Intelligence and Data Archives - Energeia https://energeia-usa.com/tag/intelligence-and-data/ Pioneering the future of energy Tue, 01 Jul 2025 18:35:41 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.3 https://energeia-usa.com/wp-content/uploads/2023/08/cropped-Energeia-logo-white-space-added-32x32.png Intelligence and Data Archives - Energeia https://energeia-usa.com/tag/intelligence-and-data/ 32 32 Moreno Valley Integrated Resource Plan (IRP) https://energeia-usa.com/moreno-valley-irp/ Thu, 22 May 2025 01:11:29 +0000 https://energeia-usa.com/?p=5601 Energeia was engaged by Moreno Valley Utility (MVU) to develop their 2023-25 Integrated Resource Plan (IRP). As part of this process, Energeia will be analyzing current and future load and load modifier profiles as well as generation and BTM resource profiles.

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Moreno Valley Integrated Resource Plan (IRP)

Energeia was engaged by Moreno Valley Utility (MVU) to develop their 2023-25 Integrated Resource Plan (IRP). As part of this process, Energeia will be analyzing current and future load and load modifier profiles as well as generation and BTM resource profiles.

Energeia was engaged by Moreno Valley Utility (MVU) to develop their 2023-25 Integrated Resource Plan (IRP). The IRP outlines Moreno Valley Utility’s long-term strategy for delivering reliable, affordable, and sustainable electricity to their community.

It serves as a roadmap for meeting future energy demands while aligning with state mandates, environmental goals, and the needs of this growing city. The 2025 IRP incorporates updated forecasts, technology assessments, and policy considerations to guide resource decisions through a balanced and forward-looking approach.

As part of this plan, MVU is prioritizing the integration of additional renewable energy resources, energy storage, and demand-side programs to reduce greenhouse gas emissions and enhance system resiliency.

Read the complete plan here.

For more information on Energeia’s research and analysis on fleet transport electrification, please contact us at insights@energeia-usa.com

For more information or to discuss your specific needs regarding Integrated Resource Plans, please request a meeting with our team.

For more detailed information regarding key challenges of truly integrated system planning, please see Energeia’s Charge Ahead webinars and associated materials.

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BESS Forecasting for an Array of Cities Nationwide https://energeia-usa.com/bess-forecasting/ Thu, 22 May 2025 00:40:03 +0000 https://energeia-usa.com/?p=5585 Energeia’s research and data engineering expertise proved essential in building a comprehensive custom database of utility grid infrastructure spatial data for each target market.

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BESS Forecasting for an Array of Cities Nationwide

Energeia’s research and data engineering expertise proved essential in building a comprehensive custom database of utility grid infrastructure spatial data for each target market.

Background

A Tier 1 Battery Energy Storage System (BESS) Supplier was accelerating the North American clean energy transition by providing an industry-leading BESS to couple with electric vehicle (EV) charging infrastructure. Their product aims to provide reliable, affordable electricity to customers by shifting grid energy consumption from peak periods to off-peak periods, reducing demand on the grid, and reducing customer energy bills.

PassKey’s customer-centric mission requires extensive research and analysis to ensure their BESS can not only provide energy and economic benefits to customers but also mesh with existing grid infrastructure to improve system resiliency.

Services

Turning to Energeia and our partners Black & Veatch (BV), our client required utility needs and distribution-connected BESS forecasting for a country-wide array of cities. Energeia’s research and data engineering expertise proved essential in building a comprehensive custom database of utility grid infrastructure spatial data for each target market. Using feeder-level GIS data and city land use data, Energeia spatially allocated electrical load to assets to forecast demand from 2022 to 2040.

Results

Using Energeia’s battery optimization models and forecasting tools, our client identified nine key U.S. markets for entry. Energeia’s models and tools produced both feeder-level 8760 load profiles and individual customer battery system ROIs for cities from San Francisco to New York in a first-of-its-kind study of this granularity.

Outcome

This Tier 1 BESS Supplier is now partnering with EV charging technology and SmartPower software to enter the EV charging market at airports across the U.S. and continues to leverage Energeia’s forecasting modeling tools to identify markets that will benefit from distribution-connected BESS. These innovative data systems and applications will accelerate the clean energy transition, help reduce emissions, improve grid resiliency, and provide customers with reliable, affordable energy.

For more information or to discuss your specific needs regarding PEVs or EVSE markets, request a meeting with our team.

