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Updated: Jul 1, 2025

08:20
In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
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优化100%可再生能源的选址选择
1Department of Industrial Engineering, Faculty of Engineering, Tarsus University, Tarsus, 33400, Mersin, Turkey. onurderse@tarsus.edu.tr.
概括
本研究介绍了土耳其到2050年的最佳可再生能源 (RES) 计划. 风能是优先考虑的,其次是生物质和水电,以最大限度地提高可持续性和降低成本.
科学领域:
- 能源政策 能源政策
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 可再生能源 (RES) 的日益普及提供了环境和可持续性的好处.
- 土耳其的能源格局需要长期整合可再生能源的战略规划.
- 准确的能源消耗预测对于有效部署可再生能源至关重要.
研究的目的:
- 为土耳其所有81个省份制定一个长期最佳的可再生能源解决战略计划.
- 整合能源消耗预测与风险分析,以建立一个可靠的规划模型.
- 优化可再生能源的部署,考虑包括成本,时间,环境影响和风险在内的多个目标.
主要方法:
- 使用regARIMA方法进行能源消耗预测.
- 开发一个加权目标编程模型,整合regARIMA输出和风险分析.
- 使用GAMS 23.5软件进行优化,以解决多目标模型.
主要成果:
- 在预测能源消耗方面,regARIMA模型表现出高准确度 (MAPE<4%).
- 最佳的可再生能源结算策略优先考虑风能 (53%),其次是生物质 (23%) 和水电 (13%).
- 该模型成功地将安装时间,成本和风险降到最低,同时最大限度地减少碳排放和使用时间.
结论:
- 综合加权目标规划模型为土耳其的可再生能源解决方案规划提供了有效的解决方案.
- 拟议的战略确保了所有省份的全面覆盖,利用现实世界的数据.
- 这些发现支持为可持续和成本效益高的可再生能源基础设施发展做出明智决策.
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