Decentralised renewable energy production in the form of fuels or electricity can have large scale deployment in future energy systems, but the feasibility needs to be assessed. The novelty of this paper is in the design and implementation of a mixed integer linear programming optimisation model to minimise the net present cost of decentralised hydrogen production for different energy demands on neighbourhood urban scale, while simultaneously adhering to European Union targets on greenhouse gas emission reductions. The energy system configurations optimised were assumed to possibly consist of a variable number or size of wind turbines, solar photovoltaics, grey grid electricity usage, battery storage, electrolyser, and hydrogen storage. The demands served are hydrogen for heating and mobility, and electricity for the households. A hydrogen residential heating project currently being developed in Hoogeveen, The Netherlands, served as a case study. Six scenarios were compared, each taking one or multiple energy demand services into question. For each scenario the levelised cost of hydrogen was calculated. The lowest levelised cost of hydrogen was found for the combined heating and mobility scenario: 8.36 €/kg for heating and 9.83 €/kg for mobility. The results support potential cost reductions of combined demand patterns of different energy services. A sensitivity analysis showed a strong influence of electrolyser efficiency, wind turbine parameters, and emission reduction factor on levelised cost. Wind energy was strongly preferred because of the lower cost and the low greenhouse gas emissions, compared to solar photovoltaics and grid electricity. Increasing electrolyser efficiency and greenhouse gas emission reduction of the used technologies deserve further research.
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In this report, the details of an investigation into the e ect of the low induction wind turbines on the Levelised Cost of Electricity (LCoE) in a 1GW o shore wind farm is outlined. The 10 MW INNWIND.EU conventional wind turbine and its low induction variant, the 10 MW AVATAR wind turbine, are considered in a variety of 10x10 layout configurations. The Annual Energy Production (AEP) and cost of electrical infrastructure were determined using two in-house ECN software tools, namely FarmFlow and EEFarm II. Combining this information with a generalised cost model, the LCoE from these layouts were determined. The optimum LCoE for the AVATAR wind farm was determined to be 92.15 e/MWh while for the INNWIND.EU wind farm it was 93.85 e/MWh. Although the low induction wind farm o ered a marginally lower LCoE, it should not be considered as definitive due to simple nature of the cost model used. The results do indicate that the AVATAR wind farms require less space to achieve this similar cost performace, with a higher optimal wind farm power density (WFPD) of 3.7 MW/km2 compared to 3 MW/km2 for the INNWIND.EU based wind farm.
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Challenges that surveys are facing are increasing data collection costs and declining budgets. During the past years, many surveys at Statistics Netherlands were redesigned to reduce costs and to increase or maintain response rates. From 2018 onwards, adaptive survey design has been applied in several social surveys to produce more accurate statistics within the same budget. In previous years, research has been done into the effect on quality and costs of reducing the use of interviewers in mixed-mode surveys starting with internet observation, followed by telephone or face-to-face observation of internet nonrespondents. Reducing follow-ups can be done in different ways. By using stratified selection of people eligible for follow-up, nonresponse bias may be reduced. The main decisions to be made are how to divide the population into strata and how to compute the allocation probabilities for face-to-face and telephone observation in the different strata. Currently, adaptive survey design is an option in redesigns of social surveys at Statistics Netherlands. In 2018 it has been implemented in the Health Survey and the Public Opinion Survey, in 2019 in the Life Style Monitor and the Leisure Omnibus, in 2021 in the Labour Force Survey, and in 2022 it is planned for the Social Coherence Survey. This paper elaborates on the development of the adaptive survey design for the Labour Force Survey. Attention is paid to the survey design, in particular the sampling design, the data collection constraints, the choice of the strata for the adaptive design, the calculation of follow-up fractions by mode of observation and stratum, the practical implementation of the adaptive design, and the six-month parallel design with corresponding response results.
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Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.
