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A Systematic Approach to Predict the Economic and Environmental Effects of the Cost-Optimal Energy Renovation of a Historic Building District on the District Heating System

机译:一种系统的方法,可以预测区内供暖系统历史建筑区成本最佳能源改造的经济环境影响

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摘要

The economic and environmental performance of a district heating (DH) system is to a great extent affected by the size and dynamic behavior of the DH load. By implementing energy efficiency measures (EEMs) to increase a building’s thermal performance and by performing cost-optimal energy renovation, the operation of the DH system will be altered. This study presents a systematic approach consisting of building categorization, life cycle cost (LCC) optimization, building energy simulation and energy system optimization procedures, investigating the profitability and environmental performance of cost-optimal energy renovation of a historic building district on the DH system. The results show that the proposed approach can successfully be used to predict the economic and environmental effects of cost-optimal energy renovation of a building district on the local DH system. The results revealed that the financial gains of the district are between 186 MSEK (23%) and 218 MSEK (27%) and the financial losses for the DH system vary between 117−194 MSEK (5−8%). However, the suggested renovation measures decrease the local and global CO2 emissions by 71−75 metric ton of CO2eq./year (4%) and 3545−3727 metric ton of CO2eq./year (41−43%), respectively. Total primary energy use was decreased from 57.2 GWh/year to 52.0−52.2 GWh/year.
机译:区域供暖(DH)系统的经济和环境绩效在很大程度上受到DH负荷的规模和动态行为的影响。通过实施能效措施(EEMS)来提高建筑物的热性能并通过进行成本最佳的能量改造,将改变DH系统的操作。本研究提出了一种系统的方法,包括建筑分类,生命周期成本(LCC)优化,建筑能量仿真和能源系统优化程序,调查DH系统历史建筑区成本最佳能源改造的盈利能力和环境绩效。结果表明,该方法可以成功地用于预测本地DH系统建筑区成本最佳能源改造的经济和环境影响。结果表明,该地区的财政收益均为186名MSEK(23%)和218名MSEK(27%),DH系统的财务损失在117-194 MSEK(5-8%)之间变化。然而,建议的装修措施分别将本地和全球二氧化碳排放量减少71-75公吨的二氧化碳,分别减少了71-75公吨(4%)和3545-3727公吨的CO2EQ./Year(41-43%)。总部能源使用从57.2 GWH /年减少到52.0-52.2 GWH /年。

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