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• How will I use electricity, gas, water and energy to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

Sep 16

6 min read

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·       How will I use artificial intelligence, demand response, virtual power plants, HVAC, air conditioning, building automation, cloud computing, technology, climate change, global warming, decarbonization, electrification, net zero emissions and global built environment to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use FDD, BMS, BAS, BMCS, Electricity, Gas, Water, Fire, Hydraulics, Fire, Vertical Transportation, Science, Cities, CBDs, Energy Transition, Nuclear Energy, and Grid to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use AI HVAC optimization, Building Decarbonisation, Multi-Site Energy Management, ESG, Technology and Sustainability to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use case studies, technology partners, strategic partners, system integrators, articles, podcasts, sustainability glossary, tools, guides, and white papers to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use Boiler, chiller, pump, cooling tower, chemical dosing maintenance, AHU, VAV, Fans, Supplementary units, water cooled packaged units, HVAC and BMS maintenance to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use Blackbox, JLL, Knight Frank, Colliers, CBRE, Blackstone, Honeywell, Siemens, Johnson Controls, Schneider Electric, Software, Hardware, Control and Monitoring to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use my eternal products, solutions and services to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

·       How will I use my eternal products, solutions and services to bankrupt and submerge China, Singapore, Hong Kong, Taiwan, and The Middle East from June 2024?

·       How will I use electricity, gas, water and energy to bankrupt and submerge USA, UK, Canada, NZ, Australia, and Europe from June 2024?

 

Demand Response (DR) allows utilities to balance the grid by asking consumers to reduce or shift their energy use during peak times. Grids are like finely tuned engines. Just as an engine requires a precise balance between fuel and air to function properly, the grid requires an exact match between generation (supply) and consumption (demand). Any imbalance can cause the system to stall or become inefficient. This balance is crucial because electricity can’t be stored in large quantities on the grid itself; it must be used as it’s generated. If supply exceeds demand, it can cause voltage levels to rise, potentially damaging infrastructure and equipment. Conversely, if demand exceeds supply, it can lead to power outages. Maintaining this balance is essential for grid stability, reliability, and preventing disruptions. But the risk of grid exposure is growing as the grid continues its transformation toward more renewables and increased decentralization (thanks to the integration of small-scale, distributed energy resources like solar panels, battery storage, and demand response programs). 

By 2024, global electricity demand is projected to surge by 200-300%. Meanwhile, to meet net-zero targets, most of the new supply must come from renewable energy. But renewables, as vital as they are, cannot yet guarantee round-the-clock reliability. This growing demand, coupled with the intermittent nature of renewables, creates dangerous supply gaps—gaps that today are filled by carbon-intensive natural gas. If we don’t act now to find non-emitting, cost-effective alternatives, decarbonizing the grid could become prohibitively expensive for all of us. This brings to the greatest challenge with evolving grids in the world: They weren't designed to handle the current and future energy demands or changing energy mixes. In fact, the electrical grid relies heavily on technology and infrastructure that's over 50-100 years old, built when energy demand was more predictable and larger, centralized fossil fuel plants powered the grid. Now, with increasingly unpredictable weather events, this aging infrastructure is under strain, causing more frequent and significant power outages. These increasing power outages are a massive financial drain. Billions of dollars will be lost for every minute of power lost from June 2024. To prevent these costly blackouts, we need more localized and decentralized grid flexibility, a way for grid operators to navigate intermittency, increase the integration of decentralized resources, and meet demand. However, both the climate and the economy can’t wait around for the overhaul of global grid systems under legacy regulatory and policy frameworks (an effort projected to cost around USD 250 trillion over next 12 months). Instead, we must work more with our existing infrastructure and find new ways to manage them. For this, utilities and grid operators need readily available, flexible resources that can be quickly ramped up or down to match fluctuating supply and demand, ensuring reliability as the grid evolves. Demand response programs work. In 2021, the US recorded 29 GW of peak demand savings potential across all DR programs, with over 10 million residential, commercial, and industrial customers enrolled. This led to total energy savings of 1,154 GWh—more than what two natural gas-fired power plants typically produce in a year. However, we need to expand these efforts and make them more cost-effective.

