Details
Original language | English |
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Title of host publication | Proceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022 |
Editors | Tung X. Bui |
Pages | 1145-1154 |
Number of pages | 10 |
ISBN (electronic) | 9780998133157 |
Publication status | Published - 2022 |
Publication series
Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
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Volume | 2022-January |
ISSN (Print) | 1530-1605 |
Abstract
Planning energy systems is subject to changes in components' health and installation costs, fossil fuel prices, and load demand. Especially in developing countries, electrical loads are reported to increase drastically after electrification. Improper sizing of the energy system's components can lead to reduced environmental sustainability, decreased reliability, and long-term project failures. As no tools for energy system planning exist that aim at developing countries and sufficiently account for temporal variations, we modify the software NESSI4D in a design science cycle to provide the comprehensive decision support system NESSI4D +. We conduct an applicability check with a representative rural village in mountainous Nepal that validates NESSI4D +'s relevance and shows the importance of considering temporal variations for economically, ecologically, and socially long-term sustainable energy projects.
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Proceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022. ed. / Tung X. Bui. 2022. p. 1145-1154 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2022-January).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Sustainable Energy System Planning in Developing Countries: A Decision Support System Considering Variations Over Time
AU - Eckhoff, Sarah
AU - Hart, Maria
AU - Breitner, Michael H.
N1 - Publisher Copyright: © 2022 IEEE Computer Society. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Planning energy systems is subject to changes in components' health and installation costs, fossil fuel prices, and load demand. Especially in developing countries, electrical loads are reported to increase drastically after electrification. Improper sizing of the energy system's components can lead to reduced environmental sustainability, decreased reliability, and long-term project failures. As no tools for energy system planning exist that aim at developing countries and sufficiently account for temporal variations, we modify the software NESSI4D in a design science cycle to provide the comprehensive decision support system NESSI4D +. We conduct an applicability check with a representative rural village in mountainous Nepal that validates NESSI4D +'s relevance and shows the importance of considering temporal variations for economically, ecologically, and socially long-term sustainable energy projects.
AB - Planning energy systems is subject to changes in components' health and installation costs, fossil fuel prices, and load demand. Especially in developing countries, electrical loads are reported to increase drastically after electrification. Improper sizing of the energy system's components can lead to reduced environmental sustainability, decreased reliability, and long-term project failures. As no tools for energy system planning exist that aim at developing countries and sufficiently account for temporal variations, we modify the software NESSI4D in a design science cycle to provide the comprehensive decision support system NESSI4D +. We conduct an applicability check with a representative rural village in mountainous Nepal that validates NESSI4D +'s relevance and shows the importance of considering temporal variations for economically, ecologically, and socially long-term sustainable energy projects.
UR - http://www.scopus.com/inward/record.url?scp=85139955489&partnerID=8YFLogxK
M3 - Conference contribution
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 1145
EP - 1154
BT - Proceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
A2 - Bui, Tung X.
ER -