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A framework for quantifying the value of information to mitigate risk in the optimal design of distributed energy systems under uncertainty

  • Published:2023-11 Issue: Volume:350 Page:121717
  • ISSN:0306-2619
  • Container-title:Applied Energy
  • language:en
  • Short-container-title:Applied Energy

Author:

Niu Jide,Li Xiaoyuan,Tian Zhe,Yang Hongxing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference50 articles.

1. Renewables 2021-analysis and forecast to 2026;IEA,2021

2. Electrical hubs: an effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid;Perera;Appl Energy,2017

3. Quantifying the impacts of climate change and extreme climate events on energy systems;Perera;Nat Energy,2020

4. Uncertainty is inherent in science;Kampourakis,2019

5. A review of uncertainty characterisation approaches for the optimal design of distributed energy systems;Mavromatidis;Renew Sustain Energy Rev,2018
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