Advancing Energy Access Modelling with Geographic Information System Data

被引:0
|
作者
Francesco Dalla Longa
Teun Strikkers
Tom Kober
Bob van der Zwaan
机构
[1] ECN part of TNO,Energy Transition Studies
[2] Utrecht University,Copernicus Institute of Sustainable Development
[3] Paul Scherrer Institute (PSI),Energy Economics Group
[4] Johns Hopkins University,School of Advanced International Studies (SAIS)
[5] University of Amsterdam,Faculty of Science (HIMS)
来源
关键词
Integrated assessment model (IAM); Off-grid electricity generation; Renewables; Africa; GIS;
D O I
暂无
中图分类号
学科分类号
摘要
One of the main goals in pursuing sustainable development is to provide universal access to modern energy services, notably through the use of off-grid renewable energy technologies. To date, integrated assessment models (IAMs) poorly address energy access targets. In the context of research dedicated to energy scenarios and climate change mitigation in Africa, we attempt to advance the representation of energy access in one such IAM by using GIS data. In a case study for Ethiopia with the TIAM-ECN model, we demonstrate that by enriching an IAM with information derived from GIS databases, insights are obtained that better capture the dynamics of energy access developments, in comparison to conventional IAM analysis of energy technology deployment pathways. When duly accounting for the geographical spread in demography and technology costs in a developing country, we find that many people may gain access to electricity in remote areas thanks to the availability of affordable off-grid power production options that render expensive grid extensions unnecessary. This effect is not explicitly accounted for in most traditional IAMs. By the middle of the century, off-grid technologies could provide affordable electricity to 70% of the Ethiopian population, based almost entirely on renewable sources such as wind, solar and hydropower.
引用
下载
收藏
页码:627 / 637
页数:10
相关论文
共 50 条
  • [41] Geographic Information System and Big Spatial Data: A Review and Challenges
    Usmani, Raja Sher Afgun
    Hashem, Ibrahim Abaker Targio
    Pillai, Thulasyammal Ramiah
    Saeed, Anum
    Abdullahi, Akibu Mahmoud
    INTERNATIONAL JOURNAL OF ENTERPRISE INFORMATION SYSTEMS, 2020, 16 (04) : 101 - 145
  • [42] DATA STRUCTURE AND LANGUAGE OF THE GEOGRAPHIC INFORMATION-SYSTEM ATLAS
    TSURUTANI, T
    KASAHARA, Y
    NANIWADA, M
    NEC RESEARCH & DEVELOPMENT, 1981, (62): : 57 - 64
  • [43] A volunteered geographic information system for collecting and rating petroglyph data
    Deufemia, Vincenzo
    Mascardi, Viviana
    Paolino, Luca
    Polese, Giuseppe
    de Lumley, Henry
    JOURNAL OF VISUAL LANGUAGES AND COMPUTING, 2014, 25 (06): : 963 - 972
  • [44] Study on data fusion method in geographic information system for transportation
    Zhu, ZS
    Chen, XW
    Zhang, FZ
    Sui, JB
    IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, : 806 - 809
  • [45] Racial and ethnic inequities in spatial access to pharmacies: A geographic information system analysis
    Appolon, Giovanni
    Tang, Shangbin
    Gabriel, Nico
    Morales, Jasmine
    Berenbrok, Lucas A.
    Lacroix, Andrea Z.
    Guo, Jingchuan
    Mathis, Walter S.
    Hernandez, Inmaculada
    JOURNAL OF THE AMERICAN PHARMACISTS ASSOCIATION, 2024, 64 (04)
  • [46] Implementation of a Geographic Information System with Big Data Environment on Common Data Model
    Sik, David
    Csorba, Kristof
    Ekler, Peter
    2017 8TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS (COGINFOCOM), 2017, : 181 - 184
  • [47] Modelling road surface sediment production using a vector geographic information system
    Anderson, DM
    MacDonald, LH
    EARTH SURFACE PROCESSES AND LANDFORMS, 1998, 23 (02) : 95 - 107
  • [48] Modelling Geographic Information System with Logistic Regression in Irrigation Ponds, Taoyuan Tableland
    Fang, Wei-Ta
    Huang, Yueh-Wen
    2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL II, 2011, : 26 - 30
  • [49] Habitat and population modelling of roe deer using an interactive geographic information system
    Radeloff, VC
    Pidgeon, AM
    Hostert, P
    ECOLOGICAL MODELLING, 1999, 114 (2-3) : 287 - 304
  • [50] Modelling Geographic Information System with Logistic Regression in Irrigation Ponds, Taoyuan Tableland
    Fang, Wei-Ta
    Huang, Yueh-Wen
    2011 INTERNATIONAL CONFERENCE OF ENVIRONMENTAL SCIENCE AND ENGINEERING, VOL 12, PT A, 2012, 12 : 505 - 513