211,413 research outputs found

    Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems

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    Modeling and simulation (M&S) is a well-known scientific tool that could be used to analyze a system or predict its behavior before physical construction. Despite being an established methodical tool in engineering, only a few review articles discussing emerging topics in M&S are available in open literature, especially for renewable and sustainable energy systems. This review critically examines recent advances in modeling and simulation in the energy sector, with few insights on its approaches, challenges, and prospects in selected renewable and sustainable energy systems (RSES). In addition, the concept of model validation in RSES is systematically discussed based on in-sample and out-of-sample approaches, while potential data sources with crucial elements for model validation in RSES are highlighted. Furthermore, three major groups of sustainable energy system models that play important roles in supporting national and international energy policies arepresented, to bring to light how the modeling of energy systems is evolving to meet its challenges in the design, operation, and control of RSES. This review also presents a comprehensive assessment of the current approaches, challenges, and prospects in modeling the behavior and evaluating the performance of RSES. Finally, areas that need further research and development in renewable and sustainable energy system modeling are also highlighted.https://www.elsevier.com/locate/rserpm2022Chemical Engineerin

    Environmental sustainability approaches and positive energy districts: A literature review

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    During the last decade, increasing attention has been paid to the emerging concept of Positive Energy Districts (PED) with the aim of pushing the transition to clean energy, but further research efforts are needed to identify design approaches optimized from the point of view of sustainable development. In this context, this literature review is placed, with a specific focus on environmental sustainability within innovative and eco-sustainable districts. The findings show that some sustainability aspects such as sustainable food, urban heat islands mitigation and co-impacts, e.g., green gentrification, are not adequately assessed, while fragmented thinking limits the potential of circularity. In this regard, targeted strategies should be developed. On the other hand, the Key Performance Indicators framework needs some integrations. In this direction, indicators were suggested, among those defined in the Sustainable Development Agenda, the main European standards and initiatives and the relevant literature experiences. Future outlooks should be directed to-wards: the harmonization of the Life Cycle Assessment in PEDs with reference to modeling assump-tions and analysis of multiple impacts; the development of dynamic environmental analyses taking into account the long-term uncertainty due to climate change, data availability and energy decar-bonization; the combination of Life Cycle Assessment and Key Performance Indicators based tech-niques, from a holistic thinking perspective, for a comprehensive design environment and the analysis of the contribution of energy flexibility approaches on the environmental impact of a project

    Actions and approaches for enabling Industry 5.0-driven sustainable industrial transformation: A strategy roadmap

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    Although Industry 4.0 was believed to promote sustainable development, it has ignored or misunderstood many prevailing sustainability concerns, which led to the emergence of the Industry 5.0 agenda. While the desirable sustainability values of Industry 5.0 are widely acknowledged, the knowledge of how this agenda can deliver sustainable transformation is lacking. The present study addresses this knowledge gap, explaining how Industry 5.0 transformation should be managed to facilitate sustainable development. Therefore, this study strives to model the underlying mechanism for enabling such transformation. The study conducted a content-centric review of the literature and identified 11 actions and approaches that serve as enablers of Industry 5.0 transformation. The study further conducted the interpretive structural modeling and structured the enablers as an interpretive model explaining steps needed for enabling Industry 5.0. Finally, the study developed the strategy roadmap for enabling Industry 5.0 transformation and sustainable development. Results emphasized stakeholder salience, highlighting the enabling role of stakeholder integration and collaboration in Industry 5.0 transformation. Proactive governmental support is the most driving enabler of Industry 5.0, whereas eco-innovation and sustainable value network reformation are among the most complex and hard-to-develop enablers. Results offer several implications for policymakers and practitioners, explaining the functionality of each approach and strategy necessary for Industry 5.0 transformation. The roadmap determines the sequential relationships among these approaches and strategies and identifies their optimal development sequence for enabling Industry 5.0 transformation synergistically. Results further identify the codependences among the Industry 5.0 transition enablers and highlight their interactions and complementarities

    Conceptualization of the use of Artificial Intelligence for Interdependencies Analysis in Requirements Engineering

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    The efficiency in product development is largely determined by the quality of the requirements and the ability of the product design and production planner to analyze them. Interdependencies between multiple requirements identified at an early stage enable a sustainable design of the product as well as the corresponding production system by increasing process efficiency as well as the effectiveness of development processes. However, the necessary analysis of complex interdependencies between requirements of a product and the corresponding production system is time-consuming, error-prone, and highly inefficient when performed manually. Current development processes are based on such manual processes for analyzing requirements in natural language and must therefore be adapted. This paper describes a methodical approach based on a semi-systematic literature review making the complexity of the interdependencies manageable by using existing approaches and methods in the field of model-based systems engineering (MBSE) as well as natural language processing (NLP). Thereby, a transition from informal requirements represented in natural language to analyzable and structured information, which enable interdependencies modeling for requirement chains, is described. A corresponding framework for analyzing interdependencies in the requirements engineering process is derived

