جستجوی مقالات مرتبط با کلیدواژه « renewable energy » در نشریات گروه « صنایع »

Energy resources are one of the most important factors and elements of sustainable development in any country. Therefore, according to the increasing need of countries for development, the amount of use of renewable energies has been increasing, so that one of the indicators of development is energy consumption. One of the processes that can be effective in any country to consider this importance and apply it to all work processes is supply chain management. Considering the importance of this issue, in the present research, an effort has been made to model the supply chain and decision-making at the level of macro-planning, taking into account the three dimensions of economic, social and environmental sustainability. The basis of this research is a mathematical programming approach and a method for modeling the renewable energy supply chain. An attempt has been made to model by considering the dynamics of valuation of indicators in the form of a supply chain and by solving the model using Lingo software, we can achieve a more stable solution at the planning level of the supply chain. Considering the capability of the process, as a quality criterion in the evaluation process of renewable energy indicators, as well as valuing the indicators in the first stage with the help of the data envelopment analysis, are innovations of this model. The results of solving this problem are a set of indicators that according to the conditions of the problem and the importance of each indicator in each layer of the supply chain, the most important ones are selected and applied to develop a suitable strategic plan framework for the development of this type of energy in the country.

Reducing dependence on fossil fuels and environmental pollution is one of the most important incentives to produce fuels from renewable energy. Nowadays, renewable resources are being considered for reasons such as economic and environmental benets and easy access. They are used to generate electricity and clean fuels and heat. In recent years, biomass is considered as a renewable source, and its use is rapidly growing .Biofuels derived from biomass can play a key role nowadays as one of the main sources of renewable energies. Therefore, more and more researchers have been involved in modeling and optimizing biomass supply chains. Lignocellulosic biomass is a rich and renewable natural resource composed of cellulose, hemicellulose, and lignin. This source can replace fossil fuels to produce biofuels without compromising food security. Agricultural wastes are among the sustainable sources of lignocellulosic biomass, and a million tons of agricultural waste is produced, which is one of the major sources of biofuels. One of the obstacles to the use of these renewable sources is the cost associated with the supply chain such as transportation and production costs which are among the important costs in the supply chain. In this research, a singleobjective, multi-level and multi-period linear programing under uncertainty with chance constraints is presented to maximize the prot, in which hub is used as an intermediate level. Hub facilitates the transmission of biomass between supply chain levels. In the proposed mathematical model, lignocellulosic biomass was used to generate bioethanol and lignin. Sales of lignin as byproducts and multimodal transportation represent other ways to reduce costs. After sensitivity analysis, the results showed that increasing the sales price more than reducing transportation costs and increasing demand had a positive eect on the protability of the entire supply chain and the proposed model was economically justi- able.

In recent years, the uncontrolled increase in fossil energy consumption it has had far-reaching environmental and climate change consequences. Renewable energy technology and development the use of renewable energy sources is a sustainable and internationally agreed solution that the formation and development of the market of these technologies is a key issue and one of the bottlenecks in the development and widespread use of renewable energy. In this regard, this article analyzes the challenges of renewable energy technologies market development in Iran. By examining the development history of the market of renewable energy technologies and using the opinion of 11 experts in the fall of 1400, we extracted 20 key challenges of market formation regarding these technologies. Then by structural-interpretive modeling (ISM), the relationships between challenges, and their influence and dependence, are described benefiting from Micmac analysis. Based on our findings, challenges of renewable energy technologies market formation are categorized in 13 levels and their inter-relationship are elaborated. The most influential challenges include low-scale economics and the high risk of developing these technologies. Weaknesses in technology transfer infrastructure, limited advertising activities, poor government interactions with companies are other key challenges in developing the renewable energy technology market. The main policy implication of the findings of this study is the need for integrated attention to the challenges of market development and the level of each challenge and its impact on other challenges.

Policy-making with the aim of technology development is the basic function of governments and their intervention process in order to achieve results and realize economic and social prospects. Policy studies seek to describe and explain the policy of governments and how to influence and change it. The field of energy, including renewable energy, as well as the development of renewable technologies, as one of the most important areas of public issues, is always affected by direct and indirect government interventions. In this regard, the purpose of this article is to investigate the challenges affecting the policy-making process of renewable technology development in Iran. For this purpose, the method of structural-interpretive modeling has been used to express the interrelationships between these challenges. In addition, MICMAC analysis has been used to identify the influence and dependence of each of the challenges. After analyzing the data, the challenges affecting the policy-making process of renewable technology development were classified into five different levels and according to the interrelationships between them, it was presented as a structural-interpretive model. Also, after MICMAC analysis, the variables were divided into three groups of dependent, independent, and autonomous variables, and no variables were included in the group of linked variables. The findings show that "supporting successful innovators", "capital raising capacity", "uncertain start-up costs" and "proving the effectiveness of policies" are among the main challenges affecting the policy-making process of renewable technology development in Iran.