TY - JOUR A1 - Mooij, Wolf M. A1 - Trolle, Dennis A1 - Jeppesen, Erik A1 - Arhonditsis, George B. A1 - Belolipetsky, Pavel V. A1 - Chitamwebwa, Deonatus B. R. A1 - Degermendzhy, Andrey G. A1 - DeAngelis, Donald L. A1 - Domis, Lisette Nicole de Senerpont A1 - Downing, Andrea S. A1 - Elliott, J. Alex A1 - Fragoso Jr, Carlos Ruberto A1 - Gaedke, Ursula A1 - Genova, Svetlana N. A1 - Gulati, Ramesh D. A1 - Håkanson, Lars A1 - Hamilton, David P. A1 - Hipsey, Matthew R. A1 - ‘t Hoen, Jochem A1 - Hülsmann, Stephan A1 - Los, F. Hans A1 - Makler-Pick, Vardit A1 - Petzoldt, Thomas A1 - Prokopkin, Igor G. A1 - Rinke, Karsten A1 - Schep, Sebastiaan A. A1 - Tominaga, Koji A1 - Van Dam, Anne A. A1 - Van Nes, Egbert H. A1 - Wells, Scott A. A1 - Janse, Jan H. T1 - Challenges and opportunities for integrating lake ecosystem modelling approaches JF - Aquatic ecology N2 - A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models. KW - aquatic KW - food web dynamics KW - plankton KW - nutrients KW - spatial KW - lake KW - freshwater KW - marine KW - community KW - population KW - hydrology KW - eutrophication KW - global change KW - climate warming KW - fisheries KW - biodiversity KW - management KW - mitigation KW - adaptive processes KW - non-linear dynamics KW - analysis KW - bifurcation KW - understanding KW - prediction KW - model limitations KW - model integration Y1 - 2010 U6 - https://doi.org/10.1007/s10452-010-9339-3 SN - 1573-5125 SN - 1386-2588 VL - 44 SP - 633 EP - 667 PB - Springer Science + Business Media B.V. CY - Dordrecht ER - TY - GEN A1 - Mooij, Wolf M. A1 - Trolle, Dennis A1 - Jeppesen, Erik A1 - Arhonditsis, George B. A1 - Belolipetsky, Pavel V. A1 - Chitamwebwa, Deonatus B. R. A1 - Degermendzhy, Andrey G. A1 - DeAngelis, Donald L. A1 - Domis, Lisette Nicole de Senerpont A1 - Downing, Andrea S. A1 - Elliott, J. Alex A1 - Fragoso Jr., Carlos Ruberto A1 - Gaedke, Ursula A1 - Genova, Svetlana N. A1 - Gulati, Ramesh D. A1 - Håkanson, Lars A1 - Hamilton, David P. A1 - Hipsey, Matthew R. A1 - ‘t Hoen, Jochem A1 - Hülsmann, Stephan A1 - Los, F. Hans A1 - Makler-Pick, Vardit A1 - Petzoldt, Thomas A1 - Prokopkin, Igor G. A1 - Rinke, Karsten A1 - Schep, Sebastiaan A. A1 - Tominaga, Koji A1 - Van Dam, Anne A. A1 - Van Nes, Egbert H. A1 - Wells, Scott A. A1 - Janse, Jan H. T1 - Challenges and opportunities for integrating lake ecosystem modelling approaches T2 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - A large number and wide variety of lake ecosystem models have been developed and published during the past four decades. We identify two challenges for making further progress in this field. One such challenge is to avoid developing more models largely following the concept of others ('reinventing the wheel'). The other challenge is to avoid focusing on only one type of model, while ignoring new and diverse approaches that have become available ('having tunnel vision'). In this paper, we aim at improving the awareness of existing models and knowledge of concurrent approaches in lake ecosystem modelling, without covering all possible model tools and avenues. First, we present a broad variety of modelling approaches. To illustrate these approaches, we give brief descriptions of rather arbitrarily selected sets of specific models. We deal with static models (steady state and regression models), complex dynamic models (CAEDYM, CE-QUAL-W2, Delft 3D-ECO, LakeMab, LakeWeb, MyLake, PCLake, PROTECH, SALMO), structurally dynamic models and minimal dynamic models. We also discuss a group of approaches that could all be classified as individual based: super-individual models (Piscator, Charisma), physiologically structured models, stage-structured models and traitbased models. We briefly mention genetic algorithms, neural networks, Kalman filters and fuzzy logic. Thereafter, we zoom in, as an in-depth example, on the multi-decadal development and application of the lake ecosystem model PCLake and related models (PCLake Metamodel, Lake Shira Model, IPH-TRIM3D-PCLake). In the discussion, we argue that while the historical development of each approach and model is understandable given its 'leading principle', there are many opportunities for combining approaches. We take the point of view that a single 'right' approach does not exist and should not be strived for. Instead, multiple modelling approaches, applied concurrently to a given problem, can help develop an integrative view on the functioning of lake ecosystems. We end with a set of specific recommendations that may be of help in the further development of lake ecosystem models. