SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.[#item_full_content]
Fast cars. Millions of us love them. The idea transcends national borders, race, religion, politics. We embraced them for more than a century, beginning in the early 1900s with the stately Stutz Bearcat and Mercer Raceabout (known as “the Steinway of the automobile world”), to the sexy Pontiac GTOs and Ford Mustangs of the 1960s, and through to the ultimate luxury creations of the Lamborghini and Ferrari families.Fast cars. Millions of us love them. The idea transcends national borders, race, religion, politics. We embraced them for more than a century, beginning in the early 1900s with the stately Stutz Bearcat and Mercer Raceabout (known as “the Steinway of the automobile world”), to the sexy Pontiac GTOs and Ford Mustangs of the 1960s, and through to the ultimate luxury creations of the Lamborghini and Ferrari families.[#item_full_content]
Recent progress in robotics has brought us startlingly lifelike replicas of humans and animals.Recent progress in robotics has brought us startlingly lifelike replicas of humans and animals.[#item_full_content]
Energy Innovation partners with the independent nonprofit Aspen Global Change Institute (AGCI) to provide climate and energy research updates. The research synopsis below comes from AGCI Community Science Manager Elise Osenga. A full list of AGCI’s updates is available online at https://www.agci.org/solutions/quarterly-research-reviews.
California is currently living out the old adage, “It never rains but it pours.” Following years of severe drought across the western United States, atmospheric rivers began sweeping into the state last December, bringing intense rain and snowfall. Throughout the new year and into the following months, storms continued to slam both Northern and Southern California with intense precipitation.
This March, rainstorms caused flooding, mudslides, and a levee breach at low elevations. In California’s Sierra Nevada range, snowpack reached as much as 269 percent of “normal” in some locations by the end of February (compared to 1991-2020), with extreme snowfall collapsing structures and closing highways. Concern is also rising that this year’s deep snow could produce even more intense flooding as warmer spring temperatures create snowmelt runoff and precipitation switches from snow to rain at higher elevations.
This is a far cry from 2022, when California recorded its driest January, February, and March in over a century, and drought records were set across the western U.S. Similar trends are observable around the world. The European Alps have seen declining average annual snow cover since 1971—a trend unprecedented in the last 600 years. Multi-year droughts have also created challenges in South America (although heavy snows in July 2022 brought some relief to the Andes in Chile and Peru).
Snowpack is of utmost concern in mountain communities, where it affects everything from flower blooms to wildlife survival and from recreational economies to municipal and agricultural water supplies. As the impacts of climate change intensify, experts predict fundamental shifts in mountain hydrologic cycles, with consequences for snow-reliant people and ecosystems. Understanding what those alterations will look like is a complex challenge. California can serve as a case study to help connect the dots between rising temperatures and regional atmospheric patterns and to reconcile forecasts of a future that brings both more extreme droughts and more extreme floods.
Atmospheric rivers and megafloods in a high-risk future
One of the largest determinants of winter precipitation is the season’s pattern of atmospheric rivers. Corridors of air that contain high amounts of water vapor, atmospheric rivers flow from near the equator to higher latitudes, typically bringing high wind speeds and heavy rainfall or snow—especially when they encounter mountainous terrain.
Recent research from Huang et al. (2022) warns that climate change impacts to atmospheric rivers in the Pacific could combine with a warming-driven shift in precipitation falling as rain rather than snow to increase the likelihood of massive flooding in California. Running ARkStorm 2.0, a disaster scenario program for California, and using various future climate conditions, Huang et al. found that for each 1 degree Celsius increase in global atmospheric temperatures, California saw a rapid increase in the likelihood of a historic megaflood on par with California’s Great Flood of 1861-1862 (Figure 1).
Warmer temperatures and increased flood risk are linked by both the intensity of precipitation events and whether the precipitation falls as rain versus snow. Warmer air can hold more water vapor than cool air, and this study found that as the atmosphere warms, more atmospheric rivers will carry moisture loads that can generate extreme precipitation in the western U.S.—a finding supported by other studies, including Kirchmeier-Young and Zhang (2020), Michaelis et al. (2022), and Corringham et al. (2022).
Furthermore, flood risk associated with intense precipitation events may be regionally compounded by the impacts of warmer temperatures. Huang et al. found warming temperatures were associated with a greater proportion of the increased precipitation falling as rain rather than as snow. Under a high-emissions climate change trajectory, the probability of a megaflood on par with the Great Flood of 1861-1862 more than triples by 2060, marking a 600 percent increase in risk.
Reconciling a future that is both wetter and drier
How does a more flood-prone future square with studies that predict a drier future for California and elsewhere and the oft-discussed “aridification of the American West”? Again, atmospheric rivers and regional warming play a role.
Research from NASA indicates that although warmer air temperatures may contribute to wetter and more intense atmospheric rivers, the total number of atmospheric rivers bringing precipitation (of any quantity) to the western U.S. may decrease—meaning fewer significant, water-providing storms. When meteorological droughts (droughts caused by below average precipitation) do occur, they’re likely to be exacerbated by the warming climate, with impacts to both summer and winter hydrologic cycles.
So what will these changes mean for future snowpack? A recent study by Weider et al. (2022) projects snowpack volume could decline over the coming century across the Northern Hemisphere. This study assessed potential changes to seasonal snow cycles in multiple mountainous regions by using a set of 40 simulations from a global climate model to better understand the range of possibilities. Comparing projections for 2070-2099 to a 1950-1969 baseline, the researchers classified areas where greater than 3 cm of snow were present for more than three months at a time.
They found that warmer future climate scenarios were associated with thinner and less widespread snowpack by the year 2100, although changes to snowpack were not evenly distributed across the hemisphere. This decline in snowpack was in turn associated with a decrease in the number of days with freezing temperatures, leading to a shorter snow season. Additionally, Weider et al. found a shift in timing, with more runoff and peak streamflow earlier in the calendar year and a greater percentage of snow melt occurring before the peak snow water equivalent (SWE) for previous decades (Figure 2). These timing changes create challenges for water management.
Figure 2. These maps from Weider et al. (Figure. 4 in the paper) compare modeled changes in the amount of winter snow melt occurring before peak SWE (a proxy for date of peak snowpack) from 2000 to 2100 [snow melt fraction–left] and the point in the year at which 50 percent of annual streamflow has occurred [change center timing-right]. By 2100, a larger percentage of snow melt occurs earlier in winter, and runoff shifts to earlier in the year.
