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Resource use of wind farms in the German North Sea : the example of Alpha Ventus and Bard Offshore I
(2013)
The German government aims to obtain at least 40 percent of its electricity from renewable sources by 2030. One of the central steps to reach this target is the construction of deep sea offshore wind farms. The paper presents a material intensity analysis of the offshore wind farms "Alpha Ventus" and "Bard Offshore I" under consideration of the grid connection. An additional onshore scenario is considered for comparison. The results show that offshore wind farms have higher resource consumption than onshore farms. In general, and in respect to the resource use of other energy systems, both can be tagged as resource efficient.
The concept Material Input per Service Unit (MIPS) was developed 20 years ago as a measure for the overall natural resource use of products and services. The material intensity analysis is used to calculate the material footprint of any economic activities in production and consumption. Environmental assessment has developed extensive databases for life cycle inventories, which can additionally be adopted for material intensity analysis. Based on practical experience in measuring material footprints on the micro level, this paper presents the current state of research and methodology development: it shows the international discussions on the importance of accounting methodologies to measure progress in resource efficiency. The MIPS approach is presented and its micro level application for assessing value chains, supporting business management, and operationalizing sustainability strategies is discussed. Linkages to output-oriented Life Cycle Assessment as well as to Material Flow Analysis (MFA) at the macro level are pointed out. Finally we come to the conclusion that the MIPS approach provides relevant knowledge on resource and energy input at the micro level for fact-based decision-making in science, policy, business, and consumption.
Für die Umsetzung der Energiewende und speziell den Ausbau erneuerbarer Energien sind nicht nur energiewirtschaftliche oder Klimaschutz-Kriterien maßgeblich. Zu einer umfassenden Nachhaltigkeitsbewertung gehört unter anderem auch die Ressourcenbewertung. Hier ist unstrittig, dass die Gesamt-Ressourceninanspruchnahme eines Energiesystems generell erheblich niedriger ist, wenn dieses nicht auf fossilen, sondern auf erneuerbaren Energien basiert (und dabei nicht hauptsächlich auf Biomasse ausgerichtet ist). Bisher wurde jedoch insbesondere der Verbrauch und die langfristige Verfügbarkeit der mineralischen Rohstoffe, die in der Regel zur Herstellung von Energiewandlern und Infrastruktur benötigt werden, wenig untersucht.
Im Rahmen des Projekts KRESSE wurde daher erstmals analysiert, welche "kritischen" mineralischen Rohstoffe für die Herstellung von Technologien, die Strom, Wärme und Kraftstoffe aus erneuerbaren Energien erzeugen, bei einer zeitlichen Perspektive bis zum Jahr 2050 in Deutschland relevant sind. Die Einschätzung als "kritisch" umfasst dabei die langfristige Verfügbarkeit der identifizierten Rohstoffe, die Versorgungssituation, die Recyclingfähigkeit und die Umweltbedingungen der Förderung. Die Studie macht deutlich, dass die geologische Verfügbarkeit mineralischer Rohstoffe für den geplanten Ausbau der erneuerbaren Energien in Deutschland grundsätzlich keine limitierende Größe darstellt. Dabei kann jedoch möglicherweise nicht jede Technologievariante unbeschränkt zum Einsatz kommen.
The German government has set itself the target of reducing the country's GHG emissions by between 80 and 95% by 2050 compared to 1990 levels. Alongside energy efficiency, renewable energy sources are set to play the main role in this transition. However, the large-scale deployment of renewable energies is expected to cause increased demand for critical mineral resources. The aim of this article is therefore to determine whether the transformation of the German energy system by 2050 ("Energiewende") may possibly be restricted by a lack of critical minerals, focusing primarily on the power sector (generating, transporting and storing electricity from renewable sources). For the relevant technologies, we create roadmaps describing a number of conceivable quantitative market developments in Germany. Estimating the current and future specific material demand of the options selected and projecting them along a range of long-term energy scenarios allows us to assess potential medium- or long-term mineral resource restrictions. The main conclusion we draw is that the shift towards an energy system based on renewable sources that is currently being pursued is principally compatible with the geological availability and supply of mineral resources. In fact, we identified certain sub-technologies as being critical with regard to potential supply risks, owing to dependencies on a small number of supplier countries and competing uses. These sub-technologies are certain wind power plants requiring neodymium and dysprosium, thin-film CIGS photovoltaic cells using indium and selenium, and large-scale redox flow batteries using vanadium. However, non-critical alternatives to these technologies do indeed exist. The likelihood of supplies being restricted can be decreased further by cooperating even more closely with companies in the supplier countries and their governments, and by establishing greater resource efficiency and recyclability as key elements of technology development.
