Article | July 15, 2022
While most businesses presently strive to achieve environmentally friendly operations and lower their carbon footprints, this argument might not sway all businesses or company executives. While using renewable energy sources or energy management systems has clear environmental benefits, businesses that want to improve their operations and decrease overhead expenses should also consider such technologies.
A steady and high-quality power supply is required for the smooth running of any kind of industry. Energy management systems (EMS) are used by a variety of industries to provide a consistent and dependable supply of energy.
Energy Management Systems: Advantages for a Business
Businesses and industries that use energy management solutions often achieve considerably bigger savings than those that do not use such systems. EMS examines all of the company's processes and enhances them for energy savings. The savings realized by the usage of energy management systems have a direct influence on the bottom line. Some of the most significant benefits of energy management systems are listed below.
Improved Brand Image
Using energy management systems result in lower power usage and, as a consequence, more environmentally friendly operations. Process optimization is recognized by business clients, customers, and suppliers because it shows excellence in planning and management.
Better Productivity and Competitive Edge
Reducing energy consumption via process optimization and effective load planning not only increases the overall productivity of industrial operations but also helps businesses to catch up with their competitors through continual process development.
Energy management systems can ensure at least a 20% decrease in energy bills. System administrators can save up to 10% of their total energy expenditures with modest investments and no upfront costs. Supervisors can save up to one-third of their initial overhead expenses by using energy management solutions in a planned and methodical manner.
An energy management system can help any organization save money on energy bills. There are many different energy management systems on the market, so make sure you choose one that is the right size for your business. If you're unclear about which system to buy, a good energy monitoring system can help you assess your performance and point you in the correct direction for process improvement.
Article | December 17, 2021
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.
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 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.
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.
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.
Article | June 8, 2022
As the worldwide use of artificial intelligence (AI) in the energy market is expected to reach $7.78 billion by 2024, with a CAGR of 22.49% from 2019 to 2024, it is easy to see why it's a popular topic on the minds of many leading brands in the energy sector, as well as investors looking to reap the future perks that AI could bring to the energy industry.
According to BIS Research, North America is expected to be the largest market for AI in energy through 2024. However, Asia-Pacific is expected to rise rapidly over the same time due to the rising need for more decentralized power production.
Investment Opportunities in AI-based Energy Industry: Economic Visibility
AI's economic viability and progress in the energy business can be attributed to numerous factors, including:
The desire to increase operational efficiency.
Increased interest in energy efficiency.
Decentralized electricity generation is being expanded.
Battery storage solutions are gaining popularity.
Since artificial intelligence has a wide range of applications, there are several investment opportunities in the energy industry.
Upstream Oil and Gas
Enhance efficiency and decrease downtime, which is critical for hydrocarbon companies owing to volatile oil prices and demand, to lessen the environmental implications of energy generation and consumption.
AI has the potential to enhance interactions between contact centers and consumers. Utilities that outsource to contact center providers can suffer significant fees. This is where AI, particularly when combined with natural language processing (NLP), can assist contact center operators by listening to conversations and automatically noting information in the appropriate apps, helping operators to make calls more reliable, effective, and satisfying to customers.
Smart Homes and Cities
AI integration benefits smart meters and smart energy management systems as well. Many residences and towns can utilize AI to collect real-time data and apply it in a number of ways to function more effectively and efficiently, enhancing sustainability while also making a living more comfortable and cities more accessible.
Monitoring Trends in Energy Generation and Consumption
Artificial intelligence is being utilized to assist energy companies and customers in recognizing and tracking patterns in energy generation and consumption. AI, for example, can predict the potential output of a certain wind or solar plant.
Banking, finance, and trade are some of the suitable businesses that can profit. For example, AI and machine learning can be used in algorithmic trading, which involves utilizing computer programs to make trades in the energy business at speeds and frequencies that any human trader would consider inconceivable.
STRATEGY AND BEST PRACTICES
Article | July 8, 2022
Renewable energy has transformed our planet. It's raised awareness of global warming and climate change. Both governments and ordinary people are seeking to move from fossil fuels to renewable energy because of this awareness. Technology's involvement in this revolution cannot be understated. Thought a few years ago that solar energy would power average houses in small communities. Thanks to the widespread manufacture of lithium-ion batteries, EVs will be the next big thing.
Major Renewable Energy Technologies Transforming the Future
Despite the name, this is not a conspiracy theory about global dominance. Modern technology converts electricity into synthetic fuels, thermal energy, and hydrogen. This breakthrough technology can minimize fossil fuel dependence by focusing on synthetic ones. It can also help with efficient storage solutions.
Green Appliances and Machines
Leading household appliance makers are launching solar-powered appliances. This is a wonderful start toward minimizing family power expenses. Many households have begun to invest in gadgets such as solar air conditioners.
Distributed Generation Systems
Several locations are experimenting with distributed generation. This reduces dependence on a centralized grid and simplifies transmission and distribution. It also reduces grid dependability and failures.
Most European nations are actively electrifying to cut carbon emissions. This is not the same as a power supply. Rather, it implies developing assets and infrastructure that can shift and aid in the adoption of electricity. Providing public EV charging stations is a step towards electrification.
Prominent private companies such as Google, Apple, and Microsoft have made significant commitments to renewable energy in recent years. While some governments are actively attempting to make the shift, others have yet to take environmental challenges such as global warming and climate change seriously. Technological breakthroughs are helping to make the transition to renewable energy greener, quicker, and more economical.