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  <title>REPOSIT Community: Research Output from HAW Hamburg / Forschungsoutput aus der HAW Hamburg</title>
  <link rel="alternate" href="https://hdl.handle.net/20.500.12738/1" />
  <subtitle>Research Output from HAW Hamburg / Forschungsoutput aus der HAW Hamburg</subtitle>
  <id>https://hdl.handle.net/20.500.12738/1</id>
  <updated>2026-06-22T07:44:19Z</updated>
  <dc:date>2026-06-22T07:44:19Z</dc:date>
  <entry>
    <title>Examining energy efficiency practices in office buildings through the lens of LEED, BREEAM, and DGNB certifications</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.12738/19463" />
    <author>
      <name>Gasparetto Rebelatto, Bianca</name>
    </author>
    <author>
      <name>Lange Salvia, Amanda</name>
    </author>
    <author>
      <name>Brandli, Luciana Londero</name>
    </author>
    <author>
      <name>Leal Filho, Walter</name>
    </author>
    <id>https://hdl.handle.net/20.500.12738/19463</id>
    <updated>2026-06-19T14:23:39Z</updated>
    <published>2026-06-19T14:23:38Z</published>
    <summary type="text">Title: Examining energy efficiency practices in office buildings through the lens of LEED, BREEAM, and DGNB certifications
Authors: Gasparetto Rebelatto, Bianca; Lange Salvia, Amanda; Brandli, Luciana Londero; Leal Filho, Walter
Abstract: Energy accounts for a significant share of carbon emissions, and buildings play a substantial role in this by contributing to both direct and indirect emissions throughout their lifecycle. Enhancing energy efficiency in buildings is a strategy to mitigate these impacts. The main goal of this review is to uncover solutions, trends, and examples of good practices in the field of office buildings. It presents effective cases and a SWOT analysis of LEED, BREEAM, and DGNB certifications, highlighting their contributions to energy efficiency in buildings on an international scale. The paper identifies and outlines similarities and differences between each methodology used to achieve energy efficiency in different buildings and contexts. The findings may allow new ways to improve access and obtain results regarding energy efficiency, thereby supporting building owners and companies in finding more effective solutions. The research highlights the necessity for continual enhancements in these systems, which should involve addressing economic factors, conducting post-occupancy evaluations, and considering lifecycle perspectives. The recommendations encompass standardizing practices, considering costs, conducting regular revisions, managing materials and resources, and incorporating occupancy measures.</summary>
    <dc:date>2026-06-19T14:23:38Z</dc:date>
  </entry>
  <entry>
    <title>Exploring sustainable development goal research trajectories in small island developing states</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.12738/19462" />
    <author>
      <name>Raman, Raghu</name>
    </author>
    <author>
      <name>Leal Filho, Walter</name>
    </author>
    <author>
      <name>Martin, Hector</name>
    </author>
    <author>
      <name>Ray, Suparna</name>
    </author>
    <author>
      <name>Das, Dayana</name>
    </author>
    <author>
      <name>Nedungadi, Prema</name>
    </author>
    <id>https://hdl.handle.net/20.500.12738/19462</id>
    <updated>2026-06-19T14:13:57Z</updated>
    <published>2026-06-19T14:12:31Z</published>
    <summary type="text">Title: Exploring sustainable development goal research trajectories in small island developing states
Authors: Raman, Raghu; Leal Filho, Walter; Martin, Hector; Ray, Suparna; Das, Dayana; Nedungadi, Prema
Abstract: This study investigates the alignment of research on small island developing states (SIDSs) with sustainable development goals (SDGs), identifying key focus areas, interdisciplinary connections, research gaps, thematic clusters, and insights from case studies. By employing a mixed methods research design that combines quantitative scientometric analysis with qualitative case studies, this unique study examines the nexus between SIDS research and its contribution to SDGs. The findings reveal that SDG 13 (climate action) and SDG 14 (life below water) dominate SIDS research, emphasizing the need to address climate challenges and marine biodiversity. Economic aspects are underscored by SDG 8 (decent work and economic growth) and SDG 12 (responsible consumption and production), while urban development and inequality are addressed through SDG 11 (sustainable cities and communities) and SDG 10 (reduced inequalities). Renewable energy and food security are focal points in SDG 7 (affordable and clean energy) and SDG 2 (zero hunger). Moderate research outputs in SDG 3 (good health and well-being) and SDG 15 (life on land) suggest a holistic approach, while lower activity in SDGs 16 (peace), 6 (clean water), 4 (education), and 5 (gender) presents opportunities for further exploration. SIDS research is highly interdisciplinary, as seen through three distinct SDG networks: foundational social goals, economic and environmental objectives, and environmental preservation. The thematic clusters in SIDS research include environmental challenges and adaptation, public health, and socioeconomic development, and energy policy and environmental economics. Case studies from various SIDSs illustrate the complex interplay between environmental sustainability, economic development, and social well-being, highlighting the importance of tailored approaches, international cooperation, and local community engagement. These findings underscore the need for integrated research strategies to address the complex challenges of SIDSs, emphasizing climate action, sustainable economic practices, and comprehensive development approaches to achieve the SDGs effectively.</summary>
