The economic recession has hit especially hard the residential building sector in the EU region, e.g., the number of the housing completions has decreased -49% and the total residential output has been squeezed down by -24% between 2007 and 2014 (Euroconstruct, 2015). In turn, the aim of our paper is to suggest a set of radical, novel programmes for developing the national residential building sectors within EU member countries up to 2025. We have applied the framework of strategic niche management (SNM) to the diagnoses of the current portfolios of the innovation, R&D programs in our two member country contexts. In the case of the Northern Finland, the prime example is Hiukkavaara, the largest district to be built in the City of Oulu. Homes will be constructed for 20,000 new residents. Hiukkavaara is a model for climate- conscious design in the northern hemisphere. Energy and materials are conserved, nature is valued and human beings adapt to their environment. One sub-programme involves Future Buildings and Renewable Energy Project. In the case of the Netherlands, the prime example is Energiesprong (Energy Leap), i.e., the innovation programme commissioned by the Dutch Ministry of the Interior. The aim is to make buildings energy-neutral and boost large-scale initiatives. The sub-programmes are targeting homes owned by housing associations, privately owned homes, office buildings, shops and care institutions. This programme is about ensuring new supply by encouraging companies to package a variety of technical sub-solutions, full services and financing options as well as about asking clients to put out tenders and ask for quotes in novel ways, with the government making changes to the rules and the regulations. Experiences on which the Dutch case in this paper focuses are sub-programmes for residential buildings, which include de Stroomversnelling, LALOG and Ons Huis Verdient Het. Based on the emerging Finnish and Dutch evidence, we are suggesting key elements to be incorporated into future national residential programmes within EU member countries on: (1) radical direction with balanced stakeholder groups, trustworthy advocates, contextual goal-setting and barriers management, (2) radical networking with entrepreneurial roles and causal links, novel expertise, transparent choices and digital platforms and (3) radical learning processes to arrive at better informed markets on user preferences, co-innovating, new rules and regulations, higher performance/price ratios, higher quality, new roles and responsibilities assignments.
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Dealing with and maintaining high-quality standards in the design and construction phases is challenging, especially for on-site construction. Issues like improper implementation of building components and poor communication can widen the gap between design specifications and actual conditions. To prevent this, particularly for energy-efficient buildings, it is vital to develop resilient, sustainable strategies. These should optimize resource use, minimize environmental impact, and enhance livability, contributing to carbon neutrality by 2050 and climate change mitigation. Traditional post-occupancy evaluations, which identify defects after construction, are impractical for addressing energy performance gaps. A new, real-time inspection approach is necessary throughout the construction process. This paper suggests an innovative guideline for prefabricated buildings, emphasizing digital ‘self-instruction’ and ‘self-inspection’. These procedures ensure activities impacting quality adhere to specific instructions, drawings, and 3D models, incorporating the relevant acceptance criteria to verify completion. This methodology, promoting alignment with planned energy-efficient features, is supported by BIM-based software and Augmented Reality (AR) tools, embodying Industry 4.0 principles. BIM (Building Information Modeling) and AR bridge the gap between virtual design and actual construction, improving stakeholder communication and enabling real-time monitoring and adjustments. This integration fosters accuracy and efficiency, which are key for energy-efficient and nearly zero-energy buildings, marking a shift towards a more precise, collaborative, and environmentally sensible construction industry.
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Abstract: Technological innovation in the healthcare sector is increasing, but integration of information technology (IT) in the care process is difficult. Healthcare workers are important agents in this IT integration. The purpose of this study is to explore factors that feed motivation to use IT. Self-determination theory (SDT) is applied to study how motivational factors impact effective IT use among frontline caregivers in residential care settings. As the team is very important to these caregivers, the team is our unit of analysis. In an embedded single case study design, interviews were conducted with all nine members of a team effectively using IT. All three basic psychological needs from SDT - autonomy, competence and relatedness - were found to have impact on effective IT use, though autonomy was primarily experienced at team level. Conversely, the effective use of an IT collaboration tool influences relatedness.
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Background The experiences of residents who have communication difficulties such as dysphasia are largely absent from the literature. Aim To illuminate the everyday experiences of four residents with severe communication difficulties living in a residential care setting in the Netherlands. Methodology & Methods A collective case study methodology was used. Seventy-five hours of observation, interview and documentary data was gathered over six weeks. Alternative strategies of communication were developed to enable the co-creation of dialogue between participants and researcher. For example, a participant who could not talk used intentionally created artwork to share her ideas with the researcher. Findings Participants' daily experiences were characterised by struggling against the constraints of the residential setting: having to wait, having unmet needs, experiencing vulnerability and uncertainty. Participants' communication difficulties exacerbated these constraints. Their experiences of struggling were sometimes ameliorated by significant social contact with family or particular staff members, and engaging in enjoyable activities. Occasionally the experiences of enjoying the here-and-now, and being 'seen' as a person by the other, would create beautiful moments in which truly person centred engagement would occur. These moments were neither articulated nor recorded, and were thus invisible after they had occurred. Similarly, the experiences of struggling against the constraints were neither acknowledged nor recorded. Significant experiences in the lives of these four residents were therefore invisible to others. The unifying theme representing the participants' daily experiences was: That which goes unsaid. Discussion It was necessary to develop communication strategies which would by-pass the researcher's assumptions and enable participants to introduce their own ideas and opinions. This ongoing process of co-creation of dialogue required work from, and trust between, participants and researcher. What is new? Expressly seeking the views of residents with communication difficulties Successfully using process consent with participants in this situation Using intentionally created artwork during data gathering in this context What has regional, national or international relevance? The findings indicate that people with communication difficulties may not receive optimal care in residential settings in the Netherlands. Methods are described which could be used by practitioners in their everyday work, and which show facilitators or practice developers how they can help carers to engage in more effective communication with this kind of resident. Additionally, this research contributes to the international discussion about ethical participation of vulnerable people in research.
