In Solar 'Terawatt -Ela' means huge amounts of PV that come online, the construction of projects must be as streamlined as possible to achieve capacity goals, despite logistical delays and lack of labor.And foundations, to systems that can model an entire construction site and offer various optimum response options for every potential problem.Promises to help Solar EPC companies to build more projects in faster times while saving money.AI is mainly used in the construction phase so far, so this function is investigating the smart technologies, it has been implemented to overcome structural challenges that are in large -scale sun.
Although the availability of suitable soil decreases, but projects in size increase, the enormous procedures for installing millions of modules, trackers, piles and cables with precision under increasing control of developers looking at AI.Chain of COVID-19 and Handels restrictions to a certain extent, it remains to react optimally to logistics delays and a huge challenge and AI can offer solutions.
Built robotics
The workforce in the construction of the United States is in particular problematic, where EPCs have difficulty finding employees to build projects, the costs are high and many who use old and outdated techniques.Better tools or automation that can apply.
Focus on traditional stacking infrastructure for photovoltaic systems, is robotics built in San Francisco, slide manager, continuous track loaders (CTL), dozers and excavators and transforms them into robots by installing its hardware and software package as an exosytem.Internally, these machines transform into fully autonomous robots that can also be controlled through business software.
One of the first processes automated by built robotics, PV panels that have gone into place for material treatment using a CTL.De Geul then carried out the Geul on solar farms for the underlying electric frame, and the company is now trying to run traditional metal pile foundations in the Ground Solar Energy.erol Ahmed, communication director at Built Robotics claims that the tools that usually used for this never meant on a scaleWere and high, repeated and dangerous, so it should be an automated process.
The company claims that contractors who use the robots to automate ditch tasks can lead to savings of 10-30% on the existing costs of these specific tasks, depending on the costs of the labor market in the project area.Reach with more precision and less.
"What is interesting about Solar is that it is built as a large outdoor factory," says Ahmed."The problem of robotics in the construction is historically that construction sites are super dynamic and difficult to automate, designed to be automated."
Sol Farms, on the other hand, are suitable for automation because of the highly repeated processes involved in combination with the technology that becomes cheap enough.
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AI-based offers can also go beyond traditional structures.California-based Ojjo, for example, offers a subject stew that is optimized for solar energy that can bear the same loads as a single member who is located directly in the ground, but uses approximately half the amount of material.By taking advantage of the forces in excitement and compression, the tights emphasize "a much more elegant way than straight lines," says Mike Miskovsky, founder, chairman and CEO of Ojjo.
In addition, the company uses AI in its unique truss -Driver machinesReduce the installation time considerablyHere changes in real -time changes can feel and then make intelligent choices to optimize the installation with regard to accuracy, time and wear of equipment (see case study in box).
EPCs can insert a fleet of these professional farmers to offer precision foundations in huge places.
How to bridge the construction of large Zonne -Zonne energy with AI three machines, herds and processes
Gemini, North America's largest free-looking solar cell plus storage system, including 967 MW of solar energy and a 380 MW battery, required large quantities of foundations to be installed on difficult terrain in the northwestern Mojave desert.Use are software -driven Earth Threat System to install 257,000 professional stools.
Mike Miskovsky, founder, chairman and CEO of OJJO says that the introduction of this level of machine information and accuracy helps EPCs to drop the use of three classes of machines, three crews and three parts of a typical project plan.
Without this software-driven approach, EPCs are forced to use a very expensive drill to predict the holes for each H-pole.Machines with a stack of driver to hit each of these H -Piles in the ground.Their full depth - all the way to their intended depths.
Miskovsky claims that the OJJO machine eliminates the need for individual drilling and driving activities by executing both in a pass, while they also avoid the remedy phase because "each of the foundations has died exactly every time".
With the Gemini project, the AI system found dynamic because the circ*mstances changed underground and found large parts of the place where the soil conditions changed with each foundation.Drilling behavior, such as delaying to disturb less land.
“The soil that you drill is the only thing that gives you friction and extendable power to the base that you install later.Machine must be able to make these real time decisions to get a job in that scale that is achieved for time and budget. "
He also says that when the industry is extended to larger projects, these in terms of factory automation, machine -neutroming and artificial intelligence uses to take its decisions and processes "faster, more compact, intelligent and more accurately".
