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Cost-optimal energy retrofit for Serbian residential buildings connected to district heating systems

机译:塞尔维亚住宅建筑的成本最佳能源改装

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摘要

Buildings are significant energy consumers and provide a notable potential to reduce primary energy consumption and increase energy efficiency. Cost-effectiveness of energy efficiency projects is of crucial importance for their implementation. Cost-optimality of different packages of energy retrofit measures is studied across the EU, but Serbia mostly lacks such information. This paper analyzes cost-optimal solutions for Serbian residential buildings connected to district heating systems, considering three different scenarios related to the economic input parameters. Additionally, it considers the potential for primary energy savings beyond cost-optimality and associated costs. The optimal solutions, that correspond to minimal global cost or minimal primary energy consumption, are determined as the results of the combinatorial optimization problems. These problems are solved using the genetic algorithm and local search. The results are compared against the ones obtained with the sensitivity analysis. The global cost can be reduced by 8-43% in the cases of cost-optimal solutions, simultaneously saving 30-76% of primary energy. The potential to save primary energy is higher - it exceeds 70% in all the analyzed cases, but also requires higher global cost, sometimes larger than in the absence of the retrofit. The paper also emphasizes high dependencies of the results on very uncertain economic inputs.
机译:建筑物是显着的能源消费者,并提供了减少初级能源消耗并提高能源效率的显着潜力。能效项目的成本效益对其实施至关重要。在欧盟上研究了不同包装措施不同包装措施的成本最优性,但塞尔维亚主要缺乏此类信息。本文分析了与地区供热系统连接的塞尔维亚住宅建筑的成本最佳解决方案,考虑到与经济投入参数有关的三种不同情景。此外,它还考虑了超出成本最优性和相关成本的主要能源节省的潜力。与最小全球成本或最小能量消耗相对应的最佳解决方案被确定为组合优化问题的结果。使用遗传算法和本地搜索解决这些问题。将结果与敏感性分析所获得的结果进行比较。在成本最佳解决方案的情况下,全球成本可以减少8-43%,同时节省30-76%的主要能量。拯救一次能源的潜力较高 - 在所有分析的病例中超过70%,但也需要更高的全球成本,有时比在没有改装的情况下大。本文还强调了对经济投入非常不确定的结果的高依赖性。

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