Layza Maria Vimieiro Marques De Lima, Cleide Maria Vimieiro Marques, P. Machado, Elias José de Rezende Freitas
{"title":"Optimized allocation of self-generated energy: a case study of a brazilian company","authors":"Layza Maria Vimieiro Marques De Lima, Cleide Maria Vimieiro Marques, P. Machado, Elias José de Rezende Freitas","doi":"10.55905/rcssv12n2-024","DOIUrl":null,"url":null,"abstract":"Usually, agents in the Free Energy Contracting Environment (ACL) in Brazil, as self-producers and independent producers with their loads, must be carried out an accounting routine named allocation of self-generated energy (AGP). Considering the lack of specific works to solve such typical and necessary routines of these agents, this work presents a methodology to optimize the allocation of self-generated energy. The main contributions of this work are: (i) the elaboration of the allocation of self-generated mechanism as an optimization problem; (ii) development of a free software that provides the values to be allocated to each consumer unit in order to obtain the greatest gain with the distribution of the agent’s generation and (iii) enable an allocation analysis in order to obtain the predictability of earnings with allocation in a given future period. In case study, we used data based on a large Brazilian organization in the Steel/Metallurgy/Mining sectors. In a comparative analysis, the simulation using the optimization process guarantee a financial gain of 17%, which represents savings of 3.6 million in Brazilian currency.","PeriodicalId":144733,"journal":{"name":"Revista Caribeña de Ciencias Sociales","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Caribeña de Ciencias Sociales","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55905/rcssv12n2-024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Usually, agents in the Free Energy Contracting Environment (ACL) in Brazil, as self-producers and independent producers with their loads, must be carried out an accounting routine named allocation of self-generated energy (AGP). Considering the lack of specific works to solve such typical and necessary routines of these agents, this work presents a methodology to optimize the allocation of self-generated energy. The main contributions of this work are: (i) the elaboration of the allocation of self-generated mechanism as an optimization problem; (ii) development of a free software that provides the values to be allocated to each consumer unit in order to obtain the greatest gain with the distribution of the agent’s generation and (iii) enable an allocation analysis in order to obtain the predictability of earnings with allocation in a given future period. In case study, we used data based on a large Brazilian organization in the Steel/Metallurgy/Mining sectors. In a comparative analysis, the simulation using the optimization process guarantee a financial gain of 17%, which represents savings of 3.6 million in Brazilian currency.
通常情况下,巴西自由能源承包环境(Free Energy Contracting Environment, ACL)中的代理,作为自产者和独立生产者及其负荷,必须进行一个名为自产能源分配(AGP)的会计程序。针对这些智能体的典型和必要的例程求解缺乏具体的工作,本文提出了一种优化自生能量分配的方法。本工作的主要贡献有:(1)将自生成机制的配置作为一个优化问题加以阐述;(ii)开发一个免费软件,提供分配给每个消费者单位的价值,以便通过代理的发电量分布获得最大的收益;(iii)进行分配分析,以便在给定的未来时期内获得分配收益的可预测性。在案例研究中,我们使用了基于巴西钢铁/冶金/采矿部门的大型组织的数据。在对比分析中,使用优化过程的模拟保证了17%的财务收益,这意味着节省了360万巴西货币。