Increasing homeowners’ insulation activity in Germany - A theoretically and empirically grounded agent-based model analysis

How is it possible to increase homeowners’ insulation activity? Answering this question is key to successful policies regarding energy-efficient buildings worldwide. In Germany, doubling today’s insulation rate of about 1% is an important element for reaching the government’s target of an 80% reduction in energy demand in the building sector by 2050. This thesis uses an agent-based model analysis to improve the understanding of homeowners’ insulation activity and to explore new approaches aiming at its increase in Germany. Two agent-based models were developed and utilized. The first model was developed mainly based on insights derived from a structured literature review. The second emerged from the previous one, incorporating the results of an online survey conducted among 275 homeowners. The results indicate that homeowners’ economic means have little influence on their decision to install insulation. Instead, their insulation decision-making is mostly affected by situational factors and their attitudes towards insulation. Situational factors, such as the condition of the building, are important because they initiate homeowners’ individual decision-making processes on insulation. The simulation results show that improving homeowners’ attitudes about insulation by providing information has a comparatively low potential for increasing their insulation activity. Out of the policy options this thesis explored, the introduction of an obligation to insulate the walls within one year after change of house ownership was found to have the greatest impact on homeowners’ insulation activity. The research has been published in the scope of three peer-reviewed articles: Friege, Jonas, and Emile J. L. Chappin. “Modelling decisions on energy-efficient renovations: a review.” Renewable and Sustainable Energy Reviews 39 (2014): 196-208. Friege, Jonas, Georg Holtz, and Emile J. L. Chappin. “Exploring Homeowners’ Insulation Activity.” Journal of Artificial Societies & Social Simulation 19.1 (2016). Friege, Jonas. “Increasing homeowners’ insulation activity in Germany: An empirically grounded agent-based model analysis.” Energy and Buildings 128 (2016): 756-771. 2 MODELING DECISIONS ON ENERGY-EFFICIENT RENOVATIONS Originally published as: Friege, J. and Chappin, E., 2014. Modelling decisions on energy-efficient renovations: a review. Renewable and Sustainable Energy Reviews, 39, pp.196-208. 3 EXPLORING HOMEOWNERS’ INSULATION ACTIVITY Originally published as: Friege, J., Holtz, G. and Chappin, E.J., 2016. Exploring Homeowners' Insulation Activity. Journal of Artificial Societies & Social Simulation, 19(1). 4 INCREASING HOMEOWNERS’ INSULATION ACTIVITY IN GERMANY Originally published as: Friege, J., 2016. Increasing homeowners’ insulation activity in Germany – An empirically grounded agent-based model analysis. Journal Energy and Buildings, 128, 756–771.</p

Advances in Computational Social Science and Social Simulation

Aquesta conferència és la celebració conjunta de la "10th Artificial Economics Conference AE", la "10th Conference of the European Social Simulation Association ESSA" i la "1st Simulating the Past to Understand Human History SPUHH".Conferència organitzada pel Laboratory for Socio­-Historical Dynamics Simulation (LSDS-­UAB) de la Universitat Autònoma de Barcelona.Readers will find results of recent research on computational social science and social simulation economics, management, sociology,and history written by leading experts in the field. SOCIAL SIMULATION (former ESSA) conferences constitute annual events which serve as an international platform for the exchange of ideas and discussion of cutting edge research in the field of social simulations, both from the theoretical as well as applied perspective, and the 2014 edition benefits from the cross-fertilization of three different research communities into one single event. The volume consists of 122 articles, corresponding to most of the contributions to the conferences, in three different formats: short abstracts (presentation of work-in-progress research), posters (presentation of models and results), and full papers (presentation of social simulation research including results and discussion). The compilation is completed with indexing lists to help finding articles by title, author and thematic content. We are convinced that this book will serve interested readers as a useful compendium which presents in a nutshell the most recent advances at the frontiers of computational social sciences and social simulation researc

Increasing homeowners' insulation activity in Germany : an emirically grounded agent-based model analysis