Im Rahmen des Forschungsprojektes wurde auf der Ebene von privaten Haushalten untersucht, in welchem Ausmaß eine Bedürfnisbefriedigung mit materiellen Gütern innerhalb der Randbedingungen von globaler Gerechtigkeit, einer nachhaltigen Rohstoffnutzung und einer umweltverträglichen Gesellschaft möglich ist. Zur Bestimmung des Rohstoffbedarfs langlebiger Haushaltsgüter wurden das methodische Konzept der Verfügungskorridore entwickelt und empirisch fundiert sowie global tragfähige Ausstattungen für verschiedene Haushalte prototypisch dargestellt. Das im Rahmen des Projekts entwickelte Webtool veranschaulicht wesentliche Ergebnisse des Forschungsvorhabens. Vor dem Hintergrund ihrer eigenen Haushaltsausstattungen wird den Nutzer/-innen des Webtools das Forschungsthema "Rohstoffverbrauch und Nachhaltigkeit" exemplarisch veranschaulicht, wodurch eine konkrete Reflexion des eigenen Konsumverhaltens ermöglicht wird.
The economic assessment of low-carbon energy options is the primary step towards the design of policy portfolios to foster the green energy economy. However, today these assessments often fall short of including important determinants of the overall cost-benefit balance of such options by not including indirect costs and benefits, even though these can be game-changing. This is often due to the lack of adequate methodologies.
The purpose of this paper is to provide a comprehensive account of the key methodological challenges to the assessment of the multiple impacts of energy options, and an initial menu of potential solutions to address these challenges.
The paper first provides evidence for the importance of the multiple impacts of energy actions in the assessment of low-carbon options.
The paper identifies a few key challenges to the evaluation of the co-impacts of low-carbon options and demonstrates that these are more complex for co-impacts than for the direct ones. Such challenges include several layers of additionality, high context dependency, and accounting for distributional effects.
The paper continues by identifying the key challenges to the aggregation of multiple impacts including the risks of overcounting while taking into account the multitude of interactions among the various co-impacts. The paper proposes an analytical framework that can help address these and frame a systematic assessment of the multiple impacts.
The European Horizon 2020-project COMBI ("Calculating and Operationalising the Multiple Benefits of Energy Efficiency in Europe") aims at estimating the energy and non-energy impacts that a realisation of the EU energy efficiency potential would have in the year 2030. The project goal is to cover the most important technical potentials identified for the EU27 by 2030 and to come up with consistent estimates for the most relevant impacts: air pollution (and its effects on human health, eco-systems/crops, buildings), social welfare (including disposable income, comfort, health and productivity), biotic and abiotic resources, the energy system and energy security and the macro economy (employment, economic growth and the public budget). This paper describes the overall project research design, envisaged methodologies, the most critical methodological challenges with such an ex-ante evaluation and with aggregating the multiple impacts. The project collects data for a set of 30 energy efficiency improvement actions grouped by energy services covering all sectors and EU countries. Based on this, multiple impacts will be quantified with separate methodological approaches, following methods used in the respective literature and developing them where necessary. The paper outlines the approaches taken by COMBI: socio-economic modelling for air pollution and social welfare, resource modelling for biotic/abiotic and economically unused resources, General Equilibrium modelling for long-run macroeconomic effects and other models for short-run effects, and the LEAP model for energy system modelling. Finally, impacts will be aggregated, where possible in monetary terms. Specific challenges of this step include double-counting issues, metrics, within and cross-country/regional variability of effects and context-specificity.
