Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/315345 
Year of Publication: 
2023
Citation: 
[Journal:] Environment, Development and Sustainability [ISSN:] 1573-2975 [Volume:] 26 [Issue:] 4 [Publisher:] Springer Netherlands [Place:] Dordrecht [Year:] 2023 [Pages:] 9817-9845
Publisher: 
Springer Netherlands, Dordrecht
Abstract: 
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.
Subjects: 
Sustainable development goals
Decision support system
Renewable energy systems
Design science research
Vietnam
Load profile
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.