Optimal planning of integrated multi-energy systems

I. van Beuzekom; P. Pinson; M. Gibescu; J.G. Slootweg

doi:10.1109/PTC.2017.7980886

Optimal planning of integrated multi-energy systems

I. van Beuzekom, P. Pinson, M. Gibescu, J.G. Slootweg

Electrical Energy Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

2 Downloads (Pure)

Abstract

In this paper, a mathematical approach for the optimal planning of integrated energy systems is proposed. In order to address the challenges of future, RES-dominated energy systems, the model deliberates between the expansion of traditional energy infrastructures, the integration of these infrastructures using conversion technologies (e.g. gas-to-electricity-and-heat, power-to-heat, power-to-gas), and the placement of energy storage. The model is demonstrated using a representative case study from the city of Eindhoven. Current energy data from 2015 is combined with city development scenarios and sustainability goals for 2030 and 2045. Optimal green- and brownfield designs for a district's future integrated energy system are compared using a one-step, as well as a two-step planning approach. As expected, the greenfield designs are more cost efficient, as their results are not constrained by the existing infrastructure.

Original language	English
Title of host publication	IEEE Manchester PowerTech 2017
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	978-1-5090-4237-1
DOIs	https://doi.org/10.1109/PTC.2017.7980886
Publication status	Published - 13 Jul 2017
Event	12th IEEE PES PowerTech Conference - University of Manchester, Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 12 http://ieee-powertech.org/

Conference

Conference	12th IEEE PES PowerTech Conference
Abbreviated title	PowerTech 2017
Country	United Kingdom
City	Manchester
Period	18/06/17 → 22/06/17
Other	Towards and Beyond Sustainable Energy Systems
Internet address	http://ieee-powertech.org/

Keywords

optimization
integrated energy systems planning
smart cities
systems modeling

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

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10.1109/PTC.2017.7980886

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title = "Optimal planning of integrated multi-energy systems",

abstract = "In this paper, a mathematical approach for the optimal planning of integrated energy systems is proposed. In order to address the challenges of future, RES-dominated energy systems, the model deliberates between the expansion of traditional energy infrastructures, the integration of these infrastructures using conversion technologies (e.g. gas-to-electricity-and-heat, power-to-heat, power-to-gas), and the placement of energy storage. The model is demonstrated using a representative case study from the city of Eindhoven. Current energy data from 2015 is combined with city development scenarios and sustainability goals for 2030 and 2045. Optimal green- and brownfield designs for a district's future integrated energy system are compared using a one-step, as well as a two-step planning approach. As expected, the greenfield designs are more cost efficient, as their results are not constrained by the existing infrastructure.",

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author = "{van Beuzekom}, I. and P. Pinson and M. Gibescu and J.G. Slootweg",

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AU - van Beuzekom, I.

AU - Pinson, P.

AU - Gibescu, M.

AU - Slootweg, J.G.

N1 - Conference code: 12

PY - 2017/7/13

Y1 - 2017/7/13

N2 - In this paper, a mathematical approach for the optimal planning of integrated energy systems is proposed. In order to address the challenges of future, RES-dominated energy systems, the model deliberates between the expansion of traditional energy infrastructures, the integration of these infrastructures using conversion technologies (e.g. gas-to-electricity-and-heat, power-to-heat, power-to-gas), and the placement of energy storage. The model is demonstrated using a representative case study from the city of Eindhoven. Current energy data from 2015 is combined with city development scenarios and sustainability goals for 2030 and 2045. Optimal green- and brownfield designs for a district's future integrated energy system are compared using a one-step, as well as a two-step planning approach. As expected, the greenfield designs are more cost efficient, as their results are not constrained by the existing infrastructure.

AB - In this paper, a mathematical approach for the optimal planning of integrated energy systems is proposed. In order to address the challenges of future, RES-dominated energy systems, the model deliberates between the expansion of traditional energy infrastructures, the integration of these infrastructures using conversion technologies (e.g. gas-to-electricity-and-heat, power-to-heat, power-to-gas), and the placement of energy storage. The model is demonstrated using a representative case study from the city of Eindhoven. Current energy data from 2015 is combined with city development scenarios and sustainability goals for 2030 and 2045. Optimal green- and brownfield designs for a district's future integrated energy system are compared using a one-step, as well as a two-step planning approach. As expected, the greenfield designs are more cost efficient, as their results are not constrained by the existing infrastructure.

KW - optimization

KW - integrated energy systems planning

KW - smart cities

KW - systems modeling

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DO - 10.1109/PTC.2017.7980886

M3 - Conference contribution

BT - IEEE Manchester PowerTech 2017

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 12th IEEE PES PowerTech Conference

Y2 - 18 June 2017 through 22 June 2017

ER -

Optimal planning of integrated multi-energy systems

Abstract

Conference

Keywords

UN SDGs

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