August 2015

“This is a book about us,” begins Stephen Emmott’s 10 Billion. “It’s a book about you, your children, your parents, your friends.(…)It’s about the unprecedented planetary emergency we’ve created. It’s about the future of us.” This future, as Emmott describes it, will largely involve mass environmental destruction, rapid climate change, biodiversity loss, shortages of food and water, starvation, migration, rioting, and death. To call Emmott’s work a bleak book would be an understatement. Instead, it might be better described as the literary equivalent of being smacked in the face by the apocalypse.

10 Billion is a slim volume, made slimmer by the fact that many pages contain but a single sentence; the largest block of text spans about four paragraphs. Emmott uses bullet points for clarity, and often repeats a point more than once. Plenty of visuals in the form of alarming upward-trending graphs and photographs of ecological disasters further break up the read. Though an academic—Emmott is head of Computational Science at Microsoft—this scientist’s anger is palpable. At one point he berates humanity for its stupidity and concludes his book by asserting, “I think we’re fucked.”

The crux of Emmott’s warning is as frightening as it is familiar: population growth combined with a consumer culture that overtaxes the earth’s resources will wreck our planet. While the industrial revolution and agricultural innovation worked to create a society that could produce more, its systems were poised for unsustainability. We are now ensnared, possibly permanently, in destructive feedback loops, particularly those related to our increased food demands, our addiction to fossil fuels, and the destabilizing of our environmental systems. The future is uncertain and there are no pleasant answers. Only one thing is certain: “Every which way you look at it, a planet of ten billion looks like a nightmare.”

Effective fixes to Emmott’s doomsday premonitions are seemingly nonexistent. Technological programs related to green energy, nuclear power, desalination, geoengineering, and a second green revolution are introduced only to be summarily dismissed a few sentences later. Apparently these innovations all either rely on science that doesn’t exist yet, or are liable to cause other, bigger problems, or else necessitate long-term, wide-spread development unfeasible in current society. The only possible solution is to consume less. Yet according to all available trends, we are unwilling to make such a sacrifice.

Now, before we all dig bunkers and stock up on canned food, it bears considering that while 10 Billion certainly addresses some very real problems, there are possibilities Emmott has not considered. In his analysis, he uses only the most dire projections and only includes data that reveals negative trends. He ignores countries with declining birthrates. He declares an imminent phosphate shortage to be fact rather than speculation. Moreover, he does not even consider the solution most dear to Divergent: smarter, more environmentally friendly manufacturing.

In 10 Billion, Emmott laments the immense and hidden costs of vehicle production. “Volkswagen, Ford, Toyota, and others keep telling us that you can buy a car from around $13,000,” he scoffs, revealing that such figures ignore “externalities,” including the cost of obtaining raw materials and shipping them to be processed and assembled. When these processes are considered, the cost of a car is “an absolute fortune.” Yet with the technology produced by Divergent many of these processes could be cut out.

Creating products that do not necessitate excessive back and forth shipping and require less material and energy to make allow consumers to leave a smaller carbon footprint without changing behavior. Not that we shouldn’t also endeavor to consume less.

This is a good book to read if you were feeling a bit too optimistic about the environment or just need another reason to support dematerialization.

Here at Divergent, we are all about decreasing the carbon footprint. However, in this complicated, globalized world it can be difficult to tell if a new product or manufacturing method truly reduces. In Making The Modern World, Vaclav Smil, esteemed academic and data scientist, thoroughly unpacks the distinction between relative, and absolute dematerialization. What truly helps us consume less? What only appears to do so?


By and large, we have made incredible strides in the last two hundred years in regards to material efficiency. As a result, it is possible for us to produce and consume products while using fewer resources per unit. The goods we consume are better, faster, lighter, stronger. They require fewer raw goods to produce, a fact that seemingly gives hope to those concerned with unsustainable consumption. Unfortunately, rising population growth combined with an increased standard of living means that this trend does not translate into diminished resource use. In fact, it often has the opposite effect. People simply buy more of the cheapened product. The dematerialization is relative, not absolute. Less is, in fact, more. Further the complicated nature of the modern manufacturing process (from resource production to globalization) makes it hard to suss out real reduction.

Though the more casual reader may be daunted by the wealth of information, the nuances of the work are well worth the struggle. Uninterested in fear-mongering generalizations, Smil lends credibility to his conclusions. Readers are informed not only of what studies are used, but also of the methods used to gather data as well as of the existence of contradictory information. Numbers abound. He is sometimes ridiculously thorough. Before Smil can even presume to critique modern consumption, he must lay out what resources he will talk about and why, and also chronicle all of human economic history.

