Renewable energy -hope for a sustainable futureThe damaging effects of climate change are already upon us. So far this year, locals and tourists have been forced to flee raging wildfires in the beautiful islands of Greece. In Madagascar, more than a million people are suffering from hunger and malnutrition due to the worst drought in 40 years1. Flash floods in Sudan have displaced large populations and damaged infrastructure and crops. In China, wild weather swings have brought torrential rains in some parts, while other regions bake in scorching heat.
That is anything but an exhaustive list. And so, we must act now to stop human induced climate change. Fortunately, the world has awakened to this realisation. The gap between global investment in clean energy versus that in fossil fuels is starting to widen.
This blog outlines some of the biggest renewable energy mega projects happening around the world which show that, when bold ambition meets innovation, there is hope for a more sustainable future.
Energy Island, Denmark
Denmark is building an artificial island capable of powering the entire country in what the Danish government claims is a ‘gigantic green quantum leap’. The island will be built 60 kilometres (km) offshore to benefit from stronger winds, be the size of 18 football pitches, and could house up to 600 giant wind turbines. Denmark plans to complete the project by 2030 with the aim of supplying 3-4 gigawatts (GW) of energy and ultimately expanding to almost 10GW. This future expansion will allow Denmark to export energy generated from the island2.
Denmark constructed the world’s first offshore wind farm in 19913 and has, since then, had a strong focus on generating renewable energy from the strong winds in the North Sea. This project will be a monumental culmination of that policy focus. In addition to wind power generation, the island will also have battery storage and an electrolysis plant to produce green hydrogen.
This trio of technologies that will be situated on the island neatly illustrates their interconnectedness. Battery storage is essential to make wind a dependable source of energy, by enabling it to be deployed as and when required, particularly over shorter durations of time. The production of green hydrogen requires a current of renewable energy to be passed through water to separate hydrogen from oxygen. That hydrogen can then serve as a store of energy for long periods of time, like days or weeks, and can be converted back into electrical energy through fuel cells. Scaling up all three together is a smart course of action.
Gansu Wind Farm, China
The Gansu Wind Farm in China’s first phase was completed in 2010 with a 5.16GW capacity and has since held the spot as the world’s largest wind farm. The project continues to expand and, in 2021, its capacity reached 10GW. When finished, it will comprise 7000 wind turbines and reach a capacity of 20GW4.
The Gansu Wind Farm sits on the outskirts of the Gobi Desert in northern China, considered an extremely remote and hostile area. To get electricity from the wind farm, China has built a 2,383 km transmission line5.
The Gansu Wind Farm highlights how, with enough willpower, onshore wind (turbines on land) can be deployed at scale. Onshore wind projects often face their own set of challenges when land is at a premium. There is often an opportunity cost of building large onshore wind farms if space must be taken away from agriculture or housing, or if there are ecological risks. By contrast, the Gansu Wind Farm resides in an uninhabitable part of the world with very windy conditions making it a highly fruitful endeavour for harnessing onshore wind, albeit one requiring a bit more effort to build and maintain.
Bhadla Solar Park, India
What else is abundant in a desert? Sunshine. The Bhadla Solar Park in India’s desert state of Rajasthan is the largest solar farm in the world, spanning over an area of 14,000 acres. The farm was commissioned in 2017, has a capacity of 2.25GW, and contains over 10 million solar panels6.
One of the challenges faced by solar power projects situated in deserts is that sand can form a layer over the modules restricting the amount of sunlight that goes through. To overcome this challenge, the facility uses robotic cleaners that employ microfibre rollers to clean the panels7.
For a country like India where there is plenty of sunlight, solar power makes a lot of sense. Again, deserts may be hostile environments for installing and maintaining such projects, but these projects minimise the opportunity cost of using land for creating solar power. For an emerging economy with a large population and substantial energy needs, such projects also reduce the country’s dependence on fossil fuel imports, a great outcome for both the environment as well as the economy.
Dezhou Dingzhuang Floating Solar Farm, China
The Dezhou Dingzhuang Floating Solar Farm in Dezhou, China is the largest floating solar farm in the world. The solar panels float on a reservoir in Shandong – an eastern province of China on the Yellow Sea. The total capacity of this project is 320 megawatts (MW). It is also connected with 8 megawatt hours (MWh) of battery storage and a 100 MW wind farm which together make up the Huaneng Dezhou Dingzhuang Integrated Wind and Solar Energy Storage project8.
Floating solar offers numerous benefits, including maximising land use efficiency, conserving water resources by reducing evaporation, improving solar panel efficiency through cooling effects, and enhancing grid stability by being located closer to where the demand is.
A final word
Renewable energy projects are becoming bolder, more innovative, and being built with a greater sense of urgency. This has exciting implications for the renewable energy value chain. For example, more modules need to be manufactured so they can be installed in large solar farms around the world. Wind turbines, which are becoming bigger and bigger, need to be manufactured at scale to establish onshore and offshore wind farms. Hydrogen electrolysers are required to produce green hydrogen and fuel cells are needed to use green hydrogen as a fuel source. Similarly, when wind turbines or solar modules float on water, specific components are needed to make that happen. All of this creates promising opportunities for investors in the renewable energy value chain.
