Photovoltaic solar power plant investment optimization model for economic external balance: Model of Turkey

2018 ◽  
Vol 30 (3) ◽  
pp. 522-541 ◽  
Author(s):  
Mehmet Alagöz ◽  
Nihal Yokuş ◽  
Turgut Yokuş

Through using a linear optimization model that interprets solar energy and current deficit parameters, investment plans were performed for countries which have current deficit problem of energy source. The specifics of the study are due to the linear optimization model, which reveals the current deficit and solar energy together for the investment strategy. While the model is constituted, without affecting the existed current account, some parameters based on such as profit transfers for foreign investments, payments of interest for domestic investments, import rates for photovoltaic solar panels, solar energy electricity production values, electricity demand projection for the future and import resource rates for electricity production. In the framework of these constraints of the model, the effects of solar systems on domestic investment and foreign direct investments on current account balance are analyzed for the period of 2017–2030 in Turkey. In the application of the model in Turkey to reduce the current deficit, this is concluded that the solar energy is a significant opportunity. In addition, the linear optimization model is considered as a reference for countries facing energy-related current deficit problems.

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1509 ◽  
Author(s):  
Sinem Yapar Saçık ◽  
Nihal Yokuş ◽  
Mehmet Alagöz ◽  
Turgut Yokuş

In this study, a methodology was suggested for wind and solar energy investment plans through linear optimization model for the countries with an energy-based current deficit problem. The originality of the study is that it is a renewable energy investment model based on the functioning of the balance of payments for current deficit reduction, which has not previously been encountered in the literature. While creating the model, without causing external economic imbalance, certain parameters were taken into consideration such as profit transfers for the foreign direct investments, interest payments for the domestic investments, import rates for the wind and solar energy systems, energy electric power production values, electric power load balance, electricity transmission infrastructure, CO2 emission, future electric power demand projection, and import source rates in the electric power production. It was proven that the model, for the 2019–2030 period in Turkey, not only is an opportunity for decreasing the current deficit but also ensures reaching the CO2 emission reduction target. Additionally, through the investments in wind and solar energy, it was calculated that fossil-based electric power production will decrease by 80%, and a CO2 reduction will be provided, which is equivalent of 100 million tonnes GWh natural gas. As a more general result, an optimization model was created which provides a solution for countries coping with energy-based current deficit in economic terms, energy-based air pollution in environmental terms, and renewable energy technology insufficiency.


Author(s):  
Nazanin Esmaeili ◽  
Ebrahim Teimoury ◽  
Fahimeh Pourmohammadi

In today's competitive world, the quality of after-sales services plays a significant role in customer satisfaction and customer retention. Some after-sales activities require spare parts and owing to the importance of customer satisfaction, the needed spare parts must be supplied until the end of the warranty period. In this study, a mixed-integer linear optimization model is presented to redesign and plan the sale and after-sales services supply chain that addresses the challenges of supplying spare parts after the production is stopped due to demand reduction. Three different options are considered for supplying spare parts, including production/procurement of extra parts while the product is being produced, remanufacturing, and procurement of parts just in time they are needed. Considering the challenges of supplying spare parts for after-sales services based on the product's life cycle is one contribution of this paper. Also, this paper addresses the uncertainties associated with different parameters through Mulvey's scenario-based optimization approach. Applicability of the model is investigated using a numerical example from the literature. The results indicate that the production/procurement of extra parts and remanufacturing are preferred to the third option. Moreover, remanufacturing is recommended when the remanufacturing cost is less than 23% of the production cost.


Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1986
Author(s):  
María Sierra-Paradinas ◽  
Antonio Alonso-Ayuso ◽  
Francisco Javier Martín-Campo ◽  
Francisco Rodríguez-Calo ◽  
Enrique Lasso

The problem concerning facilities delocation in the retail sector is addressed in this paper by proposing a novel mixed 0-1 linear optimization model. For this purpose, the aim of the problem is to decide whether to close existing stores or consider an alternative type of store management policy aimed at optimizing the profit of the entire retail network. Each management policy has a different repercussion on the final profit of the stores due to the different margins obtained from the customers. Furthermore, closing stores can cause customers to leave the whole retail network according to their behavior. This behavior is brought about through their tendency to abandon this network. There are capacity constraints imposed depending on the number of stores that should stay open and cease operation costs, customer behavior and final prices. These constraints depend on the type of management policy implemented by the store. Due to the commercial requirements concerning customer behavior, a set of non-linear constraints appears in the definition of the model. Classical Fortet inequalities are used in order to linearize the constraints and, therefore, obtain a mixed 0-1 linear optimization model. As a result of the size of the network, border constraints have been imposed to obtain results in a reasonable computing time. The model implementation is done by introducing smart sets of indices to reduce the number of constraints and variables. Finally, the computational results are presented using data from a real-world case study and, additionally, a set of computational experiments using data randomly generated as shown.


2019 ◽  
Vol 26 (5) ◽  
pp. 1633-1654
Author(s):  
John J. Quiroga‐Orozco ◽  
J.M. Valério de Carvalho ◽  
Robinson S. V. Hoto

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