As Smil dives into the intricacies of consumerism, it becomes clear just how complicated (and often counterintuitive) the process of production can be. Energy costs, abundance, and life-cycle analysis must be considered. For instance, creating polyester requires more energy than harvesting cotton, but the cloth is easier to manufacture, and deteriorates less quickly; thus, polyester ends up with the advantage. Some materials are easy to produce, but carry hidden, long-term costs. Used extensively post-1990, concrete deteriorates quickly, meaning that we will face an unprecedented burden post-2030, when concrete structures begin to fail. Meanwhile, plastic refuses to break down. Recycling can be hugely effective, particularly for some materials such as aluminum, but is not as widely implemented as it should be. Therefore, before we condemn or laud any one product as contributing (or not) to dematerialization, we must consider all related factors.

Meanwhile, globalization creates some confusing trends that seem at first to suggest less consumption. Sadly, it soon becomes clear that this apparent trend is merely a case of outsourcing. In the developed world, there has been a gradual decoupling of GDP with total material consumption. There has been some serious deindustrialization leading to this decline in energy intensity (aka the cost of converting energy into GDP). However, this fact becomes less impressive when we account for the energy needed to produce the growing mass of imports. While we may look like we are extracting fewer resources, we are simply letting someone else do the dirty work.

Finally, there are four manufacturing principles that do result in a reduction of material and energy cost, at least initially: 1) gradual improvements that do not involve new materials, 2) substitutions of constituent materials with lighter or more durable alternatives; 3) intensified recycling; 4) new devices that perform the desired functions using only a fraction of the mass. Indeed, we have used these principles to reduce the materials required for producing everything from beverage cans to jetliners, preventing truly unimaginable levels of environmental degradation. For example, in 2010, it took 20% of the energy needed in 1900 to make steel. Unfortunately, even following or trying to follow these principles rarely results in a global reduction.

First off, there are many instances where people believe they are reducing, but are merely substituting. For example, while some misguided souls may think they are being good citizens by going paperless, they are in fact using the same amount of resources because computers use more energy. Then there is the aforementioned case of relative materialism. Here, the product has been successfully dematerialized, but this effect is negated as more people flock to buy it. Making something for less typically leads to falling costs and more appealing products, increased availability and spikes in consumption. Additionally, while new products may weigh less, they often require higher energy inputs to make.

Let’s take a closer look at cars. Technological developments lead to an vastly improved power/mass ratio (there was a 93% reduction in the last 90 years) but this improvement was more than negated by increased rate of ownership, higher average power, and larger vehicles. In 1920, there were fewer than 8 cars per 100 people; in 2011, the number of cars ballooned to 80. Moreover, people began demanding bigger, faster cars, which they drove for longer distances, increasing fuel consumption, as well the cost of car depreciation and maintenance, not to mention the need for more road repairs. Today the average per capita mass of American vehicles is more than 30-fold compared to 1920. Additionally, cars are often produced overseas; factories in China assemble our gas guzzlers before shipping our products across the ocean.

So what does this mean for Divergent? After doing a life-cycle analysis, it turns out that a car like the Blade is one of the few examples of a product capable of causing aggregate dematerialization. Not only is it lighter and requires less energy to build (from the production of its raw materials to its subsequent environmental effects) but is also unlikely to cause a boom in consumption. Finally, it can be made locally so that when energy intensity declines, we can be sure that we are not simply outsourcing. Vaklov Smil might be proud—after all he himself points out that 3D printing is the most efficient way of creating a structure.

This is part one of a three-part series exploring the environmental lifecycle analysis completed by Divergent. It will get into some technical detail, but is intended for anyone who has an interest in total system environmental and health damages for manufacturing.

Before reading this section, please read our lifecycle analysis overview, which sets the context for the discussion here.


My name is Nick Hofmeister. I have a computer science degree from Northwestern and an MBA from MIT. I’ve worked in fairly diverse industries, starting at Microsoft, followed by Bain & Co., an algae biofuels company, and three biotech/software startups I’ve founded. Over the years, my teams and I have raised about $260 million for early stage companies. I started making environmental analyses about 7 years ago to demonstrate the lifecycle value of a fuel made directly from a photosynthetic plant.

Why do we care about lifecycle analyses?

Around 2 billion cars have been built over the last 115 years; twice that number will be built over the next 35-40 years (Emmott, Stephen, Ten Billion, p. 95, New York, New York: Random House, Second Edition, 2014). The environmental and health impacts will be enormous. The automotive industry has $9 trillion a year in revenue and employs 11 million people.  And that doesn’t include oil & gas, a $4 trillion industry employing another 1.3 million people. These giants greatly affect the world’s material flows and all the consequences thereof. Unfortunately, very little has changed in the manufacture and use of vehicles in the last 100 years – our cars are getting bigger, heavier, and often less efficient at using energy. At Divergent, we intend to change this trajectory.


