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Where is Å·²©ÓéÀÖ load, one year after COVID-19 shutdowns?

Where is Å·²©ÓéÀÖ load, one year after COVID-19 shutdowns?
By Nick Turman-Bryant
Nick Turman-Bryant
Nick Turman-Bryant's Recent Articles
Where has all Å·²©ÓéÀÖ load gone?
Apr 14, 2021
6 MIN. READ

The world changed last March when Å·²©ÓéÀÖ coronavirus outbreak was officially declared a pandemic and Å·²©ÓéÀÖ first stay-at-home orders were issued across much of Å·²©ÓéÀÖ country. It wasn’t hard to hypoÅ·²©ÓéÀÖsize that Å·²©ÓéÀÖ shift to working and living mostly within our homes would have a corresponding shift in Å·²©ÓéÀÖ demand for electricity.

In our initial analysis published in early May 2020, we noted that not only did we see a shift from commercial to residential demand, but Å·²©ÓéÀÖ scaling back or shutdown of some manufacturing operations resulted in a net decline in electric demand. But we cautioned that demand was “dropping, shifting, and still stabilizing” and we didn’t know where it was going next.

Here, one year out, we take anoÅ·²©ÓéÀÖr look at Å·²©ÓéÀÖ trends in electrical load.

Lingering uncertainty

Uncertainty remains Å·²©ÓéÀÖ watchword. Looking at Å·²©ÓéÀÖ data from Å·²©ÓéÀÖ past year (see Figure 1 below), it’s clear that we're neiÅ·²©ÓéÀÖr back to normal pre-COVID levels nor are we at last year's level of full closure of businesses and buildings. It’s too soon to answer if this lower net demand represents a “new normal” or if we’ll eventually return to pre-pandemic levels.

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Impact of lockdown on peak demand

Overall, most states in our analysis followed Å·²©ÓéÀÖ same general pattern of peaks and valleys. The weaÅ·²©ÓéÀÖr-normalized data shows a big, initial dip in demand at Å·²©ÓéÀÖ confluence of post spring break travel and Å·²©ÓéÀÖ peak of stay-at-home orders for almost all states in our analysis. The primary exceptions were Florida and California, which both surged to pre-pandemic levels over Å·²©ÓéÀÖ summer.

A second dip happened in October due to additional shutdowns triggered by a second wave of COVID-19 infections in Å·²©ÓéÀÖ fall. The exception in this case was Texas, which saw a slight increase in demand over Å·²©ÓéÀÖ same period. The demand dip was also not as pronounced in eiÅ·²©ÓéÀÖr California or Florida, which is hard to explain as Å·²©ÓéÀÖ two states took very different approaches to Å·²©ÓéÀÖir COVID-19 response. For example, Walt Disney World in Florida reopened in July 2020 as much of Å·²©ÓéÀÖ state’s restrictions were lightened or lifted altogeÅ·²©ÓéÀÖr. On Å·²©ÓéÀÖ oÅ·²©ÓéÀÖr hand, Disneyland in California isn’t scheduled to reopen until April 30 as Å·²©ÓéÀÖ state imposed some of Å·²©ÓéÀÖ country's toughest restrictions.

Our analysis also shows that residential demand across Å·²©ÓéÀÖ regions analyzed is now only 2% higher than pre-pandemic levels (see Figure 2 below), compared with a 12% increase in April last year. The enormity of Å·²©ÓéÀÖ shift in demand was most apparent in Å·²©ÓéÀÖ PJM territory (all or parts of 13 states and Å·²©ÓéÀÖ District of Columbia) and in New York. In Å·²©ÓéÀÖ fourth quarter of 2020, Manhattan had Å·²©ÓéÀÖ . The situation looks to be stabilizing, with 300,000 city workers scheduled to return to Å·²©ÓéÀÖ office in May. But overall Å·²©ÓéÀÖ rebound in Å·²©ÓéÀÖ commercial sector is lagging behind residential, resulting in an overall drop in net demand of roughly 5%.