Looking ahead to 2100, a study by Rhoades et al. (2022) also projects declining snowpack within the American Cordillera, a series of mountain ranges across western North and South America that includes California’s Sierra Nevada. The study compared high-resolution models to identify events where SWE fell below the 30th percentile compared to average historical snowpack. Rhoades et al. found that parts of the Cordillera consistently fell into low- to no-snow values for the second half of this century, with the low-snowpack trend beginning to emerge as early as 2025. Similar to Weider et al.’s findings, changes to the Cordillera snowpack were tied in part to an increase in temperature, which translated into fewer days below freezing and a larger proportion of precipitation falling as rain rather than snow.
As noted by Weider et al., warming-driven shifts in quantity and timing of snowmelt create challenges for water managers, because when a larger proportion of runoff comes from rain instead of snow, timing of water supplies becomes less predictable. Additionally, there is much still to learn regarding broader cascading impacts across ecological and freshwater systems and how these relate to human systems (including food production, recreation, and water quality).
Preparing for the future
Collectively, these studies paint a picture of a future California marked by less snow on average than in historic periods, punctuated by episodic extreme precipitation events. The magnitude and pace of changes may be determined by emissions pathways, but multiple studies show that even under low-emissions scenarios, California and other locations dependent on snowpack for their water will face conditions for which historical records cannot provide a template.
As water supplies tied to snowpack are projected to become less predictable in quantity and timing, Rhoades et al. emphasize the increased importance of adaptive water storage infrastructure and innovative management approaches, particularly for regions that lack such infrastructure. Meanwhile, Huang et al.’s prediction of increased megastorms demonstrates a different kind of challenge for water infrastructure and building codes: preparedness for floods and extreme precipitation events. Proactive thinking and designing for both wetter and drier conditions may aid in planning for a future that differs from the past.
Wieder et al. emphasize the need to think beyond human infrastructure, noting that understanding feedbacks between ecological systems and snowpack will be essential to effective adaptation approaches for mountain communities. Rhoades et al. also emphasize the importance of developing “conceptual frameworks”—analytical approaches that identify connections between system variables.
Whether preparing for drought or excess water, findings from across all studies indicate that high-emissions scenarios will accelerate and exacerbate hydrologic changes. Rhoades et al. find that the rate of carbon emissions determines how soon low- to no-snow conditions emerge, while Huang et al. find that risk of extreme flooding increases with each degree of atmospheric warming, even when the climate has already warmed. Corringham et al. similarly find that impacts in the western U.S. differ by climate scenario: the ~$1 billion/year average spending on atmospheric river-related flood damage over the past 40 years doubles under an intermediate-emissions scenario (RCP4.5) but more than triples under a high-emissions scenario (RCP8.5). Consequently, the speed and scale of climate warming will play a significant role in determining recurrence of catastrophic events in the coming decades. Collectively, these studies indicate that successful climate mitigation activities carried out now can dramatically reduce the severity of future impacts from atmospheric rivers, floods, and droughts.
Featured research:
Carrer et al., “Recent Waning Snowpack in the Alps Is Unprecedented in the Last Six Centuries,” Nature Climate Change 13 (2023): 155-160, https://www.nature.com/articles/s41558-022-01575-3.
T.W. Corringham et al., “Climate Change Contributions to Future Atmospheric River Flood Damages in the Western United States,” Scientific Reports 12 (2022), https://www.nature.com/articles/s41598-022-15474-2.
Huang and D.L. Swain, “Climate Change Is Increasing the Risk of a California Megaflood,” Science Advances 8, no. 32 (2022), https://www.science.org/doi/full/10.1126/sciadv.abq0995.
M.C. Kirchmeier-Young and X. Zhang, “Human Influence Has Intensified Extreme Precipitation in North America,” PNAS 117, no. 24 (2020), pnas.org/doi/10.1073/pnas.1921628117.
A.C. Michaelis et al., “Atmospheric River Precipitation Enhanced by Climate Change: A Case Study of the Storm that Contributed to California’s Oroville Dam Crisis,” Earths Future 10, no. 3 (2022),https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021EF002537.
A.M. Rhoades et al., “Asymmetric Emergence of Low-to-No Snow in the Midlatitudes of the American Cordillera,” Nature Climate Change 12 (2022): 1151–1159, https://doi.org/10.1038/s41558-022-01518-y.
W.R. Weider et al., “Pervasive Alterations to Snow-Dominated Ecosystem Functions Under Climate Change,” PNAS 119, no. 30 (2022), https://www.pnas.org/doi/abs/10.1073/pnas.2202393119.
The post Atmospheric Rivers, Floods, And Drought: The Paradox Of California’s Wetter And Drier Climate Future appeared first on Energy Innovation: Policy and Technology.
As the impacts of climate change intensify, experts predict fundamental shifts in mountain hydrologic cycles, with consequences for snow-reliant people and ecosystems. California can serve as a case study to help connect the dots between rising temperatures and regional atmospheric patterns.
The post Atmospheric Rivers, Floods, And Drought: The Paradox Of California’s Wetter And Drier Climate Future appeared first on Energy Innovation: Policy and Technology.[#item_full_content]
Energy Innovation partners with the independent nonprofit Aspen Global Change Institute (AGCI) to provide climate and energy research updates. The research synopsis below comes from AGCI Program Director Emily Jack-Scott and AGCI Program Associate Devan Crane. A full list of AGCI’s updates covering recent climate change and clean energy pathways research is available online at https://www.agci.org/solutions/quarterly-research-reviews.
Recent research highlights how 65 percent of food system emissions come from the production, processing, transport, and consumption of just four emissions-intensive foods: beef, milk, rice, and corn (maize).
Faced with high food prices and continuous disruptions to supply chains, many households in the United States are appreciating afresh what it takes to grow, gather, and deliver the food they consume on a daily basis. But what the average consumer may not fully recognize is the extent to which their everyday food choices contribute to emissions of greenhouse gasses (GHGs). The food system as a whole accounts for a whopping 35 percent of global emissions, and consumer decisions like diet and shopping patterns greatly influence those emissions.
Emerging research is beginning to shed light on actions that consumers and producers can take to reduce food system impacts on the climate and move toward a “net-zero” system in which all emissions produced are offset by sequestration processes.
