Application of the Linear Programming Method in the Construction of a Mathematical Model of Optimization Distributed Energy

Abstract

The Polish economy is facing a huge challenge regarding the future of energy in Poland. The current energy system is very inefficient, it consumes huge resources that, like countries with high energy efficiency, could be allocated to the development of low-carbon and renewable energy networks. At the moment, the Polish energy sector, related to the coal monoculture, lacks electricity and the entire transmission system is obsolete. The solution may be distributed energy, which can ultimately satisfy energy supplies in less urbanized areas and in rural areas, while guaranteeing the sustainable development of these areas. In order to take up the challenge of better understanding and explaining such a complex reality, it was decided that the research framework of this article will be distributed energy in the region. The aim of the article is to ensure energy security in the conditions of innovative, ecological and open to competition regional energy using local energy resources. Currently, it is believed that distributed energy can be an effective solution to the problem of conventional energy operation.

Local resilience for low‐carbon transition in Poland: Frameworks, conditions and opportunities for Central European countries

“…Dynamic approaches to estimate the impact of different technologies are needed to overcome technological challenges. For modelling, it is important to recognise quantitative indicators, ecological and socioeconomic risks and benefits, including the impact of distributed energy chains (Kiuila, 2018; Rabe et al, 2022; Standar et al, 2022). Thus, site‐specific studies at the city or regional scale can help in creating such modelling approaches.…”

“…The integration of economic and technological instruments of low‐carbon policies into the institutional realm was found plagued by a lack of support mechanisms and infrastructure to facilitate such integration. Tightening regulations, lack of spatial perspective in institutional policies, and focus on temporal changes, were other causes of institutional challenges (Dzikuć et al, 2021; Rabe et al, 2022; Robinson & Cole, 2015; Skoczkowski et al, 2018). A shift towards a spatial perspective can increase the transformational capacity by exploiting the multiple scales and temporal and spatial heterogeneity.…”

Sustainable Energy Consumption Model for Textile Industry Using Fully Intuitionistic Fuzzy Optimization Approach

“…Several optimization models for sustainable production and consumption of renewable energy are constructed using bilevel programming [21], mixed integer linear programming [22], simulation-optimization modelling [23], linear programming [24][25][26], and goal programming [27] approach. Nematian and Farzi [28] considered the case study of energy recovered from urban solid waste in Iran and developed energy and environmental management model using fuzzy LP approach.…”

Understanding and acceptance of systems engineering in automotive product development

“…(Vanek et al, 2017) Despite the facts that automotive industry has been facing with an immense technical revolution as well as new organizational challenges arise aiming to better meet the stakeholder needs, firms have barely applied this methodology so far. Although, an amount of studies concern imagined or realized effects of SE within the field, they mostly touch production cases or discuss the implementation on a theoretical basis (Dumitrescu et al, 2013;Gál et al, 2013;Fischer et al, 2020;Gyenge et al, 2021;Rabe et al, 2022). Even though the unequivocal benefit of SE appears in other industrial sectors including development activities, little evidence has been published on its utilization in APD (Henderson & Salado, 2021).…”