Energy efficiency improvements have numerous benefits/impacts additional to energy and greenhouse gas savings, as has been shown and analysed e.g. in the 2014 IEA Report on "Multiple Benefits of Energy Efficiency". This paper presents the Horizon 2020-project COMBI ("Calculating and Operationalising the Multiple Benefits of Energy Efficiency in Europe"), aiming at calculating the energy and non-energy impacts that a realisation of the EU energy efficiency potential would have in 2030. The project covers the most relevant technical energy efficiency improvement actions and estimates impacts of reduced air pollution (and its effects on human health, eco-systems/crops, buildings), improved social welfare (incl. disposable income, comfort, health, productivity), saved biotic and abiotic resources, and energy system, energy security, and the macroeconomy (employment, economic growth and public budget). This paper explains how the COMBI energy savings potential in the EU 2030 is being modelled and how multiple impacts are assessed. We outline main challenges with the quantification (choice of baseline scenario, additionality of savings and impacts, context dependency and distributional issues) as well as with the aggregation of impacts (e.g. interactions and overlaps) and how the project deals with them. As research is still ongoing, this paper only gives a first impression of the order of magnitude for additional multiple impacts of energy efficiency improvements may have in Europe, where this is available to date. The paper is intended to stimulate discussion and receive feedback from the academic community on quantification approaches followed by the project.
Die Sustainable Development Goals (SDGs) schlagen zur Indikation verantwortungsvoller Konsum- und Produktionsstrukturen bzw. zum nachhaltigen Management und der effizienten Nutzung natürlicher Ressourcen den Material Footprint pro Kopf vor. Zudem sollen SDG-Indikatoren prinzipiell in der Lage sein, zwischen verschiedenen Bevölkerungsgruppen (etwa nach Einkommen oder Alter) unterscheiden zu können. Wir stellen einen Indikator aus der Nachhaltigkeitsstrategie NRW zum Ressourcenverbrauch des privaten Konsums auf der Grundlage von Mikrodaten vor. Der größte Ressourcenverbrauch der privaten Haushalte in NRW bleibt Wohnung, Nahrungsmittel und Verkehr vorbehalten. Dabei ist zwischen 2003 und 2013 die größte Steigerung des Ressourcenverbrauchs in Post und Telekommunikation zu verzeichnen, wobei sich insgesamt der Ressourcenverbrauch leicht reduziert hat. Der Indikator zum Ressourcenverbrauch der privaten Haushalte erfüllt die Anforderungen an Indikatoren der Sustainable Development Goals sowie der Nachhaltigkeitsstrategie des Landes NRW. Gleichzeitig empfehlen wir eine weitere Disaggregierung des Material Footprints nicht nur nach Bevölkerungsgruppen, sondern auch in Gütergruppen auf der Basis von Lebenszyklusanalysen.
Mit der Nachhaltigkeitsanleihe NRW erschließt das Land das international wachsende Segment des nachhaltigen Investments für die Kreditfinanzierung des Landeshaushalts. Ziel der vorliegenden Studie ist es, die Bewertung positiver Nachhaltigkeitseffekte für die in 2016 emittierte Nachhaltigkeitsanleihe NRW zu erproben und Handlungsempfehlungen zur Bewertung zukünftiger Nachhaltigkeitsanleihen zu entwickeln. Für eine umfassende Nachhaltigkeitsanalyse ist aufgrund der Vielschichtigkeit der finanzierten Projekte und fehlender Standards zur Bewertung sozialer Kriterien eine umfangreiche Untersuchung erforderlich, wodurch sie für eine regelmäßige und standardisierte Wirkungsanalyse zukünftiger Anleihen nicht in Frage kommt. Stattdessen verfolgt die vorliegende Studie einen pragmatischen Ansatz zur Bewertung. Der Fokus liegt auf der Evaluation der potenziellen Treibhausgas-Minderung (THG-Minderung), da deren Bewertung sich derzeit als Standard für eine Wirkungsanalyse solcher Anleihen abzeichnet. Darüber hinaus werden die nächsten Schritte für eine Weiterentwicklung der Methodik und des Indikatorensets im Rahmen zukünftiger Wirkungsanalysen aufgezeigt.
