旅游城市服务的水能关系:以芭堤雅市为例

Surasak Janchai, Aumnad Phdungsilp, Suparatchai Vorarat
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引用次数: 0

摘要

旅游城市通常比其他类型的城市消耗更多的城市服务,如水和能源资源。水能联系也导致了城市地区的二氧化碳排放。本研究的目的是调查泰国芭堤雅市供水系统、电力消耗和与能源相关的二氧化碳排放之间的联系。这些管网在省水务局(PWA)的管理下运作。在EPANET软件中对配水系统进行建模,对配水管道的供水能力进行模拟和检验,以保证配水系统的供水能力满足PWA的要求。从PWA中收集数据,包括供水压力和流量以及用电量。目前的配水系统由18个节点组成,流量为1000立方米/小时,压力为45米。用电量为720千瓦时/天,与能源相关的二氧化碳排放量为419.11千克二氧化碳当量/天。通过对配水系统的建模和分析,找到了电力消耗最小的最佳流量和压力。结果表明,最佳方案为流量1500 m3/h,压力50 m。因此,电力消耗为300千瓦时/天,而二氧化碳排放量减少到174.63千克二氧化碳当量/天。这项研究的结果将使PWA受益,分别减少相当于109兆瓦时/年和63.73吨二氧化碳当量的电力消耗和二氧化碳排放量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Water-Energy Nexus of Urban Services in a Tourism City: The Case of Pattaya City
Urban services, such as water and energy resources, are usually consumed more in a tourism city, than in other city types. The water-energy nexus also contributes to the CO2 emissions from urban areas. The purpose of this research is to investigate the link between water distribution systems, electricity consumption, and energy-related CO2 emissions from water networks in Pattaya city, Thailand. These networks operate under the Provincial Waterworks Authority (PWA). The water distribution system was modeled in EPANET software, to simulate and examine the water supply capacity in the service pipes, to ensure that it meets the requirement set by PWA. Data were collected from PWA, in terms of the pressure and flow rate of the water supply and the amount of electricity consumption. The current water distribution system consists of 18 junctions, a with flow rate of 1,000 m3/hour and pressure at 45 m. The electricity consumption is 720 kWh/day and energy-related CO2 emissions are 419.11 kgCO2eq/day. The water distribution system was modeled and analyzed to find the optimum flow rate and pressure for the least electricity consumption. The results show that the optimum solution is the flow rate of 1,500 m3/hour and a pressure at 50 m. Consequently, the electricity consumption is 300 kWh/day, while CO2 emissions are reduced to 174.63 kgCO2eq/day. The findings from this study would benefit the PWA by reducing the electricity consumption and CO2 emissions equivalent to 109 MWh/year and 63.73 tCO2eq, respectively.
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