The visibility of sustainable energy measures is a channel of social influence, a means of conspicuous consumption, and affects the aesthetics of an environment. This study investigates how the visibility of sustainable household energy measures (i.e., installation of renewable energy and energy efficient devices) affects people's choices of those products in the Netherlands. In addition, the moderating effects of product attributes, including price, aesthetic appeal, environmental impact, and popularity, are assessed. A choice experiment was conducted in which participants chose between options of heat pumps and solar panels. The results indicate that visibility decreases the probability that a person chooses a heat pump, whereas visibility does not affect the choice of solar panels. For heat pumps, a higher aesthetic appeal mitigates the negative effect of visibility. Interestingly, a more positive environmental impact worsens the negative effect of visibility on the choice of heat pumps. The study suggests that visibility is not influential for choices of sustainable energy measures that have been part of the street scenery for a while, such as solar panels. For devices of which presence is unfamiliar, visibility is perceived as negative and considered a reason to choose another model. For a decision about whether to visibly install unfamiliar sustainable energy measures, expression of aesthetic style is a positive and influential factor, whereas increased environmentalism negatively affects choice.
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The built environment requires energy-flexible buildings to reduce energy peak loads and to maximize the use of (decentralized) renewable energy sources. The challenge is to arrive at smart control strategies that respond to the increasing variations in both the energy demand as well as the variable energy supply. This enables grid integration in existing energy networks with limited capacity and maximises use of decentralized sustainable generation. Buildings can play a key role in the optimization of the grid capacity by applying demand-side management control. To adjust the grid energy demand profile of a building without compromising the user requirements, the building should acquire some energy flexibility capacity. The main ambition of the Brains for Buildings Work Package 2 is to develop smart control strategies that use the operational flexibility of non-residential buildings to minimize energy costs, reduce emissions and avoid spikes in power network load, without compromising comfort levels. To realise this ambition the following key components will be developed within the B4B WP2: (A) Development of open-source HVAC and electric services models, (B) development of energy demand prediction models and (C) development of flexibility management control models. This report describes the developed first two key components, (A) and (B). This report presents different prediction models covering various building components. The models are from three different types: white box models, grey-box models, and black-box models. Each model developed is presented in a different chapter. The chapters start with the goal of the prediction model, followed by the description of the model and the results obtained when applied to a case study. The models developed are two approaches based on white box models (1) White box models based on Modelica libraries for energy prediction of a building and its components and (2) Hybrid predictive digital twin based on white box building models to predict the dynamic energy response of the building and its components. (3) Using CO₂ monitoring data to derive either ventilation flow rate or occupancy. (4) Prediction of the heating demand of a building. (5) Feedforward neural network model to predict the building energy usage and its uncertainty. (6) Prediction of PV solar production. The first model aims to predict the energy use and energy production pattern of different building configurations with open-source software, OpenModelica, and open-source libraries, IBPSA libraries. The white-box model simulation results are used to produce design and control advice for increasing the building energy flexibility. The use of the libraries for making a model has first been tested in a simple residential unit, and now is being tested in a non-residential unit, the Haagse Hogeschool building. The lessons learned show that it is possible to model a building by making use of a combination of libraries, however the development of the model is very time consuming. The test also highlighted the need for defining standard scenarios to test the energy flexibility and the need for a practical visualization if the simulation results are to be used to give advice about potential increase of the energy flexibility. The goal of the hybrid model, which is based on a white based model for the building and systems and a data driven model for user behaviour, is to predict the energy demand and energy supply of a building. The model's application focuses on the use case of the TNO building at Stieltjesweg in Delft during a summer period, with a specific emphasis on cooling demand. Preliminary analysis shows that the monitoring results of the building behaviour is in line with the simulation results. Currently, development is in progress to improve the model predictions by including the solar shading from surrounding buildings, models of automatic shading devices, and model calibration including the energy use of the chiller. The goal of the third model is to derive recent and current ventilation flow rate over time based on monitoring data on CO₂ concentration and occupancy, as well as deriving recent and current occupancy over time, based on monitoring data on CO₂ concentration and ventilation flow rate. The grey-box model used is based on the GEKKO python tool. The model was tested with the data of 6 Windesheim University of Applied Sciences office rooms. The model had low precision deriving the ventilation flow rate, especially at low CO2 concentration rates. The model had a good precision deriving occupancy from CO₂ concentration and ventilation flow rate. Further research is needed to determine if these findings apply in different situations, such as meeting spaces and classrooms. The goal of the fourth chapter is to compare the working of a simplified white box model and black-box model to predict the heating energy use of a building. The aim is to integrate these prediction models in the energy management system of SME buildings. The two models have been tested with data from a residential unit since at the time of the analysis the data of a SME building was not available. The prediction models developed have a low accuracy and in their current form cannot be integrated in an energy management system. In general, black-box model prediction obtained a higher accuracy than the white box model. The goal of the fifth model is to predict the energy use in a building using a black-box model and measure the uncertainty in the prediction. The black-box model is based on a feed-forward neural network. The model has been tested with the data of two buildings: educational and commercial buildings. The strength of the model is in the ensemble prediction and the realization that uncertainty is intrinsically present in the data as an absolute deviation. Using a rolling window technique, the model can predict energy use and uncertainty, incorporating possible building-use changes. The testing in two different cases demonstrates the applicability of the model for different types of buildings. The goal of the sixth and last model developed is to predict the energy production of PV panels in a building with the use of a black-box model. The choice for developing the model of the PV panels is based on the analysis of the main contributors of the peak energy demand and peak energy delivery in the case of the DWA office building. On a fault free test set, the model meets the requirements for a calibrated model according to the FEMP and ASHRAE criteria for the error metrics. According to the IPMVP criteria the model should be improved further. The results of the performance metrics agree in range with values as found in literature. For accurate peak prediction a year of training data is recommended in the given approach without lagged variables. This report presents the results and lessons learned from implementing white-box, grey-box and black-box models to predict energy use and energy production of buildings or of variables directly related to them. Each of the models has its advantages and disadvantages. Further research in this line is needed to develop the potential of this approach.
