Material efficiency and global pathways towards 100% renewable energy systems – system dynamics findings on potentials and constraints
Abstract
Global climate mitigation requires a renewable energy transition. Due to interactions between energy demand and material use, improvements in material efficiency promise to contribute to climate mitigation. To analyse such potentials, system dynamics modelling was applied to test four different scenarios towards a 100% renewable energy world. The model findings show that a 100% renewable energy world with zero greenhouse gas emissions seems feasible. However, the chosen pathway matters. While material efficiency reduces emissions and increases availability of secondary raw materials for renewable energy generation, only absolute reductions in energy demand through sufficiency-oriented lifestyles and sustainable choices in food, housing, and mobility seem able to achieve emission reductions needed to stay within 1.5-degree warming. Here, international policies are needed to create globally equitable opportunities for decent lifestyles in a safe and just planetary space.
On a global level, the extraction and processing of natural resources account for almost one-quarter of total greenhouse gas (GHG) emissions [1] and this share is expected to increase further by 2050 [1], [2]. Therefore, the material efficiency and circular economy approach, which aim to reduce the extraction and processing of virgin raw materials, show promising potential to contribute to climate mitigation. These interactions occur within the climate-resource nexus [3]). Such contributions encompass reducing GHG emissions and maintaining the availability of raw materials needed for low-carbon technologies for climate mitigation, e.g., renewable energy generation and electric mobility.
Material efficiency and circular economy approaches include designing for longevity and using less material; material substitution; waste reduction; and reuse, recovery, and recycling (e.g., [1], [2], [4]). Modelling studies indicate that applying such approaches could lead to global reductions in GHG emissions of about 15−20% by 2050 [5] or around 30% by 2060 [6].
GHG reduction potential arises from replacing carbon-intense with less (carbon-intense) materials – including substituting abiotic with biotic materials, primary with secondary materials, and heavier with lighter materials. As the greatest share of GHG emissions related to material production originates from the production of construction materials (approximately 40%), followed by the production of machinery and equipment and electronics, substitution plays a decisive role in the construction sector and the industry (e.g., [7], [8]). Using lightweight design and prioritising wood as a low-carbon material choice over steel and concrete in construction leads to relevant climate benefits (e.g., [7], [9]). According to Hertwich et al. (2019) [7], using timber instead of steel and concrete in construction can lead to avoided emissions ranging from 100−400 kg to more than one ton of CO2-eq per m3 timber. Furthermore, Gallego-Schmid et al. (2020) [9] found from a literature review that reuse, upcycling, and recycling promise substantial GHG emission reductions on product and functional unit levels, ranging from 30 to 50% for using recycled construction material to up to 99% at product level for material reuse based on the design for disassembly.
For the manufacturing of cars and electric and electronic equipment (EEE), Hertwich et al. (2019) [7] provide estimates of GHG emission saving potential from the lightweighting of cars, which can reduce their life cycle emissions by between 5% (for steel-based lightweighting) and 8% (for aluminium-based lightweighting). They also find that remanufacturing a diesel engine can save 69−90% of the embodied GHG emissions of producing a new diesel engine. Remanufacturing of EEE can lead to 50–80% GHG emission savings when excluding the use phase from calculations, in which longer-lived EEE can have lower energy efficiency performances than newer EEE [7]. Ellen MacArthur Foundation (2019) [2] shows that fostering product design changes that minimise waste generation and increasing reuse, remanufacturing and recycling rates could reduce global CO2 emissions from key industry materials (including steel, cement, aluminium, and plastics) by 3.7 billion tons CO2-eq or by 40% in 2050.
Hence, substituting virgin and carbon-intense raw materials with less carbon-intense material choices, secondary materials, and long-life products offers great potential for climate mitigation. However, this potential depends on the successful implementation of such approaches in different countries and thus also on capacities to overcome political, technological and socio-cultural barriers to implementation (see, e.g., [1], [3], [7]). Against this background, the present study uses qualitative and quantitative system dynamics modelling to identify and assess 'potentials' and bottlenecks of material efficiency and substitution approaches for reducing global GHG emissions. Different scenarios are run, presenting pathways toward a 100% renewable energy transition by 2050.
