Strategy and Best Practices
Article | July 8, 2022
The pandemic emptied out most of America’s offices as workers across the country set up home workstations. Although this looked to be a temporary situation for many, it has become clear that many workers are choosing to continue to work from home, and many businesses are embracing this concept as well. If you’re one of those individuals, you may want to consider adding solar to your home.
A shift in power usage
According to the National Bureau of Economic Research, “Americans spent $6 billion more on at-home power consumption from April to July 2020 than during normal times, nearly offsetting a decline in business and industrial demand.” The increase in residential consumption was fueled by increased home heating and cooling demands, workers participating in virtual meetings, running computers, printers, lamps, and other electronic devices all day long. This has resulted in a shift in energy costs from corporations to employees, with many workers seeing significant increases in their home utility bills.
Capitalizing on higher demand to maximize your system size
Solar can be a great way to offset the costs of your home's energy demands. Because your consumption is currently higher than it would be if you were working at your company's office, you have the ability to install a system that will more than cover your electricity needs if and when you do return to a corporate office setting. Although your increased usage means you'll need to add a more extensive solar photovoltaic system to your home to do this, it also provides you with an opportunity to maximize your system's size to meet your needs.
Incentives and savings
The federal solar tax credit, also known as the investment tax credit (ITC), allows you to deduct 26 percent of the cost of installing a solar energy system from your federal taxes. However, that number falls to 22 percent in 2023 and goes away in 2024 for residential projects, while commercial projects are reduced to 10 percent ongoing. The ITC applies to both residential and commercial systems and there is no cap to the size of the system the ITC can be applied to. Making plans now to invest in a solar PV system for your home can be a great way to continue to reap the rewards of working from home without it having a significant negative impact on your monthly utility bill.
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Energy, Industry Updates
Article | July 29, 2022
Cleaner energy resources are the dire need of the hour and this is a known fact. While scientists and experts across the planet are striving hard to reduce our reliance on fossil fuels, our energy needs have never faced a downfall- thanks to rapid industrialization and urbanization. Although renewable resources like solar, wind, and hydro-electric power are the most popular alternatives, these are seasonal energy sources and the energy production from the same will not be similar all around the year. The fluctuations in production hence cannot always meet the energy demand of the population, and this makes the renewable energy sources not completely reliable.
Solar Production v/s Demand of the same in a year
What and How H2 is produced?
Now, this is where Hydrogen- the first element of the periodic table comes to the spotlight with a solution. Being a gas, hydrogen fuel can very well cater to our energy needs and is produced from techniques including Thermochemical, Solar-Water splitting, electrolytic and biological processes. While the production of this cleaner energy source leaves a carbon footprint of about 830 million tonnes in the form of CO2 annually, the result being a zero-emission fuel is what makes H2’s future bright.
Storage of H2 – the million-dollar question:
Having almost cleared the need and methods of producing hydrogen fuel, we will be looking at an area that is usually not given much thought about and that is the storage of H2. As already mentioned, for time being let us consider hydrogen as an alternative to renewable resources which is utilized when the energy demand increases drastically. While producing the fuel in the nick of time is obviously undoable, sufficient storage of H2 anticipating the demand is the best choice. Like Natural Gas, Hydrogen is also compressed before storing to achieve lower volume and also because liquid hydrogen demands a 64% higher amount of energy for storage than its compressed gaseous counterpart.
Storage tanks v/s Geological landforms:
Compressed Hydrogen can be stored in surface storage vessels (like steel composite concrete vessels and in wind turbine towers) or in geological landforms like (salt caverns, depleted O&G reservoirs, and aquifers). Nevertheless, unlike the underground geological landforms which offer huge storage capacity owing to their sheer scale, the storage tanks which can range in size from a small bottle to a huge tank require high amounts of pressure to store an appreciable amount of H2 in it. Since these storage tanks are usually constructed on the surface, the pressure conditions in these tanks need to be artificially stimulated and thereby mount huge upfront costs when compared to their geological storage counterpart.
H2 storage prices in Geological Landforms v/s Storage Vessels (in $/kg)
The above is a table comparing the prices of Hydrogen storage in Geological landforms and Storage Vessels at different pressure conditions. It is visible from the table that it's about 218 times cheaper to store the same amount of hydrogen in Geological landforms than in storage vessels.
Is geological storage truly a better option?
Like any other storage option geological storage too has its pros and cons. From the erosion of pipelines to the tedious task of injecting the gas and maintaining it at apt pressure conditions, geological storage has its limitations. However, the important prerequisite is the availability of the suitable landform itself.
While most of the Depleted O&G Reservoirs have already met all the requirements for a suitable Underground Hydrogen Storage (UHS) system, the presence of unrecoverable remnant fluids in it makes it both a boon and a bane. This is because the presence of remnant fluids like oil and gas satisfies the cushion gas need for efficient storage of H2 in the reservoir, chances of contamination of H2 by the same is also high. This is the reason why Aquifers too aren’t favorable underground landforms when it comes to hydrogen storage.
Salt Caverns- the best UHS System?
The problem of Hydrogen contamination in Depleted Oil & Gas reservoirs and aquifers leaves us to the next big suitable subsurface landform- salt caverns. Unlike the other two landforms, the problem of contamination can be prevented in these dome-like structures formed due to the upliftment of salt deposits and it is also found that about 98% of its storage efficiency can be used to store Hydrogen here. The reason behind its relatively expensive nature when compared to its other two counterparts is due to the process of salt removing or leaching that must be done before storing to ensure that the contamination of the gas is unheard of at least here.
