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REVIEW article

Front. Energy Effic.
Sec. Energy Efficiency in Buildings and Urban Environments
Volume 2 - 2024 | doi: 10.3389/fenef.2024.1430647
This article is part of the Research Topic Climate Change Challenge in Energy Efficiency 2023 View all articles

Identification of Climate Adaptive Multivariate Optimization Methodologies for Design of NZEB in India -A Holistic Review

Provisionally accepted
Pushpendra Chaturvedi Pushpendra Chaturvedi *Nand Kumar Nand Kumar Ravita Lamba Ravita Lamba
  • Malaviya National Institute of Technology, Jaipur, Jaipur, India

The final, formatted version of the article will be published soon.

    Net zero energy building (NZEB) is an efficient approach to pull up the world's sustainable development and climate mitigation. This paper provides a comprehensive review of multiobjective optimization (MOO) based case studies of NZEB design. The critical analysis focused on the "3Ps" criterion of sustainability, which encompasses social, environmental, and economical aspects with protecting the people, planet, and profit. This study identifies the gaps in exploring MOO techniques-based case studies for decision-making of NZEB design in India and its requirements. Moreover, it demonstrates various passive-design strategies, energyefficient technologies, and renewable energy and their impact on occupant comfort, energy model, and building life cycle. It presents global needs and requirements of NZEB's, definitions of NZEB in different countries, and their policies. This review suggests a four-step methodological framework for NZEB design in India. It provides the potential and reliability of various algorithms, tools, and simulation engines to solve building problems. The presented framework can aid designers in the decision-making of NZEB designing, refurbishment, and renovation. Moreover, this work highlights the future research direction and potential challenges for implementing the proposed framework in India.

    Keywords: Net zero energy building, multi-objective optimization, Climate Change, sustainability, Building energy simulation

    Received: 10 May 2024; Accepted: 23 Aug 2024.

    Copyright: © 2024 Chaturvedi, Kumar and Lamba. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Pushpendra Chaturvedi, Malaviya National Institute of Technology, Jaipur, Jaipur, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.