Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023 |
| Editors | Tung X. Bui |
| Pages | 771-780 |
| Number of pages | 10 |
| ISBN (electronic) | 9780998133164 |
| Publication status | Published - 3 Jan 2023 |
| Event | 56th Annual Hawaii International Conference on System Sciences, HICSS 2023 - Virtual, Online, United States Duration: 3 Jan 2023 → 6 Jan 2023 |
Publication series
| Name | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| Volume | 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.
Keywords
- Decision Support System, Developing Countries, Energy System Simulation, Load Profile Generation, Renewable Energy
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
Sustainable Development Goals
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Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023. ed. / Tung X. Bui. 2023. p. 771-780 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2023-January).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -