| Literature DB >> 36157342 |
Liang Li1, Fan Wu1,2, Yuanyu Cao1, Fei Cheng1, Dali Wang1, Huizhen Li1, Zhiqiang Yu3, Jing You1,2.
Abstract
While shale gas could complement the world's natural gas supply, its environmental tradeoffs and sustainability potential should be cautiously assessed before using it to satisfy future energy needs. Shale gas development in China is still in its infancy but has been progressing by the Central Government at a fast pace nowadays. Advanced experience from North America would greatly benefit sustainable design and decision-making for energy development in China. However, the lack of consistency concerning internal and external parameters among previous investigations does not allow an integrated impact comparison among shale gas-rich countries. Herein, we applied a meta-analysis to harmonize environmental tradeoff data through a comprehensive literature review. Greenhouse gas emission, water consumption, and energy demand were selected as environmental tradeoff indicators during shale gas production. Data harmonization suggested that environmental tradeoffs ranged from 5.6 to 37.4 g CO2-eq, 11.0-119.7 mL water, and 0.027-0.127 MJ energy to produce 1 MJ shale gas worldwide. Furthermore, sustainable development indexes (SDIs) for shale gas exploitation in China were analyzed and compared to the United States and the United Kingdom by considering environment, economy, and social demand through an analytic hierarchy process. The United States and China elicit higher SDIs than the United Kingdom, indicating higher feasibility for shale gas exploitation. Although China has relatively low scores in the environmental aspect, large reservoirs and high future market demand make Chinese shale gas favorable in the social demand aspect. Region-specific SDI characteristics identified among representative countries could improve the sustainability potential of regional development and global energy supply.Entities:
Keywords: Analytic hierarchy process; Environmental tradeoffs; Life cycle assessment; Meta-analysis; Unconventional natural gas
Year: 2022 PMID: 36157342 PMCID: PMC9500373 DOI: 10.1016/j.ese.2022.100202
Source DB: PubMed Journal: Environ Sci Ecotechnol ISSN: 2666-4984
Fig. 1System overview of shale gas development from cradle to grave. Solid lines indicate stages considered in the present analysis. Black dash arrows in the upstream stage indicate well recompletion.
Conversion factors of different functional units to MJ shale gas. EUR: estimated ultimate recovery.
| Functional unit | Conversion factor |
|---|---|
| 1 kWh electricity | 1 kWh electricity = |
| 1 well shale gas | 1 well shale gas = 1 × EUR × Heat value MJ shale gas |
| 1 mcf or m3 shale gas | 1 mcf or m3 shale gas = 1 × Heat value MJ shale gas |
Power efficiency is assumed to be 50% if not provided in the original study.
Heat value is assumed to be 1040 MJ per million cubic feet (mcf) or 36.73 MJ m−3 if it is not provided in the original study [32].
Fig. 2Analytic hierarchy process structure for shale gas sustainable assessment. The sustainable development potential of shale gas exploitation is assessed by generating a sustainable development index (SDI). The lowest level of the hierarchy is three representative countries, including the US, the UK, and China.
Fig. 3Environmental tradeoff comparisons among different shale gas development studies based on a systematic literature review. a, GHG emission (g CO2-eq per MJ of shale gas) [[15], [16], [17], [18], [19], [20], [21],23,33,[41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58]]; b, water consumption (mL per MJ of shale gas) [8,[16], [17], [18],20,46,47,49,51,52,[59], [60], [61], [62], [63], [64], [65], [66], [67], [68]]; c, energy demand (MJ per MJ of shale gas) [16,17,23,45,47,51,[69], [70], [71], [72]]. When a color is not shown in the figure for a site, it suggests the corresponding phase was not considered in the original research.
Fig. 4Environmental tradeoff comparisons between published original and harmonized results for shale gas exploitation among various countries. Original results (pink bars) were only adjusted for units. a, GHG emission (g CO2-eq per MJ of shale gas); b, water consumption (mL per MJ of shale gas); c, energy demand (MJ per MJ of shale gas). Harmonized results (blue bars) were adjusted using meta-analysis. Scattered dots next to each bar represent corresponding data points before (pink) and after (blue) harmonization.
Fig. 5Functional relationships between each sub-criterion and sustainable development indexes (SDIs) are plotted based on equations (3), (4). a, GHG emission; b, water consumption; c, energy demand; d, imported price; e, exploitation cost; f, natural gas demand/supply; g, shale gas production volume; h, shale gas reservoir; i, future trend. Vertical dash lines represent the maximum value (x) of each sub-criterion that could potentially achieve based on the current best scenarios (optimized data from all three countries were adopted).
Fig. 6Comparison of SDI and main-criterion index among the US, the UK, and China (n indicates the sample size generated through AHP): a–b, scenario 1 (environment-emphasized); c–d, scenario 2 (balanced case). Error bars represent uncertainties of each index. n represents the sample size of SDI, which is obtained from different results calculated by equations (3), (4). Scattered dots next to each bar represent corresponding data points calculated by AHP under each main criterion for scenarios 1 (b) and 2 (d).
Fig. 7Sustainable development potential of shale gas exploitation in the US, the UK, and China based on median sub-criterion indexes in analytic hierarchy process: a, scenario 1; b, scenario 2. GHG: greenhouse gas emission; WC: water consumption; ED: energy demand; IP: natural gas imported price; EC: shale gas exploitation cost; D/P: domestic natural demand versus production; SP: shale gas production volume; SR: shale gas reservoir; FT: future trends of natural gas demand.