In Germany, doubling today's insulation rate of about 1% is an important element for reaching the government's target of reducing the demand for energy in the housing sector by 80% by 2050. A survey among 275 private homeowners was conducted to better understand their insulation activity. The results were incorporated into an agent-based model, which was applied to evaluate new policy options. The results of the survey show that policies should focus on homeowners' wall insulation activity. Homeowners' decision-making processes regarding insulation are largely unaffected by their financial resources, which raises the question of the usefulness of financial incentives. In contrast, non-economic factors were found to have a statistically significant influence: in the year following a house ownership change, a comparatively large number of insulation projects are carried out. The probability of insulating walls can be predicted from knowing the homeowner's age, attitude towards insulation, and the structural condition of the walls. The simulations indicate that information instruments lead to a comparatively small increase in the wall insulation rate, while obligating new homeowners to insulate the walls within the first year after moving in has the potential to increase the total insulation rate by up to 40%

Modelling decisions on energy-efficient renovations : a review

The buildings sector accounts for more than 30% of global greenhouse gas emissions. Despite the well-known economic viability of many energy-efficient renovation measures which offer great potential for reducing greenhouse gas emissions and meeting climate protection targets, there is a relatively low level of implementation. We performed a citation network analysis in order to identify papers at the research front and intellectual base on energy-efficient renovation in four areas: technical options, understanding decisions, incentive instruments, and models and simulation. The literature was reviewed in order to understand what is needed to sufficiently increase the number of domestic energy-efficient renovations and to identify potential research gaps. Our findings show that the literature on energy-efficient renovation gained considerable momentum in the last decade, but lacks a deep understanding of the uncertainties surrounding economic aspects and non-economic factors driving renovation decisions of homeowners. The analysis indicates that the (socio-economic) energy saving potential and profitability of energy-efficient renovation measures is lower than generally expected. It is suggested that this can be accounted for by the failure to understand and consider the underpinning influences of energy-consuming behaviour in calculations. Homeowners׳ decisions to renovate are shaped by an alliance of economic and non-economic goals. Therefore, existing incentives, typically targeting the economic viability of measures, have brought little success. A deeper understanding of the decisions of homeowners is needed and we suggest that a simulation model which maps the decision-making processes of homeowners may result in refining existing instruments or developing new innovative mechanisms to tackle the situation

Simulating the influence of socio-spatial structures on energy-efficient renovations

To meet climate protection targets it is suggested to increase the number of energy-efficient renovations. Homeowners are the main decision makers regarding renovations in their houses. It is hypothesized that socio-spatial structures affect the decision to renovate. Since it is crucial to consider all important aspects influencing the decision making of homeowners when designing policies to trigger higher energyefficient renovation activity, we developed an agent-based model to examine the influence of socio-spatial structures on these decisions. The simulation results suggest that socio-spatial structures have a considerable effect on the type of renovation measures carried out. The distribution of socio-technical attributes, population density, social network properties, and residential segregation, affects the homeowners' decision to renovate. Additional research is needed to validate the model and make it applicable to evaluate policy instruments designed to promote the diffusion of energy-efficient renovations

Chancen durch Klimaschutz : positive ökonomische Implikationen einer ehrgeizigen Klimaschutzpolitik für Schlüsselbranchen in NRW ; Kurzanalyse

Welchen Effekt haben engagierte Klimaschutzmaßnahmen der Politik auf NRW's Schlüsselbranchen, wie Automotive, chemische Industrie, Finanzwirtschaft oder Energiewirtschaft? Eine Kurzstudie des Wuppertal Instituts untersucht, welche Chancen und Risiken aus dieser Praxis entstehen können. Außerdem werden Arbeitsplatz- und Wertschöpfungseffekte auch mit Blick auf entstehende Zukunftsmärkte analysiert

KRESSE - kritische mineralische Ressourcen und Stoffströme bei der Transformation des deutschen Energieversorgungssystems : Abschlussbericht

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