    <dc:date>2026-06-19T14:12:31Z</dc:date>
  </entry>
  <entry>
    <title>Applications of robotics in sustainable development</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.12738/19461" />
    <author>
      <name>Leal Filho, Walter</name>
    </author>
    <author>
      <name>Yang, Peter</name>
    </author>
    <author>
      <name>Li, Chunlan</name>
    </author>
    <author>
      <name>Cataldi, Marcio</name>
    </author>
    <author>
      <name>Lache, Ivanovich Salcedo</name>
    </author>
    <id>https://hdl.handle.net/20.500.12738/19461</id>
    <updated>2026-06-19T13:58:54Z</updated>
    <published>2026-06-19T13:58:33Z</published>
    <summary type="text">Title: Applications of robotics in sustainable development
Authors: Leal Filho, Walter; Yang, Peter; Li, Chunlan; Cataldi, Marcio; Lache, Ivanovich Salcedo
Abstract: Robotics is a fast‐growing area with many implications for sustainable development. Thanks to its scope and potential, it may be regarded as a transformative field which, under a sustainability perspective, may be deployed and help to address global and major problems such as climate change, resource depletion, and social inequality. Based on the need for studies focusing on the nexus robotics‐sustainable development, this paper investigates the contribution of robotics for promoting sustainability in sectors such as agriculture, renewable energy, waste management, and disaster response to provide an account of the potential for sustainable practices for key sustainability. The motivation for this work derives from the need for innovative, scalable robotics to address the United Nations Sustainable Development Goals (SDGs) where robotics could help improve efficiency, reduce environmental impact, and improve quality of life in a more efficient manner. The aims of this paper are: (1) to investigate the current implementation of robotics tools in sustainability efforts, (2) to assess their environmental, economic, and social advantages, and (3) to examine the challenges and ethical requirements in their use. The paper explains how robotic technologies—from precision agriculture‐based autonomous drones, automatic sorting robots for recycling, and AI‐driven maintenance for renewable infrastructure—may contribute to sustainable development by studying their features and identifying new trends.</summary>
    <dc:date>2026-06-19T13:58:33Z</dc:date>
  </entry>
  <entry>
    <title>Large language models in sustainable energy systems : a systematic review on modeling, optimization, governance, and alignment to sustainable development goals</title>
    <link rel="alternate" href="https://hdl.handle.net/20.500.12738/19460" />
    <author>
      <name>Alka, T. A.</name>
    </author>
    <author>
      <name>Suresh, M.</name>
    </author>
    <author>
      <name>Mandal, Santanu</name>
    </author>
    <author>
      <name>Leal Filho, Walter</name>
    </author>
    <author>
      <name>Raman, Raghu</name>
    </author>
    <id>https://hdl.handle.net/20.500.12738/19460</id>
    <updated>2026-06-19T14:03:27Z</updated>
    <published>2026-06-19T13:36:40Z</published>
    <summary type="text">Title: Large language models in sustainable energy systems : a systematic review on modeling, optimization, governance, and alignment to sustainable development goals
Authors: Alka, T. A.; Suresh, M.; Mandal, Santanu; Leal Filho, Walter; Raman, Raghu
Abstract: Sustainable energy systems (SESs) support intelligent modeling, automation, and governance that enable energy access, infrastructure innovation, and climate resilience. Despite their potential, their integration with large language models (LLMs) raises concerns regarding energy intensity, transparency, equity, and regulation. This study adopts a mixed-methods review combining a BERTopic-based thematic analysis and case-based synthesis to examine applications of LLMs in energy modeling, optimization, etc., and to assess their alignment with the United Nations Sustainable Development Goals. These applications support SDG 7 (Affordable and Clean Energy) by improving access to energy knowledge and decision support, SDG 9 (Industry, Innovation and Infrastructure) through intelligent and scalable digital infrastructure, and SDG 13 (Climate Action) by climate-responsive planning and operational efficiency. The findings reveal that modular, agent-based LLM workflows enhance energy modeling and regulatory compliance. However, sustainability trade-offs necessitate responsible Artificial Intelligence (AI) governance emphasizing transparency, ethical design, and inclusivity. This review informs policy and practice by suggesting that LLMs offer potential value for sustainable energy application deployment within responsible AI governance frameworks that emphasize ethical design, accountability, and equitable access. The study provides future research directions using the ADO (antecedents–decisions–outcomes) framework, emphasizing regulatory readiness, ethical design, and inclusive governance aligned with SDGs 7, 9, and 13, among others.</summary>
    <dc:date>2026-06-19T13:36:40Z</dc:date>
  </entry>
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