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This manifesto describes the notion of sustainable development according to its basic appeal for economic, social and environmental value-creation, together with the implications of its meaning at the level of the individual (the manager), the organisation (the business) and society. As sustainable tourism is focused on the long term, foresight is used to develop four scenarios for a sustainable tourism industry in 2040: “back to the seventies”, “captured in fear”, “unique in the world”, and “shoulders to the wheel”. The implications of the scenarios are mapped for four distinct types of organisational DNA: the blue organisation focusing on quality, professionalism and efficiency, the red organisation for whom challenge, vision and change are most important, the yellow organisation addressing energy, optimism and growth, and the green organisation which is led by care, tradition and security. The manifest concludes with strategic propositions for tourism organisations in each of the four business types and each of the four scenarios.
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Energy efficiency has gained a lot of prominence in recent debates on urban sustainability and housing policy due to its potential consequences for climate change. At the local, national and also international level, there are numerous initiatives to promote energy savings and the use of renewable energy to reduce the environmental burden. There is a lot of literature on energy saving and other forms of energy efficiency in housing. However, how to bring this forward in the management of individual housing organisations is not often internationally explored. An international research project has been carried out to find the answers on management questions of housing organisations regarding energy efficiency. Eleven countries have been included in this study: Germany, the United Kingdom (more specifically: England), France, Sweden, Denmark, the Netherlands, Switzerland, Slovenia, the Czech Republic, Austria and Canada. The state of the art of energy efficiency in the housing management of non-profit housing organisations and the embedding of energy efficiency to improve the quality and performance of housing in management practices have been investigated, with a focus on how policy ambitions about energy efficiency are brought forward in investment decisions at the estate level. This paper presents the conclusions of the research
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There are over 1400 age-friendly cities and communities worldwide, and the efforts to create a better quality of life for older people progressively intersect with sustainability goals. The intentions and behaviours concerning sustainability among older are, however, not yet well understood. Therefore, there is a need for assessing these intentions and behaviours through the use of a transparently constructed and validated instrument which can be used to measures the construct of environmental sustainability among older people. The aim of this study is to develop a questionnaire measuring how older people view the theme of environmental sustainability in their daily lives, with a focus on the built environment, providing full transparency and reproducibility. The process of development and validation of the SustainABLE-16 Questionnaire followed the COSMIN protocol, and has been conducted in five phases. This rigorous process has resulted in a valid, psychometrically sound, comprehensive 16-item questionnaire. This instrument can be applied to assess older people's beliefs, behaviours and financial aspects regarding environmental sustainability in their lives. The SustainABLE-16 Questionnaire was created in Dutch and in British English.