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1326 KW - aquatic KW - food web dynamics KW - plankton KW - nutrients KW - spatial KW - lake KW - freshwater KW - marine KW - community KW - population KW - hydrology KW - eutrophication KW - global change KW - climate warming KW - fisheries KW - biodiversity KW - management KW - mitigation KW - adaptive processes KW - non-linear dynamics KW - analysis KW - bifurcation KW - understanding KW - prediction KW - model limitations KW - model integration Y1 - 2010 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-429839 SN - 1866-8372 IS - 1326 ER - TY - JOUR A1 - Schaub, Tonio A1 - Klaassen, Raymond H. G. A1 - Bouten, Willem A1 - Schlaich, Almut E. A1 - Koks, Ben J. T1 - Collision risk of Montagu’s Harriers Circus pygargus with wind turbines derived from high-resolution GPS tracking JF - Ibis : the international journal of avian science ; the journal of the British Ornithologists' Union N2 - Flight behaviour characteristics such as flight altitude and avoidance behaviour determine the species-specific collision risk of birds with wind turbines. However, traditional observational methods exhibit limited positional accuracy. High-resolution GPS telemetry represents a promising method to overcome this drawback. In this study, we used three-dimensional GPS tracking data including high-accuracy tracks recorded at 3-s intervals to investigate the collision risk of breeding male Montagu's Harriers Circus pygargus in the Dutch–German border region. Avoidance of wind turbines was quantified by a novel approach comparing observed flights to a null model of random flight behaviour. On average, Montagu's Harriers spent as much as 8.2 h per day in flight. Most flights were at low altitude, with only 7.1% within the average rotor height range (RHR; 45–125 m). Montagu's Harriers showed significant avoidance behaviour, approaching turbines less often than expected, particularly when flying within the RHR (avoidance rate of 93.5%). For the present state, with wind farms situated on the fringes of the regional nesting range, collision risk models based on our new insights on flight behaviour indicated 0.6–2.0 yearly collisions of adult males (as compared with a population size of c. 40 pairs). However, the erection of a new wind farm inside the core breeding area could markedly increase mortality (up to 9.7 yearly collisions). If repowering of the wind farms was carried out using low-reaching modern turbines (RHR 36–150 m), mortality would more than double, whereas it would stay approximately constant if higher turbines (RHR 86–200 m) were used. Our study demonstrates the great potential of high-resolution GPS tracking for collision risk assessments. The resulting information on collision-related flight behaviour allows for performing detailed scenario analyses on wind farm siting and turbine design, in contrast to current environmental assessment practices. With regard to Montagu's Harriers, we conclude that although the deployment of higher wind turbines represents an opportunity to reduce collision risk for this species, precluding wind energy developments in core breeding areas remains the most important mitigation measure. KW - avoidance rate KW - environmental impact KW - flight height KW - human-wildlife conflict KW - mitigation KW - raptors KW - renewable energy KW - wind energy Y1 - 2019 U6 - https://doi.org/10.1111/ibi.12788 SN - 0019-1019 SN - 1474-919X VL - 162 IS - 2 SP - 520 EP - 534 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Hennemann, Anja T1 - Reporting on ‘thinking’ in Spanish and Portuguese and the role of the subject pronoun N2 - The present paper is concerned with the phenomenon of reporting on the speakers’ thinking when both the reporting and the reported clauses originate in one and the same speaker, i.e. the performative uses of the verbs sp. creer and pt. achar (‘think’). The data are retrieved from the CdE-NOW and CdP-NOW. Adopting both a quantitative and a qualitative perspective, I concentrate on reporting on thinking with and without the overt expression of the subject pronouns sp. yo and pt. eu. In doing so, the constructions (yo) creo (que) and (eu) acho (que) as well as parenthetic and right-peripheral creo yo and acho eu are studied. According to the corpus data and compared to other possible constructions with creo and acho, creo que and acho que represent the most frequent constructions if searching for the ‘node’ creo or acho, that is, if the non-use of the subject pronoun exceeds its explicit expression. KW - cognitive verbs KW - subject pronoun KW - discourse function KW - mitigation