For more detailed information regarding key challenges facing electrification and climate action, check out Energeia’s Power Session webinars.

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LADWP Develops an Integrated Human Resources Plan to Aid the LA100 Program https://energeia-usa.com/ladwp-develops-ihrp/ Thu, 22 May 2025 00:00:38 +0000 https://energeia-usa.com/?p=5560 Los Angeles Department of Water and Power (LADWP) gathered a team of leading industry experts, including Energeia, to develop an Integrated Human Resources Plan (IHRP) to realize this transition and prepare its workforce to efficiently and effectively deliver the LA100 program.

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LADWP Develops an Integrated Human Resources Plan to Aid the LA100 Program

Los Angeles Department of Water and Power (LADWP) gathered a team of leading industry experts, including Energeia, to develop an Integrated Human Resources Plan (IHRP) to realize this transition and prepare its workforce to efficiently and effectively deliver the LA100 program.

Background

The Los Angeles Department of Water and Power (LADWP) was transforming its electricity grid and resource systems in 2021 to meet decarbonization goals established by the State of California, the City of Los Angeles, and the company itself to deliver 100% clean energy by 2035. This venture requires a series of extensive upgrades and new builds along the transmission and distribution system, achievable only through the hiring, training, and retention of qualified personnel over the next decade.

LADWP gathered a team of leading industry experts, including Energeia, to develop an Integrated Human Resources Plan (IHRP) to realize this transition and prepare its workforce to efficiently and effectively deliver the LA100 program.

Services

Energeia, alongside our partners, AECOM and Grid Focus, was contracted to identify the personnel needs associated with long-term power system planning and implement a plan to ramp up the hiring and training of these personnel in accordance with LA100 goals.

To do so, Energeia conducted a thorough review and analysis of current staffing levels, vacancies, and projected needs within the eleven divisions within the Power System section of the organization. Energeia also engaged with senior personnel within each division to obtain LADWP’s qualitative and quantitative feedback on the IHRP process and projected staffing capacity.

Results

Energeia incorporated feedback and data from each Power System division to model annual personnel needs by division through 2032. Energeia reported these results for each of the eleven divisions under four different power system buildout scenarios while also accounting for current hiring and training constraints. Key findings included the identification of three roles that are severely constrained due to training capacity. The identified gap between new hires and projected needs is expected to grow without changes to the current training process.

The broader consulting team subsequently identified areas of improvement within the current hiring and training processes to deliver more qualified personnel, sooner.

Outcome

Phase 1 of the Integrated Human Resources Plan results were presented to the LADWP Board of Commissioners on Oct 25, 2022 (see timestamp 56:26), and discussions are currently being held regarding a revamping of the hiring and training processes in accordance with the consulting team’s recommendations. Energeia will continue to support LADWP throughout the iterative IHRP process as LADWP works to provide affordable, equitable, and reliable clean energy to all customers.

For more information or to discuss your specific needs regarding PEVs or EVSE markets, request a meeting with our team.

For more detailed information regarding key challenges facing electrification and climate action, check out Energeia’s Power Session webinars.

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Kenmore Electric Vehicle Infrastructure Plan (EVIP) https://energeia-usa.com/kenmore-evip/ Wed, 21 May 2025 22:05:32 +0000 https://energeia-usa.com/?p=5507 Energeia was engaged to conduct the technical modeling of electric vehicle (EV) adoption, charging energy needs, charger siting and grid integration for the City of Kenmore’s fleet electrification and EV infrastructure plan.

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Kenmore Electric Vehicle Infrastructure Plan (EVIP)

Energeia was engaged to conduct the technical modeling of electric vehicle (EV) adoption, charging energy needs, charger siting and grid integration for the City of Kenmore’s fleet electrification and EV infrastructure plan.

The City of Kenmore engaged Accenture and Energeia to develop the Electric Vehicle Infrastructure Plan (EVIP) to support the City’s transition to clean, sustainable transportation by developing a robust, accessible, and future-ready electric vehicle (EV) charging network. 

This initiative aligns with local and regional climate action goals and aims to reduce greenhouse gas emissions while preparing the city for the projected growth in EV adoption.  conduct the technical modeling of EV adoption, charging energy needs, charger siting and grid integration for the City of Kenmore’s fleet electrification and EV infrastructure plan. This plan aims to strategically place EV chargers across the city, focusing on high-traffic areas and potential partnerships with local businesses. In partnership with Accenture, Energeia developed a Washington-specific transport electrification toolchain to estimate charging needs for the city including optimized, least-cost charging infrastructure recommendations. 