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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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Presentation for the Anton de Kom University of Suriname. Residential real estate in the Netherlands
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To adequately deal with the challenges faced within residential care for older people, such as the increasing complexity of care and a call for more person-centred practices, it is important that health care providers learn from their work. This study investigates both the nature of learning, among staff and students working within care for older people, and how workplace learning can be promoted and researched. During a longitudinal study within a nursing home, participatory and democratic research methods were used to collaborate with stakeholders to improve the quality of care and to promote learning in the workplace. The rich descriptions of these processes show that workplace learning is a complex phenomenon. It arises continuously in reciprocal relationship with all those present through which both individuals and environment change and co-evolve enabling enlargement of the space for possible action. This complexity perspective on learning refines and expands conventional beliefs about workplace learning and has implications for advancing and researching learning. It explains that research on workplace learning is itself a form of learning that is aimed at promoting and accelerating learning. Such research requires dialogic and creative methods. This study illustrates that workplace learning has the potential to develop new shared values and ways of working, but that such processes and outcomes are difficult to control. It offers inspiration for educators, supervisors, managers and researchers as to promoting conditions that embrace complexity and provides insight into the role and position of self in such processes.
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Buildings with innovative technologies and architectural solutions are needed as a means of support for future nursing homes alongside adequate care services. This study investigated how various groups of stakeholders from healthcare and technology envision the nursing home of the future in the presumed perspective of residents, care professionals and technical staff. This qualitative study gathered data via ten simultaneous monodisciplinary focus group sessions with 95 professional stakeholders. The sessions yielded eight main themes: person and well-being; relatives and interaction; care technology; safety and security; interior design, architecture and the built environment; vision and knowledge; communication; and maintenance and operation. These themes can be used for programming future nursing homes, and for prioritising design and technological solutions. The views between the groups of stakeholders are to a large extent similar, and the personal needs of the residents are the most prominent factor for practice.
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An effective implementation approach is crucial for successful integration of structured risk assessment instruments into practice. This qualitative study explored barriers and facilitators to the implementation of the Short-Term Assessment of Risk and Treatability: Adolescent Version (START:AV) in a Dutch residential youth care service. Perceptions of staff members from various disciplines were gathered through focus group interviews at three consecutive occasions. After inductive coding of the interview extracts using thematic analysis, the identified codes were linked to the consolidated framework for implementation research. Through this framework, factors that influence an implementation project can be organized into multiple domains and constructs. In the present study, staff members described implementation barriers related to characteristics of the risk assessment instrument, staff, and the implementation process. In addition, features of the setting were frequently mentioned as hindering the implementation, such as hierarchy, culture, communication, as well as implementation climate and readiness for change. Staff members also identified multiple facilitators, such as experienced advantages of the START:AV compared to the previous risk assessment practice and positive beliefs about the instrument. The article concludes with recommendations for successful implementation of structured risk assessment instruments in forensic-clinical practice.
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Background: Adverse Childhood Experiences (ACEs) are an overlooked risk factor for behavioural, mental and physical health disparities in children with intellectual disabilities (ID) and borderline intellectual functioning (BIF). Aims: To gain insight into the presence of the 10 original Wave II ACEs and family context risk variables in a convenience sample of children with ID and BIF in Dutch residential care. Methods and procedures: 134 case-files of children with ID (n = 82) and BIF (n = 52) were analysed quantitatively. Outcomes and results: 81.7 % of the children with ID experienced at least 1 ACE, as did 92.3 % of the children with BIF. The average number of ACEs in children with ID was 2.02 (range 0???? 8) and in children with BIF 2.88 (range 0???? 7). About 20 % of the children with moderate and mild ID experienced 4 ACEs or more. Many of their families faced multiple and complex problems (ID: 69.5 %; BIF 86.5 %). Multiple regression analysis indicated an association between family context risk variables and the number of ACEs in children. Conclusions and implications: The prevalence of ACEs in children with ID and BIF appears to be considerably high. ACEs awareness in clinical practice is vital to help mitigate negative outcomes.
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