KW - Spanish KW - Portuguese Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-474455 ER - TY - GEN A1 - Laudan, Jonas A1 - Zöller, Gert A1 - Thieken, Annegret T1 - Flash floods versus river floods BT - a comparison of psychological impacts and implications for precautionary behaviour T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - River floods are among the most damaging natural hazards that frequently occur in Germany. Flooding causes high economic losses and impacts many residents. In 2016, several southern German municipalities were hit by flash floods after unexpectedly severe heavy rainfall, while in 2013 widespread river flooding had occurred. This study investigates and compares the psychological impacts of river floods and flash floods and potential consequences for precautionary behaviour. Data were collected using computer-aided telephone interviews that were conducted among flood-affected households around 9 months after each damaging event. This study applies Bayesian statistics and negative binomial regressions to test the suitability of psychological indicators to predict the precaution motivation of individuals. The results show that it is not the particular flood type but rather the severity and local impacts of the event that are crucial for the different, and potentially negative, impacts on mental health. According to the used data, however, predictions of the individual precaution motivation should not be based on the derived psychological indicators – i.e. coping appraisal, threat appraisal, burden and evasion – since their explanatory power was generally low and results are, for the most part, non-significant. Only burden reveals a significant positive relation to planned precaution regarding weak flash floods. In contrast to weak flash floods and river floods, the perceived threat of strong flash floods is significantly lower although feelings of burden and lower coping appraisals are more pronounced. Further research is needed to better include psychological assessment procedures and to focus on alternative data sources regarding floods and the connected precaution motivation of affected residents. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 968 KW - private households KW - risk perceptions KW - extreme rainfall KW - health KW - mitigation KW - Germany KW - people KW - damage KW - preparedness KW - residents Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-473974 SN - 1866-8372 IS - 968 SP - 999 EP - 1023 ER - TY - JOUR A1 - Laudan, Jonas A1 - Zöller, Gert A1 - Thieken, Annegret T1 - Flash floods versus river floods BT - a comparison of psychological impacts and implications for precautionary behaviour JF - Natural Hazards and Earth System Sciences N2 - River floods are among the most damaging natural hazards that frequently occur in Germany. Flooding causes high economic losses and impacts many residents. In 2016, several southern German municipalities were hit by flash floods after unexpectedly severe heavy rainfall, while in 2013 widespread river flooding had occurred. This study investigates and compares the psychological impacts of river floods and flash floods and potential consequences for precautionary behaviour. Data were collected using computer-aided telephone interviews that were conducted among flood-affected households around 9 months after each damaging event. This study applies Bayesian statistics and negative binomial regressions to test the suitability of psychological indicators to predict the precaution motivation of individuals. The results show that it is not the particular flood type but rather the severity and local impacts of the event that are crucial for the different, and potentially negative, impacts on mental health. According to the used data, however, predictions of the individual precaution motivation should not be based on the derived psychological indicators – i.e. coping appraisal, threat appraisal, burden and evasion – since their explanatory power was generally low and results are, for the most part, non-significant. Only burden reveals a significant positive relation to planned precaution regarding weak flash floods. In contrast to weak flash floods and river floods, the perceived threat of strong flash floods is significantly lower although feelings of burden and lower coping appraisals are more pronounced. Further research is needed to better include psychological assessment procedures and to focus on alternative data sources regarding floods and the connected precaution motivation of affected residents. KW - private households KW - risk perceptions