Equitable deep decarbonization: A framework to facilitate energy justice-based multidisciplinary modeling

被引:13
|
作者
Spurlock, C. Anna [1 ]
Elmallah, Salma [2 ]
Reames, Tony G. [3 ,4 ]
机构
[1] Lawrence Berkeley Natl Lab, 1 Cyclotron Rd,Mailstop 90R2002, Berkeley, CA 94720 USA
[2] Lawrence Berkeley Natl Lab, 1 Cyclotron Rd,Mailstop 90R4000, Berkeley, CA 94720 USA
[3] United Stated Dept Energy, Off Energy Justice Policy & Anal, 1000 Independence Ave SW, Washington, DC 20585 USA
[4] United Stated Dept Energy, Off Econ Impact & Divers, 1000 Independence Ave SW, Washington, DC 20585 USA
关键词
Energy justice; Deep decarbonization; Energy transitions; Restorative justice; Climate change; Distributional analysis;
D O I
10.1016/j.erss.2022.102808
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Persistent, systemic harms have resulted in inequalities in wealth distribution, energy insecurity, infrastructure reliability, heat island exposure, and preexisting health conditions, all of which have exacerbated climate change driven damages. Efforts to decarbonize our energy system to address the climate crisis must seize the opportunity to reduce inequality. Doing so requires a multidisciplinary approach to assess the tradeoffs between alternative decarbonization pathways. In this Perspective we introduce an Equitable Deep Decarbonization Framework for mapping the tenets of energy justice to the practice of large-scale deep decarbonization pathways modeling designed to facilitate this multidisciplinary effort. We provide discussion of key considerations for each step of the framework to enable modeling that accounts for adaptation co-benefits associated with systematic climate risks to vulnerable communities.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] A Web-based Software Framework for Aircraft Design Modeling, Analysis and Multidisciplinary Optimization
    Feng Haocheng
    Luo Mingqiang
    Liu Hu
    Wu Zhe
    2011 2ND INTERNATIONAL CONFERENCE ON CHALLENGES IN ENVIRONMENTAL SCIENCE AND COMPUTER ENGINEERING (CESCE 2011), VOL 11, PT A, 2011, 11 : 291 - 296
  • [22] A conceptual framework for multidisciplinary design research with example application to agent-based modeling
    McComb, Christopher
    Jablokow, Kathryn
    DESIGN STUDIES, 2022, 78
  • [23] Assessment of decarbonization pathway for Chinese road transport sector based on transportation-energy integration systems framework
    Wan, Tianyi
    Fu, Hao
    Li, Xiaoshan
    Wu, Fan
    Luo, Cong
    Zhang, Liqi
    ENERGY, 2025, 317
  • [24] A deep decarbonization framework for the United States economy - a sector, sub-sector, and end-use based approach
    Kar, Saurajyoti
    Hawkins, Troy R.
    Zaimes, George G.
    Oke, Doris
    Singh, Udayan
    Wu, Xinyi
    Kwon, Hoyoung
    Zhang, Shannon
    Zang, Guiyan
    Zhou, Yan
    Elgowainy, Amgad
    Wang, Michael
    Ma, Ookie
    SUSTAINABLE ENERGY & FUELS, 2024, 8 (05) : 1024 - 1039
  • [25] A deep learning framework for constitutive modeling based on temporal convolutional network
    Wang, Jia-Ji
    Wang, Chen
    Fan, Jian-Sheng
    Mo, Y. L.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 449
  • [26] A FRAMEWORK FOR ENERGY-BASED KINETOSTATIC MODELING OF COMPLIANT MECHANISMS
    Chen, Guimin
    Ma, Fulei
    Bai, Ruiyu
    Magleby, Spencer P.
    Howell, Larry L.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 5A, 2017,
  • [27] Computation and Optimization of BESS in the Modeling of Renewable Energy Based Framework
    Vivek Saxena
    Narendra Kumar
    Uma Nangia
    Archives of Computational Methods in Engineering, 2024, 31 : 2385 - 2416
  • [28] Computation and Optimization of BESS in the Modeling of Renewable Energy Based Framework
    Saxena, Vivek
    Kumar, Narendra
    Nangia, Uma
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2024, 31 (04) : 2385 - 2416
  • [29] Multidisciplinary Framework-Based Service Modeling Applied to Service Coursework and Business Planner Interaction
    Nakamura, Kotaro
    Ikawa, Yasuo
    PROCEEDINGS OF PICMET 09 - TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, VOLS 1-5, 2009, : 2863 - 2871
  • [30] Deep learning based optimal energy management framework for community energy storage system
    Alam, Md Morshed
    Jang, Yeong Min
    ICT EXPRESS, 2023, 9 (03): : 333 - 340