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Energy sufficiency has recently gained increasing attention as a way to limit and reduce total energy consumption of households and overall. This paper presents both the partly new methods and the results of a comprehensive analysis of a micro- and meso-level energy sufficiency policy package to make electricity use in the home more sufficient and reduce at least the growth in per-capita dwelling size. The objective is to find out how policy can support households and their members, as individuals or as caregivers, but also manufacturers and local authorities in practicing energy sufficiency. This analysis needed an adapted and partly new set of methods we developed. Energy sufficiency does not only face barriers like energy efficiency, but also potential restrictions for certain household members or characteristics, and sometimes, preconditions have to be met to make more energy-sufficient routines and practices possible. All of this was analysed in detail to derive recommendations for which policy instruments need to be combined to an effective policy package for energy sufficiency. Energy efficiency and energy sufficiency should not be seen as opposed to each other but work in the same direction - saving energy. Therefore, some energy sufficiency policy instruments may be the same as for energy efficiency, such as energy pricing policies. Some may simply adapt technology-specific energy efficiency policy instruments. Examples include progressive appliance efficiency standards, standards based on absolute consumption, or providing energy advice. However, sufficiency may also require new policy approaches. They may range from promotion of completely different services for food and clothes cleaning, to instruments for limiting average dwelling floor area per person, or to a cap-and-trade system for the total electricity sales of a supplier to its customers, instead of an energy efficiency obligation.
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.
Eine Kosten-Nutzen-Analyse ist ein bewährtes Mittel, um die Rentabilität einer Energieeffizienzmaßnahme zu bewerten: Die Investitionskosten werden mit den eingesparten Energiekosten verglichen. Investitionsentscheidungen für Energieeffizienzmaßnahmen erfolgen allerdings häufig nicht nach einer reinen Erwägung der direkten Kosten und Nutzen. Gründe hierfür sind unter anderem "versteckte" Kosten und Risiken (z. B. Kosten für die Beschaffung von Informationen, Unsicherheiten über zukünftige Energiepreise und Einsparungen), aber auch nicht-monetäre Hemmnisse, die bei Entscheidungen eine Rolle spielen (z. B. beschränkte Rationalität, Präferenzen, Zeitverfügbarkeit). Vor diesem Hintergrund verfolgt der Bericht das Ziel, ein besseres Verständnis der Kosten-Nutzen-Erwägungen von Investoren und deren Entscheidungswirklichkeit zu erlangen.
Die Untersuchung zeigt, dass Energieeffizienzdienstleistungen (EEDL) generell die versteckten Kosten - Transaktionskosten - reduzieren können. Das setzt aber voraus, dass EEDL sachgerecht durchgeführt werden. Transaktionskosten werden allerdings im Zusammenhang mit Energieeffizienzmaßnahmen von den Akteuren kaum wahrgenommen und entsprechend nicht quantifiziert. Des Weiteren zeigt sich, dass insbesondere bei Unternehmen die EEDL-Kosten für bestimmte Maßnahmen hoch sein können. Doch werden gerade in diesen Fällen die Transaktionskosten reduziert. Grundsätzlich erscheinen kostenaufwendigere EEDL, wie umfassendere Vor-Ort-Beratungen, im Gegensatz zu den preiswerteren Vor-Ort-Checks besser geeignet, um Transaktionskosten zu reduzieren.
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.
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.
