Zobrazeno 1 - 10
of 239
pro vyhledávání: '"DECAROLIS, JOSEPH"'
Autor:
Patankar, Neha, Fell, Harrison G., de Queiroz, Anderson Rodrigo, Curtis, John, DeCarolis, Joseph F.
Publikováno v:
Applied Energy, 306: 118083 (2022)
Energy system optimization models (ESOMs) are designed to examine the potential effects of a proposed policy, but often represent energy-efficient technologies and policies in an overly simplified way. Most ESOMs include different end-use technologie
Externí odkaz:
http://arxiv.org/abs/2111.04769
Rigorous model-based analysis can help inform state-level energy and climate policy. In this study, we utilize an open-source energy system optimization model and publicly available datasets to examine future electricity generation, CO2 emissions, an
Externí odkaz:
http://arxiv.org/abs/2001.07264
Publikováno v:
Energy Economics, 34(6): 1845-1853 (2012)
Energy economy optimization (EEO) models employ formal search techniques to explore the future decision space over several decades in order to deliver policy-relevant insights. EEO models are a critical tool for decision-makers who must make near-ter
Externí odkaz:
http://arxiv.org/abs/2001.10858
Publikováno v:
Environmental Science & Technology, 52: 9595-9604 (2018)
The planned US withdrawal from the Paris Agreement as well as uncertainty about federal climate policy have raised questions about the country's future emissions trajectory. Our model-based analysis accounts for uncertainty in fuel prices and energy
Externí odkaz:
http://arxiv.org/abs/1912.05679
Publikováno v:
Environmental Modelling & Software, 79: 300-310 (2016)
Energy system optimization models (ESOMs) should be used in an interactive way to uncover knife-edge solutions, explore alternative system configurations, and suggest different ways to achieve policy objectives under conditions of deep uncertainty. I
Externí odkaz:
http://arxiv.org/abs/1912.03788
Autor:
Patankar, Neha, de Queiroz, Anderson Rodrigo, DeCarolis, Joseph F., Bazilian, Morgan D., Chattopadhyay, Debabrata
Publikováno v:
Energy for sustainable development, 49: 53-64 (2019)
This paper explores electricity planning strategies in South Sudan under future conflict uncertainty. A stochastic energy system optimization model that explicitly considers the possibility of armed conflict leading to electric power generator damage
Externí odkaz:
http://arxiv.org/abs/1911.04652
Publikováno v:
In Energy 1 May 2023 270
Publikováno v:
In Applied Energy 15 November 2022 326
Publikováno v:
In Energy Reports November 2022 8:8061-8078
Publikováno v:
In Renewable and Sustainable Energy Transition August 2022 2