The EVIP outlines a strategic framework to: 

  • Assess the current state of EV charging infrastructure in Kenmore
  • Identify key locations for new charging stations to ensure equitable and convenient access
  • Align with state and regional initiatives, including Washington’s goal for 100% clean-powered new vehicle sales by 2035
  • Support the city’s Climate Action Plan and Comprehensive Plan by targeting a 95% reduction in heavy-duty vehicle emissions and achieving net-zero emissions by 2050
  • Position Kenmore to secure funding and guide both near-term actions and long-term planning for EV infrastructure

The full council meeting minutes can be found here, or read the abridged version of the EVIP presentation.

For more information on Energeia’s research and analysis on fleet transport electrification, please contact us at insights@energeia-usa.com

For more information or to discuss your specific needs regarding EV data forecasting and modeling, please request a meeting with our team.

For more detailed information regarding key challenges facing electric vehicle uptake, please see Energeia’s Charge Ahead webinars and associated materials.

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The Future of Data Center Electrical Grid Impacts https://energeia-usa.com/data-center-grid-impacts/ Mon, 27 Jan 2025 20:36:20 +0000 https://energeia-usa.com/?p=5245 The rapid expansion of data centers in the U.S. to support AI, cloud computing, and digitization is reshaping electricity demand and challenging grid planning. Energeia's research highlights the drivers of data center growth, their unique energy profiles, and strategies for efficient grid integration.

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The Future of Data Center Electrical Grid Impacts

The rapid expansion of data centers in the U.S. to support AI, cloud computing, and digitization is reshaping electricity demand and challenging grid planning. Energeia's research highlights the drivers of data center growth, their unique energy profiles, and strategies for efficient grid integration.

As new data center developments expand rapidly across the United States to accommodate growth in IT-intensive sectors like artificial intelligence (AI), cloud computing, and e-commerce, they are reshaping electricity demand and presenting new challenges for grid planning and distribution system integration. These sectors require power-intensive servers, data storage, cooling systems and more. Understanding the drivers behind data center load growth, the unique energy load profiles of data centers and their potential flexibility, and their integration with distribution systems is essential for utilities, policymakers, and industry leaders.

The following sections summarize Energeia’s latest research into data center load growth, including the factors driving their development, strategies for efficient integration into grid infrastructure, and opportunities for increasing load flexibility and energy efficiency. The following sections

Drivers of Data Center Growth

Generative AI, blockchain, social media, gaming, and virtual reality are among the top sectors driving data center growth, as listed in Table 1. Each sector presents unique energy demands, from the computational intensity of AI training to the consistent, baseline uptime required by e-commerce platforms. These sector-specific characteristics influence energy intensity, synchronicity, and the right strategies for least-cost integration with the grid. The following section dives into detail for a selection of key industries driving data center growth.

Table 1– Key Sectors Driving Data Center Growth

E-commerce, one of the oldest IT applications, has served as a foundational driver for cloud computing platforms like AWS. Initially growing in parallel with the U.S. economy until approximately 2010, the sector has since accelerated significantly. E-commerce exhibits notable load flexibility, due to factors such as inventory management, allowing for asynchronous operation. However, as transactions are continually digitized, Figure 1 suggests electricity demand in this sector could grow sevenfold over the next 10–20 years, assuming an 80% sales market saturation.

Figure 1 – US Retail & Wholesale vs. E-Commerce Sales

Whereas e-commerce shows significant, consistent growth potential up to reasonable market saturation, cryptocurrency mining is a volatile, energy-intensive activity subject to economic factors like market prices and hash rates. Figure 2 below shows a relationship between Bitcoin price and hash rates over time and implies a $0.14/kWh average mining revenue.

Figure 2 – Bitcoin Price vs. Hash Rate

Crypto mining operations across the US are geographically ; the largest mining operations are not necessarily located in regions offering favorable electricity rates or land costs[1].

Utilities face challenges in predicting energy demand due to the volatile nature of cryptocurrency markets and the sporadic nature of mining operations.

Artificial intelligence has grown exponentially in recent years as well, with model training consuming ten times the energy of typical cloud processes. Figure 3 shows OpenAI’s ChatGPT-4 consumes up to 7.2 GWh in its training processes.

