In discussions on smart grids, it is often stated that residential end-users will play a more active role in the management of the electric power system. Experience in practice on how to empower end-users for such a role is however limited. This paper presents a field study in the first phase of the PowerMatching City project in which twenty-two households were equipped with demand-response-enabled heating systems and white goods. Although end-users were satisfied with the degree of living comfort afforded by the smart energy system, the user interface did not provide sufficient control and energy feedback to support an active contribution to the balancing of supply and demand. The full potential of demand response was thus not realized. The second phase of the project builds on these findings by design, implementation and evaluation of an improved user interface in combination with two demand response propositions. © 2013 IEEE.
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Accurate modeling of end-users’ decision-making behavior is crucial for validating demand response (DR) policies. However, existing models usually represent the decision-making behavior as an optimization problem, neglecting the impact of human psychology on decisions. In this paper, we propose a Belief-Desire-Intention (BDI) agent model to model end-users’ decision-making under DR. This model has the ability to perceive environmental information, generate different power scheduling plans, and make decisions that align with its own interests. The key modeling capabilities of the proposed model have been validated in a household end-user with flexible loads
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Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for developing personalized apps. In this paper, we describe the design and development of the Playful data-driven Active Urban Living (PAUL): a personalized PA application.Methods: The two-phased development process of the PAUL apps rests on principles from the behavior change model; the Integrate, Design, Assess, and Share (IDEAS) framework; and the behavioral intervention technology (BIT) model. During the first phase, we explored whether location-specific information on performing PA in the built environment is an enhancement to a PA app. During the second phase, the other modules of the app were developed. To this end, we first build the theoretical foundation for the PAUL intervention by performing a literature study. Next, a focus group study was performed to translate the theoretical foundations and the needs and wishes in a set of user requirements. Since the participants indicated the need for reminders at a for-them-relevant moment, we developed a self-learning module for the timing of the reminders. To initialize this module, a data-mining study was performed with historical running data to determine good situations for running.Results: The results of these studies informed the design of a personalized mobile health (mHealth) application for running, walking, and performing strength exercises. The app is implemented as a set of modules based on the persuasive strategies “monitoring of behavior,” “feedback,” “goal setting,” “reminders,” “rewards,” and “providing instruction.” An architecture was set up consisting of a smartphone app for the user, a back-end server for storage and adaptivity, and a research portal to provide access to the research team.Conclusions: The interdisciplinary research encompassing psychology, human movement sciences, computer science, and artificial intelligence has led to a theoretically and empirically driven leisure time PA application. In the current phase, the feasibility of the PAUL app is being assessed.
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Thermoset materials find use in almost all industrial sectors, especially where lightweight, stiffness, resistance and dimensional stability are key performance requirements. However, traditional thermosets suffer from several drawbacks: they are made of fossil-based non-reversible polymers and toxic monomers; more importantly, thermosetting materials are virtually neither recyclable nor reprocessable, due to their crosslinked microstructure. Currently, most thermoset materials are incinerated or accumulated in landfills at the end of their life. Landfill waste degrades to liquids known as landfill leachates that lead to health and environmental problems. A significant part of these wastes originate from thermoset materials used in paints, coatings, sealants and adhesives applied as a thin film to all sorts of surfaces. These unrecyclable materials contribute to nano- and microplastic formation. Despite many efforts in the past years in this context, substantial further developments are required. Production of thermosets from biobased feedstocks using safe and sustainable-by-design approaches is therefore crucial to address the well-being of people and to have a healthy planet.SMARTCASE aims to develop safe and circular carbohydrate-derived reactive polyester resins for coatings, adhesives, sealants and elastomers for application in the building and interior sectors. The new two-component (‘2K’) formulations are designed to replace currently used fossil-based epoxy and urethane resins by biobased and GHS-label-friendly alternatives. This not only improves the safety of workers and end-users of these materials, but also reduces the dependency on fossil resources and facilitates the transition towards abundantly available biobased raw materials.A new class of biobased polyesters resins and thermosets will be designed in SMARTCASE using safe and sustainable by design approaches allowing for more sustainable and feasible end-of-life options. Biobased polyesters in general meet the requirements of circularity, as they can be efficiently recycled back to their monomers at end-of-life. Accordingly, the recycling and degradation behavior of the developed formulations under thermal, mechanical and chemical conditions and their biodegradation will be studied. Hence, the output of the project contributes to the main goals of the NGF BioBased Circular program.The project follows a value-cycle approach with a multi-disciplinary and balanced consortium of industrial representatives from every part of the value chain, from carbohydrate feedstock suppliers to resin formulators and end users. This enables a system innovation instead of a (single) product innovation. The following results are expected within 10 years (mostly by the end of the project ): - Sustainable feedstock platform for novel biobased (BB) platform chemicals- Access to novel monomers and building blocks- Access to safe and novel polyester-based resin components- Access to high performance, safe and circular thermoset formulations- Scale-up of the best thermoset formulations- Validated performance of novel thermoset formulations in industrial applications- Sustainable and circular-by-design thermoset formulations with defined end-of-life solutions - Data on LCA, TEA, toxicity and sustainability- Engaged stakeholders and effective dissemination of project outcomes By ensuring these results are implemented by industrial partners both during and after the project, they will benefit not only stakeholders, chemical industries, and consortium partners but also the general public.
