Net-zero multi-energy systems for Siberian rural communities: A methodology to size thermal and electric storage units

Sokolnikova, P.; Lombardi, Pio; Arendarski, Bartłomiej; Suslov, Konstantin; Pantaleo, Antonio; Kranhold, Michael; Komarnicki, Przemysław

doi:10.1016/j.renene.2020.03.011

Cited by 64 publications

(42 citation statements)

References 26 publications

(20 reference statements)

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“…There are 25 indicators to evaluate the leisure agriculture of Fujian Province. The innovation of this research lies in the establishment of an evaluation index system for leisure agriculture from the six aspects of environment, operation, products, facilities, behavior, and emotion, which is highly feasible and operability, and provides support for the development of the leisure agriculture evaluation system [18][19][20].…”

Section: Related Workmentioning

confidence: 99%

Intelligent Rural Tourism Environmental Suitability Evaluation System Based on a Wireless Sensor Network

Feng

2021

Journal of Sensors

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After years of vigorous development, the scale of rural tourism industry has gradually expanded throughout the country, and it has become an important means of coordinating urban and rural areas to drive farmers’ incomes and get rich. Nowadays, the level of informatization is constantly improving, the construction of smart cities is constantly advancing, the personalized demand of tourists is increasingly strong, especially the rural tourist spots scattered in the vast countryside which have a great spatial breadth, and the traditional management method can no longer meet the needs of the source objects whose main travel mode is self-driving. Therefore, only when rural tourism develops in the direction of intelligence can it successfully realize the transformation and upgrading of rural tourism industry. This paper takes a rural tourism resort in a certain area as the research object and builds an intelligent rural tourism environmental suitability evaluation system with three criterion levels: natural geographic conditions, traffic environmental conditions, and tourism spatial conditions. The weight of each indicator layer is obtained through the analytic hierarchy process, and the reclassified raster data of indicators is weighted and superimposed on the ArcGIS operating platform to obtain the evaluation result of the environmental suitability of smart rural tourism. According to the results of suitability evaluation, the most suitable area is selected as the potential area of the intelligent rural tourism environment in a certain area. According to the natural and cultural tourism resource conditions in the block, the potential block is divided into functions. A comprehensive comparison of the suitability spatial differentiation map of the smart rural tourism environment in a certain area with the suitability spatial differentiation map of each subsystem can more clearly find that the suitability score of the economic development subsystem and the basic support subsystem is a county-level village in a certain area. Among them, the suitability of the rural economic development subsystem is similar to the distribution of the suitability of the smart rural tourism environment in a certain area; that is, it is positively correlated with the suitability of the smart rural tourism environment. Therefore, improving the level of rural economic development and increasing investment in the construction of a smart rural tourism environment play an important role in improving the level of public services and infrastructure coverage.

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Section: Related Workmentioning

confidence: 99%

Intelligent Rural Tourism Environmental Suitability Evaluation System Based on a Wireless Sensor Network

Feng

2021

Journal of Sensors

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“…The system could fully satisfy the power demand using renewable energy and reduce 910,459 kg of CO 2 emissions annually. By considering technical, ecological, economic and social criteria, Sokolnikova et al [21] designed a net-zero energy system for rural energy communities in Siberia. The designed 100% RES can achieve an annual CO 2 emissions reduction of 3000 t with a lower investment cost.…”

Section: Existing Studies On 100% Ressmentioning

confidence: 99%

Design Optimization and Comparative Analysis of 100% Renewable Energy Systems for Residential Communities in Typical Areas of China When Considering Environmental and Economic Performance

Ling¹,

Cui²,

Zheng³

et al. 2021

Sustainability

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A 100% renewable energy system (RES) satisfies a user’s energy demand using only renewable energy, which is an important energy supply in China given that the government aims to realize carbon neutrality by 2060. The design and operation of 100% RESs in different areas would vary significantly due to the impacts of climates and geographical features. This study aimed to investigate the economic and environmental performance of 100% RESs for residential communities in different areas of China. In total, 30 typical cities were chosen based on the climate characteristics and the availability of renewable energy resources. The genetic algorithm was selected to obtain the optimal design of the 100% RES in each area by taking the minimum total annual cost and the minimum CO2 emissions as optimization objectives. The results showed that 100% RESs were dominated by solar energy and biomass. The investment could be recovered in 8 years if the economic performance was optimized in most areas, but the payback period became longer when the 100% RES was optimized when considering environmental performance. The emissions could be reduced by 86–99% for CO2 and 64–97% for NOx. The results of this study would provide data support for the investment of 100% RESs in rural or suburban areas of China.

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“…Investment -is money allocation with the purpose of obtaining some benefits. At present, this earnings type is quite popular, but you should not forget the nuances that affect the profitable investment (Krasilnikov, 2010;Sokolnikova et al, 2020;Voropai et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Investment Activity

Gladkih¹

2021

European Proceedings of Social and Behavioural Sciences

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Net-zero multi-energy systems for Siberian rural communities: A methodology to size thermal and electric storage units

Cited by 64 publications

References 26 publications

Intelligent Rural Tourism Environmental Suitability Evaluation System Based on a Wireless Sensor Network

Intelligent Rural Tourism Environmental Suitability Evaluation System Based on a Wireless Sensor Network

Design Optimization and Comparative Analysis of 100% Renewable Energy Systems for Residential Communities in Typical Areas of China When Considering Environmental and Economic Performance

Factors Affecting Investment Activity

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