The results show that while a 100% renewable energy transition seems feasible globally, regarding needed raw materials out to 2100, both material efficiency and recycling are necessary to reduce the need for energy and increasingly expensive primary raw materials from low-grade reserves. Furthermore, increasing recycling reduces the need for increasingly expensive raw materials from low-grade reserves. Hence it can help mitigate economic constraints that hinder the renewable energy transition – and thus ease capacities to transition to 100% renewable energy. Regarding reductions in energy need and associated GHG emissions, substituting abiotic with biotic resources for material use appears more promising than increasing material efficiency. However, making such quantities of biotic resources available for material substitution requires, among other things, reducing animal product consumption and producing biomass in the areas hitherto not used for this purpose intensively (i.e., used extensively) or not at all. It is also required to reduce food waste to meet the needs of feeding a growing world population. Therefore, in addition to material efficiency and substitution, approaches that reduce overall energy and material needs, and associated GHG emissions, appear necessary. In this context, lifestyle changes towards reduced demand for energy, goods and services (i.e., sufficiency) emerge as relevant to achieving reductions compatible with maintaining global mean temperature increases within 1.5 degrees of warming.
Thus, this work puts the potential for material efficiency, material use of biotic resources, and sufficiency into perspective and looks at the magnitudes of capacities humanity needs for a global energy transition. Furthermore, this work examines global potential capacity constraints resulting from the dynamics of different pathways and the overlap of new net energy installations and repowering.
This section describes a set of quantitative models to assess the potential effects of the interconnections between climate mitigation and material efficiency. These interconnections were derived from first developing a qualitative model for the climate-resource-nexus.
To explore the climate-resource nexus, i.e., interlinkages between resource conservation and climate mitigation, a qualitative cause-and-effect model was first developed at a global scale − the Qualitative ICARE Model. The purpose of the model was to visualise nexus aspects collected from literature and expert interviews [3]. The quantitative models described in detail below are designed to explore a series of potentially relevant effects from this qualitative model:
Resource scarcity of critical materials could jeopardise the global transition towards renewable energy. Hence, fostering material substitution and material recycling is pivotal.
Greenhouse-gas-intensive materials like steel and concrete could be substituted by biotic materials that serve as a carbon sink.
A shift from depleting high-grade raw materials to low-grade raw materials could significantly increase material costs and thus imply economic obstacles for a transition towards renewables.
Increasing recycling could counteract rising material costs from depleting high-grade raw materials and trigger a shift of value creation away from raw material exporting countries. Countries with large anthropogenic stocks of material would be increasingly relied on.
The material efficiency of energy-intensive materials could decrease the need for energy and, thus, materials in a reinforcing feedback loop.
In terms of reduced demand for goods and services, sufficiency could lower the need for renewables because of the reinforcing feedback loops between energy and material needs. Fewer products imply less demand for energy for their production and processing, which implies less need for renewables and their resources, which in turn require less energy.
As the focus of this paper is to explore these effects quantitatively, three simulation models were developed:
The ICARE Energy Model with roughly 1,900 factors to explore the global transition toward renewable energy and its resource need.
The ICARE LULUCF (Land Use, Land-Use Change and Forestry) Model with more than 500 factors to explore the global potential for biotic resources for material and energy use.
The ICARE Game-Theoretical Model with less than 50 factors to explore the logic behind economic growth and the use of materials and its winners and losers.
The three models are based on system dynamics [10] using the software iMODELER (
Using system dynamics, one can explore non-linear developments resulting from the implementation of renewable energy projects. Therefore, it is also possible to estimate the need for resources and the accumulated depletion of raw materials, including the feedback loops between using materials and the need for energy already mentioned.
For a projection of demand, the World Energy Outlook (WEO) 2015 by the International Energy Agency (IEA) [13] provided narratives and data. From the WEO, we chose the New Policies Scenario with ambitious assumptions regarding energy efficiency performance of the sectors transportation, industry, and housing for our model. In this scenario, the WEO simply considers sufficiency to mean less demand for energy from every sector, i.e., less transportation, less production, less energy for housing, and less need for electricity.