The Gemini project is installed, but it is currently successively activated.
The technology has been implemented since 2019 on 2 GW installed projects with a further 2.7 GW under dedication, including some of the largest projects in the country, such as 284 MW Shadow Mountain facility in Nevada, which was considered one of the most difficultestCaliche Earth Landet.The Ojjo system was able to eliminate the need to predict in this difficult place.
"We are starting to develop these projects under increasingly difficult soil conditions where the sub -boat encounters you a number of strangers," adds Miskovsky.Operators who install these posts are confronted with a number of opportunities for inaccuracy and for the lost time and project money.
Spoiled for choosing and simulating future solutions
Alice Technologies, based in San Francisco, offers a platform that AI uses to generate many possible design programs for a solar project.
The AI technology that is known as Alice can then be used for what the company calls "optioning", where an EPC can undergo a number of possible scenarios to see how the project structure can be optimized.
Phil Carpenter, CMO at Alice Technologies, describes how after Alice a series of promising drilling plans presented, a team can then experiment via AI-driven simulations, such as adding an extra tap on the spot to see if the building would go faster, AdderAdder Extra concrete herd for two days or testing the overall effects of an extreme weather event that occurs for a month.
PV projects spread over different sections or fields are very suitable for the use of Alice, says Kevin Fuller, Industrial Solution Manager at Alice Technologies.Linear cabling activities and electric work between the places.
EPCs also often have to be flexible about late deliveries, while currently acquiring electrical network equipment and transformers in the industry..If a project then falls during the construction, Alice can also automatically generate corrective schemes to put a project back on track.
The construction aspect of solar energy is "not wild complex," says Fuller, but placing rails in it, adding solar panels thousands of times and going over trenches, becomes more difficult by scale.Different possible scenarios.
"The easiest to put in the construction is putting things together," he adds."The hardest thing is to put them together in the right area at the right time."
It has been reported that the savings of Alice Technology for solar energy projects, on average a reduction in the duration of the project of 17%, a reduction in work costs of 14% and a reduction of 12% of the equipment costs.Europe and North America.
Does AI take away jobs?
The establishment of jobs of Sun Development has been an important public relations victory for the PV industry, but in many industries there is fear that human work will be replaced by AI.Instead, claim the fact that there is a lack of employees in the solar industry about projects where there is strong financing and public will.From the final and difficult to find work pool.
"We are pending the way for tons of new jobs and let a larger number of employees quickly train and learn how to use these machines," he adds.
For example, his company Ojjo offers training to employees without a direct background in Sunbuilding to quickly receive certifications to serve his machines in the field.
"You still need a lot of people, they just do different tasks, and we will claim tasks that serve them very well throughout their career" Construction of more sun than without.
AI to make PV grille integration
A company must ensure that AI goes to Solar further than the construction by concentrating on grid resistance in a world that is increasingly being threatened by storms, floods and other extreme weather conditions.Financial costs of future extreme weather events on the internet and offer a tool for long -term planning tools on the internet.
Both distributed and large-scale solar energy is used as a soothing power-generating technologies in many regions.Extreme weather conditions in the coming decades.
Rhizome's tools help tools to decide which hard investments are needed, such as underground, replacement of aging assets with transmission and distribution infrastructure and icaring for PV developers who introduce the right mix of distributed technologies to guarantee long-term resistance to these gratings.
"When utilities perform distributed resource planning, or third parties implement these solutions for resilience, it is really difficult to quantify this value of resilience to get a buy-in from supervisors and customers," says Thadani.Risk, our platform comes with cost payment analyzes for each type of solar project on the distribution system today.
Thadani admits that this does not fully solve the problem of the schedule connection with which many sun developers are confronted, but the tool will make it possible to implement more distributed energy sources by making a business case for both customers and regulators of these resources through their value ofto calculate resilience.
Given all AI solutions that fall under this article, it seems that AI is looking forward to a bright future in the construction and planning of the solar project, with an abundance of undiscovered applications that are still coming.
"We are very much using the use of this technology", that is more sun and a faster, cleaner energy infrastructure because we just don't have time to wait. "
"It certainly has the feeling of a Guntrush period," adds Ahmed.