Emissions from farm to table to landfill
Emissions are generated at every stage of the food system, from the production of food on farms to transport and refrigeration to processing and packaging to consumer dietary choices and, ultimately, to food waste. Seventy percent of total food system emissions come from land-use change. For example, when a forest—which naturally absorbs and stores carbon dioxide as trees grow—is logged and converted to grazing or agricultural land, GHGs are released as trees decompose. Additional emissions result from tilling soils and applying fertilizers for agricultural production. The remaining food system emissions are attributable to other stages such as transport, packaging, and waste. With rising populations and growing appetites for emissions-intensive foods, emissions are projected to increase 50 percent by 2050 under business-as-usual conditions.
In a 2022 paper published in Nature Scientific Reports, Ciniro Costa, Jr., and colleagues highlight how 65 percent of food system emissions come from the production, processing, transport, and consumption of just four foodstuffs: beef, milk, rice, and corn (maize). By focusing on these emissions-intensive foods, the authors modeled 60 scenarios of interventions that could reduce emissions across the global food system. They found that a net-zero food system could be achieved through widespread adoption of system-wide efficiency improvements, shifts toward plant-forward diets, nature-based sequestration, and adoption of emerging technologies.
Most of the low-emissions interventions analyzed (70 percent) utilize existing know-how and technologies: reducing deforestation, better managing manure, improving feed and breeding (which can reduce methane emissions from livestock), reducing nitrogen fertilizer overuse and runoff, and adopting renewable energy and energy efficiency. Sequestration approaches such as agroforestry and low- or no-till agriculture also have significant co-benefits such as soil and water conservation. Greater adoption of low-emissions practices means less reliance on sequestration will be needed to achieve a net-zero emissions food system.
Emissions from food loss and waste
Reducing food loss and waste is an additional practice that Costa and colleagues emphasize. Food loss and waste alone account for 8-10 percent of all global GHG emissions (Ribbers et al., 2022), with approximately 1.3 billion tons of food perishing annually (Ouro-Salim and Guarieri, 2021). Food loss and food waste are often considered in tandem, but they are distinct issues. Food loss typically refers to loss of edible food before harvest or in the supply chain (e.g., due to inability to harvest all of a crop before it begins to rot, or poor refrigeration during transport). Food waste, by contrast, refers to loss of edible food due to consumer behavior, (e.g., over-ordering at a restaurant or poor planning that leads to groceries expiring and becoming inedible) (Kumar et al., 2022).
Notably, there are significant differences between high-income and low-income countries when it comes to food loss and waste. In high-income countries, food waste makes up 50 percent of overall losses, whereas food waste in low-income countries accounts for only 5 percent of overall losses (Kumar et al., 2022). In low-income countries, food loss is more of a problem and typically results from systemic challenges, such as lack of access to non-local markets, storage, transportation, refrigeration, and harvesting technology (Ouro-Salim and Guarieri, 2021). Reducing food waste in high-income countries is largely a voluntary act for the consumer, with very few waste-reduction enforcement policies in place (Stancu and Lähteenmäki, 2022).
Food waste can also vary by type of food, and high-nutrition foods like fresh produce are especially at risk of waste. Qin and Horvath found in their 2022 study published in Resources, Conservation & Recycling that in the U.S., household food waste can be the largest source of food loss emissions. In the case of cherries, for instance, extreme loss and waste nearly triple emissions: for every kilogram (2.2 lbs) of cherries consumed by a household, another kilogram is lost during production and transit, and a third kilogram is wasted post-purchase (see Figure 1).
Figure 1. “Sankey diagram for the production and food loss of one kilogram (2.2 pounds) of cherry consumption. Ec covers the life-cycle emissions for consumed food from production, packaging, transportation, and refrigeration in the truck, retail store, and consumer’s home. El covers the cradle-to-grave emissions from food loss.” Source: Qin and Horvath, 2022.
Reducing food loss and waste is one way households and individuals have the power to significantly reduce their climate impact, especially in high-income countries. So what holds us back? Why do so many U.S. consumers waste food, especially when it is increasingly expensive and in some instances sporadically available? And what other choices can consumers make to reduce emissions from the food they eat?
Psychology of reducing food waste
In a 2022 paper in Food Policy, co-authors Violeta Stancu and Liisa Lähteenmäki examined food-related behaviors that contribute to consumer food waste, including consumer self-identities, purchasing tendencies, and disgust sensitivity (how easily disgusted a person is by a food’s perceived edibility). They argue that a better understanding of these drivers can help inform more targeted policy and public awareness campaigns.
In a related paper in Global Environmental Change led by Daphne Ribbers, researchers investigated behavioral motivations akin to the consumer self-identities outlined by Stancu and Lähteenmäki. While the two concepts are similar, motivation “can be defined as the process that determines the … direction of behavior, and is generally understood as the reason why humans continue, or terminate a specific behavior” (Ribbers et al., 2023), whereas self-identities refer to “behaviors that are in line with … the label that people use to describe themselves” (Stancu and Lähteenmäki, 2022). Both studies examined the environmental, moral, financial, and social dimensions of these drivers of behavior.
Stancu and Lähteenmäki found that individuals with frugal and environmental self-identities and in older demographics were less likely to waste food, whereas individuals prone to impulse buying, with high disgust sensitivity, and with higher incomes were more likely to waste food. They also found that in-store marketing and retail stimuli can influence individuals to purchase more than was planned (impulse buying), leading to food waste. These factors point to an opportunity for awareness campaigns that can help consumers limit impulse buying and adopt mindful shopping behaviors. Retailers could also be held accountable to reduce food waste by using marketing strategies that don’t prey on impulsive tendencies.
Individuals who are more easily disgusted by perceived food imperfections were also found to be more wasteful. The perception that food was inedible was largely influenced by misunderstanding the common food-labeling system of “best-by” and “use-by” dates. “Best-by” dates relate to food quality, whereas “use-by” dates relate to food safety. Checking edibility by smell or taste when a food is past its labeling date, rather than automatically tossing food, could reduce food waste. Education campaigns focused on increasing food labeling knowledge could help lessen confusion and reduce food being thrown out prematurely.
Ribbers and colleagues found that consumers who waste less food were significantly motivated by environmental and moral factors: awareness of environmental impacts or feeling guilt about wasting food. Interestingly, financial and social motivations (frugality or the concern of appearing wasteful to others, respectively) were not significant motivations to avoid food waste. The authors caution that there may be instances in which financial motivations are significant and may be intertwined with environmental and moral motivations. As in Stancu and Lähteenmäki’s study, Ribbers found that older people typically waste less food.
Both papers also noted that future research should focus on behaviors and culturally specific motivations for more targeted solutions and policy.