While the WEO only projects to the year 2040, the energy demand value for 2040 was used to simulate out to the year 2050. After 2050, the energy demand was kept constant until 2100 to look ceteris paribus at the continued demand for resources from repowering renewables every 20 years (for wind energy) or every 25 years (for photovoltaics).
The model simulates monthly time steps, capturing variation between winter and summer for the different regions. However, it uses a lookup function to consider the daily variations of sunshine and wind. This enables simulating increasing demand for energy storage and expansion of the electricity grid to allow electricity transport from sunnier and windier parts to other regions. Since with the rising proportion of renewable energy, the peak production exceeds the local demand and energy would otherwise remain unused.
The model includes hydropower and biomass according to the WEO, plus offshore and onshore wind and photovoltaics (PV) as renewable energy. The model considers a world market for power-to-liquid/gas (P2L/G) for the storage and re-electrification of surpluses of renewable energy and the remaining demand for synthetic fuels (also as a feedstock for the chemical industry),
The model differentiates global regions according to the WEO, except that Europe is separated into Germany and the rest of Europe so that the model can be validated with other studies on Germany's path towards renewable energy, in particular the later mentioned RESCUE study [14]–[16].
The raw materials needed for renewable energy generation are differentiated at the aggregated level into precious metals, semi-precious metals, rare earth metals, industrial minerals, and non-ferrous non-precious metals. Specific materials like copper, silver, neodymium, iron, and aluminium are explicitly modelled. Other sectors' demand for those materials was added to the model based on a review of relevant literature (e.g., [17], [18]).
The potential substitution of greenhouse-gas-intensive steel, concrete and gypsum through biotic materials can be based on various assumptions. On a highly aggregated level, simple substitution of the same mass (i.e., million tons by million tons) was used to derive the proportion of energy need relative to the total need for the industry sector that most heavily relies on these materials. The assumption is based on the argument from the steel and concrete industry [19] that they are using lightweight construction materials. Although their lifespan for a single application might be longer, one could use wood in a cascade, i.e., sequentially (re)used for different purposes, from massive wood to different varieties of chipboard and cellulose.
The capacities to implement renewable energy (production of renewable energy technology components; transportation; installation of renewable energy technologies; land area for installation) are set to very high levels so that they do not act as constraints. That allows for a focus on the potential needs for raw materials. However, one can use the model with more precise estimates of actual capacities for different applications.
As outputs, the model assesses the need for resources, the depletion of known reserves, the associated CO2 emissions, and the economic effects on the different regions derived from energy production prices and regional value creation.
The ICARE Energy Model is quite comprehensive. It is highly aggregated to look at magnitudes and trends of developments but with robust quality. A greater level of detail would require more and significantly more complex assumptions, e.g. if the wood substitutes steel from windmills or aluminium from PV constructions.
The ICARE LULUCF Model assesses world regions according to the WEO using data from the Food and Agricultural Organization's (FAO) online database (
The model offers parameters to define future scenarios of afforestation or deforestation as well as increasing or decreasing shares of:
organic farming,
consumption of animal products,
food waste,
use of wood,
use of yields for non-food purposes,
sealing of land areas for settlements and infrastructure, and
cultivation of yet unused areas.
Wood and crops for material use, and at the end of a cascade, their end-of-life energy use are considered regarding their effect on carbon capturing: first substituting fossil resources and materials (steel and concrete) and later releasing the CO2 again. The substitution effect and the additional potential for biomass energy use are then transferred into the quantitative ICARE Energy Model.
To support the interpretation of the results from the ICARE Energy Model regarding winners and losers, the much smaller and very abstract ICARE Game-Theoretical Model looks at two fictional regions. One region is developing (called "elsewhere") and provides raw materials, while the other region is rich (called "here") and imports materials that support technology, including renewable ones for energy. Raw materials can deplete and be substituted by another material, possibly through recycling from anthropogenic stocks.
In both regions, there is economic activity through the production and consumption of material products and services, although the potential for consumption growth is greater in the developing region. Both regions also have jobs, purchasing power, and money creation. The latter takes place only in times of growth and is needed in the model because logically, without money creation, the simulation would reach an equilibrium.
