LAPSE:2023.18497
Published Article

LAPSE:2023.18497
Off-Grid Multi-Carrier Microgrid Design Optimisation: The Case of Rakiura−Stewart Island, Aotearoa−New Zealand
March 8, 2023
Abstract
The establishment of the concept of sustainable, decentralised, multi-carrier energy systems, together with the declining costs of renewable energy technologies, has proposed changes in off-grid electrification interventions towards the development of integrated energy systems. Notwithstanding the potential benefits, the optimal capacity planning of such systems with multiple energy carriers—electricity, heating, cooling, hydrogen, biogas—is exceedingly complex due to the concurrent goals and interrelated constraints that must be relaxed. To this end, this paper puts forward an innovative new optimal capacity planning method for a first-of-its-kind stand-alone multiple energy carrier microgrid (MECM) serving the electricity, hot water, and transportation fuel demands of remote communities. The proposed off-grid MECM system is equipped with solar photovoltaic panels, wind turbines, a hydrogen-based energy storage system—including an electrolyser, a hydrogen reservoir, and a fuel cell—a hybrid super-capacitor/battery energy storage system, a hot water storage tank, a heat exchanger, an inline electric heater, a hydrogen refuelling station, and some power converters. The main objective of calculating the optimal size of the conceptualised isolated MECM’s components through minimising the associated lifetime costs is fulfilled by a specifically developed meta-heuristic-based solution algorithm subject to a set of operational and planning constraints. To evaluate the utility and effectiveness of the proposed method, as well as the technical feasibility and economic viability of the suggested grid-independent MECM layout, a numerical case study was carried out for Rakiura−Stewart Island, Aotearoa−New Zealand. Notably, the numeric simulation results highlight that the optimal solution presents a low-risk, high-yield investment opportunity, which is able to save the diesel-dependent community a significant 54% in electricity costs (including electrified space heating)—if financed as a community renewable energy project—apart from providing a cost-effective and resilient platform to serve the hot water and transportation fuel needs.
The establishment of the concept of sustainable, decentralised, multi-carrier energy systems, together with the declining costs of renewable energy technologies, has proposed changes in off-grid electrification interventions towards the development of integrated energy systems. Notwithstanding the potential benefits, the optimal capacity planning of such systems with multiple energy carriers—electricity, heating, cooling, hydrogen, biogas—is exceedingly complex due to the concurrent goals and interrelated constraints that must be relaxed. To this end, this paper puts forward an innovative new optimal capacity planning method for a first-of-its-kind stand-alone multiple energy carrier microgrid (MECM) serving the electricity, hot water, and transportation fuel demands of remote communities. The proposed off-grid MECM system is equipped with solar photovoltaic panels, wind turbines, a hydrogen-based energy storage system—including an electrolyser, a hydrogen reservoir, and a fuel cell—a hybrid super-capacitor/battery energy storage system, a hot water storage tank, a heat exchanger, an inline electric heater, a hydrogen refuelling station, and some power converters. The main objective of calculating the optimal size of the conceptualised isolated MECM’s components through minimising the associated lifetime costs is fulfilled by a specifically developed meta-heuristic-based solution algorithm subject to a set of operational and planning constraints. To evaluate the utility and effectiveness of the proposed method, as well as the technical feasibility and economic viability of the suggested grid-independent MECM layout, a numerical case study was carried out for Rakiura−Stewart Island, Aotearoa−New Zealand. Notably, the numeric simulation results highlight that the optimal solution presents a low-risk, high-yield investment opportunity, which is able to save the diesel-dependent community a significant 54% in electricity costs (including electrified space heating)—if financed as a community renewable energy project—apart from providing a cost-effective and resilient platform to serve the hot water and transportation fuel needs.
Record ID
Keywords
meta-heuristics, microgrids, multi-carrier, multi-energy systems, off-grid, optimal design, optimal sizing, optimisation, solar photovoltaics, wind turbines
Subject
Suggested Citation
Mohseni S, Brent AC, Burmester D. Off-Grid Multi-Carrier Microgrid Design Optimisation: The Case of Rakiura−Stewart Island, Aotearoa−New Zealand. (2023). LAPSE:2023.18497
Author Affiliations
Mohseni S: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand
Brent AC: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand; Department of Industrial Engineering, Centre for Renewable and Sustainable Energy S [ORCID]
Burmester D: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand
Brent AC: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand; Department of Industrial Engineering, Centre for Renewable and Sustainable Energy S [ORCID]
Burmester D: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand
Journal Name
Energies
Volume
14
Issue
20
First Page
6522
Year
2021
Publication Date
2021-10-11
ISSN
1996-1073
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Original Submission
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PII: en14206522, Publication Type: Journal Article
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LAPSE:2023.18497
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https://doi.org/10.3390/en14206522
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