KW - extreme rainfall KW - health KW - mitigation KW - Germany KW - people KW - damage KW - preparedness KW - residents Y1 - 2019 U6 - https://doi.org/10.5194/nhess-20-999-2020 SN - 1684-9981 VL - 20 SP - 999 EP - 1023 PB - European Geophysical Society CY - Katlenburg-Lindau ER - TY - JOUR A1 - Rözer, Viktor A1 - Müller, Meike A1 - Bubeck, Philip A1 - Kienzler, Sarah A1 - Thieken, Annegret A1 - Pech, Ina A1 - Schröter, Kai A1 - Buchholz, Oliver A1 - Kreibich, Heidi T1 - Coping with Pluvial Floods by Private Households JF - Water N2 - Pluvial floods have caused severe damage to urban areas in recent years. With a projected increase in extreme precipitation as well as an ongoing urbanization, pluvial flood damage is expected to increase in the future. Therefore, further insights, especially on the adverse consequences of pluvial floods and their mitigation, are needed. To gain more knowledge, empirical damage data from three different pluvial flood events in Germany were collected through computer-aided telephone interviews. Pluvial flood awareness as well as flood experience were found to be low before the respective flood events. The level of private precaution increased considerably after all events, but is mainly focused on measures that are easy to implement. Lower inundation depths, smaller potential losses as compared with fluvial floods, as well as the fact that pluvial flooding may occur everywhere, are expected to cause a shift in damage mitigation from precaution to emergency response. However, an effective implementation of emergency measures was constrained by a low dissemination of early warnings in the study areas. Further improvements of early warning systems including dissemination as well as a rise in pluvial flood preparedness are important to reduce future pluvial flood damage. KW - pluvial floods KW - surface water flooding KW - emergency response KW - early warning KW - preparedness KW - damage KW - mitigation Y1 - 2016 U6 - https://doi.org/10.3390/w8070304 SN - 2073-4441 VL - 8 PB - MDPI CY - Basel ER - TY - GEN A1 - Rözer, Viktor A1 - Müller, Meike A1 - Bubeck, Philip A1 - Kienzler, Sarah A1 - Thieken, Annegret A1 - Pech, Ina A1 - Schröter, Kai A1 - Buchholz, Oliver A1 - Kreibich, Heidi T1 - Coping with pluvial floods by private households N2 - Pluvial floods have caused severe damage to urban areas in recent years. With a projected increase in extreme precipitation as well as an ongoing urbanization, pluvial flood damage is expected to increase in the future. Therefore, further insights, especially on the adverse consequences of pluvial floods and their mitigation, are needed. To gain more knowledge, empirical damage data from three different pluvial flood events in Germany were collected through computer-aided telephone interviews. Pluvial flood awareness as well as flood experience were found to be low before the respective flood events. The level of private precaution increased considerably after all events, but is mainly focused on measures that are easy to implement. Lower inundation depths, smaller potential losses as compared with fluvial floods, as well as the fact that pluvial flooding may occur everywhere, are expected to cause a shift in damage mitigation from precaution to emergency response. However, an effective implementation of emergency measures was constrained by a low dissemination of early warnings in the study areas. Further improvements of early warning systems including dissemination as well as a rise in pluvial flood preparedness are important to reduce future pluvial flood damage. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 355 KW - pluvial floods KW - surface water flooding KW - emergency response KW - early warning KW - preparedness KW - damage KW - mitigation Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-400465 ER - TY - THES A1 - Olonscheck, Mady T1 - Climate change impacts on electricity and residential energy demand T1 - Auswirkungen des Klimawandels auf den Stromsektor und den Energiebedarf von Wohngebäuden N2 - The energy sector is both affected by climate change and a key sector for climate protection measures. Energy security is the backbone of our modern society and guarantees the functioning of most critical infrastructure. Thus, decision makers and energy suppliers of different countries should be familiar with the factors that increase or decrease the susceptibility of their electricity sector to climate change. Susceptibility means socioeconomic and structural characteristics of the electricity sector that affect the demand for and supply of electricity under