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The goal of a local energy community (LEC) is to create a more sustainable, resilient, and efficient energy system by reducing dependence on centralized power sources and enabling greater participation and control by local communities and individuals. LEC requires transformations in local energy systems, and strongly depends on the preferences and actions of the local actors involved. The necessity for extensive stakeholder involvement adds complexity to the energy transition, posing a significant challenge for all involved parties. The municipality of Leidschendam-Voorburg has committed to the national decision for energy transition. It has taken a strategic approach by proceeding De Heuvel/Amstelwijk as the pioneer in this initiative, leading the way for other neighborhoods to follow. It is crucial to devise strategies that effectively facilitate stakeholder engagement. To this end, a thorough stakeholder analysis is needed. Such an analysis can focus on the identification of key stakeholders, their interests, their influence, and their behavioral characteristics in relation to the energy transition. Additionally, it's crucial to uncover the challenges encountered by these stakeholders and finally develop appropriate strategies to address them hence enhance their engagement. This thesis begins with an introduction to the research background, including a presentation of the case study and a statement of the problem identified in the field, followed by the research questions underpinning the study. A thorough literature review ensues, providing a robust synthesis of existing research relating to stakeholder engagement in LECs, with a view to expediting energy transitions. The literature review not only forms the foundation for the research methods adopted in this study but also promotes in the construction of the conceptual model. Subsequent to the literature review, the research method is detailed. The filed research is conducted in five steps: Step 1 - identification of stakeholders, Step 2 - prioritization of stakeholders, Step 3 - interviewing, Step 4 - data analysis, including stakeholder profiling with mapping and addressing challenges, and finally, Step 5 - proposal of strategies for stakeholder engagement enhancement based on the expected and current levels of stakeholders engagement. This research collects necessary information to understand the profiles of stakeholders in De Heuvel/Amstelwijk, tackle challenges faced by different stakeholders, propose strategies to increase stakeholders engagement. It not only aims to enrich the depth of theoretical knowledge on the subject matter but also strives to aid in the development of a localized energy strategy that is optimally suited for the De Heuvel/Amstelwijk neighborhood as good example for other neighborhoods.
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This paper focuses on utilizing the Celciushouse as an escape room in energy education. In a broader context, it also addresses the incorporation of serious gaming in education. The project is part of COVE SEED. SEED - Sustainable Energy Education, aims to develop innovative vocational education and training, working with experts from five different European regions to phase out fossil fuels and contributing to Europe becoming a fossil free energy continent. SEED is a CoVE (Centres of Vocational Excellence) programme. CoVE’s are part of the Erasmus+ program aiming to establish transnational platforms on, among others, regional development, innovation and inclusion. SEED combines education on various international levels including level 2,3,4, and 6. At this moment, the project ESCAPEROOM IN ENERGY EDUCATION is still in its initial phase. With this paper and the accompanying workshop, we aim to gather insights from other international regions involved in the SEED project collaboration. The acceleration of technological developments means that what is learned today may be outdated tomorrow. Therefore, it is essential for educational institutions to focus on developing general skills such as critical thinking, problem-solving, and the ability to quickly absorb new information. The market demands professionals with modern knowledge and skills. Techniques taught to students today may become outdated tomorrow. Therefore, the ability to learn how to learn is becoming increasingly crucial. Analytical and research skills are therefore gaining importance. It is also essential for students to utilize various learning methods. Not just learning from books but particularly learning from practical experience. Practice-oriented learning, where students gain direct experience in real situations, not only reinforces theoretical knowledge but also develops practical skills that are valuable in the job market. To tackle these problems, serious gaming or the establishment of escape rooms can be a solution.
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Innovation is crucial for higher education to ensure high-quality curricula that address the changing needs of students, labor markets, and society as a whole. Substantial amounts of resources and enthusiasm are devoted to innovations, but often they do not yield the desired changes. This may be due to unworkable goals, too much complexity, and a lack of resources to institutionalize the innovation. In many cases, innovations end up being less sustainable than expected or hoped for. In the long term, the disappointing revenues of innovations hamper the ability of higher education to remain future proof. Against the background of this need to increase the success of educational innovations, our colleague Klaartje van Genugten has explored the literature on innovations to reveal mechanisms that contribute to the sustainability of innovations. Her findings are synthesized in this report. They are particularly meaningful for directors of education programs, curriculum committees, educational consultants, and policy makers, who are generally in charge of defining the scope and set up of innovations. Her report offers a comprehensive view and provides food for thought on how we can strive for future-proof and sustainable innovations. I therefore recommend reading this report.
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The shift towards a more sustainable circular economy will require innovations. While SMEs can contribute to this development, financing innovations within SMEs is difficult. Various authors have not ed moreover that the concept of the circular economy has further increased the complexity of investment decisions concerning sustainable innovations, due to the multiple value creation and new business models involved . On the other hand
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The study of moral reasoning in relation to sustainable development is an emerging field within environmental education (EE) and education for sustainable development (ESD). The vignette method was used to evaluate the perception of the relationship between environmental and social issues in the Dutch upper elementary school children. This case study is placed within two broad areas of tension, namely between the need to address urgent environmental problems and to promote pluralistic democratic learning; and between the value of environment as an economic asset and deep ecology perspective. Results of this study indicate that the children are able to critically think about the moral dilemmas inherent in sustainable development and distinguish between different values in relation to environment. https://doi.org/10.1016/j.stueduc.2013.12.004 https://www.linkedin.com/in/helenkopnina/
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