Guest Editorial: The Engineering Approach to Carbon-Emissions Management

2021 ◽  
Vol 73 (07) ◽  
pp. 9-10
Author(s):  
D. Nathan Meehan

Every engineer and manager knows that you can only improve performance that you measure and track. That is why we have key performance indicators (KPIs). Similarly, we can only optimize what we can predict. If we really want to lower carbon emissions, we will need to implement a consistent method of measuring and tracking the right data. There are challenges in improving what we track because tracking comes from so many sources. We need to work on optimizing what we predict if we are going to start making high-value decisions around emissions. Carbon emissions occur during all phases of the hydrocarbon extraction industry right through to the final use of the product. We call the total life cycle of emissions “well to wheels.” SPE members are generally focused on one phase of the carbon emissions. The largest contribution is the combustion and use of produced oil, from refinery to wheels. This is typically about 350–400 kg of CO2 equivalent per barrel. We use CO2 equivalent to include the greenhouse-gas (GHG) impact of methane. Then, there is the energy and carbon expenditure of producing that hydrocarbon, well to refinery. This includes drilling, completions, production, and transportation. Carbon emissions from the wells to refinery vary from less than 25 kg to more than 300 kg CO2 equivalent per barrel, aver-aging about 100. Flaring and fugitive emissions are generally the largest contributors to these emissions. Environmental, social, and governance (ESG) activism is driving changes in behavior for public investors, private investors, lenders, and management teams. When will the measuring be done? Who will set the industry standards? How will the model be developed? Carbon emissions from shale production vary dramatically and are also driven by flaring and fugitives. While flaring is preferable to venting, most low-volume flares are inefficient. Operators flare for a variety of reasons including lack of pipeline capacity, upsets, and low value for natural gas. Fugitive emissions also enter the equation. Fugitive emissions are any leakage or irregular release to the atmosphere of natural gas. This can be caused by human error, mechanical operations (such as pneumatic actuators), or faulty equipment. Fugitive emissions and flaring both factor into the well-to-reservoir carbon footprint. Many operators already report the carbon intensity of their activities, usually prior-year activities. Carbon intensity is the carbon emissions per unit of energy or per barrel. A variety of regulatory bodies and others argue the definitions of such reporting. We are arguing for reporting estimated carbon intensity of reserves.

Author(s):  
Jamie Risner ◽  
Anna Sutherland

The average carbon intensity (gCO2e/kWh) of electricity provided by the UK National Grid is decreasing and becoming more time variable. This paper reviews the impact on energy calculations of using various levels of data resolution (half hourly, daily, monthly and annual) and of moving to region specific data. This analysis is in two parts, one focused on the potential impact on Part L assessments and the other on reported carbon emissions for existing buildings. Analysis demonstrated that an increase in calculated emissions of up to 12% is possible when using an emissions calculation methodology employing higher resolution grid carbon intensity data. Regional analysis indicated an even larger calculation discrepancy, with some regions annual emissions increasing by a factor of ten as compared to other regions. This paper proposes a path forward for the industry to improve the accuracy of analysis by using better data sources. The proposed change in calculation methodology is analogous to moving from using an annual average external temperature to using a CIBSE weather profile for a specific city or using a future weather file. Practical application: This paper aims to quantify the inaccuracy of a calculation methodology in common use in the industry and key to building regulations (specifically Building Regulations Part L – Conservation of Fuel and Power) – translating electricity consumption into carbon emissions. It proposes an alternative methodology which improves the accuracy of the calculation based on improved data inputs.


2014 ◽  
Vol 525 ◽  
pp. 227-231 ◽  
Author(s):  
Min Xiao ◽  
Chun Long Feng

In order to solve the problem of Diesel natural gas dual fuel engine, such as power reduction, low charging efficiency, the conception of diesel engine fueled with pilot-ignited directly-injected liquefied natural gas is put forward. On the basis of this theory, a medium speed diesel of the marine is refitted into dual fuel engine, in order to keep original power, decrease the temperature of combustion and reduce emission. The LNG injection timing, duration of LNG injection and the different ratios the pilot diesel to total energy are studied the method of AVL FIRE software. Conclusions are as follows: When the different ratios pilot diesel to total energy is 0.5%, the engine can not work; Delaying the LNG injection timing, shortening the LNG injection duration and choose the right ratios pilot diesel to total energy can reach the indicated power of original machine, and the NOx emissions level will be greatly reduced.