Figure 3 – AI Training Energy Consumption by Model

Similarly, Figure 4 shows that an AI-powered Google Search uses as much as 25x the energy as a typical Google Search. As AI becomes embedded in more applications, its power and energy requirements are projected to rise significantly. Data centers supporting AI training and utilization will require advanced infrastructure to balance real-time processing needs with grid constraints. Key questions facing the industry include:

  1. How many more commercial AI models will be trained
  2. Which industries will apply AI to automate processes at scale?
Figure 4 – Energy Consumption by Query/Search Type

Forecasts for U.S. data center energy consumption in 2030 vary widely, ranging from 120 TWh to over 600 TWh by 2030, as shown in Figure 5. This lack of consensus highlights the uncertainty in estimating data center growth, driven by differing assumptions about efficiency improvements and sectoral expansion. Both top-down estimates based on historical growth rates and bottom-up forecast methods based on processor sales and power requirements have their limitations, further complicating grid system planning.

Figure 5 – US Data Center Consumption Forecast Comparison

The following section helps demystify the details of data center energy intensity, subloads, flexibility, energy efficiency options and more, providing insight into the tools required to develop a sound outlook for data center growth.

Data Center Subloads, Energy Efficiency, and Flexibility

In a typical data center today, more than 70% of energy is consumed by , servers, and storage, with power conversion and network hardware contributing to approximately 25% of load, while lighting typically accounts for less than 3%, as shown in Figure 6.

Figure 6 – Typical Data Center Consumption Mix by Source (PUE: 1.56)

Listen or click through at your own pace

Power Usage Effectiveness (PUE), a key metric for non-IT load efficiency, measures the ratio of total data center power usage to critical IT power, which includes servers, storage, and network hardware. While average PUEs fell substantially until 2013, progress has since plateaued. Industry leaders like NREL, Google, and Meta have achieved PUEs as low as 1.03 through innovations like liquid cooling, though the broader industry has yet to match these [2]

Figure 7 shows various outlooks for more efficient data centers relative to a base scenario of 100%, via both non-IT and processor efficiency improvements. It is critical to note that the specific processor and cooling technologies present in each data center, or even server rack, will directly impact its power requirement.

Figure 7 – Data Center Energy Efficiency Scenarios

An estimated data center load profile within the AI sector is shown in Figure 8, with varying levels of training, utilization, and load shifting. Flat, flexible load typically represents asynchronous processing, while synchronous processing drives profile shape.

The relatively flat profile below shows very little weather sensitivity in its cooling systems, and may only reflect critical IT loads. Other literature in data center subload analysis, such as Ghatikar et. al (), suggests data center load shapes include more weather sensitivity on daily and seasonal bases to maintain safe operational temperatures within these facilities[3].

Figure 8 – Estimated AI Data Center Average Hourly Load

Data on the actual amount of synchronous vs. asynchronous processing by IT-intensive sector is not widely available. Smart metering data analysis could provide key insight into the synchronicity of data center load requirements and the associated flexibility, providing utilities with a clearer view of data center load shapes and their coincidence with asset and system peak demands.

Data Center Siting and Sizing

Data centers come in a wide variety of types, categorized into four main groups, as shown in Table 2. The largest hyperscale facilities are typically developed by major companies like Google and Meta. While their total capacity can exceed 300 MW, these centers are usually constructed in modular blocks of around 25 MW over time. This phased development approach is similar to that of traditional industrial.

Table 2 – Overview of Data Center Types and Sizes

Key data center hot spots in the US include Northern Virginia, Phoenix, Dallas, Atlanta, and Silicon Valley, with average data centers in these areas requiring from 5 up to 14 MW per site. Land and electricity costs drive the fundamental economics of siting, as telecommunications speeds and user proximity can dictate the type and load shape of data centers. Edge data centers are optimized for higher levels of synchronicity than hyperscale centers, and can be located in different proximity to end users. Figure 9 below summarizes the key factors impacting data center siting.

Figure 9 – Drivers of Data Center Siting

Industry Levers for Least Cost Integration

Load serving entities face significant risk in integrating data centers at least cost in the coming years. The following Table 3 describes a series of key potential levers for utility system planners to best manage data center integration, from rate design to demand response programs, distributed renewable development and defining an entirely new customer class.

