Exploring the boundaries of Solar Home Systems (SHS) for off-grid electrification: Optimal SHS sizing for the multi-tier framework for household electricity access. (15th April 2019)
- Record Type:
- Journal Article
- Title:
- Exploring the boundaries of Solar Home Systems (SHS) for off-grid electrification: Optimal SHS sizing for the multi-tier framework for household electricity access. (15th April 2019)
- Main Title:
- Exploring the boundaries of Solar Home Systems (SHS) for off-grid electrification: Optimal SHS sizing for the multi-tier framework for household electricity access
- Authors:
- Narayan, Nishant
Chamseddine, Ali
Vega-Garita, Victor
Qin, Zian
Popovic-Gerber, Jelena
Bauer, Pavol
Zeman, Miroslav - Abstract:
- Highlights: Optimal sizing methodology for solar home system (SHS) taking into account battery lifetime. Genetic algorithm-based multi-objective optimization approach. Optimal SHS sizing for each tier of the multi-tier framework (MTF) for household electricity access. Limits of standalone SHS for electrification identified for higher tiers of MTF. Abstract: With almost 1.1 billion people lacking access to electricity, solar-based off-grid products like Solar Home Systems (SHS) have become a promising solution to provide basic electricity needs in un(der)-electrified regions. Therefore, optimal system sizing is a vital task as both oversizing and undersizing a system can be detrimental to system cost and power availability, respectively. This paper presents an optimal SHS sizing methodology that minimizes the loss of load probability (LLP), excess energy dump, and battery size while maximizing the battery lifetime. A genetic algorithm-based multi-objective optimization approach is utilized to evaluate the optimal SHS sizes. The potential for SHS to cater to every tier of the Multi-tier framework (MTF) for measuring household electricity access is examined. The optimal system sizes for standalone SHS are found for different LLP thresholds. Results show that beyond tier 2, the present day SHS sizing needs to be expanded significantly to meet the load demand. Additionally, it is deemed untenable to meet the electricity needs of the higher tiers of MTF purely through standaloneHighlights: Optimal sizing methodology for solar home system (SHS) taking into account battery lifetime. Genetic algorithm-based multi-objective optimization approach. Optimal SHS sizing for each tier of the multi-tier framework (MTF) for household electricity access. Limits of standalone SHS for electrification identified for higher tiers of MTF. Abstract: With almost 1.1 billion people lacking access to electricity, solar-based off-grid products like Solar Home Systems (SHS) have become a promising solution to provide basic electricity needs in un(der)-electrified regions. Therefore, optimal system sizing is a vital task as both oversizing and undersizing a system can be detrimental to system cost and power availability, respectively. This paper presents an optimal SHS sizing methodology that minimizes the loss of load probability (LLP), excess energy dump, and battery size while maximizing the battery lifetime. A genetic algorithm-based multi-objective optimization approach is utilized to evaluate the optimal SHS sizes. The potential for SHS to cater to every tier of the Multi-tier framework (MTF) for measuring household electricity access is examined. The optimal system sizes for standalone SHS are found for different LLP thresholds. Results show that beyond tier 2, the present day SHS sizing needs to be expanded significantly to meet the load demand. Additionally, it is deemed untenable to meet the electricity needs of the higher tiers of MTF purely through standalone SHS without compromising one or more of the system metrics. A way forward is proposed to take the SHS concept all the way up the energy ladder such that load demand can also be satisfied at tier 4 and 5 levels. … (more)
- Is Part Of:
- Applied energy. Volume 240(2019)
- Journal:
- Applied energy
- Issue:
- Volume 240(2019)
- Issue Display:
- Volume 240, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 240
- Issue:
- 2019
- Issue Sort Value:
- 2019-0240-2019-0000
- Page Start:
- 907
- Page End:
- 917
- Publication Date:
- 2019-04-15
- Subjects:
- Optimal sizing -- Multi-tier framework -- Multi objective optimization -- Battery sizing -- Solar Home Systems -- Battery lifetime
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2019.02.053 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20398.xml