The model runs one hundred abstract time steps. The units for the resources, wealth, purchasing power, etc., are also abstract index values used merely to explore the general logic of economic growth and its dependency on resources and value creation. The parameters to define and explore scenarios are the shift of value creation, recycling, material efficiency, productivity, sufficiency, financial investment activity, and material losses for both regions.
Using the qualitative model, we explored the mechanisms and interactions in the climate-resource-nexus based on literature review and expert interviews (see results published in [3]). Figure 1 shows how, starting from that, we developed three different, interlinked quantitative models to explore the global need for energy, the energy transition and its need for resources. The figure also shows how we added data from the ICARE LULUCF model on the potential of biotic resources and how we used these two models to run more than 15 scenarios. As an extra model, it shows the ICARE Game Theoretical Model that investigated economic effects and shifts in value creation via changes in abstract index values. Comprehensive model documentation is available upon request.
Overview and interplay of qualitative and quantitative ICARE models used for this study
With the ICARE Game-Theoretical Model, we used the Monte-Carlo simulation to find a combination of parameters that upholds material wealth in both regions without any economic collapses from sudden lack of materials, and loss of spending power, etc. A Monte-Carlo simulation was also used with the ICARE LULUCF Model. By trying different combinations of parameters, the model suggests optimal ways to feed the world, provide for non-food biotic resources, and capture as much GHG as possible. The ICARE Energy Model ran a series of concrete scenarios. These scenarios aimed at reaching the target of 100% renewable energy by exploring, among other things, the possible results of changes in material efficiency, biotic resources, and sufficiency. The scenarios also demonstrate pathways for achieving this either through constant or delayed increases in the intensity of renewable energy implementation, the proportions of PV and the degree of electrification also defining the demand for power-to-liquid or -gas (P2L/G), e.g., for synthetic fuels.
Four specific scenarios corresponding to the original study [21] are used to run the models (Table 1).
Scenario name* |
Brief scenario description |
Scenario S2: Base scenario |
The world will reach 100% renewables by 2050, with some regions like Africa, South America, or Eurasia starting this transition 5 years later. The net rate of annual renewable energy installations needed to reach the target is set at a high, constant (i.e., unchanging) level. The basis for the energy demand is the "New Policies" scenario from WEO (2015). This is further reduced in a sufficiency approach by 15% for all sectors, assuming maximised electrification of the sectors under the "GreenEe" scenario from the RESCUE study of the German Environment Agency1 [14]. Unlike the WEO, S2 assumes the highest degree of electrification of the transportation, industry, and housing sectors with as little use of synthetic fuels as possible. Wind and solar proportions are adapted accordingly to the different world regions. |
Scenario S5: Material efficiency scenario |
Based on scenario S2 and the WEO's Material Efficiency Scenario (MES), which assumes additional measures like further increased recycling rates for steel and aluminium, lifetime extension, and lightweight construction (also of concrete, see [7], [22]) compared to its New Policies Scenario. S5 overall could further reduce the demand for energy from the industry sector by an additional 9% (resulting in 17% reduction when combined with reasonable measures). |
Scenario S6: Material efficiency and sufficiency combined: |
Based on scenario S5 with a projected maximal material efficiency, which builds on scenario S2 that already assumes 15% sufficiency compared to the WEO scenario. Scenario S6 adds another 20% sufficiency, which could be considered realistic, assuming global lifestyle changes [11], [23], [24]. |
Scenario S8: Material substitution scenario |
Based on scenario S2, scenario S8 examines the potential of increased material and energy use of biotic raw materials. The potential for biotic resources was derived from the ICARE LULUCF Model along two sub-scenarios. Sub-scenario 1: a business-as-usual scenario for current land use against the background of growing population and proliferation of the diet of industrialised countries. Subscenario 2: a modified scenario which considered a halving of food waste, a halving of animal food consumption, conversion of some parts of only extensively used land into arable land and reforestation of 10% globally by 2100. The additional amount of biotic materials from more forest area is then used to substitute steel, concrete and gypsum, decreasing the energy demand from the industry sector. Following the cascading use principle, biotic materials also contribute to energy generation from biomass. |