Individual actions to reduce food emissions
In addition to reducing food waste, individual consumers have opportunities to limit their food emissions footprint by reducing superfluous packaging and by embracing dietary shifts.
Often consumers only consider the food waste they can physically see and touch, (e.g., scraping a plate into the trash at the end of a meal or forgetting a leftover box the restaurant packed up). In reality, consumers contribute to an entire waste cycle that stems from the energy and water used during production, harvest, material extraction, packaging creation, packaging, transportation, storage, consumption, and wastage/misuse (see figure 2). Consumers should also consider the end-of-life consequences of waste: pollution, millennia-long breakdown times, and overflowing landfills (Qin and Horvath, 2022).
Figure 2. Flow diagram of the food life cycle – encompassing an overview of the processes for inputs, opportunities for waste, and outputs. This cycle illuminates what may not be visible to the end consumer. Source: Qin and Horvath 2022.
For instance, use of plastic packaging has increased sharply in recent decades, from 2 million tons in 1950 to 381 million tons in 2015. Some packaging helps reduce waste by extending the shelf life of foods and protecting them during transport, but not all packaging has the same emissions. In a 2022 analysis in Resources, Conservation and Recycling, co-authors Mengqing Kan and Shelie Miller focused on the environmental impacts of plastic packaging across a food’s entire lifecycle as well as its annual consumption. The authors then compared the energy used over various foods’ life cycles to equivalent vehicle emissions to put the results into more familiar terms for non-scientists.
Figure 3. Translating the consumption impacts of certain food items into equivalent miles of vehicle travel allows individuals to put their own consumption habits in perspective with the typical daily activity of driving. The graph shows “break- even miles at which climate change of food packaging equals climate change of vehicle transportation.” Carbonated beverages being the biggest offender in the list of foods studied, shows that the equivalent impact of a one year’s consumption per capita is equal to 52.2 miles of GHG emissions (84 kilometers) which is nearly double of the daily average of 30 miles (48.3 kilometers) traveled by the US driver. Source: Kan and Miller 2022
Kan and Miller found that, based on average US per capita annual consumption rates, while emissions from food packaging are significant, for most products they pale in comparison to per capita emissions from other everyday activities like driving. Most of the food packaging in the study had annual per capita emissions equivalent to less than a day of driving (the average person in the U.S. drives 30 miles per day). Notable exceptions included carbonated beverages, crunchy chicken breast, certain types of milk, and bottled water. The authors also note significant co-benefits to limiting packaging, such as reducing the environmental impacts of extraction and disposal, especially for products disposed of improperly.
Dietary shifts are another significant way consumers can limit their personal food emissions. Virtually all scenarios that point to a net-zero food system rely on consumers shifting to a more plant-forward diet, especially in high-income countries. Demand for livestock products like beef and milk must be reduced by 10-25 percent to attain low-emissions or net-zero goals (Costa et al., 2022).
Livestock contribute to food system emissions through the food they consume and excrete, as well as the water and land needed for their production. In a 2022 paper published in the Proceedings of the National Academy of Sciences, Claudia Arndt and colleagues studied several ways to reduce methane gas emissions from livestock without reducing productivity by changing their diet formulations and grazing practices alongside breeding and genetic standards. Several combinations of mitigation strategies even increased animal production. The study found that adoption of any one of these strategies alone would not attain global emissions reduction goals by 2030, but adopting multiple effective strategies would achieve target reductions.
Reducing emissions at the livestock production stage is critical to overall reduction of food system-related GHG emissions. But ultimately, consumer demand for livestock products must be curbed to lower overall emissions. Development of new plant proteins is one way to shift consumer diets to meat alternatives and meal substitutions (Costa et al., 2022).
Beyond individual actions
While individual consumers have a great deal of agency to curb emissions by reducing food waste and packaging and choosing more plant-forward diets, governments and investors must also design policies and financial mechanisms to lessen emissions throughout the food system.
Circular economy practices can help redirect food from landfills by donating still-good foods for human and animal consumption or channeling inedible foods to composting, bio products, and sewage/wastewater treatment facilities (Ouro-Salim and Guarieri, 2021).
In their scenarios to achieve a net-zero emissions food system, Costa and colleagues found that while most low-emissions interventions were based on existing technologies, only about 50 percent would be cost effective at a price less than $100/ton of carbon dioxide. They lay out the following timeline of actions most likely to achieve net-zero emissions while increasing production of food for growing populations, favoring the most cost-effective interventions in the near future:
Figure 4. “Roadmap for food systems net zero emissions by 2050.” The roadmap shows how the culmination of various techniques can lead to a reduction of GHG emissions to a neutral or net-zero state by 2050. Source: Costa et al. 2022
Governance and finance mechanisms will be needed to reduce deforestation and emissions from high-emitting crops and livestock and promote sequestration at the scale required to reduce global food emissions. For strategies that are already cost effective, traditional bank loans should be explored. To promote practices that are less cost effective, public dollars can be strategically invested in private ventures to reduce initial risks of early adoption and scale up carbon markets. The authors also spotlight the need for long-term philanthropic and patient private capital investments in high-risk emerging technologies.
Featured Research
Costa Jr, C., Wollenberg, E., Benitez, M., Newman, R., Gardner, N. and Bellone, F., 2022. Roadmap for achieving net-zero emissions in global food systems by 2050. Scientific Reports, 12(1), p.15064.
Kan, M. and Miller, S.A., 2022. Environmental impacts of plastic packaging of food products. Resources, Conservation and Recycling, 180, p.106156.
Kumar, S., Srivastava, M.S.K., Mishra, A. and Gupta, A.K., Ethically–Minded Consumer Behavior: Understanding Ethical Behavior of Consumer towards Food Wastage.
Ouro‐Salim, O. and Guarnieri, P., 2022. Circular economy of food waste: A literature review. Environmental Quality Management, 32(2), pp.225-242.
Qin, Y. and Horvath, A., 2022. What contributes more to life-cycle greenhouse gas emissions of farm produce: Production, transportation, packaging, or food loss?. Resources, Conservation and Recycling, 176, p.105945.
Ribbers, D., Geuens, M., Pandelaere, M. and van Herpen, E., 2023. Development and validation of the motivation to avoid food waste scale. Global Environmental Change, 78, p.102626.
Stancu, V. and Lähteenmäki, L., 2022. Consumer-related antecedents of food provisioning behaviors that promote food waste. Food Policy, 108, p.102236.
