Now showing 1 - 7 of 7
  • Publication
    Summary, conclusion and recommendations. The future European energy system
    ( 2021)
    Möst, Dominik
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    Jakob, Martin
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    Poganietz, Witold-Roger
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    Schreiber, Steffi
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    Zöphel, Christoph
    This chapter summarizes insights and measures to decarbonize the European energy system until the year 2050, as analyzed in the previous 15 chapters, and emphasizes the considerable efforts required to coordinate and govern the targeted energy transition. With increasing aspiration regarding the targeted climate policy the more marked are the required efforts. The reference scenario Mod-RES seems to be well achievable from today's perspective, while much more additional efforts have to be taken to achieve the more ambitious High-RES scenarios. However, even the High-RES scenarios are less aspiring compared to the aims defined in the European Green Deal. Finally, this chapter highlights conclusions and policy recommendations for a cross-sectoral decarbonization as well as for its resulting environmental, social and health impacts.
  • Publication
    Future energy demand developments and demand side flexibility in a decarbonized centralized energy system
    ( 2021) ; ; ; ; ; ;
    Fermi, Francesca
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    Fiorello, Davide
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    Martino, Angelo
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    Reiter, Ulrich
    European final energy consumption mainly stems from five sectors: transport, households, industry, residential, and agriculture using fossil fuels as dominant energy carriers. In order to achieve the climate targets, emissions in the demand sectors must be drastically reduced. Due to different characteristics and challenges each sector needs its own strategy how to achieve such decarbonization until 2050. In the following chapter, the impacts of an ambitious mitigation scenario on future energy demand and CO2 emissions for transport, industry, residential, and tertiary are analyzed discussing sector specific decarbonization strategies and mitigation options. Implications of such strategies for demand-side flexibility and its future need are analyzed.
  • Publication
    Demand side management in the services sector. Empirical study on four European countries
    ( 2020)
    Reiter, Ulrich
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    Peter, Robin
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    Wohlfarth, Katharina
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    Jakob, Martin
    Demand side management (DSM) is seen as promising, cost-effective measure to cope with high shares of intermittent renewable energy in the electricty grid system. As the regulatory framework in Europe is changing in favour of opening up new market opportunities for such measures, it raises the question which DSM potentials are effectively available. Besides the DSM potential in the industry sector, which is already addressed in many countries, the information on the DSM potentials and market acceptance in the services and residential sector is scarce. In order to properly evaluate such potentials and their impact, quality data is of utmost importance to understand the barriers and drivers for the future market development. Therefore, an empirical study regarding the DSM potential in the services sector is conducted to collect firsthand data from potential DSM user. In this paper we present the findings of the empirical study, describing the results for the tertiary sector of the following European countries: the UK, Poland, Italy and Switzerland. Our study includes the subsectors retail, wholesale trading, hotels, restaurants, office-type companies (privately held), public administration, public companies and services. The collected data is important and highly necessary as it remains currently unknown which facilities have already been included in DSM-markets and what willingness or readiness is dormant in services companies, to govern over specific facilities. The data-set and the results of the study were collected within the EU REFLEX project [The project REFLEX has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 691685 and the Swiss State Secretary for Education, Research and Innovation (SERI)] and will be used as basis for further modelling exercises, to analyse and evaluate the development towards a low-carbon energy system with focus on flexibility options in the EU.
  • Publication
    Experience curves in energy models - lessons learned from the REFLEX project
    ( 2020)
    Schreiber, Steffi
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    Zöphel, Christoph
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    Fraunholz, Christoph
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    Reiter, Ulrich
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    ; ;
    Möst, Dominik
    The consideration of technological learning in energy system models is of crucial importance as modeling future energy pathways across several sectors by considering cost developments influences model results significantly. Implementing experience curves in energy system models is one of few methods to consider the relation between cumulative installed capacity deployment and unit cost reductions of a technology. In this chapter the endogenous and exogenous approach of implementing technological learning in different energy system models are compared and analyzed in detail. Therefore the corresponding strengths and limitations of these approaches are encountered as well as possible solutions to overcome these constraints are estimated. To determine the influence of uncertainty in experience curves, sensitivity analyses with three different bottom-up models are conducted. The analysis of the literature and the lessons learned from the REFLEX project reveal that the endogenous approach is feasible, especially for top-down models but related to several challenges. Thus a balance between modeling accuracy and increasing complexity needs to be maintained while interpreting modeling results carefully.
