• Ingen resultater fundet

Combined Thermal and Electrical PV Storage in Households

N/A
N/A
Info
Hent
Protected

Academic year: 2022

Del "Combined Thermal and Electrical PV Storage in Households"

Copied!
21
0
0

Indlæser.... (se fuldtekst nu)

Hele teksten

(1)

Combined Thermal and Electrical PV Storage in Households

– experience and measurement results

Ivan Katić, Senior Specialist, ik@teknologisk.dk

(2)

Increase self-cuncumption of PV electricity in households

Evaluate total efficiency of battery energy storage with a new BMS

Demonstrate cost-effective solutions for thermal storage

Test a new heat pump controller with smart grid functionality

Develop a simple tool for system sizing

Project scope

(3)

• Consumption profiles

Seasonal mismatch

Daily mismatch

Most PV systems export more than 50% of production

Annual profile

PV owner’s pain

(4)

• EnergyFlexHouses

NZEB design

500+ data points

Side-by side rooms

Floor heating

Radiator heating

(5)

Solar PV

3 x 400 V AC

Inverter

/charger Battery

INV

Heat

pump Heat pump DHW

Household electricity

Meter

Point of grid connection

Experimental system configuration

(6)

System components

• 2 x 3.5 kWp PV system

• 4.8 kWh LiFePo battery

• 2.3 kVA battery inverter

• 6 kW(T) heat pump

• 250 l buffertank

• 180 l DHW tank

• Smart electricity meter

• 2 x WiFi sockets

(7)

Smart Grid in practice

(8)

• Overall control based on SMA Home Manager 2.0

• Connection to smart grid ready NILAN heatpump

3 modes: Normal, off or high temperature (+10K)

Smart grid ready Heatpump Edimax 1

Edimax 2 SunnyPortal

(9)

Programming in Sunny Portal

Heats pump off +10 K set temperature

Normal

(10)

Day with few clouds

(11)

Battery cycling results

• Monthly AC efficiency 66-77%

• Standby losses are significant! It may be better to buy some power insteat of starting up the battery inverter.

• Difficult to determine state of charge when not fully charged. This caused the voltage guard to trip the whole system

(12)

Heat storage solutions in

family houses with heatpump

(13)

Total water volume = 250 + 180 = 430 liter.

Q = M*Cp*dT = 430 kg * 4,186 kJ/kgK * 10 K = 18000 kJ = 5,0 kWh thermal (10K)

Concrete floor mass = 2300 kg/m3 * 0,1m*100m2 = 23000 kg

Q = M*Cp*dT = 23000 * 2,38 kJ/kgK * 3 K = 164220 kJ = 45,6 kWh thermal (3K)

Total equivalent electricity use in a heat pump = 15-20 kWh/cycle

Theoretical heat storage capacity

(14)

Heat storage in 10 cm thick concrete floor

Heating supply temperature

Room temperature

(15)

Getting the lowest possible temperature for the heat pump A generic problem. Bypass circuits should be avoided!

Active heat storage requires an

intelligent control system with interface to all room thermostats

(16)

Period with heat storage only

Power modulation of the heatpump could help fill the gaps/cut the peaks

(17)

The power was reduced to 60%

and the battery connected

Longer runtime and 100% seff consumption in daytime

(18)

Simulation model

Priority of energy flows are indicated as 1/2/3

(19)

Simulation results

Resistance heating Heatpumps

PV system 8 kW

Battery 8 kWh

DHW storage 5 kWh Buffertank 15 kWh

(20)

What have we learned?

Smart Grid Ready does not mean end of all problems!

• Cloud monitoring and –control requires technical skills and a lot of attention

• Limited options for control of heat pumps as ”dump load” for excess electricity

• Central heating systems are not built for grid flexibility, smarter control systems are required

• The tested system was time consuming to adjust and was sensitive to many small technical problems

• Differentiated tariffs = game changer

(21)

Thank you!

Ivan Katić, Senior specialist, ik@teknologisk.dk

Referencer

RELATEREDE DOKUMENTER

The present paper is based on a case study focussing at Albena tourist resort in Bulgaria to design and develop a potential Mobile Thermal Energy Storage (M-TES) system for waste

Green and Vasilakos used a market equi- librium model with marginal generator costs to study market behaviour and the impact of wind power on longterm electricity prices using data

Benchmark Test for a Computer Simulated Person - Manikin Heat Loss for Thermal Comfort Evaluation..

Having individual heat storage technologies in connection with the heat pumps and solar thermal can reduce the biomass consumption of the energy system but only up to

Describe relevant applications of distributed control systems in smart grid and energy management context;. Explain why smart grid system need to be validated and what elements

The aim of the Smart Tool project was to develop a design concept of a future electronic service tool for refrigeration technicians serving cooling systems in

walls, roof and windows, installing a new and highly efficient balanced mechanical ventilation system with heat recovery, installing a new heating system (district heating) and

• Design of a smart heat unit based on a solar heating system, heat storage and electric heating elements / heat pump. DTU Byg, Ajva ApS &