The post Reducing Food System Emissions, One Bite At A Time appeared first on Energy Innovation: Policy and Technology.
The food system accounts for 35 percent of global emissions, but new research shows how consumers and producers can act to reduce food system impacts on the climate and move toward a net-zero system.
The post Reducing Food System Emissions, One Bite At A Time appeared first on Energy Innovation: Policy and Technology.[#item_full_content]
By Olivia Ashmoore
This week, Energy Innovation Policy & Technology LLC® and RMI published 48 state Energy Policy Simulator (EPS) models. The free, open-source, peer-reviewed, and nonpartisan EPS model empowers users to analyze the effects of hundreds of climate policies. EPS users can design policy packages that achieve net-zero greenhouse gas (GHG) emissions across the economy and pinpoint which policies are most effective at reducing emissions while creating economic and health benefits.
To illustrate how the EPS can inform state action, Energy Innovation® and RMI developed a five-policy scenario and modeled this policy package across six states. The six states have unique emissions profiles with Louisiana, Pennsylvania, and New Mexico having the largest industrial sectors, Minnesota and Michigan the largest transportation sectors, and Wisconsin the largest power sector. Our initial modeling highlights how just five policies, even in states with differing emissions profiles, can significantly cut emissions. Additionally, the five policies generate in-state jobs; our modeling shows that the six states analyzed could see between 13,000 and 118,000 new jobs in 2030. This analysis can help policymakers in any state, regardless of emissions profile, design and implement climate policy.
State EPS models can inform policy to close emissions reduction gaps
The United States government, as well as many state governments, have set ambitious targets to reduce GHG emissions and align with global efforts to solve climate change. While new Inflation Reduction Act investments will spur ample opportunities for transitioning to clean energy, additional state and federal policy action is needed to achieve U.S. climate goals. As states introduce policies to close the gap, policymakers, advocates, and researchers can drive state climate action using data-supported policy analysis.
With the release of the U.S. state EPS models, state policymakers now have detailed GHG emissions data at their fingertips. The state EPS models provide critical information–customized for each state–on forecasted emissions profiles, climate policy effectiveness, and economic impacts. The models provide results in real time, are free to use and modify, and are built using reputable, national data sources.
Energy Innovation® and RMI jointly built the 48 state-level EPS models* using publicly available state and federal data from sources such as the U.S. Bureau of Economic Analysis, U.S. Bureau of Labor Statistics, U.S. Energy Information Administration, the U.S. Environmental Protection Agency, and the National Renewable Energy Laboratory, among others. The models incorporate existing federal and state policy but do not yet incorporate the IRA. Only existing state laws and regulations as of January 2023 are included in the model. Proposed policies are not included, but the model can be used to assess the impacts of such proposals.
More information on our sources and methodology is available at https://docs.energypolicy.solutions/us-state-eps-methodology. The state EPS models are publicly available at https://energypolicy.solutions/us-states and can be run online and downloaded to run locally using free Vensim software.
Top five carbon-cutting policies bring the U.S. closer to meeting climate goals
Modeling the five-policy scenario by Energy Innovation® and RMI demonstrates how a small number of policies can effectively cut emissions, in states with quite different GHG sources. The five policies are: clean electricity standards, zero-emission vehicle standards, clean building equipment standards, industrial efficiency and emissions standards, and standards for methane detection, capture, and destruction. Together, these five policies constitute a bold policy plan to slash emissions across a state’s economy.
A Clean Electricity Standard requires retail electricity utilities to meet electricity sales with qualifying clean electricity sources, typically solar, wind, hydro, geothermal, and nuclear power. Many states already have clean electricity standards or renewable portfolio standards in place. In our scenario, we modeled an 80 percent clean energy by 2030 and 100 percent clean by 2035 requirement. In Pennsylvania, this policy accounted for the largest share of emissions reductions.
Zero-Emission Vehicle Standards require a share of newly sold vehicles to be zero-emission vehicles (ZEVs), usually battery electric vehicles. California recently enacted the Advanced Clean Cars II rule, which requires 100 percent light-duty passenger ZEV sales by 2035. Our modeled policy scenario aligns with California’s existing Advanced Clean Cars II rule and California’s Advanced Clean Trucks rule. In Wisconsin, this policy contributes 20 percent of total emissions reductions in the five-policy scenario in 2050.
Clean Building Equipment Standards require new building appliances shift from fossil fuel use in buildings to electricity. To address building sector emissions, newly installed building equipment should be fully electric, beginning with space heating and water heating in new construction, but eventually moving to all end uses in new and existing buildings. We modeled steadily increasing standards that require electric-only equipment in new and existing buildings by 2035. In Michigan, clean building equipment standards contribute 25 percent of total emissions reductions in the five-policy scenario in 2050.
Industrial Emissions Standards shift fossil fuel use to a mix of electricity and hydrogen for low-temperature and medium- to high-temperature heat processes. The modeling also assumes about a 5 percent reduction in fuel use relative to business-as-usual by 2030 with continued progress to 14 percent by 2050 with energy efficiency improvements that help comply with the emissions standard. In Louisiana, because the industrial sector accounts for most of the state’s emissions, industrial emissions standards account for greater emissions reductions than all the other policies combined.
Standards for Methane Emissions require methane leaks—primarily from fossil fuel extraction and transport, agriculture, and landfills—to be identified and captured. The five-policy scenario includes strong methane capture and destruction. The standards result in emissions reductions equal to capturing 100 percent of the potential methane mitigation by 2030 modeled by the EPA. In New Mexico, methane emissions standards contribute 24 percent of total emissions reductions in the five-policy scenario in 2050.
Economic Benefits
The five-policy scenario also yields gross domestic product (GDP) and job benefits for each of the six states. Our modeling shows that the six states analyzed could see between 13,000 and 118,000 new jobs and between 1 percent and 3 percent GDP growth in 2030.
Health Benefits
Policies to transition to clean energy technologies also deliver public health benefits by cutting harmful pollutants such as particulate matter 2.5, sulfur oxides, and nitrogen oxides. Our modeling shows that the six states analyzed could avoid between five and 300 premature deaths annually in 2030 and prevent between 90 and 3,800 asthma attacks and 400 and 20,000 lost workdays annually in 2030.