Sources
1 Source: United Nations, July 2023.
2 World Economic Forum, The Danish Energy Agency (part of the Ministry of Climate, Energy and Utilities), 2023.
3 The Danish Energy Agency (part of the Ministry of Climate, Energy and Utilities), 2023. ens.dk
4 Discover Clean Tech, 2023. discovercleantech.com
5 Discovery UK, 2023. www.discoveryuk.com
6 Ornate Solar, 2023. ornatesolar.com
7 National Geographic India.
8 YSG Solar, 2022.
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Source
Buy and Sell signals from MACD and RSI scriptThis code includes various input parameters that users can configure, including RSI and MACD periods, RSI overbought and oversold levels, MACD timeframes and signal period, and stop loss and take profit levels.
By using the input() function, users can easily change the values of these parameters through the script's settings/inputs, without needing to modify the code itself
//@version=5
// Author: divinedestinyman
strategy("RSI-MACD Strategy with Multiple Timeframes", overlay=true)
// Define input parameters
rsi_timeframe = input(title="RSI Timeframe", type=input.resolution, defval="D")
rsi_period = input(title="RSI Period", type=input.integer, defval=14)
rsi_overbought = input(title="RSI Overbought Level", type=input.integer, defval=70)
rsi_oversold = input(title="RSI Oversold Level", type=input.integer, defval=30)
macd_timeframe = input(title="MACD Timeframe", type=input.resolution, defval="D")
macd_fast = input(title="MACD Fast Period", type=input.integer, defval=12)
macd_slow = input(title="MACD Slow Period", type=input.integer, defval=26)
macd_signal = input(title="MACD Signal Period", type=input.integer, defval=9)
stop_loss = input(title="Stop Loss", type=input.float, defval=0.02)
take_profit = input(title="Take Profit", type=input.float, defval=0.02)
// Calculate RSI and MACD values
rsi_value = request.security(syminfo.tickerid, rsi_timeframe, rsi(close, rsi_period))
= request.security(syminfo.tickerid, macd_timeframe, macd(close, macd_fast, macd_slow, macd_signal))
// Generate buy and sell signals
rsi_buy_signal = crossover(rsi_value, rsi_oversold)
rsi_sell_signal = crossunder(rsi_value, rsi_overbought)
macd_buy_signal = crossover(macd_line, macd_signal_line)
macd_sell_signal = crossunder(macd_line, macd_signal_line)
// Plot RSI and MACD lines
plot(rsi_value, color=color.yellow, title="RSI")
plot(macd_line, color=color.blue, title="MACD Line")
plot(macd_signal_line, color=color.red, title="MACD Signal Line")
// Execute long and short trades based on signals
if (rsi_buy_signal and macd_buy_signal)
strategy.entry("Buy", strategy.long)
if (rsi_sell_signal and macd_sell_signal)
strategy.entry("Sell", strategy.short)
// Close long and short trades based on signals
if (macd_sell_signal and strategy.position_size > 0)
strategy.close("Buy")
if (macd_buy_signal and strategy.position_size < 0)
strategy.close("Sell")
// Set stop loss and take profit levels for long and short positions
strategy.exit("Exit Long", "Buy", stop=close * (1 - stop_loss), limit=close * (1 + take_profit))
strategy.exit("Exit Short", "Sell", stop=close * (1 + stop_loss), limit=close * (1 - take_profit))
BTC BROKE THE FALLING WEDGE AS WE EXPECTEDAs we shared our idea with you in the last analyse,
The federal Reserve has increased the bank rate for only 1%
That made Bitcoin and all the other altcoins Pumped
But for Extra Information of FOMC decision
Please be aware of the market
source based analysis NU M15price is completing a two stage correction into redzone above
look to enter short for expectation of test of lows and NSL
Price can only tell us everything it knows about source.
Source based analysis.
Source based analysis EJ H1requested by my fellow poster @f130nacci
price tells us order flow is immediately bullish, expectation remains NSH
Potential exhaustion zone completing overhead, according to price
From what price can tell us about source.
Look to join continuation short from zone overhead
Indicators will only ensure you are futher removed from price, and in turn from source. Get close to price, get closer to source.
NU source based analysis M15price suggesting exhaustion zone overhead, look to sell correction from here - countertrend with usual situational awareness
continuation long opportunity from below level wait for price to confirm what it can
get close to price get closer to source
EURCAD H4 Source based analysisrequested by my fellow poster @RonaldAviles
EC remains bearish in the short term, wait for price to tell us all it knows about source before presuming to know what order flow is working towards.
Price can tell us what is knows. Get close to price, get closer to source.
AU H4 source based analysisrequested by my fellow poster @mitchell.morris.96
Source based analysis on h4 AU
Price is our ticket to source. GET CLOSE to price!!
AUDUSD Source based analysis M15price tells us all it knows about source.
Look to short at completion of correction into continuation low
immediate expectation is new structure high however expectation has severely weakened. price has spoken.
watch how price approaches 8020 for signs of expectation failure, order flow will translate through price.
medium term expectation of a break of 7986 structure and down to retest of lows.
Price will tell us everything it can along every step of the way
EU source based analysis M15requested by a fellow poster:
Source based analysis on EU M15. Trade with expectation according to what price can tell us about source.
Two likely completion areas to rejoin continuation long to retest highs.
Order flow is source. Get close to price.
source based analysis on USDCHF M15price is overextended suggesting source order flow may be retracting
trade open short
