Technical-environmental-economic evaluation of biomass-based hybrid power system with energy storage for rural electrification

Autor: Alpaslan Demirci, Onur Akar, Zafer Ozturk
Přispěvatelé: DEMİRCİ A., AKAR O., Ozturk Z.
Rok vydání: 2022
Předmět:
Tarımsal Bilimler
Genel Enerji
Mühendislik
Enerji Mühendisliği ve Güç Teknolojisi
SOLAR PV
ENGINEERING
Ziraat
ENERGY & FUELS
BIOGAS PRODUCTION
Biomass
Enerji (çeşitli)
PHOTOVOLTAIC-BIOMASS
Animal waste
Agricultural Sciences
ENERJİ VE YAKITLAR
General Engineering
Tarımda Enerji
Agriculture
Hybrid power system
CO 2 emission
Energy in Agriculture
Fuel Technology
General Energy
PV-BIOMASS
Physical Sciences
Engineering and Technology
Biofuels Technology
SENSITIVITY
FEASIBILITY
Farm Machinery
Mühendislik (çeşitli)
Energy Engineering and Power Technology
Biyoyakıt Teknolojisi
Genel Mühendislik
Anaerobic digestion
Tarım Makineleri
Engineering
Computing & Technology (ENG)
OPTIMIZATION
Engineering (miscellaneous)
DIESEL-BATTERY
Yenilenebilir Enerji
Sürdürülebilirlik ve Çevre
Renewable Energy
Sustainability and the Environment
Yakıt Teknolojisi
Industrial livestock farms
Mühendislik
Bilişim ve Teknoloji (ENG)
WIND
Fizik Bilimleri
Mühendislik ve Teknoloji
Energy (miscellaneous)
GENERATION
Zdroj: Renewable Energy. 195:1202-1217
ISSN: 0960-1481
Popis: In recent years, higher penetrations of renewable energy generations helped persuade sustainable energy and environmental targets, although their intermittent and fluctuated nature raised technical challenges. However, hybrid power system can minimize these technical issues by integrating flexible generation capable renewable energy sources like biomass. This study deals with optimizing gridintegrated and stand-alone biomass-based hybrid power system for the energy demand of a rural region containing poultry farms. Besides solar and wind energy, energy storage integration is evaluated regarding overall technical-environmental-economic performance, considering the actual manure potential using HOMER Pro. In addition, sensitivity analyses are performed, considering the estimated load and inflations using an artificial neural network method. Using biomass and solar hybrid options offers more autonomous, environmentally friendly, and economic advantages. Biomass-based hybrid power system with solar energy reduced net present cost by around 12% and increased renewable fraction by 7%, and grid-connected options can provide 88.9% renewable fraction. In addition, the energy storage integration increased renewable fraction by around 10% and reduced excess energy by 16%. The proposed biomass-based hybrid power system achieves cost-effective sizing of solar or wind-based hybrid systems, empowers the reliability of renewable energy and presents good consistency of decarbonization targets.
Databáze: OpenAIRE
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