Carbon credit reduction: A techno-economic analysis of “drop-in” fuel production

碳足迹 碳排放税 自然资源经济学 收入 环境经济学 持续性 经济 环境科学 温室气体 生态学 会计 生物
作者
G. Velvizhi,Rishika Nair,Chandamita Goswami,Senthil Kumar Arumugam,Nagaraj P. Shetti,Tejraj M. Aminabhavi
出处
期刊:Environmental Pollution [Elsevier]
卷期号:316: 120507-120507 被引量:16
标识
DOI:10.1016/j.envpol.2022.120507
摘要

The current study elucidates the fundamentals of technical, financial, and environmental viability of the processes used for sustainable “drop-in” fuel generation. At present, the price of producing “drop-in” fuels is around two times as costly (5–6 USD/gallon) as the cost of fossil fuels (3 USD/gallon), especially when using second-generation feedstocks. Hence, this necessitates a comprehensive techno-economic understanding of the current technologies with respect to "drop–in"-fuel. This entitles technical-economic viability, and environmental sustainability to make the processes involved commercially viable. In this context, the present review addresses unique contrasts among the various processes involved in “drop-in” fuel production. Furthermore, principles and process flow of techno-economic analysis as well as environmental implications in terms of reduced carbon footprint and carbon credit are elucidated to discuss fundamentals of techno-economic analysis in terms of capital and operational expenditure, revenue, simulation, cash flow analysis, mass and energy balances with respect to evidence-based practices. Case specific techno-economic studies with current developments in this field of research with emphasis on software tools viz., Aspen Plus, Aspen HYSIS, Aspen Plus Economic Analyser (APEC) Aspen Icarus Process Evaluator (AIPE) are also highlighted. The study also emphasis on the carbon foot print of biofuels and its carbon credits (Carbon Offset Credits (COCs) and Carbon Reduction Credits (CRCs)) by leveraging a deep technical and robust business-oriented insights about the techno-economic analysis (TEA) exclusively for the biofuel production.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
山月鹿发布了新的文献求助10
1秒前
调皮的勒完成签到,获得积分10
1秒前
cmq完成签到 ,获得积分10
1秒前
jzhou88完成签到,获得积分10
1秒前
dogsday完成签到,获得积分10
2秒前
CHyaa完成签到,获得积分10
2秒前
学术小白发布了新的文献求助10
3秒前
xml发布了新的文献求助10
3秒前
星辰大海应助雷半双采纳,获得10
3秒前
4秒前
lgold完成签到,获得积分10
4秒前
ldk完成签到,获得积分10
4秒前
4秒前
4秒前
甜美的瑾瑜完成签到,获得积分10
4秒前
爱卿5271完成签到,获得积分10
5秒前
6秒前
在水一方应助wund采纳,获得10
7秒前
某只橘猫君完成签到,获得积分10
7秒前
年轻水风完成签到,获得积分20
7秒前
一味地丶逞强完成签到,获得积分10
7秒前
游艺完成签到 ,获得积分10
8秒前
岂识浊醪妙理完成签到,获得积分10
8秒前
一路向北4956完成签到,获得积分0
8秒前
可乐完成签到,获得积分20
8秒前
爆米花应助我来了采纳,获得10
8秒前
8秒前
大方的小海豚完成签到,获得积分10
8秒前
车水完成签到 ,获得积分10
9秒前
身处人海完成签到,获得积分10
9秒前
9秒前
9秒前
无私的黄豆完成签到 ,获得积分10
9秒前
甜甜友容完成签到,获得积分10
10秒前
11秒前
年轻水风发布了新的文献求助10
11秒前
11秒前
脑洞疼应助xml采纳,获得10
12秒前
Nidhogg发布了新的文献求助10
12秒前
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Virulence Mechanisms of Plant-Pathogenic Bacteria 500
白土三平研究 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3556269
求助须知:如何正确求助?哪些是违规求助? 3131813
关于积分的说明 9393417
捐赠科研通 2831860
什么是DOI,文献DOI怎么找? 1556519
邀请新用户注册赠送积分活动 726691
科研通“疑难数据库(出版商)”最低求助积分说明 716012