Table 3 – Key Industry Levers for Integrated Data Centers at Least Cost

Key Takeaways and Recommendations

Energeia’s key takeaways and recommendations for integrating data centers into distribution systems (derived from Energeia’s best practice research and innovative analysis) are summarized below.

Key Takeaways:

  • Growth in server intensive industries is uncertain, but the fundamentals suggest it has legs for at least the next 10 years
  • Growth will be uneven, focused on areas near to major population centers, fiber links, low real estate and electricity costs
  • New connections will vary in size, with the largest connections likely near to population centers (synchronous) or major fiber links with low-cost land and electricity (asynchronous) – the latter is for overflow only after load sharing
  • A significant portion of the load seems likely to reflect underlying economic and demographic patterns
  • There is still significant potential for energy efficiency to reduce consumption per compute/storge activity, with AC and standby power opportunities well

Key Recommendations:

  • Determine the nature of your utility’s likely share of IT intensive industry load, to allocate appropriate levels of effort:
    • How close are you to population or business centers?
    • How good is your fiber connectivity?
    • How low are your land and electricity prices?
  • How much spare capacity do you have the in medium voltage and sub-transmission networks in areas of low land prices, connected to the fiber optic backbone?
  • Consider opportunities for strategic planning and connection policies, e.g. like for renewable energy
  • Be proactive with cost reflective rates and associated demand response programs, best practice here does not yet exist

[1]Tracking electricity consumption from U.S. cryptocurrency mining operations (2024), Tracking electricity consumption from U.S. cryptocurrency mining operations – U.S. Energy Information Administration (EIA)

[2]High-Performance Computing Data Center, High-Performance Computing Data Center | Computational Science | NREL

[3]Demand Response and Open Automated Demand Response Opportunities for Data Centers (2010), Demand Response and Open Automated Demand Response Opportunities for Data Centers

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EDF Leads Grid Readiness for MHDV Electrification https://energeia-usa.com/edf-leads-grid-readiness-for-mhdv-electrification/ Sun, 12 Jan 2025 05:16:53 +0000 https://energeia-usa.com/?p=5205 The Environmental Defense Fund (EDF) engaged Energeia to analyze grid planning and investment strategies for medium- and heavy-duty vehicle (MHDV) electrification. The study identified cost-effective strategies for proactive grid investments, emphasizing managed charging and early utility-fleet operator engagement

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EDF Leads Grid Readiness for MHDV Electrification

The Environmental Defense Fund (EDF) engaged Energeia to analyze grid planning and investment strategies for medium- and heavy-duty vehicle (MHDV) electrification. The study identified cost-effective strategies for proactive grid investments, emphasizing managed charging and early utility-fleet operator engagement

Background

The electrification of medium- and heavy-duty vehicles (MHDVs) is a crucial step in achieving sustainability goals and reducing emissions. However, it poses significant challenges for the current grid infrastructure, which was not designed to handle the high-power charging demands of MHDVs, especially during peak periods or in areas with limited grid capacity. Addressing these challenges requires substantial upgrades to transmission and distribution networks, integration of renewable energy sources, and energy storage. Without these upgrades, the electrification transition risks grid instability, increased costs, and delays in meeting climate goals.

The Environmental Defense Fund (EDF), a leading nonprofit organization dedicated to tackling pressing environmental issues, recognized the need to address these challenges. EDF engaged Energeia as a part of a team to analyze grid planning and investment strategies for MHDV electrification. The study focused on determining the economic and technical feasibility of proactive grid investments, which anticipate future needs, compared to sequential investments that address load requirements as they arise. The analysis aimed to identify cost-effective strategies to meet rising EV demand while ensuring reliability and efficiency.

Services/Results

Energeia partnered with Black and Veatch to deliver this report. While there are several different potential proactive investment methods, Energeia’s analysis compared proactive investments in the form of substation voltage upgrades with sequential substation capacity upgrade methods, using case studies of Con Edison in New York and CenterPoint in Texas.

The findings revealed that proactive planning often delivers cost savings when load growth is significant and predictable. A mixed approach combining proactive and sequential strategies was deemed optimal for balancing cost and flexibility across varying circumstances. The study also highlighted the importance of managed charging, demonstrating that tools like time-of-use incentives and active controls can help mitigate peak demand, delay infrastructure upgrades, and lower costs.

