German Energiewende—different visions for a (nearly) climate neutral building sector in 2050

Bürger, Veit; Hesse, Tilman; Köhler, Benjamin; Palzer, Andreas; Engelmann, Péter

doi:10.1007/s12053-018-9660-6

Cited by 18 publications

(19 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These figures are not comparable to the relatively low reduction potential reported from the Asian countries mentioned in the introduction, where the massive growth in building stock is expected. However, the resulting figures are compatible with the GHG saving potential ranges for 2050 from Germany (35-65%) [25][26][27] and with the figures presented [30] for Czechia (CZ-ENTRANZE for 2030: 40%; CZ-Mapping for 2030 37%; CZ-Briskee for 2030: 38%; CZ-Progressh for 2030: 26%). The report does not include Czech figures for 2050, but the figures for 2050 for the neighboring Slovakia are 72% (ZEBRA), 70% for Germany (ZEBRA), and 60% for Poland (ZEBRA).…”

Section: Discussion Of the Results In The Context Of Previous Studiessupporting

confidence: 85%

See 1 more Smart Citation

Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050

Lupíšek

Trubačík²,

Holub³

2021

Energies

View full text Add to dashboard Cite

One of the major anthropogenic sources of greenhouse gases is the operation of building stock. Improving its energy efficiency has the potential to significantly contribute to achieving climate change mitigation targets. The purpose of this study was to roughly estimate such potential for the operation of the national building stock of Czechia to steer the national debate on the development of related national plans. The estimation is based on a simplified energy model of the Czech building stock that consists of sub-models of residential and nonresidential building stocks, for which their future energy consumptions, shares of energy carriers and sources, and emission factors were modeled in four scenarios. Uncertainties from the approximation of the emission factors were investigated in a sensitivity analysis. The results showed that the operation of the Czech building stock in 2016 totaled 36.9 Mt CO2, which represented 34.6% of the total national carbon dioxide emissions. The four building stock scenarios could produce reductions in the carbon dioxide emissions of between 28% and 93% by 2050, when also considering on-side production from photovoltaics. The implementation of the most ambitious scenario would represent a drop in national CO2 yearly emissions by 43.2% by 2050 (compared to 2016).

show abstract

Section: Discussion Of the Results In The Context Of Previous Studiessupporting

confidence: 85%

“…Based on the results, the authors urged for a swift implementation of additional strong climate protection measures. The work was further developed and described in Klimaneutraler Gebäudebestand 2050 [26,27], which simulated GHG emission reduction scenarios of −35%, −50%, and −65% by 2050.…”

Section: Introductionmentioning

confidence: 99%

Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050

Lupíšek

Trubačík²,

Holub³

2021

Energies

View full text Add to dashboard Cite

show abstract

“…The most important underlying input data of the model is summarized in the following. Assumptions on demographic and macroeconomic developments, as well as fuel price tendencies, were primarily adopted from Buerger et al (2016) and Gerbert et al (2018) [22,23]. Electricity and heat demand profiles, as well as the supply profiles of PV and wind power plants, were based on historical data from the year 2013.…”

Section: Methodsmentioning

confidence: 99%

Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects

et al. 2019

View full text Add to dashboard Cite

Designing the future energy supply in accordance with ambitious climate change mitigation goals is a challenging issue. Common tools for planning and calculating future investments in renewable and sustainable technologies are often linear energy system models based on cost optimization. However, input data and the underlying assumptions of future developments are subject to uncertainties that negatively affect the robustness of results. This paper introduces a quadratic programming approach to modifying linear, bottom-up energy system optimization models to take cost uncertainties into account. This is accomplished by implementing specific investment costs as a function of the installed capacity of each technology. In contrast to established approaches such as stochastic programming or Monte Carlo simulation, the computation time of the quadratic programming approach is only slightly higher than that of linear programming. The model’s outcomes were found to show a wider range as well as a more robust allocation of the considered technologies than the linear model equivalent.

show abstract

“…As part of this project, a generic average building ('reference building'), which represents the geometrical properties of LMU BS, is developed. However, the focus of the HoEff-CIM project is mainly on LMU BS and developing typical energy performance indicators for different building usage categories and renovation strategies (Botzler et al 2017;Dotzler et al 2018).…”

Section: State Of the Artmentioning

confidence: 99%

Developing non-residential building stock archetypes for LCI—a German case study of office and administration buildings

Buschka

Bischof

Meier-Dotzler

et al. 2021

Int J Life Cycle Assess

View full text Add to dashboard Cite

Purpose To accomplish the national and international climate goals, building renovation and optimisation of their energy and resource efficiency are essential. Thus, reliable information on the building stock (BS) is necessary. Most previous building typologies are focussing on residential buildings and the operational phase. This paper shows the development of a methodology for generating non-residential building (NRB) typologies for life cycle inventory analysis (LCI) of building constructions. Hereby, archetypes of office, administration and department (OAD) buildings are developed, exemplarily for the German NRB stock. The methodology can further be utilised for quantity surveying of urban material stocks, related recycling scenarios and waste management. Furthermore, the exemplarily generated archetypes provide necessary information for the estimation of realistic refurbishment scenarios. Methods Approaches for the development of NRB archetypes, the descriptions of associated building materials and the LCI of BS were analysed and integrated into a methodology. It provides a clear path on the classification in building usage categories and determination of relevant building parameters for conducting LCI studies. Its aim is the creation of NRB typologies, presenting construction materials and building geometry in a useful way for life-cycle assessments (LCA). To demonstrate the methodology’s usability, it is applied to a case study with the sample of 161 OAD buildings, provided by the German NRB database ENOB:dataNWG. In combination with relevant literature on BS archetypes and materials, a sample OAD building typology has been created. Results and discussion Minimum data requirements for conducting simplified LCI calculation of BSs were identified by analysing existing LCA methods, like the German BNB system. Important clusters for developing NRB archetypes were determined: building usage category, building construction types and building age. These data gaps between required information for simplified LCA studies and available information in ENOB:dataNWG were identified, and solutions for closing these data gaps were proposed and tested. Since building archetypes must reflect the overall BS, uncertainties were discussed. The ENOB:dataNWG database was not completed at the time this paper was written, so comprehensive uncertainty analyses are important next steps. Conclusions This methodology development forms the groundwork for creating LCI building typologies for simplified LCA studies. It shows practically how to deal with a BS database and illustrates which typical values can be chosen for closing data gaps. The methodology was tested on an exemplary sample of OAD buildings. Based on this case study, the methodology concept was proven useful for the generation of a NRB typology.

show abstract

German Energiewende—different visions for a (nearly) climate neutral building sector in 2050

Cited by 18 publications

References 2 publications

Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050

Czech Building Stock: Renovation Wave Scenarios and Potential for CO2 Savings until 2050

Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects

Developing non-residential building stock archetypes for LCI—a German case study of office and administration buildings

Contact Info

Product

Resources

About