Modeling and optimization of natural gas distribution networks for new supplier projects
The opening of the market and the possibility of the participation of several suppliers in Natural Gas (NG) distribution networks has raised the level of complexity associated with the quality control of the final stream to be made available to the consumer market. There are suppliers that offer low...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
|
| Series: | Energy Conversion and Management: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174522000630 |
| _version_ | 1811214954570711040 |
|---|---|
| author | O. Alves, Jr. C. Fontes |
| author_facet | O. Alves, Jr. C. Fontes |
| author_sort | O. Alves, Jr. |
| collection | DOAJ |
| description | The opening of the market and the possibility of the participation of several suppliers in Natural Gas (NG) distribution networks has raised the level of complexity associated with the quality control of the final stream to be made available to the consumer market. There are suppliers that offer lower prices but supply a lower quality of fuel which can contribute to an out-of-spec final stream (after mixing the different suppliers). On the other hand, it is not always economically viable to build Processing Units and acquire analytical equipment for gas quality control. In general, simulations in natural gas distribution networks focus on the evaluation of physical criteria and energy balance. This work presents a dynamic optimization model, validated by real case studies, for the monitoring and quality control of a natural gas stream mixing process that involves several suppliers providing varying quality levels (including out of specification streams) and prices. The results show the feasibility of executing projects for new suppliers, as well as supplying natural gas to customers who use it as a raw material and who establish more restrictive specification limits than those established by the regulatory agency. Comparing with the conventional operating strategy, the results obtained by the proposed optimization model show a reduction in the cost of distribution equal to 13.5% and 22.6% in the two case studies analyzed, respectively. |
| first_indexed | 2024-04-12T06:13:12Z |
| format | Article |
| id | doaj.art-d6fcb83d845841278a8f46594da3faf8 |
| institution | Directory Open Access Journal |
| issn | 2590-1745 |
| language | English |
| last_indexed | 2024-04-12T06:13:12Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj.art-d6fcb83d845841278a8f46594da3faf82022-12-22T03:44:37ZengElsevierEnergy Conversion and Management: X2590-17452022-08-0115100240Modeling and optimization of natural gas distribution networks for new supplier projectsO. Alves, Jr.0C. Fontes1Companhia de Gás da Bahia (Bahiagás Company), BrazilPrograma de Engenharia Industrial (Graduate Program in Industrial Engineering), Escola Politécnica (Polytechnic Institute), Universidade Federal da Bahia (Federal University of Bahia), Brazil; Corresponding author.The opening of the market and the possibility of the participation of several suppliers in Natural Gas (NG) distribution networks has raised the level of complexity associated with the quality control of the final stream to be made available to the consumer market. There are suppliers that offer lower prices but supply a lower quality of fuel which can contribute to an out-of-spec final stream (after mixing the different suppliers). On the other hand, it is not always economically viable to build Processing Units and acquire analytical equipment for gas quality control. In general, simulations in natural gas distribution networks focus on the evaluation of physical criteria and energy balance. This work presents a dynamic optimization model, validated by real case studies, for the monitoring and quality control of a natural gas stream mixing process that involves several suppliers providing varying quality levels (including out of specification streams) and prices. The results show the feasibility of executing projects for new suppliers, as well as supplying natural gas to customers who use it as a raw material and who establish more restrictive specification limits than those established by the regulatory agency. Comparing with the conventional operating strategy, the results obtained by the proposed optimization model show a reduction in the cost of distribution equal to 13.5% and 22.6% in the two case studies analyzed, respectively.http://www.sciencedirect.com/science/article/pii/S2590174522000630Natural gasDistribution networksMixing processesDynamic optimizationQuality control |
| spellingShingle | O. Alves, Jr. C. Fontes Modeling and optimization of natural gas distribution networks for new supplier projects Energy Conversion and Management: X Natural gas Distribution networks Mixing processes Dynamic optimization Quality control |
| title | Modeling and optimization of natural gas distribution networks for new supplier projects |
| title_full | Modeling and optimization of natural gas distribution networks for new supplier projects |
| title_fullStr | Modeling and optimization of natural gas distribution networks for new supplier projects |
| title_full_unstemmed | Modeling and optimization of natural gas distribution networks for new supplier projects |
| title_short | Modeling and optimization of natural gas distribution networks for new supplier projects |
| title_sort | modeling and optimization of natural gas distribution networks for new supplier projects |
| topic | Natural gas Distribution networks Mixing processes Dynamic optimization Quality control |
| url | http://www.sciencedirect.com/science/article/pii/S2590174522000630 |
| work_keys_str_mv | AT oalvesjr modelingandoptimizationofnaturalgasdistributionnetworksfornewsupplierprojects AT cfontes modelingandoptimizationofnaturalgasdistributionnetworksfornewsupplierprojects |