Conclusion
The state EPS models provide reputable, real-time modeling results and integrated analysis of economic and public health co-benefits. Modeling five policies in six states demonstrates how state EPS models can be used to design policy packages that effectively reduce emissions, create jobs, and improve health. As states develop climate action plans and evaluate how to achieve their GHG targets, the state EPS models are an indispensable tool. Policymakers and other stakeholders can reach out to Energy Innovation® and RMI for assistance by emailing policy@nullenergyinnovation.org.
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Energy Innovation Policy &Technology LLC® and RMI developed 48 state Energy Policy Simulator (EPS) models to help policymakers design impactful climate policies. To show how the EPS can inform decision-making, Energy Innovation® and RMI modeled a five-policy scenario across six states, finding five top policies that can dramatically cut state greenhouse gas emissions, grow state economies, and prevent thousands of asthma attacks.
The post Energy Innovation Policy & Technology® and RMI Launch 48 U.S. State EPS Models appeared first on Energy Innovation: Policy and Technology.[#item_full_content]
By Robbie Orvis
The free and open-source Energy Policy Simulator (EPS) computer model developed by Energy Innovation Policy & Technology LLCTM has become one of the most widely used tools to inform policymakers and regulators about which climate and energy policies will reduce greenhouse gas emissions most effectively, creating the largest economic and public health benefits.
With EPS models now used in 10 countries and 48 states across America, we’re often asked how the EPS works and what peer review it has undergone through its development.
The EPS is a System Dynamics computer model created in Vensim, a tool produced by Ventana Systems for the creation and simulation of System Dynamics models. The model is designed to be used with the free Vensim Model Reader, and directions on obtaining Vensim Model Reader and the EPS are available on the Download and Installation page. As an open-source modeling tool, users can access the model via the energypolicy.solutions website. To use advanced features or modify its input data, users may download the EPS and run it locally on their Mac or Windows PC. All of the input data is meticulously cited, publicly available, and freely accessible and editable, with results updated instantly.
The EPS allows users to model numerous policies that affect energy use and emissions including a renewable portfolio standard, fuel economy standards for vehicles, industry methane standards, incentives for clean energy technologies like we see in the Inflation Reduction Act, and accelerated R&D advancement of various technologies. These policies can be applied across every major sector of the economy including transportation, electricity supply, buildings, industry, agriculture, and land use. The EPS also includes smaller components like hydrogen supply, district heat, waste management, and geoengineering.
The model reports outputs at annual intervals and provides numerous outputs, including:
Emissions of 12 different pollutants including carbon dioxide, nitrogen oxides, sulfur oxides, and fine particulate matter, as well as carbon dioxide equivalent (CO2e) which measures the global warming potential of various pollutants.
Direct cash flow (cost or savings) impacts on government, non-energy industries, labor and consumers, and five energy-supplying industries.
Direct, indirect, and induced impacts on jobs, GDP, and employee compensation, as a whole or disaggregated into 36 economic categories.
Premature mortality and 10 other health-related outcomes avoided from reduced primary and secondary particulate pollution.
The composition and output of the electricity sector (e.g., capacity and generation from coal, natural gas, wind, solar, etc.).
Vehicle technology market shares and fleet composition including electric vehicles.
Energy use by fuel type from various energy-using technologies including specific types of vehicles and building components.
Breakdowns of how each policy within a policy package contributes to total abatement and the cost-effectiveness of each policy (e.g., wedge diagrams and cost curves).
Fuel imports and exports, and associated expenditures or revenues.
All methodologies underpinning the EPS have undergone extensive peer review as they were developed, and we continually seek input from outside experts to modify the methodologies to address any concerns that are raised. Components of the model have been reviewed by individuals from prestigious institutions including:
American Council for an Energy-Efficient Economy
Argonne National Laboratory
Lawrence Berkeley National Laboratory
Massachusetts Institute of Technology
National Renewable Energy Laboratory
RMI
Stanford University
Tufts University
University of Chicago
U.S. Environmental Protection Agency
World Resources Institute
National labs, universities, and partners who have peer reviewed the Energy Policy Simulator
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An overview of how the Energy Policy Simulator works and what peer review it undergoes during model development.
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Energy Innovation Policy & Technology LLC® partners with the independent nonprofit Aspen Global Change Institute (AGCI) to provide climate and energy research updates. The research synopsis below comes from AGCI’s Climate Science Fellows Tanya Petach and Emilio Mateo. A full list of AGCI’s updates covering recent climate change and clean energy pathways research is available online at https://www.agci.org/solutions/quarterly-research-reviews.
This year, as the Colorado River Basin enters its 23rd consecutive year of drought, water users across the Southwest are grappling with the consequences. As water managers, elected officials, municipal planners, farmers, and tribes all prepare for the high-stakes renegotiation of the Colorado River Compact, scientists are critically examining historical research on the river’s flow to ensure water users across the western United States and Mexico have the information they need to prepare for a future where drought is the norm.
Using Historic Records to Make Sense of the Colorado River’s Future
Connecting the Rocky Mountains to the Gulf of California, the Colorado River shepherds snowmelt from the high peaks in Colorado, Wyoming, and Utah some 1,400 miles across the arid deserts of New Mexico, Nevada, Arizona, California, and Mexico. Because more than 70 percent of the water in the Colorado River originates as snow, year-to-year flow varies in tandem with the Rocky Mountain snowpack. As a result, the Colorado River has oscillated between extremes; withering droughts and catastrophic floods are both peppered throughout the river’s paleorecord.
Using clues from environmental indicators like pollen records and tree-ring widths, paleoclimate conditions in the Colorado River Basin have been mapped as far back as 1 CE (Common Era). The data tell a clear story: extreme, persistent, and severe droughts have long characterized the Colorado River. After one notably severe drought struck the Colorado River Basin near the end of the 13th century, the Ancestral Puebloans, a group who had inhabited the Colorado Plateau for the prior millennium, migrated out of the area into the Rio Grande region.
Paleoclimate reconstructions of historic river flows aren’t a particularly new research technique. Ever since scientists developed the first tree-based paleorecord of Colorado River droughts in 1965, the looming threat of a severe Colorado River drought has concerned the water sector. In 1995, a team of scientists coordinated through the Powell Consortium studied the consequences of a hypothetical severe, sustained drought in the Colorado River Basin. Their research, published in the Journal of American Water Resources (JAWRA) and frequently referred to as the “SSD study,” has been a catalyst for water managers, policymakers, and water users in the decades since its publication.
