Abstract

As indigenous production declines, the European gas market is becoming increasingly dependent on imports. This poses energy security questions for a number of countries, particularly in the north-east of Europe. A suite of mathematical models of the European natural gas network has been borne from these concerns and has traditionally been used to assess supply disruption scenarios. The literature reveals that most existing European gas network models are insufficiently specified to analyse changes in supply and demand dynamics, appraise proposed infrastructure investments, and assess the impacts of supply disruption scenarios over a range of time horizons. Furthermore, those that are suited to these applications are typically proprietary and therefore publicly unavailable. This offers an opportunity to present a new model. The Gas Network Optimisation Model for Europe (GNOME) is a dynamic, highly granular mixed-integer linear optimisation model of the European natural gas network and its exogenous suppliers. GNOME represents demand and supply for all EU-27 Member States except Cyprus, Luxembourg, and Malta. The UK, Norway, Switzerland, Belarus, Ukraine, and Turkey are also included. Russia, the Southern Corridor suppliers, Qatar, North Africa, Nigeria, and the Americas are modelled as supply-only regions. GNOME satisfies gas demand in each country by generating a cost-minimal mix of indigenous gas production, pipeline flows, LNG imports, and storage use. If demand cannot be met using existing infrastructure, GNOME will generate a cost-optimal investment strategy of pipeline, LNG regasification, and gas storage capacity additions. The model solves on a monthly basis, from 2025 to 2040, in 5-year steps. The capabilities of GNOME are demonstrated by tasking it to analyse the impacts of a failure to complete the upcoming Nord Stream 2 pipeline between Russia and Germany. The complete formulation of GNOME including input files, equations, and source code is provided.

Highlights

  • European gas1production peaked in 2004 at 318 BCM/year and has been in steady decline since

  • From the 22 models identified in the literature, only TIGER and Wood Mackenzie Global Gas Model (WM-GGM) exhibit the necessary scope, granularity, and endogenous infrastructure investment capabilities required to robustly examine the European natural gas network

  • Gas Network Optimisation Model for Europe (GNOME) is a dynamic, highly granular cost optimisation model of the European natural gas network and is formulated as an extension of the classical transhipment problem presented by Orden [54]

Read more

Summary

Introduction

European gas1production peaked in 2004 at 318 BCM/year and has been in steady decline since. Continued high levels of single-supplier gas import dependence and the inability of some Member States to meet demand during a supply disruption event highlight potential deficiencies in the specification of the European natural gas network. Static metrics such as the HHI for gas imports and the PF-1 standard only provide warnings of potential problems. The application of dedicated, bespoke models of the European gas network can help policymakers develop a deeper understanding of such issues, and help suggest investment strategies to alleviate them Such models have been applied to ex-post analyses of supply disruptions such as the Ukraine-Russia gas disputes [11], [46] as well as hypothetical supply disruption scenarios for gas exports from North Africa [27].

Existing European Gas Models
Model Attributes
Nomenclature
67 Page 4 of 44
Geographical Scope and Granularity
Temporal Scope and Granularity
Granularity of Network Infrastructure
Representation of Gas Demand
Gas Production and Producer Behaviour
Endogenous Infrastructure Investment
Appraisal of Existing Models
Model Outline and Scope
Notation
Equations
Energy Balance
Gas Demand
Gas Supply
67 Page 20 of 44
Representation of Market Power and Gas Supply Contracts
Infrastructure
Gas Transportation Costs
Infrastructure Investment
3.4.10 Objective Function
Scenario Analysis and Results
Demand
67 Page 28 of 44
Production
Pipeline Flows
67 Page 30 of 44
LNG Flows
67 Page 34 of 44
C onclusions and Further Work
Contribution of GNOME to the State of the Art
Potential Improvements to the GNOME Model
67 Page 40 of 44
67 Page 42 of 44
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call