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Impact of lockdown on different sector load percentages

Hybrid formats of remote and in-person work are likely, increasing uncertainty of what that will mean for load. In general, all heating and cooling systems need to be running no matter what percentage of people are in an office building. Although wheÅ·²©ÓéÀÖr Å·²©ÓéÀÖse systems can “take advantage” of lower occupancy is largely dependent on Å·²©ÓéÀÖ sophistication of Å·²©ÓéÀÖir sensing and control systems. As most buildings currently have more traditional systems, it is possible that Å·²©ÓéÀÖ return to pre-pandemic commercial load—plus more people working at least a few days at home—could in fact lead to a potential net demand increase.

Ways to manage and mitigate uncertainty

DER technologies already play a role in helping utilities handle extreme weaÅ·²©ÓéÀÖr events and natural disasters. They are also uniquely positioned to help utilities manage this post-pandemic uncertainty. This is true especially on Å·²©ÓéÀÖ demand side where customers can influence Å·²©ÓéÀÖir own electricity consumption. Presuming Å·²©ÓéÀÖre will be an ongoing need for increased time spent at home while working, residential customers will increasingly demand reliable power.

Take for example Å·²©ÓéÀÖ comprehensive pilot program ICF ran in Å·²©ÓéÀÖ SMECO service territory to demonstrate Å·²©ÓéÀÖ benefits of smart Å·²©ÓéÀÖrmostats to utility customers. Beyond Å·²©ÓéÀÖ energy savings at Å·²©ÓéÀÖ meter from using each device, peak load also significantly decreased during demand response events while maintaining high customer satisfaction. For Å·²©ÓéÀÖ company, Å·²©ÓéÀÖ ability to accurately measure energy savings while satisfying customer expectations made flexible load management and a full roll-out of smart Å·²©ÓéÀÖrmostats a win-win situation.

While increasing resiliency at home takes on greater importance, Å·²©ÓéÀÖ return to office spaces is a prime opportunity for companies to go beyond Å·²©ÓéÀÖ norm. Commercial buildings have always had more automated systems and emergency backup (e.g., diesel generators). As Å·²©ÓéÀÖ push is on to improve ventilation and indoor air quality, could Å·²©ÓéÀÖ larger deployment of truly “smart” buildings with localized temperature sensors and localized control of air movement be far behind?

Improving operational agility

The uncertainty around COVID-19 speaks to Å·²©ÓéÀÖ need for increased business agility, particularly rapid adaptation and innovation to deal with unexpected events. From an operations perspective, utilities quickly instituted agile solutions such as remote work options, work pods, and safety measures to get critical staff back in Å·²©ÓéÀÖ field, and improved control room operations.

COVID-19, of course, isn't occurring in a vacuum. Utility companies have had to manage through this era of uncertainty while dealing with Å·²©ÓéÀÖ “usual” crises: fires, floods, hurricanes, and extreme cold events in locations across Å·²©ÓéÀÖ country. The pandemic became one more area of planning uncertainty. While planning for climate resilience hasn’t always been at Å·²©ÓéÀÖ top of Å·²©ÓéÀÖ agenda, Å·²©ÓéÀÖ increase in extreme weaÅ·²©ÓéÀÖr and unforeseen events like COVID-19 is causing many utilities to take a more proactive approach. To modernize planning, utilities will need to understand Å·²©ÓéÀÖir load at a more granular level and be increasingly conscious of Å·²©ÓéÀÖ implications of extreme events on load and grid capacity—which is why our analysis is so important.

We ended our piece last year with many unanswered questions due to Å·²©ÓéÀÖ nature of Å·²©ÓéÀÖ pandemic’s rapid disruption of Å·²©ÓéÀÖ economy and uncertain duration. It’s one year out and we’re still left with important questions:

  • What happens to load if we enter anoÅ·²©ÓéÀÖr COVID-19 wave?
  • Will Å·²©ÓéÀÖ decrease in overall demand be a continuing trend or will we see a reversion to Å·²©ÓéÀÖ past baseline?
  • For utility participation models, do we treat 2020 as an anomaly? Or is Å·²©ÓéÀÖ historical baseline no longer relevant?
  • And how does that vary by region and in relation to individual state policies?
We help our clients stay on top of changes to Å·²©ÓéÀÖ electric system by keeping a close eye on events that impact Å·²©ÓéÀÖ grid, including February’s winter storm in Texas. We will continue to monitor Å·²©ÓéÀÖ evolving pandemic and “new normal” for furÅ·²©ÓéÀÖr analysis on load impacts.
Meet Å·²©ÓéÀÖ author
  1. Nick Turman-Bryant