基于时间序列的大学校园碳足迹预测:以ABUAD为例

S. S. Folorunso, M. Onibonoje, S. Wara
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摘要

能源是燃烧过程的产物,是二氧化碳和其他温室气体的主要来源。这些气体是造成全球气候变化的原因。尼日利亚的能源生产问题使能源用户,主要是工业和大学,完全依靠使用燃料发电机来满足其日常能源需求。我们的大学和学院可能是气候变化问题的主要贡献者,考虑到发电机燃烧化石燃料释放出大量的碳排放,以满足校园里每天发生的大量能源需求。碳足迹是个人、组织或机构的日常活动在一定时间内释放到大气中的温室气体的总和,以二氧化碳当量(CO2e)表示。本研究以阿菲巴巴罗拉大学阿多埃基蒂分校(ABUAD)为例,估计一所大学校园的碳足迹为16,946吨二氧化碳当量。从该机构的维修科和外地为估计数收集的活动数据进行了建模和训练,以预测未来三年的价值。利用排放换算因子进行评价,采用微软Excel软件MS 360进行预测,简单直观。预测结果表明,阿布德每月的碳足迹持续下降,并用于建议进一步改进现有清洁环境可持续性政策的战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time Series-Based Carbon Footprint Forecast in a University Campus: ABUAD as a case study
Energy, a product of the process of combustion, is a major source of carbon dioxide and other greenhouse gases. These gases are the causes of global climate change effects. The problem of energy generation in Nigeria has made energy users, majorly industries and universities, to depend solely on the use of fuel-powered energy generators for their daily energy demands. Our universities and colleges could be principal contributors to the problem of climate change considering the huge amount of carbon emissions released from the combustion of fossil fuel by generators to meet the volume of energy demanding activities that take place daily on the campuses. Carbon footprint is the sum of the greenhouse gases emissions released into the atmosphere at a time from an individual, organisation, or institution's daily activities, expressed as carbon dioxide equivalent (CO2e). This research work estimated the carbon footprint in a university campus, using Afe Babalola University Ado-Ekiti (ABUAD) as a case study to be 16,946tCO2e. The activities data collected for the estimate, from the institution's maintenance section and the field, was modelled and trained to forecast its future values for three years. The evaluation was done using emissions conversion factors, and MS 360, a Microsoft Excel software package, which is simple and straightforward was used for the forecast. The result of the prediction, which showed that ABUAD's monthly carbon footprint were declining consistently, was used to suggest strategies to further improve on the existing policies on clean environmental sustainability.
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