The SSD study was, remarkably, published in a non-drought era. The two largest reservoirs on the river, Lake Powell and Lake Mead, were both filled to the brim, and annual snowpack hovered comfortably around average at the time of publication. Equally notable is the fact that the study focused not only on the hydrologic impacts of a hypothetical drought, but also on the social, economic, and environmental impacts that drought would have on the Southwest. The authors addressed creative, preventive institutional alternatives for coping with drought, even dipping a toe into near-taboo controversies in the Colorado River Basin, such as interstate water marketing.
The SSD study hinged upon paleoclimate records in the Colorado River Basin. It began with a tree-ring analysis to identify the most severe drought period on record in the Basin (in this analysis, a late 16th-century drought), which was then used as a template for a hypothetical drought scenario. The hypothetical drought’s intensity was increased by reordering the years of the 16th-century drought such that streamflow decreased sequentially for the first 16 years, followed by a period of higher flow until the river returned to conditions within the “normal” range.
The modeled fallout of this hypothetical drought was split between the Upper Basin (Colorado, Utah, Wyoming, New Mexico, and part of Arizona) and the Lower Basin (the rest of Arizona, Nevada, and California). The SSD predicted that Upper Basin states would experience heavy water cuts while Lower Basin states would see fewer impacts. Hydropower outputs from dams steadily decreased during the early years of the drought, with a marked drop in hydropower output in the middle of the drought after Lake Powell fell below minimum powerpool (the elevation at which water can no longer exit reservoirs through turbines and generate hydropower).
In the SSD scenario, Lake Powell reached an elevation too low for water to exit the reservoir from any outlet pipes—a phenomenon often referred to as deadpool—near the end of the theoretical drought, after which the modeled drought eventually ended, reservoirs re-equilibrated, and the Colorado River returned to normal operating conditions. The SSD asserts that “the simulations show that the Colorado River system would be remarkably resilient in the face of an exceptionally extreme, even unrealistic drought of the sort postulated in this study.”
Despite eventual recovery in the Colorado River Basin, years of deadpool conditions in major reservoirs and extreme water cuts to municipalities and agricultural uses wreaked havoc across the Southwest in the modeled SSD scenario. The authors published a suite of preventive recommendations for water managers in the Basin, suggesting alternative governance structures that could (1) reallocate water from low- to high-value uses during times of shortage, (2) manage reservoirs to minimize evaporative losses, and (3) maintain powerpool in reservoirs.
Just five years after the SSD was published, the Colorado River entered what would become known as the “millennium drought,” a 23-year (and counting) period of low flows, dwindling reservoir supplies, and changing hydrology across the Southwest. The current drought is not as severe as the one hypothesized in the SSD, but flows have averaged just 75 percent of total allocated water rights, and Lake Powell is barely above minimum powerpool elevations. Some of the predictions in the SSD have struck close to home (e.g., intense water use cuts, depleted reservoirs, hard trade-offs between environmental and economic water uses); others have not (yet) occurred.
Future Impacts in a Changing Climate
In 2022, the Colorado River science community reviewed the SSD and contextualized it within the millennium drought by publishing a suite of studies in a special issue for the same JAWRA journal (Frisvold et al., 2022). These studies reevaluate the SSD with more powerful computers, a deeper understanding of climate change, and two decades of hands-on drought experience.
The 2022 special issue is steeped in the context of climate change. Updated models presented in the special issue incorporate global climate models and tend to predict streamflow outcomes more accurately than previous models. Current streamflow projections published in the special issue indicate that flow will likely continue to decline in the face of climate change and increasing temperatures and that reservoir levels are unlikely to recover as quickly or to the full extent projected at the end of the SSD.
Average annual temperature for the southwest climate region, through which the Colorado River flows. Trends indicate that annual temperatures are increasing both in terms of extreme events (seven of the eight years on record in which annual temperature exceeded 54 degrees F have occurred since 2003) and average trends (see the 30-year distributions to the right). Figure from McCoy et al., 2022 (one of the many studies that make up the 2022 special issue)
Whereas the 1995 study characterized the drought scenario as “exceptionally extreme, even unrealistic,” many of the studies that make up the 2022 special issue do not investigate the possibility of a drought-free future scenario at all but assume that the millennium drought will continue in the near future. Despite these differences, the 2022 special issue mirrors the SSD as a dazzling example of scientists bridging the research-practice boundary. Across the board, the special issue presents scientific findings in parallel with calls for creativity and resilience in the face of a bleak outlook for the Colorado River Basin.
Projected streamflow declines presented in the special issue are paired with a suggestion to create systems to reallocate water across uses, not just between users in the same sector. A study on the shaky future of recreation on Lake Mead and Lake Powell highlights the need for lakeside communities to diversify economic interests beyond reservoir tourism. The threat of Lake Powell and Lake Mead dropping below deadpool poses significant challenges to the environment in and around the Colorado River, particularly fish and riparian habitats. Temperature swings and the possibility of entirely dry stretches of river lead ecologists to stress the importance of significantly reducing water use across the entire Colorado River Basin in order to increase reservoir storage.
Moreover, the 2022 special issue expands its investigation beyond the impacted water users highlighted in the SSD to include both tribes and Mexico. A dive into the economic impacts of decreased irrigation water on reservations, including the Navajo, Tohono O’odham, and Uintah and Ouray Nations, projects reduced hay yields and even greater decreases in cattle yields. Another study in the special issue investigates the successes and challenges of trans-boundary restoration efforts in the Colorado River Delta. While habitat restoration has been successful and a common goal for both the United States and Mexico, restored areas are small and rely on continued support and water delivery from a shrinking water supply.
Colorado River Delta as seen from space. Visible are both Isla Montague, the island created by the delta, and the Desierto de Altar, the desert on the right half of the image. The delta, once prized for its biodiversity, is struggling due to limited water supply. Recent restoration efforts have successfully begun restoring small areas, but these efforts require continued water supplies. Photo: Earth Observations Laboratory, Johnson Space Center.
The 2022 special issue provides an update on the SSD and an expansion of represented interests. Both publications paint a bleak picture of a drought-stricken U.S. Southwest, and given the reality of increased impacts from climate change, a respite feels unlikely. However, the Colorado River’s headwater snowpack is currently well above average in January 2023 (though that could change over the remainder of the winter) despite tentative projections this fall for a bleak snowpack. In the context of a multi-decade drought, one (potentially) good year’s snowpack won’t lift the basin out of water scarcity. But it may provide a short window for the Colorado River Basin to catch its breath and for the scientific community to join forces with water managers and users across the Southwest to implement creative, innovative solutions in the 11th hour of this wicked problem.