  • Publication
    Cost-curves for heating and cooling demand reduction in residential buildings
    ( 2019)
    Reiter, Ulrich
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    Palacios, Andrea
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    Jakob, Martin
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    In Europe, there is a long-term objective to decarbonise the energy system, but it is currently unclear how this will be achieved for heating and cooling (H&C) demand of residential buildings. The European project ""Heat Roadmap Europe"" aims to develop low-carbon heating and cooling strategies, by quantifying changes at the national level for 14 EU member states. One aspect of such strategies is the refurbishment of the existing building stock and the associated costs and energy savings. Therefore, cost curves of reducing the H&C demand in residential buildings are calculated, based on the FORECAST group of models. To estimate the investment costs for additional savings compared to a baseline development, this model framework includes refurbishment measures per building element (e.g. walls, windows, etc.). By ranking the refurbishment measures according to their specific cost and energy saved, one can derive annualized cost curves. Such curves have been widely used as a decision support tool by showing the additional costs or investment needed for a certain additional amount of energy- or CO2 savings on a national scale. The analysis shows that supporting deeper thermal renovation of buildings which undergo renovation under baseline considerations, is the most important missed opportunity to further reduce H&C demand. This can be achieved by e.g. converting overhaul of buildings into energy efficient retrofit or to include additional building elements in a planned partial retrofit. Further savings can be achieved by increasing the refurbishment rate (i.e. doing renovations in buildings which are untouched in the baseline). Beyond certain thresholds, however, additional policy efforts would be needed to e.g. convince investors to aim for respective measures. Addressing these options needs more long-term oriented changes in the investment behaviour but it may be needed to achieve the full potential of additional energy savings. The project Heat Roadmap Europe (4) has received funding from the European Union's Horizon 2020 research and innovation programme and the Swiss Federal Office for Research and Innovation under grant agreement No 695989.
  • Publication
    Profile of heating and cooling demand in 2015
    ( 2017) ; ; ;
    Steinbach, Jan
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    Reiter, Ulrich
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    Catenazzi, Giacomo
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    Jakob, Martin
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    Dittmann, Florian
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    Rivière, Philippe
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    Rutten, Cathelijne
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    Harmsen, Robert
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    Stabat, Pascal
  • Publication
    Benchmarking the EU reference scenario 2016: An alternative bottom-up analysis of long-term energy consumption in Europe
    Long-term scenarios of future energy demand are a major prerequisite when planning future energy systems and policy intervention. A prominent example of this is the recently published 'EU Reference Scenario 2016', which supports the European Commission's policy decision-making process via model-based energy system analysis until 2050 using the PRIMES energy system model. In terms of modelling energy demand, the EU Reference Scenario is analysed on sector level based on non-linear optimization routines and econometric functions. Due to the high relevance of the PRIMES results for the political discussion on a European level, we use the data published by the European Commission to compare and benchmark the projection of energy demand with the results of our own bottom-up analysis. The goal of this comparison is to critically reflect upon the results provided by the EU Reference Scenario on the one hand and to better understand the forces driving energy demand on the other hand. The applied modelling platform FORECAST aims to develop long-term energy demand scenarios of individual European countries. FORECAST is designed as a simulation-based bottom-up modelling approach, which considers the dynamics of technologies and socio-economic drivers on a high level of granularity. This includes vintage stock modelling for space heating equipment, household appliances and industrial steam systems, among others. To ensure a high level of comparability, we use similar framework assumptions (GDP, population, energy prices, etc.) as those provided in the EU Reference Scenario. The model results for final energy demand in the EU27 are compared by sector and country up to 2035, focusing on the residential, tertiary and industry sectors. The comparison focuses particularly on the role and contribution of bottom-up energy demand modelling and the driving forces of energy demand in the three sectors.