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- Prof. YANG Hongxing
Contents Development of solar PV power in the world Potential PV - - PDF document
Development of building-integrated photovoltaics for solar energy applications Prof. YANG Hongxing Renewable Energy Research Group (RERG) Department of Building Services Engineering, The Hong Kong Polytechnic University 13-12-2018 Contents
Until 2017,Asia contributes 54.5% to the total PV capacity, which is still growing; Percentage of PV in Europe is declining: 28% in 2017 ; American continent: 19%.
2017.
PV system costs in Germany
Item Mainland China Germany USA Hong Kong PV module (HK$/Wp) 5.74 7.8 7.8 7.8 Inverter (HK$/Wp) 0.8 2.6 3.3 3.9 Other devices (HK$/Wp) 1.6 1.8 3.6 12.4 Profit (HK$/Wp) 1.9 4.8 25.9 19.4 Installation (HK$/Wp) 10.0 16.9 40.5 43.4 Solar radiation (kWh/m2 Yr) 1000-2000 900-1200 1200-2400 1350 Energy cost (cents/kWh) 47.8 100.8 150.5 202.2
In 2020,world PV installation capacity: 700GW, and power generation: 730TWh; In 2022,wolrd PV installation capacity: 860GW,and power generation: 900TWh.
In 2035,0.3USD/W --0.4USD/W.
From German Advisory Council on Global Change (Title:World in Transition – Towards Sustainable Energy Systems, Flagship Report 2003).
Power generator Part of construction
Water proof Shading Noise barrier Insulation Natural lighting
Power generation from renewable energy: clean and CO2
No need of expensive land is used in urban areas; Reduction of construction cost due to replacement of cladding; No power transmission is needed and power is used in the
Peak power demand is reduced as solar power is generated when
Cooling load and lighting load may be reduced.
Skylight and atrium Shading type
Shenzhen World Garden Flower Exhibition Park
EMSD HQ in Hong Kong PolyU in 1999 Lamma Power Plant
Year of installation 2002 Power capacity 55 kWp Type of integration Vertical façade; semi- transparent modules; roof integrated modules
Amorphous silicon photovoltaic
Total generating capacity of 1
Reduce 915 tonnes of carbon dioxide
Capacity Factor – 12.9% Design life – 20-25 years
Capacity of the Renewable Energy System FiT rate (per unit of electricity -kWh)
pot. ac . .
t pv
.
potential act
stc
Source: (Global Industry Analysts, 2015)
Source: (Global Industry Analysts, 2015)
Current and forecasted BIPV penetration within the PV market for the period 2014-2021
Source: Nanomarkets , “Nanomarkets report BIPV Market Analysis and Forecast 2014-2021,” 2015.
Source: Nanomarkets , “Nanomarkets report BIPV Market Analysis and Forecast 2014-2021,” 2015.
x T x T V Y, U X, T V U , ,
Transparent PV module
20 40 60 80 100 120
Electricity use (kWh)
Cooling electricity use
PV-DSF 6 mm clear glass
BIPV test bed at Tung Chung PV shading PV-IGU PV-DSF
PV glazing Inner glazing Outdoor Indoor
PV-IGU
PV-DSF
10 20 30 40 50 60 70 100 200 300 400 500 600 700 6:00 8:00 10:00 12:00 14:00 16:00 Time Power output (W) Solar radiation (W/m2) Solar radiation Power output of PV-IGU 20 40 60 80 100 120 140 100 200 300 400 500 600 700 6:00 8:00 10:00 12:00 14:00 16:00 power output (W) Solar radiation (W/m2) Time Solar radiation Power output from PV-DSF 20 40 60 80 100 120 140 160 180 200 100 200 300 400 500 600 700 800 900 1000 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 power output (W) Solar radiation (W/m2) Time Solar radiation Power output from solar PV shading 5 10 15 20 25 Dec Jan Feb Monthly power output (kW) PV-IGU PV-DSF PV shading
Power output of PV-IGU on a typical sunny day Power output of PV-DSF on a typical sunny day Power output of solar PV shading on a typical sunny day Monthly power output of PV systems
Simulation tools: Berkeley Lab WINDOW, EnergyPlus A generic representative model
Continuous dimming control Sandia Array performance Model
1) Significant difference among different months: more in winter and less in summer. 2) Annual electricity output varies with orientations: SW > SSW > WSW > S > … > E
Monthly power output per unit area of south facing solar PV windows Annual power outputs per unit area of solar PV windows in different orientations
Power generation performance in Hong Kong
Glazing type PV-I PV-II PV-III Transmittance (%) 10 20 30 Maximum power, Pm (W) 58 51 44 Maximum power voltage, Vm (V) 69 69 69 Maximum power current, Im (A) 0.84 0.74 0.64 Open circuit voltage, Voc (V) 89 89 89 Short circuit current, Isc (A) 1.01 0.89 0.77 Fill factor, FF 0.64 0.64 0.64 Efficiency, η (%) 7.3 6.5 5.6 Temperature coefficient of Isc (%/˚C) 0.02 0.02 0.02 Temperature coefficient of Voc (%/˚C)
Temperature coefficient of Pm (%/˚C)
Dimension 1.245 m * 0.635 m
Simulation setup – glazing materials
Annual PV power output Location: Beijing > Harbin > Kunming > Shanghai > Hong Kong Higher transmittance → Lower power output
MBE(%) = 3.4% CVRMSE = 23.7% MBE(%) = 3.4% CVRMSE = 29.1% MBE(%) = 5.0% CVRMSE = 29.8%
Test bed Simulation model Window heat gain Daylighting illuminance Power output
Model development and validation
0% 10% 20% 30% 40% 50% 60% Harbin Beijing Shanghai Hong Kong Kunming PV-DSF PV-IGU
Energy saving potential of PV-DSF and PV-IGU compared to reference window
14% PV-IGU PV-DSF 57% 52%
both external and internal shadings affect the daylighting performance of the room.
has not been reported yet.
Due south, Tilt angle: 55˚, Error: 5% Simulation model of solar PV shadings Validation of the electricity output
Best orientation: South S>SE>SW>E>W (tilt angle<30˚) S>SW>SE>W>E (tilt angle>30˚) Optimal tilt angle: 30˚
Annual electricity generation of solar PV shadings
43 kWh/m2
the advantage of the high thermal insulation performance of vacuum glazing and the power generation capability of STPV windows.
The structural details of VPV IGU The cross-section of VPV IGU
common double pane window with the U-value of 2.5W/m2*K.
measurement when the sample is small, it can be expected that the center U- valve of vacuum PV glazing should be lower in a large-scale application.
Super-hydrophobic , θ(Lotus leaf):>150° Super-hydrophilic,θ(clean glass surface):<10° Super-hydrophobic self-cleaning glass Super-hydrophilic self-cleaning glass
With self-cleaning coating Without self-cleaning coating