The long-term transition towards a low-carbon transport sector is a key strategy in Europe. This includes the replacement of fossil fuels, modal shifts towards public transport as well as higher energy efficiency in the transport sector overall. While these energy savings are likely to reduce the direct greenhouse gas emissions of transport, they also require the production of new and different vehicles. This study analyses in detail whether final energy savings in the transport sector also induce savings for material resources from nature if the production of future vehicles is considered. The results for 28 member states in 2030 indicate that energy efficiency in the transport sector leads to lower carbon emissions as well as resource use savings. However, energy-efficient transport sectors can have a significant impact on the demand for metals in Europe. An additional annual demand for 28.4 Mt of metal ores was calculated from the personal transport sector in 2030 alone. The additional metal ores from semiprecious metals (e.g., copper) amount to 12.0 Mt, from precious metals (e.g., gold) to 9.1 Mt and from other metals (e.g., lithium) to 11.7 Mt, with small savings for ferrous metal ores (-4.6 Mt).
The paper describes patterns of resource use related to German households' equipment. Using cluster analysis and material flow accounting, data on socio-demographic characteristics, and expenditures on fuel, electricity and household equipment allow for a differentiation of seven different household types. The corresponding resource use, expressed in Material Footprint per person and year, is calculated based on cradle-to-gate material flows of average household goods and the related household energy use. Our results show that patterns of resource use are mainly driven by the use of fuel and electricity and the ownership of cars. The quantified Material Footprints correlate to social status and are also linked to city size, age and household size. Affluent, established and/or younger families living in rural areas typically show the highest amounts of durables and expenditures on non-durables, thus exhibiting the highest use of natural resources.
Measure or management? : Resource use indicators for policymakers based on microdata by households
(2018)
Sustainable Development Goal 12 (SDG 12) requires sustainable production and consumption. One indicator named in the SDG for resource use is the (national) material footprint. A method and disaggregated data basis that differentiates the material footprint for production and consumption according to, e.g., sectors, fields of consumption as well as socioeconomic criteria does not yet exist. We present two methods and its results for analyzing resource the consumption of private households based on microdata: (1) an indicator based on representative expenditure data in Germany and (2) an indicator based on survey data from a web tool. By these means, we aim to contribute to monitoring the Sustainable Development Goals, especially the sustainable management and efficient use of natural resources. Indicators based on microdata ensure that indicators can be disaggregated by socioeconomic characteristics like age, sex, income, or geographic location. Results from both methods show a right-skewed distribution of the Material Footprint in Germany and, for instance, an increasing Material Footprint with increasing household income. The methods enable researchers and policymakers to evaluate trends in resource use and to differentiate between lifestyles and along socioeconomic characteristics. This, in turn, would allow us to tailor sustainable consumption policies to household needs and restrictions.
Ziel der vorliegenden Studie ist es, positive Nachhaltigkeitseffekte für die in 2017 emittierte Nachhaltigskeitsanleihe NRW zu bewerten. Die Studie baut dabei auf der Wirkungsanalyse der zweiten Nachhaltigskeitsanleihe NRW auf. Diese Studie war auf die Abschätzung von Treibhausgas-Minderungspotenzialen (THG-Minderungen) fokussiert. Der Fokus der vorliegenden Studie liegt ebenfalls auf der Evaluation der potenziellen THG-Minderung, da deren Bewertung sich derzeit als Standard für eine Wirkungsanalyse solcher Anleihen abzeichnet.
Im Forschungsprojekt "Landscaping" untersuchte das Wuppertal Institut die für Nordrhein-Westfalen aus heutiger Sicht denkbaren Technologieansätze, die dafür nötigen politischen Rahmenbedingungen sowie mögliche Innovationen entlang der Wertschöpfungsketten. Bestandteil des Berichts sind Steckbriefe, in denen die möglichen Technologien für treibhausgasneutrale Industrieprozesse samt offener Forschungsfragen und Infrastrukturbedarfe dargestellt sind. Das Projekt entstand im Auftrag des Ministeriums für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen.
Die Modellierungs-Studie "Reparaturkosten-Empfehlung" wurde vom Wuppertal Institut im Auftrag der Verbraucherzentrale Nordrhein-Westfalen erstellt. Die Studie zielt auf die Berechnung von maximalen Reparaturkosten, die für eine Reparatur aus finanzieller Sicht sinnvoll für Verbraucherinnen und Verbraucher sind. Zusätzlich wird die ökologische Vorteilhaftigkeit von Reparaturen beispielhaft diskutiert.