climate change. Moreover, the relevant stakeholders are supposed to know whether the given national energy and climate targets are feasible and what needs to be done in order to meet these targets. In this regard, a focus should be on the residential building sector as it is one of the largest energy consumers and therefore emitters of anthropogenic CO 2 worldwide. This dissertation addresses the first aspect, namely the susceptibility of the electricity sector, by developing a ranked index which allows for quantitative comparison of the electricity sector susceptibility of 21 European countries based on 14 influencing factors. Such a ranking has not been completed to date. We applied a sensitivity analysis to test the relative effect of each influencing factor on the susceptibility index ranking. We also discuss reasons for the ranking position and thus the susceptibility of selected countries. The second objective, namely the impact of climate change on the energy demand of buildings, is tackled by means of a new model with which the heating and cooling energy demand of residential buildings can be estimated. We exemplarily applied the model to Germany and the Netherlands. It considers projections of future changes in population, climate and the insulation standards of buildings, whereas most of the existing studies only take into account fewer than three different factors that influence the future energy demand of buildings. Furthermore, we developed a comprehensive retrofitting algorithm with which the total residential building stock can be modeled for the first time for each year in the past and future. The study confirms that there is no correlation between the geographical location of a country and its position in the electricity sector susceptibility ranking. Moreover, we found no pronounced pattern of susceptibility influencing factors between countries that ranked higher or lower in the index. We illustrate that Luxembourg, Greece, Slovakia and Italy are the countries with the highest electricity sector susceptibility. The electricity sectors of Norway, the Czech Republic, Portugal and Denmark were found to be least susceptible to climate change. Knowledge about the most important factors for the poor and good ranking positions of these countries is crucial for finding adequate adaptation measures to reduce the susceptibility of the electricity sector. Therefore, these factors are described within this study. We show that the heating energy demand of residential buildings will strongly decrease in both Germany and the Netherlands in the future. The analysis for the Netherlands focused on the regional level and a finer temporal resolution which revealed strong variations in the future heating energy demand changes by province and by month. In the German study, we additionally investigated the future cooling energy demand and could demonstrate that it will only slightly increase up to the middle of this century. Thus, increases in the cooling energy demand are not expected to offset reductions in heating energy demand. The main factor for substantial heating energy demand reductions is the retrofitting of buildings. We are the first to show that the given German and Dutch energy and climate targets in the building sector can only be met if the annual retrofitting rates are substantially increased. The current rate of only about 1 % of the total building stock per year is insufficient for reaching a nearly zero-energy demand of all residential buildings by the middle of this century. To reach this target, it would need to be at least tripled. To sum up, this thesis emphasizes that country-specific characteristics are decisive for the electricity sector susceptibility of European countries. It also shows for different scenarios how much energy is needed in the future to heat and cool residential buildings. With this information, existing climate mitigation and adaptation measures can be justified or new actions encouraged. N2 - Der Energiesektor ist sowohl vom Klimawandel betroffen als auch ein Schlüsselsektor für Maßnahmen zum Klimaschutz. Energiesicherheit ist das Rückgrat unserer modernen Gesellschaft und gewährleistet das Funktionieren der meisten kritischen Infrastrukturen. Daher sollten Entscheidungsträger und Energieversorger verschiedener Länder mit den Faktoren vertraut sein, welche die Anfälligkeit ihres Elektrizitätssektors gegenüber dem Klimawandel beeinflussen. Anfälligkeit meint die sozio-ökonomischen und strukturellen Eigenschaften des Elektrizitätssektors, die die Nachfrage nach und das Angebot an Strom unter sich änderndem