机构改用高能效超低冷冻机可减少碳足迹并降低能源成本。

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-09-25 DOI:10.1089/bio.2024.0070
Dean Shehu, Mi-Ok Kim, John Rosendo, Nevan Krogan, David O Morgan, B Joseph Guglielmo
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引用次数: 0

摘要

导言:生物样本的储存是温室气体排放和机构能源成本的重要来源。用于生物样本存储的能源密集型超低温(ULT)冷冻机是碳排放的重要来源。获得能源之星认证的超低温冷冻机有可能减少碳足迹。目标:量化机构规模的冷冻箱转换计划对碳排放和能源成本的影响。方法:开发了一个 ULT 冷冻机能耗预测模型,用于识别和替换研究大楼中能效最差的冷冻机。多元线性回归因素包括使用年数、存储量和能源之星认证状态。在更换为能源之星型号之前和之后,对用电量和碳排放量进行了量化。制定了物流方法,以降低内容转移过程中冷冻样本暴露在环境温度下的风险。通过将电力负担转换为电力成本,得出了整个机构的能源成本。使用美国 EPA 温室气体当量计算器计算了 ULT 冷冻机运行的碳足迹评估。结果:试点项目显示,每年可减少 310,493 千瓦时的用电量,相当于 134 公吨的碳排放量。每年的电力成本减少了 55,889 美元,初始投资回收期为 8 年。利用试点结果,我们对整个机构的冰柜交换效益进行了建模。根据模型预测,将该机构剩余的 1119 台传统 ULT 冷冻机转换为能源之星型号后,每年的用电量将减少 7,911,549 千瓦时(碳排放量为 3423 公吨),每年可节省 140 多万美元。结论:我们的方法使大规模更换能源效率低下的超低温冷冻箱成为可能,减少了碳足迹,并展示了极具吸引力的投资回报,同时主动保护了宝贵的研究材料。
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Institutional Conversion to Energy-Efficient Ultra-Low Freezers Decreases Carbon Footprint and Reduces Energy Costs.

Introduction: The storage of biospecimens is a substantial source of greenhouse gas emissions and institutional energy costs. Energy-intensive ultra-low temperature (ULT) freezers used for biospecimen storage are a significant source of carbon emissions. ENERGY STAR-certified ULT freezers have the potential to decrease the carbon footprint. Objective: Quantify the impact of an institutional-scale freezer conversion program on carbon emissions and energy costs. Methods: A ULT freezer energy use prediction model was developed to identify and replace the most inefficient freezers in the research building for this pilot, and eventually institution-wide. Multiple linear regression factors included the number of years of use, storage volume, and ENERGY STAR certification status. Electrical usage and carbon emissions were quantified before and after replacement with ENERGY STAR models. Logistical methods were developed to decrease the risks of exposure of frozen samples to ambient temperature during content transfers. Institution-wide energy costs were derived by converting electrical burden to electrical costs. Carbon footprint assessment from ULT freezer operation was computed using the U.S. EPA Greenhouse Gas Equivalencies Calculator. Results: The pilot project revealed an annual reduction of 310,493 kilowatt hours of electrical usage, equivalent to 134 metric tons of carbon emissions. Annual electrical costs were reduced by $55,889 resulting in an 8-year payback on the initial investment. Using the pilot results, we modeled the benefit of the freezer exchange across the entire institution. The modeling predicted that conversion of the institution's remaining 1119 conventional ULT freezers to ENERGY STAR models would lower annual electrical usage by 7,911,549 kilowatt hours (3423 metric tons of carbon emissions), resulting in savings of over $1.4 million annually. Conclusion: Our methods make a large-scale initiative to replace energy-inefficient ULT freezers logistically possible, reduce carbon footprint, and demonstrate an attractive return on investment while proactively protecting valuable research materials.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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