Details
Originalsprache | Englisch |
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Titel des Sammelwerks | Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023 |
Herausgeber/-innen | Tung X. Bui |
Seiten | 771-780 |
Seitenumfang | 10 |
ISBN (elektronisch) | 9780998133164 |
Publikationsstatus | Veröffentlicht - 3 Jan. 2023 |
Veranstaltung | 56th Annual Hawaii International Conference on System Sciences, HICSS 2023 - Virtual, Online, USA / Vereinigte Staaten Dauer: 3 Jan. 2023 → 6 Jan. 2023 |
Publikationsreihe
Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
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Band | 2023-January |
ISSN (Print) | 1530-1605 |
Abstract
Successful energy system planning is dependent on detailed electricity demand information. Especially in developing countries, pre-generated load profiles are often unsuitable as appliance ownership and usage vary significantly across borders, between urban and rural areas, and on household and industry levels. Synthesizing load profiles is often hindered by the inaccessibility of tools due to cost barriers, global unavailability, or required technical knowledge. As currently, no easily accessible and usable tool is available during energy system planning in rural areas of developing countries, we incorporate the open-source load profile generator RAMP into our web-based energy system simulator NESSI4Dweb+ to provide an intuitive user interface. We conduct an applicability check with self-collected data from a guesthouse in Sri Lanka, analyzing the impact of load distribution and magnitude on the economic, environmental, and reliable energy supply, that validates the artifact's relevance and ability to empower local decision-makers.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
Ziele für nachhaltige Entwicklung
Zitieren
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- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023. Hrsg. / Tung X. Bui. 2023. S. 771-780 (Proceedings of the Annual Hawaii International Conference on System Sciences; Band 2023-January).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Sustainable Energy System Planning in Developing Countries
T2 - 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
AU - Hart, Maria C.G.
AU - Eckhoff, Sarah
AU - Breitner, Michael H.
PY - 2023/1/3
Y1 - 2023/1/3
N2 - Successful energy system planning is dependent on detailed electricity demand information. Especially in developing countries, pre-generated load profiles are often unsuitable as appliance ownership and usage vary significantly across borders, between urban and rural areas, and on household and industry levels. Synthesizing load profiles is often hindered by the inaccessibility of tools due to cost barriers, global unavailability, or required technical knowledge. As currently, no easily accessible and usable tool is available during energy system planning in rural areas of developing countries, we incorporate the open-source load profile generator RAMP into our web-based energy system simulator NESSI4Dweb+ to provide an intuitive user interface. We conduct an applicability check with self-collected data from a guesthouse in Sri Lanka, analyzing the impact of load distribution and magnitude on the economic, environmental, and reliable energy supply, that validates the artifact's relevance and ability to empower local decision-makers.
AB - Successful energy system planning is dependent on detailed electricity demand information. Especially in developing countries, pre-generated load profiles are often unsuitable as appliance ownership and usage vary significantly across borders, between urban and rural areas, and on household and industry levels. Synthesizing load profiles is often hindered by the inaccessibility of tools due to cost barriers, global unavailability, or required technical knowledge. As currently, no easily accessible and usable tool is available during energy system planning in rural areas of developing countries, we incorporate the open-source load profile generator RAMP into our web-based energy system simulator NESSI4Dweb+ to provide an intuitive user interface. We conduct an applicability check with self-collected data from a guesthouse in Sri Lanka, analyzing the impact of load distribution and magnitude on the economic, environmental, and reliable energy supply, that validates the artifact's relevance and ability to empower local decision-makers.
KW - Decision Support System
KW - Developing Countries
KW - Energy System Simulation
KW - Load Profile Generation
KW - Renewable Energy
UR - http://www.scopus.com/inward/record.url?scp=85152138293&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85152138293
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 771
EP - 780
BT - Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
A2 - Bui, Tung X.
Y2 - 3 January 2023 through 6 January 2023
ER -