There are many types of environmental analyses, and they vary in both scope and kind. For this discussion, we are focused on environmental lifecycle analyses. Lifecycle analysis follows the path of an object through a system for its full lifetime, looking at its environmental impact at each stage of life. Lifecycle analyses can be performed on cars, toasters, a strawberry, or even a human being.

The exact scope of a lifecycle analysis is one of the trickiest questions: which parts of the life cycle do you include, and which not? For the strawberry, do you include the cost of making its fertilizer, the cost of its transportation to the grocery store, the cost of its disposal (e.g., the green tops, the rotten berries), and the cost of its packaging? The total cost of environmental and health system damages varies widely depending on the scope.

The gold standard in vehicles – GREET

In vehicles, thankfully, the Argonne National Lab has set the gold standard through a model called GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model). The first use of GREET was in 1995, and it has been peer- and industry-reviewed very thoroughly in the intervening 20 years. The scope of this model is quite wide – it looks at both vehicle operation and manufacture (vehicle cycle) and fuel manufacture and use (fuel cycle). It is also quite deep, capturing emissions down to the extraction and manufacture of materials (e.g., aluminum, lithium), as described in the image below:


The Argonne GREET model was also used for the 2009 National Academy of Sciences report “Hidden Costs of Energy: Unpriced Consequences of Energy Production and Use”, mentioned in the introductory article of this series).

What is the scope of GREET?

This model is very detailed and robust. It contains more than 100 fuel production pathways, such as corn ethanol, gasoline from algae, and cellulosic ethanol from switchgrass. It contains more than 70 different vehicle types, from a standard gasoline car, to an electric car, to a lightweight compressed natural gas vehicle.

GREET also looks backward into the manufacture of a vehicle quite deeply. As an example, consider the chassis of a vehicle. In GREET, even the transmission system (i.e., gearbox) is broken down into 8 major material types, each of which is accounted for separately in the model:  steel, copper, cast iron, magnesium, wrought aluminum, cast aluminum, average plastic, and rubber.

This level of detail, both in breadth and in depth, is necessary to create an accurate picture of the emissions of the vehicle across both its manufacture and its operation.

Inputs and outputs

GREET is free and publicly available for download. It is also, essentially, open source: if you download the Excel version, you can change any variable in the system that you wish.


However, to reduce the complexity in the model and variations in the answers, there are a limited number of inputs that are commonly changed. These include:

  1. Vehicle type
  2. Fuel type
  3. Total weight
  4. Balance of materials

Vehicle type has options such as standard internal combustion gasoline vehicle, electric vehicle, and lightweight compressed natural gas vehicle. Fuel type is tied with vehicle type, but there are many variations for each vehicle type. For example, an electric vehicle can use only electricity, but that could be electricity from the U.S. National Grid or from a coal-heavy region like the Midwest. A gasoline vehicle can use fuel with 15% corn ethanol or 5% cellulosic ethanol.

Total weight is a high-level, summarized factor that greatly affects the outcome of the GREET model. A Tesla Model S weighs approximately 4,700 pounds: every foot traveled by that vehicle is a result of moving 4,700 pounds of material. And at least 4,700 pounds of material needed to be manufactured in order to make the car (in reality, due to wasted materials, it is much more than that). In contrast, the Divergent Blade is 1,400 pounds, which makes it easier to move and easier to manufacture from an environmental standpoint.


There is also a common set of outputs created by GREET, showing the emissions of a vehicle across both its fuel cycle and its vehicle cycle. These are calculated on an energy/mile or grams/mile basis, depending on the output. Here are the most common outputs:

  1. Total energy
  2. Fossil fuels
  3. Coal
  4. Natural gas
  5. Petroleum
  6. Water consumption
  7. CO2 (VOC, CO, CO2)
  8. CH4
  9. N2O
  10. Total greenhouse gases (GHG)
  11. Volatile organic compounds (VOC)
  12. CO
  13. NOx
  14. Particulate matter large (PM10)
  15. Particulate matter small (PM2.5)
  16. SOx
  17. Black carbon (BC)
  18. Organic carbon (OC)

If you look at the examples included in GREET, it’s worth noting that a gasoline car uses a fair amount of natural gas. Why? Natural gas is used to make electricity, and electricity is used to make the materials that comprise a gasoline car and is used for its assembly. An electric vehicle typically uses a fair amount of coal, since coal is a major factor in the U.S. electricity grid.

What’s next in this series?

In the next posting in this series, we’ll discuss AP2 (formerly known as APEEP), which translates the output of GREET into environmental and health system damages.