Reliable cost-efficient distributed energy systems with a high renewable penetration: a techno-economic case study for remote off-grid regional coal seam gas extraction

2018 ◽  
Vol 58 (2) ◽  
pp. 493
Author(s):  
Joachim Bamberger ◽  
Ti-Chiun Chang ◽  
Brian Mason ◽  
Amer Mesanovic ◽  
Ulrich Münz ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Oil And Gas ◽  
Energy Systems ◽  
Oil And Gas Industry ◽  
Energy System ◽  
Distributed Energy ◽  
Gas Emissions ◽  
Gas Industry ◽  
Oil And Gas Companies

As our energy systems evolve with the adoption of more variable renewable energy resources, so will our oil and gas industry play a pivotal role in what is expected to be a lengthy transitional phase to a greater mix of renewables with a reliance on fast, reliable gas peaking power generation, which have lower greenhouse gas emissions, and short delivery periods to construct. Oil and gas companies are also rapidly moving towards becoming integrated energy companies supplying a mix of gas, oil, photovoltaic power, wind power and hydrogen, coupling these into the electrical and gas grids. We discuss some of the components and tasks of a distributed energy system in its various system guises that contribute to a more cost effective, reliable and resilient energy system with lower greenhouse gas emissions. We discuss the role that hydrogen will play in the future as oil and gas companies explore alternatives to fossil fuels to address their need to reduce their carbon footprint, substituting or supplementing their conventional gas supply with renewably produced hydrogen. We talk about how Australia with its excellent renewable resources and the opportunity to potentially develop a new industry around the production of renewable fuels, power-to-X, such as hydrogen, with the potential for the oil and gas industry to leverage its existing assets (i.e. gas pipelines) and future embedded renewable assets to produce hydrogen through electrolysis with the intention of supplementing their liquefied natural gas exports with a portion of renewably produced hydrogen.

Revised Petroleum Industry Guidelines for Reporting Greenhouse Gas Emissions in the Oil and Gas Industry

2012 ◽  
Author(s):  
Robert Siveter ◽  
Karin Ritter ◽  
Michael Clowers ◽  
Arthur Lee ◽  
Jaime Martin Juez ◽  
...  
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Oil And Gas ◽  
Petroleum Industry ◽  
Oil And Gas Industry ◽  
Gas Emissions ◽  
Gas Industry

Digital platform for E&P Assets Business Process Optimization with a Module for Estimation and Optimizing of Greenhouse Gases Emissions. Case Study

2021 ◽  
Author(s):  
Denis Tokarev ◽  
Dmitry Tailakov ◽  
Anton Ablaev
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Business Processes ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Emissions ◽  
Gas Industry ◽  
Geological Conditions ◽  
Oil And Gas Enterprises

Resume Due to the increasing requirements for reducing the carbon footprint on the part of end users of hydrocarbons, there is a need to develop a system for automated analysis of the main business processes of oil and gas field development to assess greenhouse gas emissions, as well as for optimization in order to improve environmental safety. The paper describes a prototype of a platform that was developed for decarbonization of oil and gas enterprises using modern optimization tools and up-to-date methods for inventory of greenhouse gas emissions. The platform is based on the following models: – simulation model (IM) – simulates the company's business processes, identifying weaknesses and areas of potential development, is a set of mathematical algorithms for solving direct problems; – optimization model (OM) – allows to conduct a comprehensive analysis with a large number of parameters, excluding manual data processing and using automated information exchange between various software that is used in the oil and gas industry for modeling and monitoring of various processes, as well as developing various development options (taking into account geological conditions, geophysical interpretation, etc.). The initial conditions and the specified criteria related to economic indicators allow to solve the problem of finding the optimal parameters for the development of the selected asset. This paper shows the economic effect of implementing software based on a digital twin, implemented as a platform with the ability to build a model of an oil and gas asset, using various data (SAP, 1C, IPM GAP, Repos, Eclipse, etc.) and targets for the development. In the same way, the possible losses of the oil and gas industry from the introduction of additional carbon taxation and the potential for optimizing processes to minimize these costs are considered. IPCC methods are used to calculate greenhouse gas emissions, and direct, indirect, and fugitive emissions are considered in the calculation. The main conclusion is the need to reduce the costs for oil and gas companies and prepare modern automated digital solutions for accounting for greenhouse gas emissions in advance to achieve a zero-carbon footprint and maintain the competitiveness of the Russian oil and gas industry. As a result of the work done, the feasibility was justified, and the result was demonstrated to the customer for calculating greenhouse gas emissions based on digital twins of key business processes of oil and gas enterprises. The use of automated systems makes it possible to reduce the potential economic risks associated with the introduction of a carbon fee from large oil and gas consumers.

scholarly journals Indicators for the optimization of sustainable urban energy systems based on energy system modeling

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Christian Klemm ◽  
Frauke Wiese
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Energy Demand ◽  
Energy Systems ◽  
Energy System ◽  
Energy Sustainability ◽  
Gas Emissions ◽  
Urban Energy ◽  
Absolute Energy ◽  
Final Energy Demand

Abstract Background Urban energy systems are responsible for 75% of the world’s energy consumption and for 70% of the worldwide greenhouse gas emissions. Energy system models are used to optimize, benchmark and compare such energy systems with the help of energy sustainability indicators. We discuss several indicators for their basic suitability and their response to changing boundary conditions, system structures and reference values. The most suitable parameters are applied to four different supply scenarios of a real-world urban energy system. Results There is a number of energy sustainability indicators, but not all of them are suitable for the use in urban energy system optimization models. Shortcomings originate from the omission of upstream energy supply chains (secondary energy efficiency), from limited capabilities to compare small energy systems (energy productivity), from excessive accounting expense (regeneration rate), from unsuitable accounting methods (primary energy efficiency), from a questionable impact of some indicators on the overall system sustainability (self-sufficiency), from the lack of detailed information content (share of renewables), and more. On the other hand, indicators of absolute greenhouse gas emissions, energy costs, and final energy demand are well suitable for the use in optimization models. However, each of these indicators only represents partial aspects of energy sustainability; the use of only one indicator in the optimization process increases the risk that other important aspects will deteriorate significantly, eventually leading to suboptimal or even unrealistic scenarios in practice. Therefore, multi-criteria approaches should be used to enable a more holistic optimization and planning of sustainable urban energy systems. Conclusion We recommend multi-criteria optimization approaches using the indicators of absolute greenhouse gas emissions, absolute energy costs, and absolute energy demand. For benchmarking and comparison purposes, specific indicators should be used and therefore related to the final energy demand, respectively, the number of inhabitants. Our example scenarios demonstrate modeling strategies to optimize sustainability of urban energy systems.

Sign in / Sign up

Export Citation Format

Share Document