journal article·2022-01-25Open access

Evaluation of the Effectiveness of Joint Use of Wood and Other Renewable Energy Sources in the Baikal Region

Oleg Marchenko, Sergei Solomin, Vitaly Shamanskiy, Igor Donskoy

Applied Sciences· Volume 12· Issue 3

Abstract

This paper addresses the assessment of woody biomass resources in Russia and the Baikal region. The analysis of the literature demonstrates that the Baikal region has considerable amounts of waste from the logging, timber processing, and pulp and paper industries (up to 220 PJ). A review of utilization technologies for woody biomass demonstrates that the existing technologies based on biomass gasification are promising for energy purposes. The gasification of biomass for small-capacity power plants has some advantages compared to its combustion. This paper considers an autonomous power system that consists of photovoltaic converters, wind turbines, storage batteries, a biomass gasification power plant, and a diesel power plant. A mathematical model used to optimize the system’s structure finds the minimum of the total discounted costs for the creation and operation of the system with some constraints met. Based on mathematical modeling, the cost-effectiveness of such a power supply system is assessed for different climatic zones of the Baikal region and the coastal area of Lake Baikal. The findings indicate that the optimal solution is the integration of various renewable energy sources in hybrid power systems. The proportion of energy sources of different types in the installed capacities is found. The study demonstrates that the optimal structure of the power system can provide significant savings (the total discounted costs are reduced by almost 2.5 times compared to the option using a diesel power plant alone).
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Hybrid Renewable Energy Systems · Integrated Energy Systems Optimization · Global Energy and Sustainability Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, 130 Lermontov Street, 664033 Irkutsk, Russia

Funding

Russian Science Foundation

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