Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 9817-9845 |
| Seitenumfang | 29 |
| Fachzeitschrift | Environment, Development and Sustainability |
| Jahrgang | 26 |
| Ausgabenummer | 4 |
| Frühes Online-Datum | 17 März 2023 |
| Publikationsstatus | Veröffentlicht - Apr. 2024 |
Abstract
Renewable energies provide effective sustainable development by raising living standards, accelerating economic growth, and mitigating pollution. However, specifically in developing countries, the lack of information, data, and local expertise challenges the design process and long-term success of renewable energy systems. Following the call for inter-disciplinary, solution-oriented research, this work uses a design science research-approach to facilitate multi-energy planning. The decision support system NESSI4D is developed, which considers site-specific economic, environmental, technological, and social factors and is tuned for stakeholder needs in developing countries. Following a step-by-step process model manual, the artifact’s applicability is demonstrated in a use case for a rural community in Thua Thien-Hue, Vietnam. Missing load data are synthesized from the TVSEP with the software RAMP. The results show that the implementation of renewable energy technologies only enables affordable, low-emission electrification with governmental financial incentives. Several sensitivity tests illustrate the impact of changing assumptions and highlight the importance of detailed analyses with highly specialized tools. The demonstrating use case validates the method’s relevance for research and practice towards the goals of effective sustainable development.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
- Volkswirtschaftslehre, Ökonometrie und Finanzen (insg.)
- Volkswirtschaftslehre und Ökonometrie
- Umweltwissenschaften (insg.)
- Management, Monitoring, Politik und Recht
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in: Environment, Development and Sustainability, Jahrgang 26, Nr. 4, 04.2024, S. 9817-9845.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Tool-based renewable energy system planning using survey data
T2 - A case study in rural Vietnam
AU - Hart, Maria C.G.
AU - Eckhoff, Sarah
AU - Breitner, Michael H.
N1 - Funding Information: We thank the Thailand Vietnam Socio Economic Panel (TVSEP) Team for the data provided. TVSEP is funded by the German Research Foundation (DFG). Our views do not necessarily reflect those of the TVSEP team.
PY - 2024/4
Y1 - 2024/4
N2 - Renewable energies provide effective sustainable development by raising living standards, accelerating economic growth, and mitigating pollution. However, specifically in developing countries, the lack of information, data, and local expertise challenges the design process and long-term success of renewable energy systems. Following the call for inter-disciplinary, solution-oriented research, this work uses a design science research-approach to facilitate multi-energy planning. The decision support system NESSI4D is developed, which considers site-specific economic, environmental, technological, and social factors and is tuned for stakeholder needs in developing countries. Following a step-by-step process model manual, the artifact’s applicability is demonstrated in a use case for a rural community in Thua Thien-Hue, Vietnam. Missing load data are synthesized from the TVSEP with the software RAMP. The results show that the implementation of renewable energy technologies only enables affordable, low-emission electrification with governmental financial incentives. Several sensitivity tests illustrate the impact of changing assumptions and highlight the importance of detailed analyses with highly specialized tools. The demonstrating use case validates the method’s relevance for research and practice towards the goals of effective sustainable development.
AB - Renewable energies provide effective sustainable development by raising living standards, accelerating economic growth, and mitigating pollution. However, specifically in developing countries, the lack of information, data, and local expertise challenges the design process and long-term success of renewable energy systems. Following the call for inter-disciplinary, solution-oriented research, this work uses a design science research-approach to facilitate multi-energy planning. The decision support system NESSI4D is developed, which considers site-specific economic, environmental, technological, and social factors and is tuned for stakeholder needs in developing countries. Following a step-by-step process model manual, the artifact’s applicability is demonstrated in a use case for a rural community in Thua Thien-Hue, Vietnam. Missing load data are synthesized from the TVSEP with the software RAMP. The results show that the implementation of renewable energy technologies only enables affordable, low-emission electrification with governmental financial incentives. Several sensitivity tests illustrate the impact of changing assumptions and highlight the importance of detailed analyses with highly specialized tools. The demonstrating use case validates the method’s relevance for research and practice towards the goals of effective sustainable development.
KW - Decision support system
KW - Design science research
KW - Load profile
KW - Renewable energy systems
KW - Sustainable development goals
KW - Vietnam
UR - http://www.scopus.com/inward/record.url?scp=85150193189&partnerID=8YFLogxK
U2 - 10.1007/s10668-023-03120-4
DO - 10.1007/s10668-023-03120-4
M3 - Article
AN - SCOPUS:85150193189
VL - 26
SP - 9817
EP - 9845
JO - Environment, Development and Sustainability
JF - Environment, Development and Sustainability
SN - 1387-585X
IS - 4
ER -