استفاده از فرایند تحلیل شبکه ای برای ارزیابی استراتژی بازیافت مطلوب در صنعت بالادست انرژی خورشیدی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|6196||2012||12 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Energy and Buildings, Volume 54, November 2012, Pages 266–277
This research presents an evaluation model to evaluate the various recycling strategies to obtain the optimal recycling collection strategy in the upstream of the solar energy industry (SEI). The recycling process includes three major stages: (1) collection, (2) inspection, and (3) process. The proposed model combines the benefits, opportunities, costs and risks (BOCR) and balance scorecard (BSC) model. First, the evaluation model establishes a network with four perspectives, twenty indicators, and four strategies. Next, the analytic network process (ANP) is applied to the model to determine the relative weights of the evaluative criteria. Finally, the application of the multi-criteria decision making model will list the optimal strategies according to their rankings in the model. The results showed that the most important perspective is “Benefits;” the most crucial criterion of the 20 criteria is “economic and financial benefits;” and the best strategy is “In-house” (IH). Thus, when a business in the upstream of the SEI applies the model, the business will reveal that its optimal strategy for recycling and waste disposal shall be In-house treatment at the collection stage. These research results can provide both academic supports to the decision-makers in the upstream of the SEI and valuable guidance for evaluating their recycling programs to obtain optimal strategies in their actual administration of the recycling practices.
In recent years, the solar energy industry (SEI) is one of the most booming and cleanest resource industries in the world. The main advantage of using solar energy is its ability to access clean and environmentally friendly electricity without consuming fossil fuels  and . Solar energy does not deplete natural resources, does not, cause CO2 or other gaseous emissions to diffuse into the air, and does not generates liquid or solid waste products . Concerning sustainable development, the advantages of using solar energy, whether directly or indirectly derived, include following , ,  and : • No emissions of greenhouse (mainly CO2, NOx) or toxic gasses (SO2, particulates); • Reclamation of degraded land; • Reduction of transmission lines from electricity grids; • Improvement of quality of water resources; • Increase of regional/national energy independence; • Diversification and security of energy supply; • Acceleration of rural electrification in developing countries. Consequently, literatures approved that SEI is vital to the trend of global environmental concerns. Many countries are actively developing, enhancing and installing Photovoltaic (PV) electricity  (see Table 1); scholars also forecast that the quantity of PV installations will generate 70,000 Megawatts (MW) in 2020 and 140,000 MW in 2030.
نتیجه گیری انگلیسی
Nowadays, the environmental problem is an important issue in the international community. The development of natural energy has become imperative for every country. Even though solar energy is by far the cleanest method to generate electricity, the waste and used products generated by the PV plants cause environmental pollution. To make SEI the cleanest industry, the general public is working together with the government to enforce strict measures to ensure that their quality of life is not impaired by environmental pollution. Because various environmental concerns are interrelated, the application of the hierarchical analysis method cannot solve the problem. Literatures show that recycling the wastes and used products not only reduce environmental pollution but also improve the financial benefits and company advantages of the businesses that implement the recycling programs. Nevertheless, adoption and implementation of an optimal recycling strategy is a complex problem for the SEI decision-makers and administrators. This paper presents a method applying a combination of the ANP and the BOCR/BSC in the decision-making process to evaluate recycling strategies for obtaining optimal strategies in the SEI. The application of this method involves the formation of the super-matrix that specifies the relationships between elements within the process model and the generation of a limit matrix that prioritizes the relative weights for the elements. Especially when the administrators of the SEI are often not equipped with objective decision-making procedures or evaluation interdependent criteria to determine their best recycling programs and the risks of implementing an unfavorable recycling strategy are very high, the ANP that can solve the interdependence of all criteria becomes an effective tool for the decision-makers to obtain an accurate solution. Therefore, the proposed ANP-based model on decision making can help by prioritizing and weighing the intricate relations among competitive advantages involved in assessing the optimal recycling strategies. The proposed model and the corresponding research results can provide academic support to the decision-makers in the upstream of the SEI with a valuable objective guide for evaluating their recycling programs to obtain optimal strategies in their actual administration of recycling practices