Multi-objective optimization of hybrid renewable energy systems with urban building energy modeling for a prototypical coastal community

Yu Qian Ang, Allison Polly, Aparna Kulkarni, Gloria Bahl Chambi, Matthew Hernandez and Maha N. Haji

Renewable Energy, 2022, vol. 201, issue P1, 72-84

Abstract: Many regions, such as coastal communities, are often located at the end of large transmission lines, leaving them susceptible to power outages and reliant on conventional fuels. We propose a multi-disciplinary, multi-objective optimization method to design a hybrid renewable energy system mix including solar, wind, and marine energy for these regions. The method first simulates demand for Eastport – a prototypical coastal community in Maine (USA) – using urban building energy modeling, and subsequently develops an hourly optimization and time series load-balancing approach to derive an optimal mix of renewable energy systems to meet the region's demand. Our results suggest that while different renewable energy system mixes can be viable, optimizing for cost, energy utilization, and power deficit can be increasingly challenging as higher annual demand hours (>90%) are met. This suggests that the final percentages require a disproportionate effort to achieve, and it will be challenging to meet 100% renewable energy deployment for all demand hours across a year. The proposed method is scalable – it can be applied to other regions to help policymakers and city planners make informed, data-driven decisions for various energy and city planning policy analyses and interventions.

Keywords: Multi-objective optimization; Hybrid renewable energy systems; Urban building energy modeling; Demand response; Supply-demand matching (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148122014859
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:201:y:2022:i:p1:p:72-84

DOI: 10.1016/j.renene.2022.09.126

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().