2021 ◽  
Author(s):  
baoling jin ◽  
ying Han

Abstract The manufacturing industry directly reflects national productivity, and it is also an industry with serious carbon emissions, which has attracted wide attention. This study decomposes the influential factors on carbon emissions in China’s manufacturing industry from 1995 to 2018 into industry value added (IVA), energy consumption (E), fixed asset investment (FAI), carbon productivity (CP), energy structure (EC), energy intensity (EI), investment carbon intensity (ICI) and investment efficiency (IE) by Generalized Divisia Index Model (GDIM). The decoupling analysis is carried out to investigate the decoupling states of the manufacturing industry under the pressure of "low carbon" and "economy.” Considering the technological heterogeneity, we study the influential factors and decoupling status of the light industry and the heavy industry. The results show that: (1) Carbon emissions of the manufacturing industry present an upward trend, and the heavy industry is the main contributor. (2) Fixed asset investment (FAI), industry value added (IVA) are the driving forces of carbon emissions. Investment carbon intensity (ICI), carbon productivity (CP), investment efficiency (IE), and energy intensity (EI) have inhibitory effects. The impact of the energy consumption (E) and energy structure (EC) are fluctuating. (3) The decoupling state of the manufacturing industry has improved. Fixed asset investment (FAI), industry value added (IVA) hinder the decoupling; carbon productivity (CP), investment carbon intensity (ICI), investment efficiency (IE), and energy intensity (EI) promote the decoupling.


2014 ◽  
Vol 675-677 ◽  
pp. 1865-1868 ◽  
Author(s):  
Han Li ◽  
Lin Wu

LMDI (Logarithmic Mean Divisia Index) was used to estimates the carbon emission of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. The results showed that carbon emissions of industrial energy consumption present the overall upward trend in Hubei Province, where the carbon emissions of coal consumption are the main factors, this shows that the industry of Hubei is extensive development withhigh energy consumption. In addition, industrial carbon intensity has a fluctuated downward trend in 2011-2012; this shows that Hubei province has made ​​a positive change on control carbon emissions of energy consumption.


Author(s):  
Ing. Martin A. Moser, MA. MSc

Money plays an important role, both on a social and an individual level. Secure forms of investment hardly bring any interest. Also, state financial support has changed and will continue to do so in the future. A constructive, forward-looking approach to private finances and long-term wealth accumulation are therefore becoming increasingly important. Finding the right system at the right time is a challenge that small private investors have to face continuously. On the internet, in magazines or television programs, investors will find a flood of information. The fact that unlimited amounts of data can be accessed, often creates more confusion than perspective. This applies particularly to the investment business. Based on a literature review, this article provides an overview of current forms of investment for small private investors and uses qualitative research via problem-centered interviews to critically compare their advantages and disadvantages in times of low interest rates.


2018 ◽  
Vol 16 (1) ◽  
pp. 51-64
Author(s):  
Miftachul Ulum

Abstract: In every decision made by the business, it is always confronted with an uncertainty that we know as risks. Stakeholders are those who influence or will be influenced by the decision. Statistically risk can be formulated as a deviation. The magnitude of risk can be measured by variance (?2) or standard deviation (?). Through prudential principles, the types and forms of risk can be avoided or minimized. The carelessness is a factor of human error which is a factor beyond human reason. Humans are only able to put the basic concept of prudence in making decisions but all the terms of haqiqi will be the right of the Almighty.  Abstraksi : Setiap pengambilan keputusan yang dilakukan oleh pelaku bisnis selalu dihadapkan  pada suatu ketidakpastian yang kita kenal dengan risiko. Stakeholder sebagai pemangku kepentingan merupakan pihak yang mempengaruhi atau yang akan dipengaruhi  keputusan tersebut. Secara statistik risiko dapat dirumuskan sebagai penyimpangan, besarnya risiko dapat diukur dengan variance (?2) atau standar deviasi. Melalui prinsip kehati-hatian jenis dan bentuk risiko dapat dihindari atau bahkan dapat diminimalkan. Kelalaian adalah   merupakan suatu  faktor yang diluar nalar manusia. Manusia hanya meletakkan konsep dasar kehati-hatian dalam mengambil keputusan namun ketentuan secara haqiqi menjadi hak Yang Maha Kuasa.