Fleet electrification presents additional complexities, including the need to align EV adoption timelines and geospatial location with grid readiness planning so the grid can accommodate high energy demands for MHDV charging. Energeia emphasized the importance of early engagement between utilities and fleet operators to improve forecasting and streamline planning to enable efficient infrastructure development that mitigates the risk of stranded assets.

Outcome

The report, published by EDF on November 6, 2024 here, underscores the value of proactive planning in reducing costs and enhancing grid readiness for MHDVs. Energeia is proud to have supported EDF in advancing its mission to address climate change and promote clean energy. The study provides actionable insights for utilities and stakeholders, contributing to a sustainable, cost-effective future in transportation electrification.

Read about the full Proactive Grid Investment Assessment report here.

For more information or to discuss your specific needs regarding PEVs or EVSE markets, request a meeting with our team.

For more detailed information regarding key challenges facing electrification and climate action, check out Energeia’s Power Session webinars.

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Roseville Enhances Grid Resilience with PEV Programs https://energeia-usa.com/roseville-grid-resilience/ Sun, 12 Jan 2025 04:50:17 +0000 https://energeia-usa.com/?p=5189 Energeia conducted an assessment of the existing conditions in the Plug-in Electric Vehicle (PEV) and Electric Vehicle Supply Equipment (EVSE) markets

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Roseville Enhances Grid Resilience with PEV Programs

Energeia conducted an assessment of the existing conditions in the Plug-in Electric Vehicle (PEV) and Electric Vehicle Supply Equipment (EVSE) markets

Background

With the growing demand and usage of Plug-in Electric Vehicles (PEVs), electric utilities are facing important considerations regarding grid reliability and power supply.

California is at the forefront of developing electrification programs and setting emissions reduction targets, including Executive Order N-79-20, requiring all new passenger vehicles sold to be zero emission by 2035, and all medium- to heavy-duty vehicles sold to be zero emission by 2045. As a result, various California utilities, including Roseville Electric Utility (REU), are actively developing PEV programs to incentivize electrification and managed charging to support the grid. Through these initiatives, REU not only commits to a more resilient grid system but also enhances access to electrification for its customers and ensures that challenges posed by PEVs to the system are carefully considered and addressed through advanced planning.

Service

Energeia conducted an assessment of the existing conditions in the Plug-in Electric Vehicle (PEV) and Electric Vehicle Supply Equipment (EVSE) markets, as well as anticipated changes in these markets in the coming years. This evaluation included factors such as vehicle model availability, driving range, and battery capacity for both light-duty and heavy-duty EVs, in order to forecast adoption by individual consumers and fleets. Energeia identified current and potential trends in PEV technology, adoption, and usage to project demand in REU’s service territory.

This project serves as an update to previous work conducted by AECOM and Energeia in 2018, which focused on PEV projections, technologies, and resources, including the required infrastructure for Direct Current Fast Chargers (DCFC) over the next decade. The earlier study also examined the impacts on Roseville’s electric grid and recommended implementation practices to minimize strain on the grid and mitigate emissions. The aim of the current study is to inform REU of changes in the transportation electrification landscape and update forecasts of PEV adoption and grid impacts in REU’s service territory. Energeia’s work equipped REU with the necessary information and capacity to offer sufficient and easily accessible charging infrastructure to Roseville residents.

Results

As part of this analysis, Energeia discovered that Level 3 –DCFC are increasingly accessible to the general public, along with the emergence of Vehicle to Grid (V2G) charging. Both advancements were projected to become standard in the future.

Energeia developed three bottom-up models for REU, including a PEV Uptake Model to forecast PEV adoption over time by vehicle type, an 8760 Model to forecast charging load by vehicle type and charging location, and a Grid Impacts Model to project the count of PEVs, peak load kWs, and V2G load by transformer over time. Energeia’s grid impact analysis determined that impacts are highest around DCFC locations, parking lots, and commercial and government depots due to vehicle concentrations and projected implementation of high-power DCFC charging solutions.

Outcome

The results of Energeia’s PEV Update Study have been presented to REU and recorded in a final report.

For more information or to discuss your specific needs regarding PEVs or EVSE markets, request a meeting with our team.

For more detailed information regarding key challenges facing electrification and climate action, check out Energeia’s Power Session webinars.