Works Cited:
Linda S. Cordell et al., “Mesa Verde Settlement History and Relocation: Climate Change, Social Networks, and Ancestral Pueblo Migration,” Kiva 72, no. 4 (2007): 379-405.
Ryan S. Crow et al., “Redefining the Age of the Lower Colorado River, Southwestern United States,” Geology 49, no. 9 (2021): 635-640.
H.C. Fritts, “Tree-Ring Evidence for Climatic Changes in Western North America,” Monthly Weather Review 93 (1965): 421-443.
Subhrendu Gangopadhyay et al., “Tree Rings Reveal Unmatched 2nd Century Drought in the Colorado River Basin,” Geophysical Research Letters 49, no. 11 (2022): e2022GL098781.
Eric Kuhn and John Fleck, Science Be Dammed: How Ignoring Inconvenient Science Drained the Colorado River (Tucson: University of Arizona Press, 2019).
Andrea J. Ray et al., “Climate Change in Colorado: A Synthesis to Support Water Resources Management and Adaptation,” Colorado Water Conservation Board Rep 52 (2008).
Connie A. Woodhouse, Stephen T. Gray, and David M. Meko, “Updated Streamflow Reconstructions for the Upper Colorado River Basin,” Water Resources Research 42, no. 5 (2006).
Mu Xiao and Dennis P. Lettenmaier, “Atmospheric Rivers and Snow Accumulation in the Upper Colorado River Basin,” Geophysical Research Letters 48, no. 16 (2021): e2021GL094265.
Featured Collections Cited:
George B. Frisvold et al., “Featured Collection: Severe Sustained Drought: Managing the Colorado River System in Times of Water Shortage 25 Years Later—Part I,” JAWRA Journal of the American Water Resources Association 58, no. 5 (2022): 597-784.
Robert A. Young et al., “Featured Collection: Severe Sustained Drought: Managing the Colorado River System in Times of Water Shortage,” JAWRA Journal of the American Water Resources Association 31, no. 5 (1995): 780-944.
The post Then And Now: Scientific Investigations Of Colorado River Drought A Quarter Century Apart appeared first on Energy Innovation: Policy and Technology.
As the Colorado River Compact is renegotiated, scientists are critically examining historical research on the river’s flow to ensure decision-makers across the western United States and Mexico have the information they need to prepare for a future where drought is the norm.
The post Then And Now: Scientific Investigations Of Colorado River Drought A Quarter Century Apart appeared first on Energy Innovation: Policy and Technology.[#item_full_content]
Coal Cost Crossover 3.0 Interactive Visual Feature
This visual interactive feature allows users to explore the major findings of the Coal Cost Crossover 3.0 report. Users can scroll to view a visual case study, interactive maps showing the specific locations of uneconomic coal plants and cheaper new solar or new wind resources, potential cost savings, and investment opportunities. Scroll the white box to view the feature.
The post Coal Cost Crossover 3.0 Interactive Visual Feature appeared first on Energy Innovation: Policy and Technology.
This visual interactive feature allows users to explore the major findings of the Coal Cost Crossover 3.0 report. Users can scroll to view a visual case study, interactive maps showing the specific locations of uneconomic coal plants and cheaper new solar or new wind resources, potential cost savings, and investment opportunities.
The post Coal Cost Crossover 3.0 Interactive Visual Feature appeared first on Energy Innovation: Policy and Technology.[#item_full_content]
Energy Innovation Policy and Technology LLC® is proud to announce that Sonia Aggarwal will become its new CEO, starting in late February.
©2019 Ed Ritger. All Rights Reserved, Image courtesy of Climate One/The Commonwealth Club SAN FRANCISCO
Sonia was a founding director of Energy Innovation more than a decade ago. She built Energy Innovation’s policy research, modeling, and analysis teams over eight years until she was appointed to serve in the Biden administration. Sonia has deep experience in energy modeling, analysis, and policy design in many of the world’s largest-emitting countries and regions. Her technical expertise is just as notable, with degrees in astronomy, physics, and engineering
Sonia’s new role will include leading the organization and working closely with partners and policymakers to design and implement the most effective climate and clean energy policies in key jurisdictions across North America, Asia, and Europe.
“I am thrilled to return home to Energy Innovation, with its sharply aimed work and matchless talent,” said Sonia Aggarwal. “Climate policy is at an inflection point, and we, alongside our partners, must capitalize on this moment-Energy Innovation is my ideal home for this challenge.”
Sonia’s career has consistently been marked by taking on complex challenges to increase climate ambition, and winning those challenges. Her most recent posting was in the Biden White House where she served as Special Assistant to the President for Climate Policy, Innovation, and Deployment. While there, Sonia helped to set the nation’s high level climate targets including the commitment to cut economy-wide greenhouse gases by 50-52 percent below 2005 levels in 2030. She advanced climate policy priorities in Congress and the federal government to help the U.S. cut emissions at the speed required by climate science while creating good jobs, cutting costs for families, strengthening and securing the economy, and pursuing environmental justice for all communities. She also co-chaired the Biden administration’s Climate Innovation Working Group, and focused federal initiatives to reinvigorate clean energy manufacturing across the country. This work, and that of her colleagues, is now enshrined in the Inflation Reduction Act and Bipartisan Infrastructure Law, as well as other important legislative, regulatory, innovation, and manufacturing advances.
Energy Innovation—and Sonia—are steadfastly committed to nonpartisan climate action with Democrats and Republicans at the federal, state, and local levels in the U.S., along with a broad range of policymakers across the world. The organization enthusiastically seeks opportunities to work with leaders who want to advance climate change solutions that work for people and their communities.
Hal Harvey will remain at Energy Innovation in the role of Founder where he will continue to lead aspects of our international work, counsel policymakers on emissions reduction strategies, build our energy security portfolio, and continue his life-long commitment to advancing ambitious climate policies that drive real-world impact.
“Those of you who know Sonia will instantly understand why we are so thrilled to have her rejoin Energy Innovation as our CEO,” said Hal Harvey. “She has the technical depth, the political insights, and a stunning real-world track record-all complemented by exceptional emotional intelligence. Please join me in welcoming her!”
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Energy Innovation Policy and Technology LLC® is proud to announce that Sonia Aggarwal will become its new CEO, starting in late February.
The post Sonia Aggarwal Returns To Energy Innovation As CEO appeared first on Energy Innovation: Policy and Technology.[#item_full_content]