With increase in awareness of the risks posed by climate change and increasingly severe weather events, attention has turned to the need for urgent action. While strategies to respond to flooding and drought are well-established, the effects - and effective response - to heat waves is much less understood. As heat waves become more frequent, longer-lasting and more intense, the Cool Towns project provides cities and municipalities with the knowledge and tools to become heat resilient. The first step to developing effective heat adaptation strategies is identifying which areas in the city experience the most heat stress and who are the residents most affected. This enables decision-makers to prioritise heat adaptation measures and develop a city-wide strategy.The Urban Heat Atlas is the result of four years of research. It contains a collection of heat related maps covering more than 40,000 hectares of urban areas in ten municipalities in England, Belgium, The Netherlands, and France. The maps demonstrate how to conduct a Thermal Comfort Assessment (TCA) systematically to identify heat vulnerabilities and cooling capacity in cities to enable decision-makers to set priorities for action. The comparative analyses of the collated maps also provide a first overview of the current heat resilience state of cities in North-Western Europe.
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While the optimal mean annual temperature for people and nations is said to be between 13 °C and 18 °C, many people live productive lives in regions or countries that commonly exceed this temperature range. One such country is Australia. We carried out an Australia-wide online survey using a structured questionnaire to investigate what temperature people in Australia prefer, both in terms of the local climate and within their homes. More than half of the 1665 respondents (58%) lived in their preferred climatic zone with 60% of respondents preferring a warm climate. Those living in Australia's cool climate zones least preferred that climate. A large majority (83%) were able to reach a comfortable temperature at home with 85% using air-conditioning for cooling. The preferred temperature setting for the air-conditioning devices was 21.7 °C (SD: 2.6 °C). Higher temperature set-points were associated with age, heat tolerance and location. The frequency of air-conditioning use did not depend on the location but rather on a range of other socio-economic factors including having children in the household, the building type, heat stress and heat tolerance. We discuss the role of heat acclimatisation and impacts of increasing air-conditioning use on energy consumption.
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A prototype of an indoor monoblock heat pump was tested at multiple ambient temperatures, to determine heat output, COP and the impact of defrosting events. Component efficiencies and the ice accumulation process were analysed. Options to improve performance were suggested.
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Lectorale redeboekje naar aanleiding van de intrede in het lectoraat Systeemintegratie in de energietransitie
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This report is a deliverable of the ESTRAC “Case Studies Regional Energy Transition” project, commissioned and funded by the research institute Energy Systems Transition Centre (ESTRAC). ESTRAC is a joint initiative of knowledge and research institutes in the Netherlands – including TNO, ECN (since April 2018 part of TNO), University of Groningen, Hanze University of Applied Sciences, the New Energy Coalition (NEC) and, more recently, PBL – as well as associated partners including Gasunie, Gasterra, EBN and NAM. In addition to funding from the ESTRAC partners, the Case Studies Regional Energy Transition project has benefitted from funding by the Green Deal program of the Dutch government.
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The domestic use of natural gas for heating is the prevalent option in the Netherlands. However, heat pumps will be mandatory in most Dutch households by 2026. Therefore, insights are needed in how citizens perceive this technology, by taking into account various societal, technological, economic, environmental, and political aspects. Our research offers a systematic investigation of the multiple viewpoints of heat pump users and their neighbors in Groningen, northern Netherlands. Using Q-methodology, we identified three distinct but interrelated and shared viewpoints: the realistic users, the hesitant neighbors and the enthusiastic advocates. All three shared viewpoints incorporate social influence and cognitive considerations, with the positive environmental impacts of heat pumps being highlighted in unison. Cognitive considerations relate mainly to technical and economic concerns. Social influence considerations often hint at the necessity of making prior agreements with the neighbors. We argue that the findings of this study can support policymakers toward the development of an integrated heat transition strategy.
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gains and internal gains from appliances,heat gains from occupants are an importantsource contributing to space heating indomestic buildings. It is necessary toconsciously consider all of these heat gainswhen aiming at accurately estimating theheat loss coefficient (HLC) of a building.Whilst sensor technology and algorithms areavailable to quantify the contribution of theheating system, solar gains and electricalappliances, the accurate estimation of thesensible heat gain from occupants ischallenging due to its stochastic character.
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We are confronted with increasingly pressing questions about economic and social transition. Things have to change, but how? We believe that this change is concerned with three closely related challenges, which we call the triple transition—climate, energy, and...
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Key takeaways from the project underscore the importance of fostering long-term collaborations between technical experts, communities, and institutional partners. By integrating technical innovation with human-centred design, the SUSTENANCE project has not only advanced renewable energy adoption but also established a framework for empowering communities to actively participate in sustainable energy transitions. Moving forward, the lessons learned, and solutions developed provide a solid foundation for addressing future challenges in energy system decarbonization and resilience.
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Paper presented at the International Sustainability Transitions conference 2018 (12-14 june) Manchester, UK. The Dutch agrifood regime is grinding to a halt. International economic pressures force Dutch farmers to further scale up and intensify their businesses, while food scandals and calamities as well as many and varied negative environmental impacts have led to an all-time low societal acceptance of the agrifood regime as well as a host of legislative measures to stifle further growth. Such a situation, in which regime pressures increasingly undermine the regime, represents a strong call for transition of the Dutch agrifood system.At the same time, new business models emerge: new players arrive, new logistical pathways come to the fore and innovative consumer and farmer relationships – food co-operatives – are forged. In a sense, the transition is already under way (cf. Hermans et al., 2010), with new business models forming an important backbone. However, the way forward is still a matter of great uncertainty and controversy: How do new business models relate to reconfiguring the Dutch agrifood system? We explore the hypothesis that different transition pathways put specific demands on the role of new business models. We studied various new business models in the Dutch agrifood system and their relations to three different transition pathways. Our research combines future exploration (backcasting) and analysis of new business models. In this research, we approach this question from two angles. First, we introduce a transition-oriented business model concept, in order to effectively link new business models to transition. Then we shortly touch upon the transition pathway typology introduced by Geels et al. (2016) and describe three different transition pathways for the Dutch agrifood system. We report on XX business models in each of these transition pathways. The paper ends with a discussion of the role of business models for different types of transition pathways.
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