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Advanced Metering Infrastructure (AMI) Across the Philippines Being Rewritten https://energeia-usa.com/advanced-metering-infrastructure-usaid/ Sun, 12 Jan 2025 04:39:28 +0000 https://energeia-usa.com/?p=5180 Energeia is aiding the USAID and the Philippine government in the Energy Secure Philippines (ESP) project by providing research and expertise for Advanced Metering Infrastructure (AMI) regulation updates. This initiative aims to align the Philippines with international standards, ensuring a cost-effective and efficient transition to smart metering, enhancing energy security and resilience.

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Advanced Metering Infrastructure (AMI) Across the Philippines Being Rewritten

Energeia is aiding the USAID and the Philippine government in the Energy Secure Philippines (ESP) project by providing research and expertise for Advanced Metering Infrastructure (AMI) regulation updates. This initiative aims to align the Philippines with international standards, ensuring a cost-effective and efficient transition to smart metering, enhancing energy security and resilience.

Energeia is helping rewrite the for Advanced Metering Infrastructure (AMI) across the Philippines

Background

United States Agency for International Development (USAID) and the Philippine government are teaming up to deliver Energy Secure Philippines (ESP), a five-year project to develop an environmentally cleaner, more secure, and more resilient Philippine energy sector. A key initiative within the ESP program will be the deployment of an Advanced Metering Infrastructure (AMI). This technology will facilitate secure, resilient, and automated communication between utilities and their customers.

Service/Results

USAID contracted Energeia to provide bespoke research and subject matter expertise to support ongoing AMI regulation updates to align the Philippines with international industry standards and identify best practices. Up-to-date regulations informed by best practice research  support a cost-effective and efficient transition to a smart metering system.

Energeia evaluated over 80 international studies on AMI to identify industry trends in the deployment, regulation, and cost-effectiveness of widespread AMI rollouts. This best practice research found that rollouts using a maximize net benefits and more fairly allocate costs to benefits by allowing customers to gain early access for a fee. A ‘new and replacement’ strategy limits smart meter deployment to new buildings and end-of-life replacements, protecting utilities and customers from the sunk costs of replacing the previous generation of meters before their end-of-life.

In addition to this insight, Energeia found that successful deployment of AMI is also contingent on customer education, data security and privacy, organizational change management, and proactive benefits management.

Energeia also surveyed 144 Filipino distribution utilities to assess the current state of AMI readiness and identify key priorities and concerns. Most respondents reported that their smart grid plans are ongoing or not yet started, with nearly 75% of respondents reporting a planned AMI rollout within the next 5-10 years.

Outcome

Following the review of international best practices and survey outcomes, Energeia  recommended AMI regulation updates for the Philippines to align with industry standards and support a successful deployment of AMI across the country.

The updated regulations by the Philippine Energy Regulatory Commission (ERC) in April 2023 and are currently in the public consultation stage. Energeia is providing ongoing support to USAID and the ERC throughout this process until the updated AMI rules are fully in effect.

For more information or to discuss your specific needs regarding Advanced Metering Infrastructure, request a meeting with our team.

For more detailed information regarding key challenges facing electrification and climate action, check out Energeia’s Power Session webinars.

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Accelerate to Zero Collaborative to Propel San Diego to the Forefront of Transportation Electrification https://energeia-usa.com/accelerate-to-zero-sdge/ Wed, 08 Jan 2025 06:55:46 +0000 https://energeia-usa.com/?p=5171 Energeia supports the A2Z Collaborative in creating an EV Strategy to make San Diego a leader in transportation electrification. This initiative addresses air pollution and GHG emissions from gas-fueled vehicles, leveraging state momentum and local priorities to boost zero-emission vehicle adoption and infrastructure.

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Accelerate to Zero Collaborative to Propel San Diego to the Forefront of Transportation Electrification

Energeia supports the A2Z Collaborative in creating an EV Strategy to make San Diego a leader in transportation electrification. This initiative addresses air pollution and GHG emissions from gas-fueled vehicles, leveraging state momentum and local priorities to boost zero-emission vehicle adoption and infrastructure.

Energeia is helping the Accelerate to Zero Emissions (A2Z) Collaborative, formed in 2019, develop a roadmap to position the San Diego region as a national leader in transportation electrification through an EV Strategy document. The Collaborative involves San Diego Gas and Electric (SDG&E), the San Diego Association of Governments (SANDAG), the County of San Diego, San Diego Air Pollution Control District (SDAPCD), and the City of San Diego. 