Suitable Conditions of UHS:
As per Stefan Iglauer, the maximum amount of H2 can be stored at a depth of 1100m beneath the Earth’s surface and the capacity gradually decreases up until 3700 m depth beyond which the wettability of the gas increases as it percolates through the rocks and hence cannot be permanently immobilized. Conclusively it is found that suitable landforms formed at 1km depth can store up to 2.0 Mt of H2. Comparing this 2 MT storage capacity of Salt Caverns with the currently available storage tanks which can store about 800 kg of H2 in it, it is visible that geological landforms have a clear upper hand at least when it comes to storage capacity.
Future of UHS:
With demands for Hydrogen fuel estimated to grow at 5.48 % annually and the need for a suitable storage system of the same at 5.8% annually, the field of Underground Hydrogen Storage systems indeed has a bright scope. Moreover, to meet the large-scale needs of Industries, there is an imminent need to level up the storage capacity of H2 and by exploring suitable geological landforms across the globe, the estimated industrial need of 1200 kT/ year in 2050 can be met.
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Solar+Storage
Article | June 14, 2022
Machine learning and artificial intelligence (AI) are two of the most commonly used commercial phrases these days. As a result, companies across sectors are searching for methods to include them in order to optimize and automate their key operations. The energy sector is no exception!
Indeed, throughout the years, renewable energy industries (wind, solar, hydro, nuclear) have substantially gained from the potential of machine learning. They were able to reduce their expenses, make better projections, and raise the rate of return on their portfolio. And this tendency is just going to gain momentum. If your company is in the energy industry or utilizes a lot of power, machine learning and AI can help you improve your business performance. But how precisely? Let's get started.
Ways in Which AI and Machine Learning are Changing Energy Sector
There are a few methods that machine learning and AI can be applied to positively improve the energy industry. Here are a few popular applications currently under development.
Predictive Maintenance
AI helps match energy output with demand and ensure power grid stability and resilience.In 2003, a low-hanging high-voltage electricity line hit an overgrown tree in Ohio, causing a widespread blackout. There was no power system alarm and no sign of the incident. The electric company didn't notice until three additional power lines failed. This carelessness ultimately brought down the whole grid. The 50 million-person blackout lasted two days. Eleven individuals died, and $6 billion was lost.
Predictive maintenance can be implemented using machine learning and IoT
Sensors gather operational time series data from electricity lines, equipment, and stations (data accompanied by a timestamp).
Machine learning algorithms can then forecast when a component will fail (or n-steps). It can also anticipate machinery's remaining usable life or future breakdown. These algorithms detect machine failure, eliminate blackouts or downtimes, improve maintenance procedures, and reduce maintenance expenses.
Grid Management
Grid management is a promising AI application in energy. Complex networks distribute electricity to users (also known as the power grid). Generation and demand must always match in the electrical system. Other issues, like blackouts and system breakdowns, can occur.
Despite being ancient, pumped hydroelectric storage is the most common way to store energy. It operates by moving water upwards and letting it fall into turbines. Renewable energy makes predicting the grid's power generation challenging. After all, it is affected by a variety of things, like sunlight and wind.
Demand Response
Large demand shifts can be expensive for nations that depend on renewable energy. As nations migrate to green energy, it's harder to adapt to demand fluctuations. Germany plans to use 80% renewable energy by 2050.
Countries such as Germany will encounter two major challenges Demand fluctuations: On some days or times of the year, power consumption soars (on Christmas, for example) Weather volatility: Without wind or clear skies, it might be hard to meet electrical demand. In both circumstances, more stations or fossil fuel-powered facilities must meet demand
Solving demand response issues
Many nations are partnering with businesses to examine weather forecasts, power demand, etc. Germany's EWeLiNE project forecasts wind and solar energy at a specific moment. This enables the government to use non-renewable energy to meet additional power demand.
They utilize enormous historical data sets to train machine learning algorithms, as well as data from wind turbines or solar panels, to properly balance supply and demand.
Closing Lines
AI increases the potential of humans. Several renewable energy producers are investing in artificial intelligence to boost their businesses.There are numerous uses of artificial intelligence in renewable energy. The fundamental purpose of AI integrated systems is to reduce forecasting issues and incorporate renewable energy into the central energy grid as effectively as possible. AI can also assist renewable energy providers in developing successful plans and policies based on present energy consumption and demand.
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Energy
Article | May 19, 2021
It all started about four years ago, when SUVs and pickup trucks drove uninvited onto their lands, remembers Olimpia Palmar, a member of the Indigenous Wayúu peoples, who historically have occupied the La Guajira desert in northern Colombia and Venezuela. "We started seeing these arijunas [Wayuúunaiki for non-native peoples] wearing construction helmets and boots and vests, getting out of the cars, checking the desert, and then leaving," she recalls.
Word soon began circulating across the Guajira Peninsula, from the rancherías — the community’s rural settlements — to the few urban centers: The arijunas were offering money to those who would let them plant tall, slim towers on their lands to measure the wind. On La Guajira’s dusty earth, where few things grow, towers began to sprout. By 2019, at least 30 wind-measuring towers had risen on Wayúu land, according to a report by Indepaz, a nonprofit research center.
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