    Implementing sustainability in product portfolio development through digitalization and a game-based approach

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    The aim of this research is to explore if and how digitalization and a game-based approach can improve the usability and implementation of sustainable design methods and tools in a product development process. Based on semi-systematic literature review, advantages and limitations of digitalization and game-based approaches in this context were identified. A previously developed method that guides the implementation of a strategic sustainability perspective in product portfolio development, was then selected and elements of digitalization and game-based approaches were incorporated in its four building blocks: double-flow scenario modeling, sustainability assessment, market success assessment, and portfolio development. The resulting prototype of this method was further adapted after feedback gathered through expert interviews and then tested in workshops with industry and academia. It was found that digitalization was especially useful for the scenario simulation, data management, and automatic visualization of results, while the benefits of the game-based approach were enhanced motivation, collaboration, and co-design of results and solutions. At the same time, drawbacks were discovered, for example related to decreased transparency of how results are calculated, overuse of visualization and extrinsic rewards, leading to lack of clarity and trust in the results. In conclusion, there are synergies between digitalization and game-based approaches that can improve the usability of sustainable design methods and tools, but extensive testing is recommended to avoid pitfalls that can lead to opposite effects. Moreover, recommendations were identified for how to include digitalization and a game-based approach, for example, to enable integration with other tools, maintenance and constant update, to explore the benefits of team-based assessments and collaboration, to add diversity and customization, and to link the game to the user\u27s context, application, expectations and requirements

    Energy management in microgrids with renewable energy sources: A literature review

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    Renewable energy sources have emerged as an alternative to meet the growing demand for energy, mitigate climate change, and contribute to sustainable development. The integration of these systems is carried out in a distributed manner via microgrid systems; this provides a set of technological solutions that allows information exchange between the consumers and the distributed generation centers, which implies that they need to be managed optimally. Energy management in microgrids is defined as an information and control system that provides the necessary functionality, which ensures that both the generation and distribution systems supply energy at minimal operational costs. This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution approaches, and simulation tools applied to both the interconnected and isolated microgrids. To manage the intermittent nature of renewable energy, energy storage technology is considered to be an attractive option due to increased technological maturity, energy density, and capability of providing grid services such as frequency response. Finally, future directions on predictive modeling mainly for energy storage systems are also proposed

    Towards a kansei-based user modeling methodology for eco-design

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    We propose here to highlight the benefits of building a framework linking Kansei Design (KD), User Centered Design (UCD) and Eco-design, as the correlation between these fields is barely explored in research at the current time. Therefore, we believe Kansei Design could serve the goal of achieving more sustainable products by setting up an accurate understanding of the user in terms of ecological awareness, and consequently enhancing performance in the Eco-design process. In the same way, we will consider the means-end chain approach inspired from marketing research, as it is useful for identifying ecological values, mapping associated functions and defining suitable design solutions. Information gathered will serve as entry data for conducting scenario-based design, and supporting the development of an Eco-friendly User Centered Design methodology (EcoUCD).ANR-ECOUS

    Review of Life Cycle Assessment in Agro-Chemical Processes

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    Life Cycle Assessment (LCA) is a method used to evaluate the potential impacts on the environment of a product, process, or activity throughout its life cycle. Today’s LCA users are a mixture of individuals with skills in different disciplines who want to evaluate their products, processes, or activities in a life cycle context. This study attempts to present some of the LCA studies on agro-chemical processes, recent advances in LCA and their application on food products and non-food products. Due to the recent development of LCA methodologies and dissemination programs by international and local bodies, use of LCA is rapidly increasing in agricultural and industrial products. The literatures suggest that LCA coupled with other environmental approaches provides much more reliable and comprehensive information to environmentally conscious policy makers, producers, and consumers in selecting sustainable products and production processes. For this purpose, a field study of LCA of biodiesel from Jatropha curcas has been taken as an example in the study. In the past, LCA has been applied primarily to products but recent literature suggests that it has also the potential as an analysis and design tool for processes and services. In general, all primary industries use energy and water resources and emit pollutants gases. LCA is a method to report on and analyze these resource issues across the life cycle of agro-chemical processes. This review has the importance as a first part of a research project to develop a life cycle assessment methodology for agro-chemical industries. It presents the findings of a literature review that focuses on LCA of agriculture and chemical engineering literatur
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