Citation

BibTex format

@article{Pfenninger:2014:10.1016/j.rser.2014.02.003,
author = {Pfenninger, S and Hawkes, A and Keirstead, J},
doi = {10.1016/j.rser.2014.02.003},
journal = {Renewable and Sustainable Energy Reviews},
pages = {74--86},
title = {Energy systems modeling for twenty-first century energy challenges},
url = {http://dx.doi.org/10.1016/j.rser.2014.02.003},
volume = {33},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Energy systems models are important methods used to generate a range of insight and analysis on the supply and demand of energy. Developed over the second half of the twentieth century, they are now seeing increased relevance in the face of stringent climate policy, energy security and economic development concerns, and increasing challenges due to the changing nature of the twenty-first century energy system. In this paper, we look particularly at models relevant to national and international energy policy, grouping them into four categories: energy systems optimization models, energy systems simulation models, power systems and electricity market models, and qualitative and mixed-methods scenarios. We examine four challenges they face and the efforts being taken to address them: (1) resolving time and space, (2) balancing uncertainty and transparency, (3) addressing the growing complexity of the energy system, and (4) integrating human behavior and social risks and opportunities. In discussing these challenges, we present possible avenues for future research and make recommendations to ensure the continued relevance for energy systems models as important sources of information for policy-making.
AU - Pfenninger,S
AU - Hawkes,A
AU - Keirstead,J
DO - 10.1016/j.rser.2014.02.003
EP - 86
PY - 2014///
SN - 1364-0321
SP - 74
TI - Energy systems modeling for twenty-first century energy challenges
T2 - Renewable and Sustainable Energy Reviews
UR - http://dx.doi.org/10.1016/j.rser.2014.02.003
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000335423900008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.sciencedirect.com/science/article/pii/S1364032114000872
VL - 33
ER -