scispace - formally typeset
Proceedings ArticleDOI

Development options for the Dutch gas distribution grid in a changing gas market

TLDR
A decision tree on the optimal green gas supply configuration can be identified and Generating multiple options and showing the advantage and disadvantage of them provides the distribution service operators insight in the available options and eases the decision making on investments of the gas distribution grid.
Abstract
The Dutch gas distribution grid faces several changes in the near future. Among others, the share of green gas will grow, the interaction with the electricity distribution grid and local heat grids will increase, and the grid will transform from a mono-gas system to a multi-gas system. The gas distribution grid is likely to be expanded with novel components, e.g. blending stations, gas storage sites, and gas compressor stations. Furthermore, these changes require the currently passive gas distribution grid to become a smart gas grid that monitors and controls the gas pressure, gas flow, and gas quality. Therefore, the distribution service operators need to make investments in the gas distribution grid. When looking at for example the introduction of green gas, a decision tree on the optimal green gas supply configuration can be identified. Decisions in this respect consider, among others, the location of several process steps (perform the process step locally at a small scale or centrally at a larger scale) and the addition of components like a gas storage site or a compressor station. Due to the multitude of development options for the gas distribution grid and the fact that the best solution is largely dependent on the local situation and performance criteria (e.g. CO 2 emission minimization or cost minimization), a tool is required that can generate situation specific solutions. Each solution generated by the tool should have its own advantages and disadvantages. Generating multiple options and showing the advantage and disadvantage of them provides the distribution service operators insight in the available options and eases the decision making on investments of the gas distribution grid.

read more

Citations
More filters

De Nederlandse gasketen in een geliberaliseerde markt: contractuele en buitencontractuele aansprakelijkheid van groen-gasinvoeding en waterstofbijmenging

TL;DR: In this paper, the authors present a proefschrift to define the vraag wie aansprakelijk gesteld kan worden voor schade.
DissertationDOI

Designing the biomethane supply chain through automated synthesis

TL;DR: In this article, a decision support tool (DST) is developed to support the design process of the biomethane supply chain and the gas distribution grid, by creating candidate solutions for a certain region, which consists of biomass locations, gas grids, and gas consumers.
Proceedings ArticleDOI

The smart gas grid: state of the art and perspectives

TL;DR: The potentialities of rethinking the smart grid paradigm from the perspective of a whole energy system, that both encompasses the electrical and the gas grid, and identify some critical key aspects that must be handled while developing the new smart energy paradigm are discussed.

Dutch gas distribution grid goes green: decision support tool for local biogas utilization

TL;DR: In this paper, a decision support tool (DST) is developed to assist distribution service operators in their decision making process on which investments to make in the gas distribution grid in order to facilitate the use of biogas.
Journal ArticleDOI

Demystifying natural gas distribution grid decommissioning: An open-source approach to local deep decarbonization of urban neighborhoods

TL;DR: In this paper, the authors focus on decommissioning of the gas distribution grid for heat supply rather than trying to feed in green gas in the future, and demonstrate that alternative network infrastructures and energy technologies ensure not only an adequate but also an even superior provision of local heat energy services.
References
More filters
Book

Multi-Objective Optimization Using Evolutionary Algorithms

TL;DR: This text provides an excellent introduction to the use of evolutionary algorithms in multi-objective optimization, allowing use as a graduate course text or for self-study.
Journal ArticleDOI

Optimisation of a green gas supply chain--a review.

TL;DR: It is concluded that on installation level (micro-level) much practical knowledge is available and on macro-level knowledge about availability of biomass is available but on meso-level (operations level of a green gas supply) very little research has been done until now.

Beschikbaarheid van Nederlandse biomassa voor elektriciteit en warmte in 2020. Rapportage in opdracht van SenterNovem. Projectnr. 200809

TL;DR: In this article, the focus is on het systematisch in kaart brengen van de Nederlandse biomassa in the context van vraag naar duurzame elektriciteit and warmte, maar ook in de context of alternatieve toepassingen en duurzaamheidseisen.

Requirements of future gas distribution networks

TL;DR: A preliminary study has been carried out in order to define targeted follow-up studies, in which the technological, economic and regulative aspects of the gas distribution networks will be dealt integratively.
Related Papers (5)