Optimizing an equitable micro‐hydropower deployment: Application of a multi‐objective method for rural Indonesia

Much of the developing world is still struggling to provide electricity to rural populations. Extending the grid is frequently not feasible or too expensive in rural and remote areas. In such situations, micro‐hydropower (MHP) can be a cost‐effective source of renewable off‐grid electricity and can...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of multi-criteria decision analysis Jg. 29; H. 3-4; S. 218 - 229
Hauptverfasser: Maghfirra, Dini, Cohon, Jared L., Jaramillo, Paulina, Morgan, M. Granger
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Chichester Wiley Periodicals Inc 01.05.2022
Schlagworte:
Equity
equity objective
Hydroelectric power
Linear programming
micro‐hydropower
multi‐objective mixed‐integer‐linear programming
renewable energy
resource allocation
Rural areas
rural electrification
Indonesia
ISSN:1057-9214, 1099-1360
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Much of the developing world is still struggling to provide electricity to rural populations. Extending the grid is frequently not feasible or too expensive in rural and remote areas. In such situations, micro‐hydropower (MHP) can be a cost‐effective source of renewable off‐grid electricity and can be easier to implement and more reliable than a number of other generation technologies. This study employs multi‐objective mixed‐integer‐linear programming (MOMILP) to identify nondominated MHP portfolios to meet rural electricity needs across Indonesia. Besides maximizing the new MHP generation capacity within a fixed budget, this study also incorporates equity as an objective. The equity issue becomes crucial to ensure that government resources are deployed in a manner that considers impacts for the entire population. The MOMILP optimizes a weighted objective function that applies different relative weights to the objectives of generation capacity and equity, subject to several constraints on resource availability and capacity shortfall, as well as budget. In this way, we identify solutions on the Pareto frontier for investment in MHP generation in remote Indonesian rural communities. We illustrate the tradeoffs involved in meeting capacity shortfalls with and without considering equity across provinces and identify non‐dominated MHP portfolios that the Indonesian government could implement to increase rural electrification efficiently.
Bibliographie:Funding information
Department of Engineering and Public Policy, Carnegie Mellon University; Lembaga Pengelola Dana Pendidikan (LPDP)
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1057-9214
1099-1360
DOI:10.1002/mcda.1769