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

机译:连接到区域供热系统的塞尔维亚住宅建筑物的成本最优的能源改造

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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:建筑物是重要的能源消耗者,在减少一次能源消耗和提高能源效率方面具有显着潜力。能源效率项目的成本效益对其实施至关重要。整个欧盟都研究了不同能源改造措施组合的成本最优性,但塞尔维亚大多缺乏此类信息。本文考虑了与经济输入参数有关的三种不同情况,分析了与区域供热系统连接的塞尔维亚住宅建筑物的成本最优解决方案。此外,它还考虑了成本优化和相关成本以外的一次能源节省潜力。组合优化问题的结果确定了与最小的总体成本或最小的一次能源消耗相对应的最优解决方案。使用遗传算法和局部搜索解决了这些问题。将结果与通过灵敏度分析获得的结果进行比较。在成本最优的解决方案中,全球成本可以降低8-43%,同时节省30-76%的一次能源。节省一次能源的潜力更高-在所有分析的案例中都超过70%,但是还需要更高的全球成本,有时比没有改造的成本更高。本文还强调了结果对高度不确定的经济投入的高度依赖性。

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