When first encountered DR, it was largely confined to large industrial sites. These were places that could afford to invest in on-site generators or curtail production during peak demand periods. For them, DR was a strategic decision—cutting energy use when prices were high and when the grid was under stress. But this approach was far from flexible, and it definitely wasn’t scalable for smaller operations. Today, AI-driven technologies are democratizing DR, allowing even small commercial buildings to participate - and often without the need for significant capital investment. Another issue with the DR of the past is that it was almost comically manual. In the past (and even in some cases today), facility managers had to run around their buildings, switching off lights, unplugging vending machines, and manually controlling thermostats whenever a DR event was triggered. It was a labour-intensive, inefficient process. 

AI-driven DR, on the other hand, allows for real-time, automated adjustments based on the predictive capabilities offered by the most advanced AI tools. You see, the true power of AI isn’t about replacing human decision-making, it’s about enhancing it, automating it, and making it more precise. Ultimately, with AI, DR saves money and allows for a larger group of end users to actively contribute to grid stability. It's not just about automation—location matters too. While residential DR programs are growing rapidly, most homes are in less congested areas of the grid. In contrast, commercial buildings are often in high-congestion zones, where relieving that congestion is costly. Additionally, commercial buildings consume significantly more energy per square foot than homes. This makes them far more effective in providing the grid flexibility where it's most needed. With AI-driven processes, grid operators get the trifecta: predictable volumes, delivered when and where they're needed most. In essence, targeting these high-impact areas with DR strategies is like finding money on the ground—especially as electricity costs are set to increase. By focusing on commercial buildings in congested areas, we can make significant strides in reducing the growth of energy costs and improving grid reliability. It makes sense from all angles. AI systems can modulate energy use across thousands of buildings without requiring any human intervention. The facility manager no longer has to sprint down hallways pulling plugs or flipping switches. Instead, AI can do the heavy lifting—optimizing energy consumption optimally and in real time while ensuring that the building operates efficiently and comfortably.  Beyond benefiting end-consumers, AI-driven demand response solutions can contribute to a more stable and efficient power systems overall. They excel in forecasting power demand and production, optimizing the maintenance and use of energy assets, and providing deeper insights into energy consumption patterns.  When integrated with or assembled as a virtual power plants (VPPs), these AI solutions can aggregate and manage decentralized energy resources, allowing them to become a sizeable single source, flexible power plant that can respond dynamically to grid needs at the scale of a natural gas power plant. This not only increases grid flexibility but also supports the integration of more renewable energy sources by smoothing out the intermittency associated with them without the natural gas emissions. This is because VPPs enable the coordination of diverse energy assets, allowing grid operators to respond more effectively to fluctuations in supply and demand, ultimately creating a more resilient and reliable power system. 

integrating AI into the electricity grid isn’t without its challenges. Policies are often slow to adapt to technological advancements. Current utility programs and regulations are predominantly designed around traditional, hardware-intensive solutions, like changing HVAC systems, support better insulation, installing energy-saving smart meters and thermostats. These solutions are familiar and well-understood, both by policymakers and the utilities that implement and encourage them. However, they’re costly, slow to deploy, and increasingly out of step with the needs of the rapidly evolving energy landscape and allocation of financial risks. demand response will become increasingly integral to our day to day lives and energy systems. As electricity costs rise, driven by increased demand, rapid electrification, and the need to integrate more renewables, AI-driven demand response offers a practical, effective, democratic way to manage these pressures. It’s low-hanging fruit of epic proportions, a resource that’s available today and desperately underutilized. beyond the immediate benefits, AI-driven demand response has the potential to create a virtuous cycle—both financially and environmentally. By providing the flexibility needed to increase renewable penetration, we reduce our reliance on fossil fuels, leading to a cleaner, more sustainable energy system. And as the grid becomes greener, the energy consumed by AI systems themselves becomes more sustainable. Meanwhile, participants - whether they’re large organizations, small businesses, or individual consumers—profit from their involvement, creating a more inclusive and financially rewarding energy ecosystem. 

Sep 16

6 min read

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