Planning tool for polygeneration design in microgrids

This work suggests a methodology to assist the designer during the planning phase of microgrids and eco-districts. A mixed integer linear programming model is designed to mathematically describe the different energy systems and the physical relations among them. Given the different electrical/therma...

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Main Authors: Carducci, Francesco, Bartolini, Andrea, Balamurugan, Nagarajan, Romagnoli, Alessandro, Comodi, Gabriele
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/80727
http://hdl.handle.net/10220/46586
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-807272021-01-13T07:07:37Z Planning tool for polygeneration design in microgrids Carducci, Francesco Bartolini, Andrea Balamurugan, Nagarajan Romagnoli, Alessandro Comodi, Gabriele School of Mechanical and Aerospace Engineering Energy Research Institute @ NTU (ERI@N) Micro Grid Design DRNTU::Engineering::Mechanical engineering Energy Mix Optimizaion This work suggests a methodology to assist the designer during the planning phase of microgrids and eco-districts. A mixed integer linear programming model is designed to mathematically describe the different energy systems and the physical relations among them. Given the different electrical/thermal demand profiles, the micro grid’s topology and a set of boundary conditions, the model can identify the optimum mix of (poly-)generation units and energy storage systems, as well as the necessary district heating/cooling infrastructure. Both economic and energetic cost functions are defined to explore the problem from different perspectives. The described tool is applied to study an actual district of the NTU campus in Singapore, comprising 5 multi-purpose buildings and a district cooling network supplied by centralized electrical chillers. The planning tool was run to assess the optimal configuration that minimizes the overall cost (initial investment and O&M); the outcome results presented a layout and a mix of energy systems different from the present one. In particular, the optimal configuration results to be a district cooling system served by a mix of electrical chiller plant, trigeneration distributed energy system and sensible cold thermal energy storage. Published version 2018-11-08T02:16:59Z 2019-12-06T13:57:38Z 2018-11-08T02:16:59Z 2019-12-06T13:57:38Z 2017 Journal Article Carducci, F., Bartolini, A., Balamurugan, N., Romagnoli, A., & Comodi, G. (2017). Planning tool for polygeneration design in microgrids. Energy Procedia, 143, 762-766. doi:10.1016/j.egypro.2017.12.759 1876-6102 https://hdl.handle.net/10356/80727 http://hdl.handle.net/10220/46586 10.1016/j.egypro.2017.12.759 en Energy Procedia © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Micro Grid Design
DRNTU::Engineering::Mechanical engineering
Energy Mix Optimizaion
spellingShingle Micro Grid Design
DRNTU::Engineering::Mechanical engineering
Energy Mix Optimizaion
Carducci, Francesco
Bartolini, Andrea
Balamurugan, Nagarajan
Romagnoli, Alessandro
Comodi, Gabriele
Planning tool for polygeneration design in microgrids
description This work suggests a methodology to assist the designer during the planning phase of microgrids and eco-districts. A mixed integer linear programming model is designed to mathematically describe the different energy systems and the physical relations among them. Given the different electrical/thermal demand profiles, the micro grid’s topology and a set of boundary conditions, the model can identify the optimum mix of (poly-)generation units and energy storage systems, as well as the necessary district heating/cooling infrastructure. Both economic and energetic cost functions are defined to explore the problem from different perspectives. The described tool is applied to study an actual district of the NTU campus in Singapore, comprising 5 multi-purpose buildings and a district cooling network supplied by centralized electrical chillers. The planning tool was run to assess the optimal configuration that minimizes the overall cost (initial investment and O&M); the outcome results presented a layout and a mix of energy systems different from the present one. In particular, the optimal configuration results to be a district cooling system served by a mix of electrical chiller plant, trigeneration distributed energy system and sensible cold thermal energy storage.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Carducci, Francesco
Bartolini, Andrea
Balamurugan, Nagarajan
Romagnoli, Alessandro
Comodi, Gabriele
format Article
author Carducci, Francesco
Bartolini, Andrea
Balamurugan, Nagarajan
Romagnoli, Alessandro
Comodi, Gabriele
author_sort Carducci, Francesco
title Planning tool for polygeneration design in microgrids
title_short Planning tool for polygeneration design in microgrids
title_full Planning tool for polygeneration design in microgrids
title_fullStr Planning tool for polygeneration design in microgrids
title_full_unstemmed Planning tool for polygeneration design in microgrids
title_sort planning tool for polygeneration design in microgrids
publishDate 2018
url https://hdl.handle.net/10356/80727
http://hdl.handle.net/10220/46586
_version_ 1690658374877708288