Klima erhöhen oder verringern. Darüber hinaus sollten die relevanten Akteure wissen, ob die gesetzten nationalen Energie- und Klimaziele umsetzbar sind und was getan werden muss, um diese Ziele zu erreichen. In diesem Zusammenhang sollte ein Schwerpunkt auf dem Wohngebäudesektor liegen, da dieser einer der größten Energieverbraucher und damit anthropogen bedingter CO2-Emittenten weltweit ist. Diese Dissertation befasst sich mit dem ersten Aspekt, der Anfälligkeit des Elektrizitätssektors, durch die Entwicklung eines Rankings, welches einen quantitativen Vergleich der Anfälligkeit des Elektrizitätssektors von 21 europäischen Ländern anhand von 14 Einflussfaktoren ermöglicht. Solch ein Ranking wurde bisher noch nicht erstellt. Wir führten eine Sensitivitätsanalyse durch, um den relativen Einfluss eines jeden Einflussfaktors auf das Ranking gemäß der Anfälligkeit zu testen. Wir diskutieren zudem Gründe für die Ranking-Position und damit die Anfälligkeit ausgewählter Länder. Das zweite Thema, der Einfluss des Klimawandels auf den Gebäudeenergiebedarf, wird mittels eines neuen Modells bearbeitet, mit welchem der Heiz- und Kühlenergiebedarf von Wohngebäuden abgeschätzt werden kann. Wir wandten das Modell exemplarisch für Deutschland und die Niederlande an. Es berücksichtigt Prognosen für zukünftige Veränderungen der Bevölkerung, des Klimas und des Dämmstandards von Gebäuden, während die meisten der bestehenden Studien nur weniger als drei verschiedene Faktoren berücksichtigen, die den zukünftigen Energiebedarf von Gebäuden beeinflussen. Darüber hinaus haben wir einen umfassenden Sanierungsalgorithmus entworfen, mit welchem der gesamte Wohngebäudebestand erstmals für jedes Jahr in der Vergangenheit und Zukunft modelliert werden kann. Die Studie bestätigt, dass es keinen Zusammenhang zwischen der geographischen Lage eines Landes und seiner Position im Ranking gemäß der Anfälligkeit seines Elektrizitätssektors gibt. Wir fanden auch kein deutliches Muster der Einflussfaktoren für die Anfälligkeit zwischen Ländern, die beim Ranking schlechter oder besser abschnitten. Wir verdeutlichen, dass Luxemburg, Griechenland, die Slowakei und Italien die Länder mit der höchsten Anfälligkeit ihres Elektrizitätssektors sind. Die Elektrizitätssektoren von Norwegen, Tschechien, Portugal und Dänemark zeigten sich als am wenigsten anfällig gegenüber dem Klimawandel. Kenntnisse hinsichtlich der wichtigsten Faktoren für die schlechte bzw. gute Rankingposition dieser Länder sind von entscheidender Bedeutung, um geeignete Anpassungsmaßnahmen zu finden, welche die Anfälligkeit des Elektrizitätssektors reduzieren. Daher werden solche Faktoren in dieser Studie beschrieben. Wir zeigen, dass der Heizenergiebedarf von Wohngebäuden sowohl in Deutschland als auch in den Niederlanden in der Zukunft stark abnehmen wird. Die Analyse für die Niederlande konzentrierte sich auf die regionale Ebene und hatte eine feinere zeitliche Auflösung, wodurch starke zukünftige Veränderungen beim Heizenergiebedarf pro Provinz und Monat deutlich wurden. In der deutschen Studie untersuchten wir zusätzlich den zukünftigen Kühlenergiebedarf und konnten darlegen, dass dieser bis zur Mitte dieses Jahrhunderts nur leicht zunehmen wird. So werden Steigerungen beim Kühlenergiebedarf voraussichtlich nicht die Reduktionen des Heizenergiebedarfs wettmachen. Der wichtigste Faktor für beträchtliche Heizenergiebedarfssenkungen ist die Sanierung von Gebäuden. Wir sind die ersten, die zeigen, dass die festgelegten deutschen und niederländischen Energie- und Klimaziele im Gebäudesektor nur dann erfüllt werden können, wenn die jährliche Sanierungsrate deutlich erhöht wird. Die derzeitige Rate von nur etwa 1% des Gesamtgebäudebestandes pro Jahr reicht nicht aus, dass bis zur Mitte dieses Jahrhunderts alle Wohngebäude einen nahezu energieneutralen Standard erreichen. Dafür müsste sie mindestens verdreifacht werden. Diese Arbeit betont, dass länderspezifische Merkmale eine entscheidende Rolle spielen für die Anfälligkeit des Elektrizitätssektors europäischer Länder. Sie zeigt zudem für verschiedene Szenarien, wie viel Energie in der Zukunft benötigt wird, um Wohngebäude zu heizen und zu kühlen. Mit diesen Informationen lassen sich bestehende Klimaschutz- und Anpassungsmaßnahmen rechtfertigen oder neue Maßnahmen anregen. KW - climate change KW - energy demand KW - residential buildings KW - mitigation KW - susceptibility of the European electricity sector KW - Klimawandel KW - Stromsektor KW - Sanierung KW - Gebäudenergiebedarf KW - Haushalte KW - Europa Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-98378 ER -