Background

Gas-fueled internal combustion vehicles are the largest contributor to air pollution and greenhouse gas emissions (GHG) in the San Diego region and throughout the state of California. California has gained national recognition for its achievements in reducing emissions and promoting the adoption of zero-emission vehicles (ZEVs) through innovative state-level programs, policies, and legislative bills. The A2Z Collaborative stresses the importance of regional collaboration in order to leverage statewide momentum, attract necessary investments, and address specific local concerns and priorities. 

The EV Strategy builds upon the San Diego Regional Gap Analysis released in July 2021, which modeled ZEV trends and identified barriers to adoption.  

Services

Energeia completed a full review of existing conditions surrounding federal and statewide policies, regional plans and strategies, ZEV best practices and strategies published by other utilities and governments, and evaluating the 2021 Gap Analysis for its impact on developing A2Z strategies. 

Federal and statewide requirements and funding opportunities were brought into Energeia’s bottom-up EV Uptake Model, which found that the San Diego region is on track to achieve its share of state targets for ZEV adoption, but will still be 229,000 vehicles below the Gap Analysis target of 771,000 vehicles by 2030. Energeia collaborated with AECOM and the A2Z team to decide the key determinants for ZEV adoption that could be configured in the EV Uptake Model, and then modeled each of the High Impact Strategies that the Project Team developed to close the gap between current Baseline forecasts and the Gap Analysis Target.  

Results

Energeia’s modeling results show that applying the 10 final Strategies results in a 189,210 increase in cumulative ZEVs in 2035, as compared to the Baseline forecast. The final Strategies include increasing the percentage of zero-emission vehicle miles traveled (VMT), installing ZEV chargers equitably across rural areas and Communities of Concern, providing equitable and accessible opportunities to learn about ZEVs and ZEV infrastructure, providing ZEV workforce training opportunities, accelerating publicly accessible ZE infrastructure, lowering policy and financial adoption barriers, updating building codes and streamlining ZE infrastructure permitting, ensuring sufficient local grid capacity, encouraging fleet transition, and supporting innovative pilots to transition cars, trucks, and buses to zero emission. 

The most impactful strategies were found to be those that accelerate the deployment of public charging infrastructure, employ demand response and managed charging programs to control customers’ energy usage and take advantage of incentives, and develop optimized electricity rates for Level 2 chargers to allow customers to take advantage of lower rates during off-peak hours.  

Outcome

The A2Z Collaboration is in process of developing and finalizing the EV Strategy document, but draft strategies have been posted on the A2Z website.  

For more information or to discuss your specific needs regarding transportation electrification, request a meeting with our team.

For more detailed information regarding key challenges facing electrification and climate action, check out Energeia’s Power Session webinars.

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MD/HD Transport Electrification Investment Assessment https://energeia-usa.com/md-hd-transport-electrification-investment-assessment/ Fri, 15 Nov 2024 00:12:48 +0000 https://energeia-usa.com/?p=5138 The Environmental Defense Fund partnered with Black & Veatch and Energeia to identify the impacts of the anticipated increased electrification on the electric grid system.

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MD/HD Transport Electrification Investment Assessment

The Environmental Defense Fund partnered with Black & Veatch and Energeia to identify the impacts of the anticipated increased electrification on the electric grid system.

The Environmental Defense Fund (EDF) engaged Black & Veatch (BV) and Energeia to develop a model to support the evaluation of the potential utility costs and cost savings generated from 3+ optimized utility policies, programs, and plans by utilizing data from two major partner utilities (with customer bases of 2-5 million) to analyze proactive investment in grid upgrades and the associated impacts on MHDV transportation fleets and third-party rate payers.

Key highlights:
  • Advanced Clean Trucks (ACT) regulation: Pushing for zero-emission vehicle sales.
  • Proactive grid planning: Anticipating and supporting future load growth.
  • Long-term benefits: Cost savings and reliable infrastructure for EV fleet owners and utilities.

Visit the Project Summary to learn more about the Energeia services and tools utilized by EDF and BV to reach their critical insights, or read the full report here.

For more information on Energeia’s research and analysis on fleet transport electification, please contact us at insights@energeia-usa.com

For more information or to discuss your specific needs regarding EV data forecasting and modeling, please request a meeting with our team.

For more detailed information regarding key challenges facing electric vehicle uptake, please see Energeia’s Charge Ahead webinars and associated materials.

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