2017 ◽  
Vol 50 (2) ◽  
pp. 845 ◽  
Author(s):  
V. Marinos ◽  
G. Stoumpos ◽  
G. Papathanassiou ◽  
N. Grendas ◽  
D. Papouli ◽  
...  

Landslides represent a significant hazard for pipelines because they can generate permanent ground displacement and tend to result in complete failure or significant leaks, major environmental impacts and long periods of service disruption. Hence, landslide-related incidents are regarded as a significant operational risk. The paper mainly focuses on the assessment of landslide hazard along or across a natural gas pipeline project and on the identification of these hazards, mostly in the field. Whether the “expected” landslide event reaches the Right of Way (RoW) and impacts the pipeline, is influenced by the nature and size of the expected landslide event, controlled by the site geology and geomorphology, the proximity of the existing landslide feature to the pipeline and the position of the pipeline relative to the landslide. Landslide hazard assessment is used to identify “hot spots” along the pipeline route where re-routing or risk reduction measures must be prioritised. When landslides that can threat the pipeline integrity cannot be avoided, more detailed site evaluation is required to support the design and construction of mitigation measures.


2016 ◽  
Vol 12 (10) ◽  
pp. 485
Author(s):  
Maryam Ishaku Gwangndi ◽  
Yahaya Abubakar Muhammad ◽  
Sule Musa Tagi

When natural habitats are destroyed or natural resources are depleted the environment is degraded. Environmental degradation results from factors such as urbanisation, population growth, intensification of agriculture, rising energy use and transportation, climate change, pollutions arising from many sources such as technological activities. It is explored that as a result of the dynamic interplay of socio-economic factors and technological activities amongst many other factors, these have devastating consequences on human health. Thus environmental degradation consequences affect the health and the right to health of the people. Using the doctrinal method of research, we examine the confluence of environmental degradation and health from a rights perspective. An unhealthy environment possess health hazards consequently a violation of the right to health. The article recommends that states’ obligation under international law to protect the right to health should be enforceable. Human beings are entitled to right to health even as the environment needs to be protected from activities which cause environmental degradation.


2018 ◽  
Vol 10 (10) ◽  
pp. 3627 ◽  
Author(s):  
Brantley Liddle

This paper considers a recently developed consumption-based carbon emissions database from which emissions calculations are made based on the domestic use of fossil fuels plus the embodied emissions from imports minus exports, to test directly for the importance of trade in national emissions. The People’s Republic of China (PRC) alone is responsible for over half the global outflows of carbon via trade. The econometric estimations—which focused on a panel of 20 Asian countries—determined that: (i) trade flows were significant for consumption-based emissions but not for territory-based emissions; and (ii) exports and imports offset each other in that exports lower consumption-based emissions, whereas imports increase them. Hence, all countries should have both an interest and a responsibility to help lower the carbon intensity of energy in countries that are particularly important for global carbon transfers—the PRC and India.


Author(s):  
Yingying Zhou ◽  
Yaru Xu ◽  
Chuanzhe Liu ◽  
Zhuoqing Fang ◽  
Jiayi Guo

The spatial autocorrelation analysis method was applied to panel data from the provinces of China (including autonomous regions and municipalities directly under the central government) for the period 2003 to 2016 in order to construct a spatial Durbin model of technological progress and financial support in relation to reductions in carbon emissions. The results show that China’s carbon intensity presents significant spatial spillover effects under different spatial weights, which indicates that the carbon intensity of a province is influenced not only by its own characteristics, but also by the carbon emission behaviors of geographically adjacent and economically similar provinces and regions. Financial structure, financial scale, and financial efficiency all have significant effects on carbon intensity within a province, while financial structure is also linked to carbon intensity in other regions, but financial scale has no significant spillover effect on carbon intensity in space. Areas with high financial efficiency can reduce their own carbon intensity as well as that of surrounding areas. The inter-regional spillover effect of technological progress on carbon intensity is stronger than the spillover effect, but there is a time lag.


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