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The significance of effective interprofessional teamwork to improve the quality of care has been widely recognised. Effective interprofessional teamwork calls on good collaboration between professionals and patients, coordination between professionals, and the development of teamwork over time. Effective development of teams also requires support from the wider organisational context. In a Dutch village, healthcare professionals work closely together, and mutual consultations as well as interprofessional meetings take place on a regular basis. The network was created as a precondition for sustainable interprofessional teamwork in elderly care. However, several external barriers were experienced regarding the supportive structure and cooperative attitude of the healthcare insurer and municipality. The aim of the article is to examine these experience-based issues regarding internal organisation, perspective, and definition of effective teamwork. Complicating factors refer to finding the right key figures, and the different perspectives on team development and team effectiveness. Our conclusion is that the organisation of healthcare insurance companies needs to implement fundamental changes to facilitate an interprofessional care approach. Furthermore, municipalities should work on their vision of the needs and benefits of a fruitful collaboration with interprofessional healthcare teams. The challenge for healthcare teams is to learn to speak the language of external partners. To support the development of interprofessional teams, external parties need to recognise and trust in a shared aim to provide quality of care in an efficient and effective way.
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1 Maternity services across Europe during the pandemic has undergone changes to limit virus transmission; however, many changes are not evidence-based. 2 Although these changes were introduced to keep women, babies and healthcare staff safe, the exclusion of companions and the separation of mothers and babies is particularly antithetical to a human rights-based approach to quality care. 3 A poll of COST Action 18211 network members showed that inconsistency in the application of restrictions was high, and there were significant deviations from the recommendations of authoritative bodies. 4 Concerns have emerged that restrictions in practice may have longer term negative impacts on mothers and their families and, in particular, may impact on the long-term health of babies. 5 When practice changes deviate from evidence-based frameworks that underpin quality care, they must be monitored, appraised and evaluated to minimise unintended iatrogenic effects.
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Massive Open Online Courses (MOOCs) have continued to attract considerable media coverage as governments and universities respond to the open and online education movement. Three years after the MOOCs began its rise, it is clear that the HE institutions in the EU are gaining speed in this movement. This report on MOOCs intends to contribute to literature on MOOCs in Europe. Its specific aim is to present data on the perception and objectives of European higher education institutions on MOOCs and the main drivers behind the MOOC movement. In addition, the report makes a comparison with similar studies conducted in the United States in 2013 and 2014 and to data produced by the European University Association (EUA) between October and December 2013. The report made clear that involvement is still increasing, but also that arguments to get involved differ from those in the US. The main source is a survey conducted by the project HOME - Higher education Online: MOOCs the European way, partly funded by the European Commission’s Lifelong Learning Programme. The survey was conducted in October - December 2014. In total 67 institutions responded out of 22 European countries representing in total about 2.8 millions of students.
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The environment of the(Dutch) building industry is increasingly turbulent. There are many cges for the building industry. Innovative tendering, better marketing, openness and transparency are examples of this. A strong reduction in failure costs (estimated at between 10 and 25% of the total costs) and an increase in quality are also necessary. Lastly, the declining inflow of young people has to be mentioned. The image of the building industry is not particularly good and students prefer to choose other industries. The building industry therefore has to change and, so far, everyone agrees. Evidently both the building industry and its environment are very keen to change; the sincere will is there, and money and energy are available, but it seems that efforts are not proceeding in a very planned or coordinated manner at present. And this is causing fragmentation and, therefore, sub optimisation. How does sectoral change proceed and how is this process to be managed? That is the central question in this paper.
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At a time when the population is ageing and most people choose to live in their own home for as long as possible, it is important to consider various aspects of supportive and comfortable environments for housing. This study, conducted in South Australia, aims to provide information about the links between the type of housing in which older people live, the weather and occupants’ heating and cooling behaviours as well as their health and well-being. The study used a Computer-Assisted Telephone Interviewing (CATI) system to survey 250 people aged 65 years and over who lived in their own home. The respondents were recruited from three regions representing the three climate zones in South Australia: semi-arid, warm temperate and temperate. The results show that while the majority of respondents reported being in good health, many lived in dwellings with minimal shading and no wall insulation and appeared to rely on the use of heaters and coolers to achieve thermally comfortable conditions. Concerns over the cost of heating and cooling were shared among the majority of respondents and particularly among people with low incomes. Findings from this study highlight the importance of providing information to older people, carers, designers and policy makers about the interrelationships between weather, housing design, heating and cooling behaviours, thermal comfort, energy use and health and well-being, in order to support older people to age in place independently and healthily. https://doi.org/10.1016/j.buildenv.2019.03.023 LinkedIn: https://www.linkedin.com/in/jvhoof1980/
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