Sustainability Evaluation of Modern Photovoltaic Agriculture Based on Interval Type-2 Fuzzy AHP-TOPSIS and Least Squares Support Vector Machine Optimized by Fireworks Algorithm

Photovoltaics(PV)has been combined with many other industries,such as agriculture.But there are many problems for the sustainability of PV agriculture.Timely and accurate sustainability evaluation of modern photovoltaic agriculture is of great significance for accelerating the sustainable development of modern photovoltaic agriculture.In order to improve the timeliness and accuracy of evaluation,this paper proposes an evaluation model based on interval type-2 Fuzzy AHP-TOPSIS and least squares support vector machine optimized by fireworks algorithm.Firstly,the criteria system of modern photovoltaic agriculture sustainability is constructed from three dimensions including technology sustainability,economic sustainability and social sustainability.Then,analytic hierarchy process(AHP)and technique for order preference by similarity to an ideal solution(TOPSIS)methods are improved by using interval type-2 fuzzy theory,and the traditional evaluation model based on interval type-2 Fuzzy AHP-TOPSIS is obtained,and the improved model is used for comprehensive evaluation.After that,the optimal parameters of least squares support vector machine(LSSVM)model are obtained by Fireworks algorithm(FWA)training,and the intelligent evaluationmodel for the sustainability of modern photovoltaic agriculture is constructed to realize fast and intelligent calculation.Finally,an empirical analysis is conducted to demonstrate the scientificity and accuracy of the proposed model.This study is conducive to the comprehensive evaluation of the sustainability of modern photovoltaic agriculture,and can provide decision-making support for more reasonable development model in the future of modern photovoltaic agriculture.

Sustainability Intelligent Evaluation of Regional Microgrid Interconnection System Based on Combination Entropy Weight Rank Order-TOPSIS and NILA-KELM

Sustainability evaluation of regional microgrid interconnection system is conducive to a profound and comprehensive understanding of the impact of interconnection system projects.In order to realize the comprehensive and scientific intelligent evaluation of the system,this paper proposes an evaluation model based on combination entropy weight rank order-technique for order preference by similarity to an ideal solution(TOPSIS)and Niche Immune Lion Algorithm-Extreme Learning Machine with Kernel(NILAKELM).Firstly,the sustainability evaluation indicator system of the regional microgrid interconnection system is constructed fromfour aspects of economic,environmental,social,and technical characteristics,and the evaluation indicators are explained.Then,the classical evaluationmodel based on TOPSIS is constructed,and the entropy weight method and rank order method(RO)are coupled to obtain the indicator weight.The niche immune algorithm is used to improve the lion algorithm,and the improved lion algorithm is used to optimize the parameters of KELM,and the intelligent evaluation model based on NILA-KELM is obtained to realize fast real-time calculation.Finally,the scientificity and accuracy of themodel proposed in this paper are verified.The model proposed in this paper has the lowest RMSE,MAE and RE values,indicating that its intelligent evaluation results are the most accurate.This study is conducive to the horizontal comparison of the overall performance of regional microgrid interconnection system projects,helps investors to choose the most promising project scheme,and helps the government to find feasible project.

Ecological Network Analysis Quantifying the Sustainability of Regional Economies: A Case Study of Guangdong Province in China

To meet the challenge of sustainable development, sustainability must be made. Ecological network analysis(ENA) was introduced in this paper as an approach to quantitatively measure the growth, development, and sustainability of an economic system. The Guangdong economic networks from 1987 to 2010 were analyzed by applying the ENA approach. Firstly, a currency flow network among economic sectors was constructed to represent the Guangdong economic system by adapting the input-output(I-O) table data. Then, the network indicators from the ENA framework involving the total system throughput(TST), average mutual information(AMI), ascendency(A), redundancy(R) and development capacity(C) were calculated. Lastly, the network indicators were analyzed to acquire the overall features of Guangdong's economic operations during 1987–2010. The results are as follows: the trends of the network indicators show that the size of the Guangdong economic network grows exponentially at a high rate during 1987–2010, whereas its efficiency does not present a clear trend over its whole period. The growth is the main characteristic of the Guangdong economy during 1987–2010, with no clear evidence regarding its development. The quantitative results of the network also confirmed that the growth contributed to a great majority of the Guangdong economy during 1987–2010, whereas the development's contribution was tiny during the same period. The average value of the sustainability indicator(α) of the Guangdong economic network was 0.222 during 1987–2010, which is less than the theoretically optimal value of 0.37 for a sustainable human-influenced system. The results suggest that the Guangdong economic system needs a further autocatalysis to improve its efficiency to support the system maintaining a sustainable evolvement.

Urban ecological sustainability assessment of the human-made system and natural system based on emergy and GIS approach

Due to the complexity of sustainable urban research,the environmental sustainability was assessed.Taking the sponge city as an example,the case study was conducted based on the integrated geographic information system(GIS)and emergy methods.The results demonstrate that the emergy of agricultural crops,major industrial products,comprehensive energy products,imports and exports,waste products and increased natural system emergy are the decisive factors for the sustainability assessment.Agricultural crops are the primary contributor,which accounts for 48.9%of the total emergy amount.Urban solid waste has a self-evident superiority in the waste products emergy proportion.Surface water and vegetal biomass emergy possess the pivotal consequences,far higher than soil organic matter.The sewage treatment stations(0.11%)play a small role in the sustainability assessment of the sponge city.The emergy sustainability index is 0.02181,which indicates poor environmental sustainability.According to the study results,increasing renewable energy input proportion and adopting the vegetal biomass of high unit emergy values(UEVs)can improve the sustainability level.

The Research of Project Evaluation System of R＆D Based on Cycle Economy

The evaluation system of R＆D project beforehand, in the course and afterwards embodies the principle and standard of the cycle economy, which can not only avoid the negative effects caused, by the utilization of the achievements of R＆D project in the industry but also point out the direction and criterion of R＆D activities for the enterprises, which also provides the ＂model＂ that can be used for reference for maintaining the durable competitiveness of the enterprises.

A new approach to natural capital sustainable development

The three-dimension(3D) ecological footprint makes the analysis of the relationships between the demand and supply of natural capital more credible by importing footprint depth and footprint size.This article used China's regions as the object to analyze the high-level sustainability of the natural capital from the view of "ecology-efficiency-fairness" multidimensional framework.Research showed that China's ecological footprint has risen while bio-capacity per capita has descended in recent 20 years.This paper also discusses the spatial distribution of China's natural capital ecological sustainability,efficiency sustainability and fairness sustainability.Finally,it builds multi-criteria evaluation(MCE) models to get multidimensional sustainability framework taking ecological sustainability,efficiency sustainability,and fairness sustainability into consideration.

Sustainable Development of Wannian Rice Cultivation Culture System

Based on the research on the relevant background and significance of the sustainable development of agricultural cultural heritage,taking Wannian rice cultivation culture system as an example and its natural environment,traditional agricultural production activities,unique cultural patterns,socio-economic development and protection,and protection and development approach as the basis for evaluation,an evaluation index system for the sustainable development of Wannian rice cultivation culture system was constructed.Each index was quantified and standardized,and their weight was determined through the analytic hierarchy process to obtain the comprehensive evaluation value of the sustainable development of Wannian rice cultivation culture system.The evaluation value was analyzed to propose the main issues in the sustainable development of Wannian rice cultivation culture.