article · Energy Conversion and Management X
Combining solar photovoltaic systems with biomass energy offers an alternative to fossil fuel power generation. A comparative evaluation assessed hybrid renewable energy systems that pair solar panels with three biomass conversion methods: pyrolysis, direct combustion, and gasification. Using a multi-objective genetic algorithm, the configurations were optimised according to total green energy share, harmful emission levels, net present cost, and the overall cost of energy. The results show that pairing solar power with biomass pyrolysis outperforms the alternatives. The pyrolysis setup reduced the cost of energy by 17 percent and 38 percent compared to the other two scenarios. It also delivered a 17 percent and 65 percent drop in net present cost, as well as a 15 percent and 37.5 percent reduction in total system costs. Overall, biomass pyrolysis proved to be the most cost-effective biomass technology for these hybrid generation systems.
Hybrid renewable energy systems provide cleaner electricity, but identifying the most economical design is often difficult. Comparing specific biomass conversion options shows that technology selection directly changes power generation expenses and emissions. These findings assist planners and energy specialists in identifying the most cost-effective setups, demonstrating that pyrolysis offers superior financial performance when integrated into solar-biomass hybrid networks.
This work is relevant to renewable energy planners and engineering firms evaluating hybrid utility projects. Because the study relies on algorithmic modelling and simulated comparative scenarios, it represents early-stage research. The findings can help developers select biomass conversion equipment, specifically pyrolysis over direct combustion or gasification, to reduce capital and operational expenditure during the pre-feasibility and design phases of hybrid power plant projects.
AI-generated from the published abstract. Always read the original work before citing.
The abundance of fossil fuels and their negative environmental effects, together with the substantial reduction in their investment prices, have made solar-biomass hybrid plants an increasingly appealing choice for supplying the world’s energy needs. This study evaluates the performance of a PV/biomass hybrid renewable energy system (HRES) that incorporates three distinct biomass processes, including pyrolysis, direct combustion, and gasification. The hybrid system is modeled employing the multi-objective genetic algorithm (MOGA). The most excellent layout is tabbed based on factors such as the largest proportion of green energy and the least amount of noxious emissions, as well as the minimum cost of energy (COE) and net present cost (NPC). The COE in the pyrolysis system is 17% and 38% lower than in scenarios 1 and 2, respectively. The decrease in NPC and overall system cost, which demonstrates 17% and 65% drops in NPC and 15% and 37.5% decreases in total system cost, respectively, as compared to scenarios 1 and 2. After comparing all the essential aspects, it is revealed that the HRES incorporating biomass pyrolysis is preferable to the most cost-effective option for making hybrid systems than other HRESs executed up of gasifier or direct combustion biomass technologies. This idea would improve the use of biomass resources in HRES by including the foremost biomass power production technology, making it simpler for researchers to identify the paramount hybrid renewable energy systems and create decisive HRES using biomass as the main source.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1016/j.ecmx.2024.100640
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
