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Feasibility study of using a biogas engine as backup in a decentralized hybrid (PV/wind/battery) power generation system: Case study Kenya
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology. (Polygeneration)ORCID iD: 0000-0001-8510-2783
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology.ORCID iD: 0000-0002-4479-344X
2015 (English)In: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 90, no 2, p. 1830-1841Article in journal (Refereed) Published
Abstract [en]

In this study, a hybrid power system consisting of PV (Photovoltaics) panels, a wind turbine and a biogas engine is proposed to supply the electricity demand of a village in Kenya. The average and the peak load of the village are around 8kW and 16.5kW respectively.The feasibility of using locally produced biogas to drive a backup engine in comparison to using a diesel engine as backup has been explored through a techno-economic analysis using HOMER (Hybrid Optimization Model for Electric Renewables). This hybrid system has also been compared with a single diesel based power system.The results show that the hybrid system integrated with the biogas engine as backup can be a better solution than using a diesel engine as backup. The share of power generation by PV, wind and biogas are 49%, 19% and 32%, respectively. The LCOE (Levelized Cost of Electricity) of generated electricity by this hybrid system ($0.25/kWh) is about 20% cheaper than that with a diesel engine as backup ($0.31/kWh), while the capital cost and the total NPC (Net Present Cost) are about 30% and 18% lower, respectively.Regarding CO2 emissions, using a biogas engine as backup saves 17 tons of CO2 per year compared to using the diesel engine as backup.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 90, no 2, p. 1830-1841
Keywords [en]
Biogas engine, Decentralized energy system, HOMER, Polygeneration, Rural electrification, Techno-economic optimization
National Category
Energy Engineering
Research subject
Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-175765DOI: 10.1016/j.energy.2015.07.008Scopus ID: 2-s2.0-84954398806OAI: oai:DiVA.org:kth-175765DiVA, id: diva2:862224
Note

QC 20151023

Available from: 2015-10-20 Created: 2015-10-20 Last updated: 2018-05-17Bibliographically approved
In thesis
1. Small-Scale Decentralized Energy Systems: optimization and performance analysis
Open this publication in new window or tab >>Small-Scale Decentralized Energy Systems: optimization and performance analysis
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Small-scale polygeneration energy systems, providing multiple energy services, such as heating, electricity, cooling, and clean water, using multiple energy sources (renewable and non-renewable) are considered an important component in the energy transition movement. Exploiting locally available energy sources and providing energy services close to the end users have potential environmental, economic, and societal benefits. Furthermore, integration of thermal and electro-chemical storages in the system can decrease fossil fuel consumption, particularly when applying a long-term perspective.

Despite their promising potential, the global share of power generation by these systems, including the combined heat and power (CHP) systems, is relatively low in the current energy market. To investigate the applicability of these systems, their competitiveness in comparison with conventional energy solutions should be carefully analyzed in terms of energy, economy, and the environment. However, determining whether the implementation of a polygeneration system fulfills economic, energetic, and environmental criteria is a challenging process. Additionally, the design of such systems is a complex task, due to a system design with various generation and storage modules, and the continuous interaction between the modules, load demand fluctuations, and the intermittent nature of renewable energy sources.

In this research study, a method to identify the optimal size for small-scale polygeneration systems and suitable operating strategies is proposed. Based on this method, a mathematical model is developed that can optimize the design in terms of energy, economy, and the environment relative to a reference system for a given application. Moreover, the developed model is used to investigate the effects of various parameters on the performance of the system, including, among others, the selected operating strategy and load characteristics as well the climate zones through a number of case studies. It is concluded that the application of a small-scale polygeneration energy system potentially has considerable energetic and environmental benefits. However, its economic feasibility varies from case to case. The concluding remarks are primarily intended to provide a general perception of the potential application of a polygeneration system as an alternative solution. It also provides a general understanding of the effects of various parameters on the design and performance of a complex polygeneration system.

The results from various case studies demonstrate that the developed model can efficiently identify the optimal size of a polygeneration system and its performance relative to a reference system. This can support engineers and researchers as well as investors and other decision makers to realize whether a polygeneration system is a good choice for a specific case.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2018. p. 137
Series
TRITA-ITM-AVL ; 2018:20
Keywords
Small-scale polygeneration energy systems, techno-economic optimization, renewable energy, operating strategy, particle swarm optimization, optimization algorithm, decentralized energy system
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-228078 (URN)978-91-7729-808-3 (ISBN)
Public defence
2018-06-07, Kollegiesalen, Brinellvägen 8, Stockholm, 14:00 (English)
Opponent
Supervisors
Available from: 2018-05-18 Created: 2018-05-17 Last updated: 2018-05-18Bibliographically approved

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Publisher's full textScopushttp://www.sciencedirect.com/science/article/pii/S0360544215009020

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Ghaem Sigarchian, SaraMalmquist, Anders

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