Improvements in energy efficiency have numerous impacts additional to energy and greenhouse gas savings. This paper presents key findings and policy recommendations of the COMBI project ("Calculating and Operationalising the Multiple Benefits of Energy Efficiency in Europe").
This project aimed at quantifying the energy and non-energy impacts that a realisation of the EU energy efficiency potential would have in 2030. It covered the most relevant technical energy efficiency improvement actions in buildings, transport and industry.
Quantified impacts include reduced air pollution (and its effects on human health, eco-systems), improved social welfare (health, productivity), saved biotic and abiotic resources, effects on the energy system and energy security, and the economy (employment, GDP, public budgets and energy/EU-ETS prices). The paper shows that a more ambitious energy efficiency policy in Europe would lead to substantial impacts: overall, in 2030 alone, monetized multiple impacts (MI) would amount to 61 bn Euros per year in 2030, i.e. corresponding to approx. 50% of energy cost savings (131 bn Euros).
Consequently, the conservative CBA approach of COMBI yields that including MI quantifications to energy efficiency impact assessments would increase the benefit side by at least 50-70%. As this analysis excludes numerous impacts that could either not be quantified or monetized or where any double-counting potential exists, actual benefits may be much larger.
Based on these findings, the paper formulates several recommendations for EU policy making:
(1) the inclusion of MI into the assessment of policy instruments and scenarios,
(2) the need of reliable MI quantifications for policy design and target setting,
(3) the use of MI for encouraging inter-departmental and cross-sectoral cooperation in policy making to pursue common goals, and
(4) the importance of MI evaluations for their communication and promotion to decision-makers, stakeholders, investors and the general public.
Green Information Systems in general, and footprint calculators in particular, are promising feedback tools to assist people in adopting sustainable behaviour. Therefore, a Material Footprint model for use in an online footprint calculator was developed by identifying the most important predictors of the Material Footprint of the calculator's users. By means of statistical learning, the analysis revealed that 22 of the 95 predictors identified accounted for 74% of the variance in Material Footprints. Ten predictors out of the 95, mainly from the mobility domain, were capable of showing a prediction accuracy of 61%. The authors conclude that 22 predictors from the areas of mobility, housing and nutrition, as well as sociodemographic information, accurately predict a person's Material Footprint. The short and concise Material Footprint model may help developers and researchers to enhance their information systems with additional items while ensuring the data quality of such applications.
Footprint calculators are efficient tools to monitor the environmental impact of private consumption. We present the results of an analysis of data entered into an online Material Footprint calculator undertaken to identify the socioeconomic drivers of the Material Footprint in different areas of consumption, from housing to holidaymaking. We developed regression models to reveal (1) the impact of socioeconomic characteristics on Material Footprints of private households and (2) correlations between the components of Material Footprints for different arrays of consumption. Our results show that an increasing Material Footprint in one array of consumption comes with an increasing Material Footprint in all other arrays, with the exception of housing and holidaymaking. The socioeconomic characteristics of users have a significant impact on their Material Footprints. However, this impact varies by the array of consumption. Households only exhibit generally bigger Material Footprints as a result of higher incomes and larger dwellings. We conclude that indicators which strive to monitor resource efficiency should survey disaggregated data in order to classify the resource use to different population groups and arrays of consumption.
The implementation of energy efficiency improvement actions not only yields energy and greenhouse gas emission savings, but also leads to other multiple impacts such as air pollution reductions and subsequent health and eco-system effects, resource impacts, economic effects on labour markets, aggregate demand and energy prices or on energy security. While many of these impacts have been studied in previous research, this work quantifies them in one consistent framework based on a common underlying bottom-up funded energy efficiency scenario across the EU. These scenario data are used to quantify multiple impacts by energy efficiency improvement action and for all EU28 member states using existing approaches and partially further developing methodologies. Where possible, impacts are integrated into cost-benefit analyses. We find that with a conservative estimate, multiple impacts sum up to a size of at least 50% of energy cost savings, with substantial impacts coming from e.g., air pollution, energy poverty reduction and economic impacts.