosen. P [W] 40 Power 1 small turbine (2014-Jan-1) 100 Power 1 small turbine (2014-Apr-1) P [W] 80 30 60 20 40 10 20 0 0 0:02 2:02 4:02 6:01 7:54 9:45 11:45 13:45 15:45 17:45 19:45 21:45 23:45 0:00 2:00 4:00 6:00 7:54 9:54 11:54 13:54 15:54 17:54 19:54 21:55 23:55 time time 20 Power 1 small turbine (2014-Oct-1) 160 Power 1 small turbine (2014-Jul-1) P [W] P [W] 140 15 120 100 10 80 60 5 40 20 0 0 0:01 1:55 3:55 5:53 7:50 9:46 11:45 13:45 15:49 17:45 19:44 21:42 23:36 0:01 2:02 4:02 6:01 7:58 9:58 11:58 13:58 15:59 17:59 20:01 22:01 22 time time

  23. ith + T day day Energy of wind turbine 0      Δt, E = P t N windt, i windt windt ith day 0 • In figure 6 the sum-total electrical energy produced by one small wind turbine on the days chosen is shown. 0,4 Energy 1 small turbine (2014-Jan-1) 1,0 Energy 1 small turbine (2014-Apr-1) E [MJ] E [MJ] 0,8 0,3 0,6 0,2 0,4 0,1 0,2 time time 0,0 0,0 0:02 2:02 4:02 6:01 7:54 9:45 11:45 13:45 15:45 17:45 19:45 21:45 23:45 0:00 2:00 4:00 6:00 7:54 9:54 11:54 13:54 15:54 17:54 19:54 21:55 23:55 2,5 Energy 1 small turbine (2014-Jul-1) 0,10 Energy 1 small turbine (2014-Oct-1) E [MJ] E [MJ] 2,0 0,08 1,5 0,06 1,0 0,04 0,5 0,02 time time 0,0 0,00 0:01 2:02 4:02 6:01 7:58 9:58 11:58 13:58 15:59 17:59 20:01 22:01 0:01 1:55 3:55 5:53 7:50 9:46 11:45 13:45 15:49 17:45 19:44 21:42 23:36 23

  24. Produced energy • During the period of the project the wind speed, the pressure of air, the temperature of air and the sunlight is monitored in every D t =5 minutes automatically by a local weather station, so it is available for us. • The total daily production of electrical energy in our hybrid system on i th day can be determined by knowing, separately, the daily energy production of the solar modules and the daily energy production of the wind turbines: E = E + E , ee , i photov , i windt , i 24

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